While I am all for traditions like Thanksgiving turkey and Sunday afternoon football, holding onto traditions in your professional life can be career limiting. The awesome thing about careers in technology is that you constantly have to be on your front foot. Because when you’re not, someone, somewhere, will be and when you meet them, they’ll win. One tradition that has a limited lifespan at this moment is waterfall-native development and the security practices that go along with them. While the beginning of the end might have first been witnessed when Gene Kim and Josh Corman presented Security is Dead at RSA in 2012, we have more quantifiable evidence from the 2017 DevSecOps Community Survey. When asked about the maturity of DevOps practices in their organizations, 40% stated that maturity was improving, while 25% said that it was very mature across the organization or in specific pockets.

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Automation, a key pillar of the DevOps movement, frees IT operations to focus on higher-levl work and collaborate with cross-functional teams. But what if your automation is so good that developers don’t need you anymore? Mike Gualtieri of Forrester Research coined the term NoOps in his controversial blog post “I don’t want DevOps. I want NoOps.” In the post, Gualtieri says, “NoOps means that application developers will never have to speak with an operations professional again.”

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The visual model to declarative metadata representation to immutable deployment vision is in essence what SD is all about.
The secret to making this approach practical, and thus the key to understanding why SD approaches have become so prevalent, is the word immutable.

Once we get an SD approach right, we no longer have to touch the deployed technology whatsoever. Instead, to