One of the biggest names in quantum computing could have just cracked open the multibillion-dollar market with a new breakthrough – Fortune

Quantinuum, the quantum computing company spun out from Honeywell, said this week that it had made a breakthrough in the technology that should help accelerate commercial adoption of quantum computers.

It has to do with real-time correction of errors.

One of the biggest issues with using quantum computers for any practical purpose is that the circuits in a quantum computer are highly susceptible to all kinds of electromagnetic interference, which causes errors in its calculations. These calculation errors must be corrected, either by using software, often after a calculation has run, or by using other physical parts of the quantum circuitry to check for and correct the errors in real time. So far, while scientists have theorized ways for doing this kind of real-time error correction, few of the methods had been demonstrated in practice on a real quantum computer.

The theoretically game-changing potential of quantum computers stems from their ability to harness the strange properties of quantum mechanics. These machines may also speed up the time it takes to run some calculations that can be done today on supercomputers, but which take hours or days. In order to achieve those results, though, ironing out the calculation errors is of utmost importance. In 2019, Google demonstrated that a quantum computer could perform one esoteric calculation in 200 seconds that it estimated would have taken a traditional supercomputer more than 10,000 years to compute. In the future, scientists think quantum computers will help make the production of fertilizer much more efficient and sustainable as well as create new kinds of space-age materials.

Thats why it could be such a big deal that Quantinuum just said it has demonstrated two methods for doing real-time error correction of the calculations a quantum computer runs.

Tony Uttley, Quantinuums chief operations officer, says the error-correction demonstration is an important proof point that the company is on track to being able to deliver a quantum advantage for some real-world commercial applications in the next 18 to 24 months. That means businesses will able to run some calculationspossibly for financial risk or logistics routingsignificantly faster, and perhaps with better results, by using quantum computers for at least part of the calculation than they could by just using standard computer hardware. This lends tremendous credibility to our road map, Uttley said.

Theres a lot of money in Quantinuums road map. This past February, the firms majority shareholder, Honeywell, foresaw revenue in Quantinuums future of $2 billion by 2026. That future could have just drawn nearer.

Uttley says that today, there is a wide disparity in the amount of money different companies, even direct competitors in the same industry, are investing in quantum computing expertise and pilot projects. The reason, he says, is that there are widely varying beliefs in how soon quantum computers will be able to run key business processes faster or better than existing methods on standard computers. Some people think it will happen in the next two years. Others think these nascent machines will only start to realize their business potential a decade from now. Uttley says he hopes this weeks error-correction breakthrough will help tip more of Quantinuums potential customers into the two-year camp.

A $2 billion market opportunity

Honeywells projection of at least $2 billion in revenue from quantum computing by 2026 was a revisiona year earlier than it had previously forecast. The error-correction breakthrough ought to give Honeywell more confidence in that projection.Quantinuum is one of the most prominent players in the emerging quantum computer industry, with Honeywell having made a bold and so far successful bet on one particular way of creating a quantum computer. That method is based on using powerful electromagnets to trap and manipulate ions. Others, such as IBM , Google, and Rigetti Computing, have created quantum computers using superconducting materials. Microsoft has been trying to create a variation of this superconducting-based quantum computer but using a slightly different technology that would be less prone to errors. Still others are creating quantum computers using lasers and photons. And some companies, such as Intel, have been working on quantum computers where the circuits are built using more conventional semiconductors.

The ability to perform real-time error correction could be a big advantage for Quantinuum and its trapped-ionbased quantum computers as it competes for a commercial edge over competing quantum computer companies. But Uttley points out that besides selling access to its own trapped-ion quantum computers through the cloud, Quantinuum also helps customers run algorithms on IBMs superconducting quantum computers. (IBM is also an investor in Quantinuum.)

Different kinds of algorithms and calculations may be better suited to one kind of quantum computer over another. Trapped ions tend to remain in a quantum state for relatively long periods of timewith the record being an hour. Superconducting circuits, on the other hand, tend to stay in a quantum state for a millisecond or less. But this also means that it takes much longer for a trapped-ion quantum computer to run a calculation than for a superconducting one, Uttley says. He envisions a future of hybrid computing where different parts of an algorithm are run on different machines in the cloudpartially on a traditional computer, partly on a trapped-ion quantum computer, and partly on a superconducting quantum computer.

In a standard computer, information is represented in a binary form, either a 0 or a 1, called a bit. Quantum computers use the principles of quantum mechanics to form their circuits, with each unit of the circuit called a qubit. Qubits can represent both 0 and 1 simultaneously. This means that each additional qubit involved in performing calculations doubles the power of a quantum computer. This doubling of power for every additional qubit is one reason that quantum computers will, in theory, be far more powerful than even todays largest supercomputers. But this is only true if the issue of error-correction can be successfully tackled and if scientists can figure out how to successfully link enough qubits together to exceed the power of existing standard high-performance computing clusters.

Quantinuum demonstrated two different error-correction methodsone called the five-qubit code and the other called the Steane code. Both methods use multiple physical qubits to represent one logical part of the circuit, with some of those qubits actually performing the calculation and the others checking and correcting errors in the calculation. As the name suggests, the five-qubit code uses five qubits, while the Steane code uses seven qubits. Uttley says that Quantinuum discovered that the Steane code worked significantly better than the five-qubit code.

That may mean it will become the dominant form of error correction, at least for trapped-ion quantum computers, going forward.

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One of the biggest names in quantum computing could have just cracked open the multibillion-dollar market with a new breakthrough - Fortune

Researchers Find Breakthrough on Quantum Computing With Silicon Chips – TechAcute

Researchers from Simon Fraser University were successful in making a breakthrough in the field of quantum technology development. Their study paves the way for creating silicon-based quantum computing processors compatible with the existing semiconductor manufacturing technology.

The researchers light up the silicon chips tiny defects with intense light beams. Stephanie Simmons, the principal investigator of the research, explains that the imperfections of the chips serve as an information carrier. Investigators point out that the tiny defect reflects the transmitted light.

Some of the naturally occurring silicon imperfections may act as quantum bits or qubits. Scientists consider these defects as spin qubits. Also, previous research shows how silicon produces long-lived and stale qubits.

Daniel Higginbottom, their lead author, considers this breakthrough promising. He explains that the researchers were able to combine silicon defects with quantum physics when it was considered to be impossible to do before.

Furthermore, he notes that while silicon defects have been studied extensively from the 1970s to the 1990s and quantum physics research being done for decades, its only now that they saw these two studies come together. He says that by utilizing optical technology in silicon defects[theyve] have found something with applications in quantum technology thats certainly remarkable.

Simmons acknowledges that quantum computing is the future of computers with its capability to solve simple and complex problems, however, its still in its early stages. But with the use of silicon chips, the process can become more streamlined and bring quantum computing faster to the public than expected.

This study demonstrates the possibility of making quantum computers with enough power and scale to manage significant computation. It gives an opportunity for advancements in the fields of cybersecurity, chemistry, medicine, and other fields.

Photo credit: The feature image is symbolic and has been taken by Solar Seven.Sources: Chat News Today / Quantum Inspire

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Researchers Find Breakthrough on Quantum Computing With Silicon Chips - TechAcute

"Quantum materials" could give the human brain a run for its money – Inverse

Why cant a computer both play chess and recognize images familiar to most people? Its a simple question that cuts to the core of the biggest challenges in computing today: Despite their immense processing power, todays computers still fail when confronted with some of the most basic human tasks.

The problem stems from computers lack of general intelligence, or the ability to excel at more than just one task. Despite our range of niche obsessions, us humans tend to be pretty good at this but we cant say the same for machines. While the Deep Blue supercomputer bested humans at chess over two decades ago, it would have utterly failed at, say, comprehending the meaning of a handshake (so it doesnt sound too fun to hang out with).

Now, powerful machine learning algorithms are edging closer toward general intelligence by demonstrating their ability to recognize patterns and emulate human speech. But true general intelligence remains difficult for devices to achieve.

To tackle this feat, researchers have recently proposed computer designs inspired by the human brains structure, specifically its tens of billions of neurons that are laced together into intricate, interrelated networks.

Even the massive supercomputers that require enough energy to run a small town havent been able to achieve the intelligence inherent in the human mind. Xinhua/Getty Images

Take, for instance, the SpiNNaker supercomputer from the University of Manchester in England. The high-tech machine can emulate tens of thousands of neurons to mimic the way a brain works.

But thats still only a fraction of the number of neurons contained in our powerful heads, and SpiNNaker is a long way from being human. Instead, Axel Hoffmann, a materials scientist at the University of Illinois at Urbana-Champaign, hopes that the solution lies in futuristic quantum materials.

In a paper published in the journal APL Materials last month, Hoffmann and his co-authors explore how these materials would enable computer chips to behave like human neurons. These chips could carry out functions far more efficiently than most computers, and even form networks that behave like regions of the brain.

The Power Problem Its difficult to create computers with human-like cognition because we need massive amounts of power to emulate the brain. While our minds only require about 20 watts of power to do their thing, a supercomputer like Chinas Tianhe-2 sucks up 17.8 million watts (enough to power a small town) and still hasnt reached general intelligence.

Clearly, throwing more processors at the problem isnt a sustainable solution. Thats why scientists like Hoffmann are rethinking the basic architecture of a computer, which encodes information using long strings of ones and zeros.

Maintaining those ones and zeros takes a lot of energy, partly because computers need to keep them strictly separated, Hoffmann says.

And unlike the mind, traditional computers carry out their processing separately from their memory. That means they use a lot of energy simply carrying information back and forth from memory to processor, which sounds pretty exhausting.

By imitating networks of neurons in the human brain, computer chips made of quantum materials could allow for more efficient, intelligent devices that perhaps rival our own minds.ARTUR PLAWGO / SCIENCE PHOTO LIBRARY/Science Photo Library/Getty Images

Recreating Neurons To circumvent this problem, Hoffmann and other researchers want to make computer chips inspired by the basic mechanics of our brains neurons and synapses. In their APL Materials paper, Hoffmann and his co-authors lay out an innovative approach that would incorporate circuits made not of silicon, the current standard ingredient, but of quantum materials.

A quantum material may sound far-fetched, but Hoffmann says its simply an umbrella term for materials with properties that traditional models of physics cant quite explain. (Quantum materials are also distinct from quantum computers, which rely on units of information called qubits that hold superpositions of a one and a zero simultaneously.)

Specifically, Hoffmann is most interested in materials that can change state from, for instance, a zero to a one with very little energy input, also called non-linear responses. This property is found in substances such as vanadium dioxide, a dark blue compound that can transition efficiently from a conductor to an insulator, and do so at nearly room temperature.

Hoffmann likens such responses to what goes down in water when its heated or cooled. When we change the temperature of water, not much happens until suddenly it either freezes or starts boiling, he says.

Crossing the threshold The neurons in our brains rely on similar tipping points, also called thresholds. Mimicking that property within a computer circuit made of vanadium oxide could unlock super-powerful computing abilities at a fraction of the energy cost. This could be a big step forward in establishing energy-efficient brain-like systems, Hoffmann says.

To take advantage of these tipping points, researchers can utilize materials that can change how they're magnetized. Theoretically, these materials would oscillate between different magnetic states, benefitting from the kind of non-linear responses Hoffmann is searching for. While it's still an area of developing research, scientists have observed these kinds of magnetic oscillations in layered combinations of metals like iron and rhodium, along with cobalt and nickel.

Metals like the rhodium shown here can be incorporated into materials that switch between magnetic states and act somewhat like neurons.Shutterstock

It appears that these magnetic oscillators can resemble a lot of the properties that we know from natural neurons, he says.

Along with providing computers with brain-inspired efficiency, Hoffman and his colleagues see additional possibilities for machines concocted from quantum materials. For example, when hooked together, magnetic oscillators seem to influence each other, much in the same way that networks of neurons work in sync to perform complex tasks. This behavior could eventually pave the way for general intelligence and perhaps even consciousness.

We believe that larger networks of coupled magnetic oscillators may provide similarly complex dynamics as the natural brain, Hoffmann says.

All in all, this development could mark a major step toward forging artificial intelligence that can rival our own minds. And while theyre at it, computers may even become better conversationalists.

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"Quantum materials" could give the human brain a run for its money - Inverse

Vitalik Buterin, The Future Of Ethereum (ETH) And The Challenge Of Quantum Computing – Nation World News

Vitalik Buterin believes that the future of the Ethereum blockchain and crypto ETH is good, but there are many challenges to be solved.

Not long ago the founder of Ethereum made public about the future of blockchain which is widely used for various crypto projects. Heres the gist of what he told BUIDL in Asia programahead of plan Sickness going to Ethereum 2.0 Which will be held in September 2022.

The ZK-Rollup project is considered the most important foundation Example The Ethereum blockchain is getting widespread.

There are ZK-rollups Crypto transaction protocol that allows indirect transactions via the Ethereum blockchain aka off-chain,

This method will radically speed up transactions and increase their volume. In the end this will increase efficiency and expand Example Ethereum blockchain itself, including adoption ETH As for its crypto.

This technique is similar to the technique power network Used to improve from 2018 Example Blockchain Litecoin and Bitcoin.

In the long term, ZK-rollups will outperform optimistic rollup techniques, Vitalik said.

Again according to Vitalik, Ethereum developers should be prepared to face the threat of quantum computing, which is expected to get exponentially better in terms of speed.

The discourse on quantum computing, which is considered a major threat to current blockchain technology, including bitcoin, has been going on since 4 years ago.

Because at that time quantum computing technology experienced significant development, after it was proved that it is capable of computing very complex calculations in just 10 minutes. If you use todays supercomputers, it could take up to thousands of years.

Quantum computing does not rely on the combination of 0 or 1 numbers, binary numbers, but on the concept of qubitwhere two states Can run at once, i.e. 0 or 1 and 0 and 1. This may be because the processor does not take advantage of the electrical dynamics of transistors, but particles at the subatomic level.

This means that the computational speed is millions of times higher than that of todays supercomputers and is expected to continue to increase in the future to make it easier for humans to do their jobs.

The problem is that the smarter quantum computers are, the more they threaten current human cryptographic security systems, including the bitcoin blockchain that uses SHA256.

Vitalik Buterin: Googles quantum computer failed

This huge growth in quantum computing was noted by Vitalik last year, that the power of new computers is not a threat now, but will be in the future.

This is because quantum computing promises a new world of derivative technology, but at the same time poses a threat to traditional technology. This is exactly what happened when the first supercomputer was developed.

You can read the Blockchainmedia.id archive Related to quantum computing on this page,

We are currently working with several artificial intelligence researchers to develop new algorithms that can compete with the high capabilities of quantum computing. This is still a long way off, between 10-30 years from now, said Vitalik. he said. [ps]

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Vitalik Buterin, The Future Of Ethereum (ETH) And The Challenge Of Quantum Computing - Nation World News

2022-08-09 | NDAQ:WKEY | Press Release | WISeKey International Holding AG – Stockhouse

WISeKey Implementing PostQuantum Algorithms in itsSecure Semiconductors MS6001/MS6003

Geneva August 9, 2022 WISeKey International Holding Ltd (WISeKey ) (SIX: WIHN, NASDAQ: WKEY), a leading global cybersecurity, AI, Blockchain and IoT company, announces substantial progress in the implementation of post-quantum algorithms in its Secure Semiconductors MS6001/MS6003.

During the last two years, WISeKey has made substantial progress in developing post-quantum resistant algorithms by establishing strategic R&D partnerships with MINES Saint-Etienne Research Institute (MINES Saint-Etienne”), an internationally renowned multidisciplinary university and lab created in 1816, aiming to help the international community find cryptography algorithms that will resist future quantum computing based cyber-attacks.

The WISeKey’s team of experts is working with several NIST’s candidates for the MS600X Common Criteria products: Crystals-Kyber for key exchange mechanism, and Crystals-Dilithium for signatures. The partnership is focusing into the practical implementation aspects for both algorithms, considering physical side-channel attack and deep learning process. This work completes the implementation of NTRU and ROLLO algorithms that the team has already studied, paving the way of a complete post-quantum cryptography toolbox.

This post-quantum cryptography toolbox will help to protect against the security threat posed by quantum computers, allowing hybrid solutions no later than 2025 as recommended by the French ANSSI. In addition to this, WISeKey will upgrade its PKI offer, adding new post-quantum features for the IoT market: Secure authentication, Brand protection, Network communications, future FIDO (Fast IDentity Online”) evolutions and additional generally web-connected smart devices that obtain, analyze, and process the data collected from their surroundings.

WISeKey is also working with NIST to define recommended practices for performing trusted network-layer onboarding, which will aid in the implementation and use of trusted onboarding solutions for IoT devices at scale. The WISeKey contribution to the project will be Trust Services for credentials and secure semiconductors to keep credential secure. Specifically, WISeKey will offer INeS Certificate Management Service (CMS) for issuing credentials and VaultIC secure semiconductors to provide tamperproof key storage and cryptographic acceleration.

While quantum computing offers endless perspectives to incredibly increase computing power, hackers will take advantage of this technology to crack cryptography algorithms, corrupt cybersecurity and compromise global economy. Research about quantum computing, namely how to use quantum mechanical phenomena to perform fast computation, was initiated in the early 1980s. The perspectives and unbelievable performances offered by this promising technology are so huge that many countries are sponsoring public/private R&D initiatives.

WISeKey brings its decades of expertise in designing Common Criteria EAL5+ and FIPS 140-2 Level 3 certified hardware based secure elements (MS600x secure microcontrollers, VaultIC, etc.) and in developing hacker resistant firmware. The new algorithms to be evaluated will first have to practically run on WISeKey’s existing and new hardware architectures. The Company will also share its expertise in deep learning AI techniques to prove the robustness of the implementations.

About WISeKey WISeKey (NASDAQ: WKEY; SIX Swiss Exchange: WIHN) is a leading global cybersecurity company currently deploying large scale digital identity ecosystems for people and objects using Blockchain, AI and IoT respecting the Human as the Fulcrum of the Internet. WISeKey microprocessors secure the pervasive computing shaping today’s Internet of Everything. WISeKey IoT has an install base of over 1.5 billion microchips in virtually all IoT sectors (connected cars, smart cities, drones, agricultural sensors, anti-counterfeiting, smart lighting, servers, computers, mobile phones, crypto tokens etc.). WISeKey is uniquely positioned to be at the edge of IoT as our semiconductors produce a huge amount of Big Data that, when analyzed with Artificial Intelligence (AI), can help industrial applications to predict the failure of their equipment before it happens.

Our technology is Trusted by the OISTE/WISeKey’s Swiss based cryptographic Root of Trust (RoT”) provides secure authentication and identification, in both physical and virtual environments, for the Internet of Things, Blockchain and Artificial Intelligence. The WISeKey RoT serves as a common trust anchor to ensure the integrity of online transactions among objects and between objects and people. For more information, visit http://www.wisekey.com.

Press and investor contacts: WISeKey International Holding Ltd Company Contact: Carlos Moreira Chairman & CEO Tel: +41 22 594 3000 info@wisekey.com WISeKey Investor Relations (US) Contact: Lena Cati The Equity Group Inc. Tel: +1 212 836-9611 lcati@equityny.com

Disclaimer: This communication expressly or implicitly contains certain forward-looking statements concerning WISeKey International Holding Ltd and its business. Such statements involve certain known and unknown risks, uncertainties, and other factors, which could cause the actual results, financial condition, performance, or achievements of WISeKey International Holding Ltd to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. WISeKey International Holding Ltd is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise. This press release does not constitute an offer to sell, or a solicitation of an offer to buy, any securities, and it does not constitute an offering prospectus within the meaning of article 652a or article 1156 of the Swiss Code of Obligations or a listing prospectus within the meaning of the listing rules of the SIX Swiss Exchange. Investors must rely on their own evaluation of WISeKey and its securities, including the merits and risks involved. Nothing contained herein is, or shall be relied on as, a promise or representation as to the future performance of WISeKey.

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2022-08-09 | NDAQ:WKEY | Press Release | WISeKey International Holding AG - Stockhouse

Mainstream Crypto-Agility and Other Emerging Trends in Cryptography: Part 2 – Security Boulevard

Contact Sales[emailprotected]+1-216-931-0465

In the first article of the two-part series, Ted Shorter, CTO, Keyfactor, discussed a few key trends in cryptography and public key infrastructure (PKI). In this article, the second of the series, he discusses a few more crucial trends to watch out for in cryptography this year.

In todays digital world, cryptography has emerged as one of the most important tools for building secure systems. By properly leveraging cryptography, modern businesses can ensure the integrity, confidentiality, and authenticity of sensitive data that is essential to essential to business operations.

In the first part of this series, we discussed some of the biggest trends andemerging changes in cryptographythat we expect to have a huge impact on a companys business and cryptographic needs. Rounding out the list, here are two more of the most significant trends in cryptography that we expect to see this year.

A growing awareness of supply chain risk, the global drive toward zero-trust, and the widespread adoption of public key infrastructure (PKI) for software security requires that organizations give priority to crypto-agility, the ability to rapidly switch between multiple cryptographic primitives and algorithms without the rest of the systems infrastructure being significantly affected by the changes. In fact,according to Keyfactor and Ponemon Institute, 57% of IT and security leaders have identified crypto-agility as a leading strategic priority in preparing for quantum computing.

Today, speed and security rule the world of enterprise technology. Unfortunately, the two are often at odds, creating a disconnect between DevOps and security teams. DevOps teams need to move fast to develop products that are in line with market needs, and many are not all that concerned about where certificates are issued from and what policies they comply with, so long as they have what they need to keep moving forward at speed. Faced with this primary concern, many DevOps teams have started to issue their own digital certificates, creating numerous blind spots for their security counterparts and leaving their solutions open to risk. In fact, most security teams do not fully know how many certificates have been issued, let alone where they live and when they expire.

The key to bridging this divide without sacrificing speed or security is introducing back-end controls for certificates that get issued through DevOps tools. This approach allows DevOps teams to move as quickly as they need to without changing their existing architecture since they can continue to issue and use certificates the same way they have been. But on the back-end, it gives security teams visibility into every certificate that gets issued to enforce policies and ensure accountability. And with automated certificate lifecycle management, the security team can automatically renew certificates as they expire to help ensure nothing breaks and to manage certificates with the necessary speed.

This type of collaboration will give rise to true crypto-agility. Organizations will use cryptography to its full potential, including rolling out digital identities as needed, securing the software supply chain, and deploying PKI to support DevSecOps, all with the ability to respond to changes rapidly.

The potential impact of quantum technology threatens both national security and the very foundation upon which internet security is based. According to the National Security Agency, a quantum computer of sufficient size and sophistication will be able to break much of the public-key cryptography used on digital systems across the United States.

In early May, the Biden-Harris administration announced an Executive Order that would bolster the National Quantum Initiative Advisory Committee. The committee guides policymaking and will work directly under the White House to ensure President Biden, Congress, federal agencies, and the public have the latest, most accurate information about advances in quantum technology. At the same time, President Joe Biden signed a National Security Memorandum, which outlines steps to mitigate the risks posed to Americas cybersecurity infrastructure. Both directives are intended to advance national initiatives in quantum science and raise awareness of the potential threats quantum computing will bring to the integrity of internet security.

In addition, a number of industry groups, including those in the automotive and medical industries, are developing their own security baselines. As the looming threat of quantum computing draws nearer, we will start to see more adoption of security standards as guidelines or even regulations.

The high-profile cyber incidents of the past year have thrown a spotlight on the sudden and significant impact modern threats can have on an organizations cybersecurity and cryptographic needs. As we muse on what the coming year will bring, trust and agility will become paramount to ensuring businesses continue to operate securely. In the face of the disruptive events of the last year, enterprises have increasingly embraced the zero-trust principle, trust nothing, validate everything. In this model, PKI and machine identities have emerged as essential technologies to authenticate and establish digital trust between users, devices, and workloads across the business.

However, it is important to remember that trust is not static. As the threat landscape evolves and new technologies like quantum computing emerge, security standards will inevitably change. An organizations ability to effectively manage and quickly adapt PKI infrastructure and machine identities to new algorithms, standards, and environments (i.e., their crypto-agility) will be equally important.

The good news is that organizations are becoming more aware of the urgency to become more crypto agile. In ourrecent surveyanalyzing the role of PKI, keys, and digital certificates in securing IT organizations, preparing for crypto-agility was ranked as a top strategic priority for digital security by 57% of IT security professionals. As the threat landscape continues to evolve, cryptographys importance will only grow along with the need for centralized management of machine identities.

In the first article of the two-part series, Ted Shorter, CTO, Keyfactor, discussed a few key trends in cryptography and public key infrastructure (PKI). In this article, the second of the series, he discusses a few more crucial trends to watch out for in cryptography this year.

In todays digital world, cryptography has emerged as one of the most important tools for building secure systems. By properly leveraging cryptography, modern businesses can ensure the integrity, confidentiality, and authenticity of sensitive data that is essential to essential to business operations.

In the first part of this series, we discussed some of the biggest trends andemerging changes in cryptographythat we expect to have a huge impact on a companys business and cryptographic needs. Rounding out the list, here are two more of the most significant trends in cryptography that we expect to see this year.

A growing awareness of supply chain risk, the global drive toward zero-trust, and the widespread adoption of public key infrastructure (PKI) for software security requires that organizations give priority to crypto-agility, the ability to rapidly switch between multiple cryptographic primitives and algorithms without the rest of the systems infrastructure being significantly affected by the changes. In fact,according to Keyfactor and Ponemon Institute, 57% of IT and security leaders have identified crypto-agility as a leading strategic priority in preparing for quantum computing.

Today, speed and security rule the world of enterprise technology. Unfortunately, the two are often at odds, creating a disconnect between DevOps and security teams. DevOps teams need to move fast to develop products that are in line with market needs, and many are not all that concerned about where certificates are issued from and what policies they comply with, so long as they have what they need to keep moving forward at speed. Faced with this primary concern, many DevOps teams have started to issue their own digital certificates, creating numerous blind spots for their security counterparts and leaving their solutions open to risk. In fact, most security teams do not fully know how many certificates have been issued, let alone where they live and when they expire.

The key to bridging this divide without sacrificing speed or security is introducing back-end controls for certificates that get issued through DevOps tools. This approach allows DevOps teams to move as quickly as they need to without changing their existing architecture since they can continue to issue and use certificates the same way they have been. But on the back-end, it gives security teams visibility into every certificate that gets issued to enforce policies and ensure accountability. And with automated certificate lifecycle management, the security team can automatically renew certificates as they expire to help ensure nothing breaks and to manage certificates with the necessary speed.

This type of collaboration will give rise to true crypto-agility. Organizations will use cryptography to its full potential, including rolling out digital identities as needed, securing the software supply chain, and deploying PKI to support DevSecOps, all with the ability to respond to changes rapidly.

The potential impact of quantum technology threatens both national security and the very foundation upon which internet security is based. According to the National Security Agency, a quantum computer of sufficient size and sophistication will be able to break much of the public-key cryptography used on digital systems across the United States.

In early May, the Biden-Harris administration announced an Executive Order that would bolster the National Quantum Initiative Advisory Committee. The committee guides policymaking and will work directly under the White House to ensure President Biden, Congress, federal agencies, and the public have the latest, most accurate information about advances in quantum technology. At the same time, President Joe Biden signed a National Security Memorandum, which outlines steps to mitigate the risks posed to Americas cybersecurity infrastructure. Both directives are intended to advance national initiatives in quantum science and raise awareness of the potential threats quantum computing will bring to the integrity of internet security.

In addition, a number of industry groups, including those in the automotive and medical industries, are developing their own security baselines. As the looming threat of quantum computing draws nearer, we will start to see more adoption of security standards as guidelines or even regulations.

The high-profile cyber incidents of the past year have thrown a spotlight on the sudden and significant impact modern threats can have on an organizations cybersecurity and cryptographic needs. As we muse on what the coming year will bring, trust and agility will become paramount to ensuring businesses continue to operate securely. In the face of the disruptive events of the last year, enterprises have increasingly embraced the zero-trust principle, trust nothing, validate everything. In this model, PKI and machine identities have emerged as essential technologies to authenticate and establish digital trust between users, devices, and workloads across the business.

However, it is important to remember that trust is not static. As the threat landscape evolves and new technologies like quantum computing emerge, security standards will inevitably change. An organizations ability to effectively manage and quickly adapt PKI infrastructure and machine identities to new algorithms, standards, and environments (i.e., their crypto-agility) will be equally important.

The good news is that organizations are becoming more aware of the urgency to become more crypto agile. In ourrecent surveyanalyzing the role of PKI, keys, and digital certificates in securing IT organizations, preparing for crypto-agility was ranked as a top strategic priority for digital security by 57% of IT security professionals. As the threat landscape continues to evolve, cryptographys importance will only grow along with the need for centralized management of machine identities.

In the first article of the two-part series, Ted Shorter, CTO, Keyfactor, discussed a few key trends in cryptography and public key infrastructure (PKI). In this article, the second of the series, he discusses a few more crucial trends to watch out for in cryptography this year.

In todays digital world, cryptography has emerged as one of the most important tools for building secure systems. By properly leveraging cryptography, modern businesses can ensure the integrity, confidentiality, and authenticity of sensitive data that is essential to essential to business operations.

In the first part of this series, we discussed some of the biggest trends andemerging changes in cryptographythat we expect to have a huge impact on a companys business and cryptographic needs. Rounding out the list, here are two more of the most significant trends in cryptography that we expect to see this year.

A growing awareness of supply chain risk, the global drive toward zero-trust, and the widespread adoption of public key infrastructure (PKI) for software security requires that organizations give priority to crypto-agility, the ability to rapidly switch between multiple cryptographic primitives and algorithms without the rest of the systems infrastructure being significantly affected by the changes. In fact,according to Keyfactor and Ponemon Institute, 57% of IT and security leaders have identified crypto-agility as a leading strategic priority in preparing for quantum computing.

Today, speed and security rule the world of enterprise technology. Unfortunately, the two are often at odds, creating a disconnect between DevOps and security teams. DevOps teams need to move fast to develop products that are in line with market needs, and many are not all that concerned about where certificates are issued from and what policies they comply with, so long as they have what they need to keep moving forward at speed. Faced with this primary concern, many DevOps teams have started to issue their own digital certificates, creating numerous blind spots for their security counterparts and leaving their solutions open to risk. In fact, most security teams do not fully know how many certificates have been issued, let alone where they live and when they expire.

The key to bridging this divide without sacrificing speed or security is introducing back-end controls for certificates that get issued through DevOps tools. This approach allows DevOps teams to move as quickly as they need to without changing their existing architecture since they can continue to issue and use certificates the same way they have been. But on the back-end, it gives security teams visibility into every certificate that gets issued to enforce policies and ensure accountability. And with automated certificate lifecycle management, the security team can automatically renew certificates as they expire to help ensure nothing breaks and to manage certificates with the necessary speed.

This type of collaboration will give rise to true crypto-agility. Organizations will use cryptography to its full potential, including rolling out digital identities as needed, securing the software supply chain, and deploying PKI to support DevSecOps, all with the ability to respond to changes rapidly.

The potential impact of quantum technology threatens both national security and the very foundation upon which internet security is based. According to the National Security Agency, a quantum computer of sufficient size and sophistication will be able to break much of the public-key cryptography used on digital systems across the United States.

In early May, the Biden-Harris administration announced an Executive Order that would bolster the National Quantum Initiative Advisory Committee. The committee guides policymaking and will work directly under the White House to ensure President Biden, Congress, federal agencies, and the public have the latest, most accurate information about advances in quantum technology. At the same time, President Joe Biden signed a National Security Memorandum, which outlines steps to mitigate the risks posed to Americas cybersecurity infrastructure. Both directives are intended to advance national initiatives in quantum science and raise awareness of the potential threats quantum computing will bring to the integrity of internet security.

In addition, a number of industry groups, including those in the automotive and medical industries, are developing their own security baselines. As the looming threat of quantum computing draws nearer, we will start to see more adoption of security standards as guidelines or even regulations.

The high-profile cyber incidents of the past year have thrown a spotlight on the sudden and significant impact modern threats can have on an organizations cybersecurity and cryptographic needs. As we muse on what the coming year will bring, trust and agility will become paramount to ensuring businesses continue to operate securely. In the face of the disruptive events of the last year, enterprises have increasingly embraced the zero-trust principle, trust nothing, validate everything. In this model, PKI and machine identities have emerged as essential technologies to authenticate and establish digital trust between users, devices, and workloads across the business.

However, it is important to remember that trust is not static. As the threat landscape evolves and new technologies like quantum computing emerge, security standards will inevitably change. An organizations ability to effectively manage and quickly adapt PKI infrastructure and machine identities to new algorithms, standards, and environments (i.e., their crypto-agility) will be equally important.

The good news is that organizations are becoming more aware of the urgency to become more crypto agile. In ourrecent surveyanalyzing the role of PKI, keys, and digital certificates in securing IT organizations, preparing for crypto-agility was ranked as a top strategic priority for digital security by 57% of IT security professionals. As the threat landscape continues to evolve, cryptographys importance will only grow along with the need for centralized management of machine identities.

In the first article of the two-part series, Ted Shorter, CTO, Keyfactor, discussed a few key trends in cryptography and public key infrastructure (PKI). In this article, the second of the series, he discusses a few more crucial trends to watch out for in cryptography this year.

In todays digital world, cryptography has emerged as one of the most important tools for building secure systems. By properly leveraging cryptography, modern businesses can ensure the integrity, confidentiality, and authenticity of sensitive data that is essential to essential to business operations.

In the first part of this series, we discussed some of the biggest trends andemerging changes in cryptographythat we expect to have a huge impact on a companys business and cryptographic needs. Rounding out the list, here are two more of the most significant trends in cryptography that we expect to see this year.

A growing awareness of supply chain risk, the global drive toward zero-trust, and the widespread adoption of public key infrastructure (PKI) for software security requires that organizations give priority to crypto-agility, the ability to rapidly switch between multiple cryptographic primitives and algorithms without the rest of the systems infrastructure being significantly affected by the changes. In fact,according to Keyfactor and Ponemon Institute, 57% of IT and security leaders have identified crypto-agility as a leading strategic priority in preparing for quantum computing.

Today, speed and security rule the world of enterprise technology. Unfortunately, the two are often at odds, creating a disconnect between DevOps and security teams. DevOps teams need to move fast to develop products that are in line with market needs, and many are not all that concerned about where certificates are issued from and what policies they comply with, so long as they have what they need to keep moving forward at speed. Faced with this primary concern, many DevOps teams have started to issue their own digital certificates, creating numerous blind spots for their security counterparts and leaving their solutions open to risk. In fact, most security teams do not fully know how many certificates have been issued, let alone where they live and when they expire.

The key to bridging this divide without sacrificing speed or security is introducing back-end controls for certificates that get issued through DevOps tools. This approach allows DevOps teams to move as quickly as they need to without changing their existing architecture since they can continue to issue and use certificates the same way they have been. But on the back-end, it gives security teams visibility into every certificate that gets issued to enforce policies and ensure accountability. And with automated certificate lifecycle management, the security team can automatically renew certificates as they expire to help ensure nothing breaks and to manage certificates with the necessary speed.

This type of collaboration will give rise to true crypto-agility. Organizations will use cryptography to its full potential, including rolling out digital identities as needed, securing the software supply chain, and deploying PKI to support DevSecOps, all with the ability to respond to changes rapidly.

The potential impact of quantum technology threatens both national security and the very foundation upon which internet security is based. According to the National Security Agency, a quantum computer of sufficient size and sophistication will be able to break much of the public-key cryptography used on digital systems across the United States.

In early May, the Biden-Harris administration announced an Executive Order that would bolster the National Quantum Initiative Advisory Committee. The committee guides policymaking and will work directly under the White House to ensure President Biden, Congress, federal agencies, and the public have the latest, most accurate information about advances in quantum technology. At the same time, President Joe Biden signed a National Security Memorandum, which outlines steps to mitigate the risks posed to Americas cybersecurity infrastructure. Both directives are intended to advance national initiatives in quantum science and raise awareness of the potential threats quantum computing will bring to the integrity of internet security.

In addition, a number of industry groups, including those in the automotive and medical industries, are developing their own security baselines. As the looming threat of quantum computing draws nearer, we will start to see more adoption of security standards as guidelines or even regulations.

The high-profile cyber incidents of the past year have thrown a spotlight on the sudden and significant impact modern threats can have on an organizations cybersecurity and cryptographic needs. As we muse on what the coming year will bring, trust and agility will become paramount to ensuring businesses continue to operate securely. In the face of the disruptive events of the last year, enterprises have increasingly embraced the zero-trust principle, trust nothing, validate everything. In this model, PKI and machine identities have emerged as essential technologies to authenticate and establish digital trust between users, devices, and workloads across the business.

However, it is important to remember that trust is not static. As the threat landscape evolves and new technologies like quantum computing emerge, security standards will inevitably change. An organizations ability to effectively manage and quickly adapt PKI infrastructure and machine identities to new algorithms, standards, and environments (i.e., their crypto-agility) will be equally important.

The good news is that organizations are becoming more aware of the urgency to become more crypto agile. In ourrecent surveyanalyzing the role of PKI, keys, and digital certificates in securing IT organizations, preparing for crypto-agility was ranked as a top strategic priority for digital security by 57% of IT security professionals. As the threat landscape continues to evolve, cryptographys importance will only grow along with the need for centralized management of machine identities.

Get actionable insights from 1,200+ IT and security professionals on the next frontier for IAM strategy machine identities.

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Get actionable insights from 1,200+ IT and security professionals on the next frontier for IAM strategy machine identities.

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Mainstream Crypto-Agility and Other Emerging Trends in Cryptography: Part 2 - Security Boulevard

Anaconda Announces Strategic Cloud Partnership with Oracle to Enable Seamless, Secure Open-Source Innovation in the Cloud – SDTimes.com

Anaconda Inc., provider of the worlds most popular data science platform, today announced a collaboration withOracle Cloud Infrastructureto offer secure open-source Python and R tools and packages by embedding and enabling AnacondasrepositoryacrossOCI Artificial Intelligence and Machine Learning Services. Customers have access to Anaconda services directly from within OCI without a separate enterprise license.

We are committed to helping enterprises secure their open-source pipelines through the ability to use Anaconda anywhere, and that includes inside the Oracle Cloud, said Peter Wang, CEO and co-founder of Anaconda. By combining Anacondas package dependency manager and curated open-source repository with OCIs products, data scientists and developers can seamlessly collaborate using the open-source Python tools they know and trust while helping meet enterprise IT governance requirements.

Python has become the most popular programming language in the data science ecosystem, and for good reason; it is a widely-accessible language that facilitates a variety of programming-driven tasks. Because the velocity of innovation powered by the open-source community outpaces any single technology vendor, more and more organizations are adopting open-source Python for enterprise use.

Oracles partnership to provide data scientists with seamless access to Anaconda not only delivers high-performance machine learning, but also helps ensure strong enterprise governance and security, said Elad Ziklik, vice president, AI Services, Oracle. With security built into the core OCI experience, plus the security of Anacondas curated repository, data scientists can use their favorite open-source tools to build, train, and deploy models.

Together, Anaconda and Oracle are looking forward to bringing open-source innovation to the enterprise, helping apply ML and AI to the most important business and research initiatives. For more information on how to use Anaconda in OCI,click here.

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Anaconda Announces Strategic Cloud Partnership with Oracle to Enable Seamless, Secure Open-Source Innovation in the Cloud - SDTimes.com

Open-source Acorn takes a new approach to deploy cloud-native apps on Kubernetes – VentureBeat

Kubernetes has become the de facto standard for multicloud deployments, with services on every major public cloud and a host of vendor technologies, including Red Hat OpenShift and Suse Rancher.

Packaging and then deploying applications to run in cloud-native environments, with the Kubernetes container orchestration system, can be complex. Its a challenge that Acorn is looking to help solve. There is no shortage of vendors in the Kubernetes space, but Acorns pedigree is particularly strong.

Acorns cofounders, Sheng Liang, Darren Shepherd, Shannon Williams and Will Chang, were the cofounders of Rancher, which was acquired by Suse in 2020 for $600 million. Prior to founding Rancher, the group founded cloud.com, an early infrastructure-as-a-service provider that was acquired by Citrix in 2011. The technology that was cloud.com now exists as the open-source Apache CloudStack platform.

Acorn, which has raised an undisclosed amount of seed funding, just unveiled an early preview of its open-source technology.

I have a lot of respect for what Kubernetes has done, but being a user of Kubernetes, I still think it is too hard, Darren Shepherd, cofounder and chief architect of Acorn told VentureBeat. I think theres a much easier way to deploy applications on Kubernetes to harness its raw power without interacting directly with it and really having to be an expert in it.

A Kubernetes cluster can be configured in any number of ways to meet the needs of an organization, or even to meet the requirements of a particular workload. The basic idea is that a workload can be distributed across multiple nodes in a cloud, or even across clouds to help enable application availability, performance and resilience.

Shannon Williams, cofounder and president of Acorn, explained that Kubernetes itself is a platform that accepts commands, but its often up to the user deploying a workload to work through the complexity in order to get the optimal deployment. With Acorn, Williams said that his company is introducing a packaging approach that can make upgrading and consumption of containers easier for enterprises running Kubernetes workloads.

While Kubernetes provides the software infrastructure on which to run container-based application workloads, the goal with Acorn is to focus on the needs of applications.

The idea of creating a format and approach to enable the deployment of applications into Kubernetes is not a new one. There are multiple approaches, including Helm, Cloud Native Application Bundle (CNAB) and Operators, though each has its shortfalls, according to the cofounders of Acorn.

Currently, among the most common ways to deploy an application in Kubernetes is to use of a Helm chart. Shepherd said that while Helm provides a generic way of packaging, Acorn can have a higher degree of specificity that is optimized for application deployment. Acorn also has a service discovery model built-in, which understands what resources are available in a given Kubernetes cluster.

Shepherd explained that Acorn works as an abstraction layer above the core concepts that Kubernetes supports. For example, among the primary concepts in Kubernetes are the ideas of service and ingress, which are methods of exposing networking services. Acorn doesnt require users to understand or configure those concepts, instead it elevates to the higher level concept of simply exposing a networking port to an application.

Acorns cofounders also see the technology as being a rival to Kubernetes Operators. The concept of a Kubernetes Operator was pioneered by CoreOS in 2016 and integrated into Red Hat OpenShift, when CoreOS was acquired by Red Hat in 2018 for $250 million. The promise of an Operator is to go beyond just deployment with a Helm chart and help organizations to configure an application to scale and run in production.

We actually see that Acorn can replace the need for operators because we built Acorn to be sufficient enough to run like the most complicated stateful applications, Shepherd said. There are also capabilities in Acorn to deal with day-to-day operations and backups.

Its still early for the Acorn project, though according to cofounder and CEO Sheng Liang, his team is already talking to customers about the technology every day.

Clearly, this stuff solves a problem, but the open-source Acorn project is really just the start, Liang told VentureBeat. We need to build a bunch of enterprise capabilities around Acorn, and that will take some time.

Williams noted that with the experience of building cloud.com and Rancher, the cofounders of Acorn have seen time and again that open-source adoption leads to business.

Weve seen it over and over again, that as people use the technology, we uncover really interesting business opportunities to build companies and to build revenue, Williams said.

Originally posted here:
Open-source Acorn takes a new approach to deploy cloud-native apps on Kubernetes - VentureBeat

Best Programming Language to Learn in 2022 – Server Watch

Whether youre an experienced developer or just starting out, adding a new programming language to your list of skills can be a powerful way to stand out in a competitive job market. Being eager and willing to learn is important, but knowing which programming language to choose can feel overwhelming and confusing.

Keep reading to gain a better understanding of the most popular programming languages, their average annual salaries, and a brief overview of their strengths.

When evaluating programming languages, its important to understand that each language has its own features, frameworks, and style. Because classifying programming languages can be somewhat subjective, think of each type as a philosophy instead of a strict definition.

Procedural programming languages work through code in a logical and structured order using procedures, modules, and procedure calls. Though some scenarios are best handled by the top-down simplicity of procedural programming, importance is placed on operation over data, which makes it difficult to relate with real-world solutions.

Object-oriented programming is built using objects that contain data, attributes, properties, and methods. By employing four fundamental conceptsinheritance, encapsulation, polymorphism, and data abstractionobject-oriented programming languages increase code reuse, provide data security, and make it easier to maintain existing applications.

Functional programming focuses on the evaluation of expressions, placing priority on results instead of processes. Unit testing and debugging make functional programming good for increasing developer productivity, but the learning curve isnt easy for beginners and the code can be hard to maintain.

Scripting programming languages deliver instructions that are interpreted individually, at run time, instead of being compiled ahead of time. The specific features and functionality will depend on the run time environment being used, but the strengths remain the same: ease of learning, rapid development, and quick debugging.

Logic programming languages contain familiar-looking, easy-to-read, statements detailing what needs to be accomplished. By taking away the need to understand how tasks are accomplished, developers can focus on the knowledge and rules that will lead to the end results.

Looking for a faster solution? Read Why Low-Code/No-Code Is Revolutionizing App Development

The most popular programming languages include Python, Java, SQL, JavaScript, HTML, CSS, C#, Swift, C++, PHP.

Described as a general-purpose language, Python can read and write files and directories, create GUIs and APIs, power web development frameworks, and more. With simple syntax and a large developer community to lean on, Python is considered one of the easiest programming languages to learn.

Get started with the Premium Python Programming Certification Bundle from TechRepublic Academy.

Java is a powerful programming language with platform independence and version resiliencecode that was written in Java decades ago is likely to run without issue today. Whether being used for web applications, Android apps, desktop software, or scientific applications, Java is one of the most diverse programming languages in use today.

Get started with the Complete Java Coder Bundle from TechRepublic Academy.

SQL is the ideal companion programming language for all others, and arguably the most important in this data-driven world. Short for Structured Query Language, SQL provides the means to create, populate, and manage databases.

Get started with the Ultimate SQL Bootcamp from TechRepublic Academy.

Thought by many to be the most popular programming language in the world, JavaScript helps to deliver dynamic and interactive web content. This is one language that grows in sophistication and complexity in direct proportion to the skill of the developer using it.

Get started with the Comprehensive JavaScript Bundle from TechRepublic Academy.

HTML is the most basic programming language, used in web design to deliver browser content. Basic programming tasks are easy to execute with HTML, but skilled programmers know how to use this language to create accessible, attractive, and cross-browser/cross-platform compatible content.

Get started with the Complete Web Developer Coding Bundle from TechRepublic Academy.

CSS is the fresh coat of paint and new window dressing of the programming world, but it is quickly becoming among the most important languages. Designed to make front-end layouts beautiful and functional, CSS contributes to the usability and accessibility of web-based applications.

Get started with the HTML & CSS: Learn to Build Sleek Websites from TechRepublic Academy.

C# (pronounced C Sharp) is part of Microsofts .NET platform. Commonly used when developing desktop applications, C# is also known for being the language behind the Unity game engine.

Get started with the Complete C# Master Class Course from TechRepublic Academy.

Though some developers choose to use Objective-C, Swift is the programming language recommended for those looking to create applications for iOS, iPadOS, macOS, tvOS, and watchOS. Apple created Swift as a safe, fast, and fun means to create clean and consistent code.

Get started with the SwiftUI: The Complete Developer Course from TechRepublic Academy.

C++ is one of the most powerful, versatile, and sophisticated object-oriented programming languages. The strength of C++ is seen when powering processor- and graphics-heavy software like the Unreal Engine and gaming consoles, including Xbox, PlayStation, and Nintendo Switch.

Get started with the C++ Programming Bundle: Beginner to Expert from TechRepublic Academy.

PHP is one of the most widely utilized general-purpose scripting languages available. PHP is platform independent, supports all of the major web servers, and has a tremendous library of open-source software available to build on. These include content management systems (CMS) and eCommerce platforms.

Get started with the Ultimate PHP Training Bundle from TechRepublic Academy.

Though they may not be the most popular, there are a few programming languages that are still used by many programmers:

Used by scientists and engineers, MATLAB is a proprietary programming language developed by MathWorks that is designed to analyze data and create algorithms. Though MATLAB is used most often by universities, it has been gaining traction in the image processing industry.

Get started with the Complete MATLAB Programming Certification Bundle from TechRepublic Academy.

R excels at manipulating and graphing statistical data and is beloved by researchers.

Get started with the Complete R Programming Certification Bundle from TechRepublic Academy.

Ruby is a popular open-source programming language used most often in web development, data analysis, and prototyping. It is often regarded as a popular programming language for beginners.

Get started with the Complete Ruby on Rails & Ruby Programming Bundle from TechRepublic Academy.

Deciding which programming language to learn can feel overwhelming and confusing. The following criteria may help determine which programming language is the best to learn or use for a specific project.

Still not sure where to start? Check out the Complete Learn to Code Bundle from TechRepublic Academy.

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Best Programming Language to Learn in 2022 - Server Watch

The Guide to Kubernetes Consulting and How To Get Started – Programming Insider

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Kubernetes is a container management system that has been gaining popularity in the last few years. The number of companies using it has increased exponentially. It is now the most popular open-source project on GitHub and has been used by big companies like Google, Microsoft, and Amazon.

The Guide to Kubernetes Consulting and How To Get Started provides insights on how to get started with consulting for Kubernetes. It also provides an overview of what a consultant should do when they start their consulting business.

Kubernetes is a container orchestration system that is designed to automate deployment, scaling, and management of containerized applications. It has evolved into a dominant platform for managing containers across multiple cloud providers.

Kubernetes provides an easy way to manage and deploy applications by creating and managing the cluster of nodes that run the application. Kubernetes also manages the process of scaling up or down the number of nodes in order to meet demand. Kubernetes is a popular tool for deploying microservices-based applications because it offers many features that make it easier to deploy, scale, and manage these applications.

The Kubernetes consulting services are in demand these days. There are many companies that provide the services to the market. There is no perfect way to identify the best Kubernetes Consulting Company in the market. But there are some factors that one can consider when looking for a good one:

Kubernetes is a container-based platform that provides a runtime environment for applications. It is one of the most popular open source platforms and it has been adopted by enterprises across the world.

It is not easy to find the right Kubernetes consultant as there are many companies that provide this service. This article will help you find out which are the best consulting companies in the world, and their top consultants. The 5 Best Methods of Getting Help From Kubernetes Consultants:

Kubernetes is now one of the most popular platforms for managing containerized applications, scaling and management of containerized applications and it was originally developed by Google in 2014.

Kubernetes has made it possible for companies to deploy containers on a large scale without incurring any downtime. This has led to the rise of Kubernetes consulting agencies that provide support services to companies that need help with their Kubernetes environment.

A big part of what a Kubernetes consulting agency does is provide recommendations about how best to use Kubernetes in order to optimize various aspects such as cost, time and performance. This can be done through different methods such as consulting on best practices, conducting workshops or providing strategic guidance on what to do and in what order. An ITOutposts https://itoutposts.com/ Kubernetes consulting agency can also provide expertise around other technologies like DevOps, containerization, cloud computing or automation.

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The Guide to Kubernetes Consulting and How To Get Started - Programming Insider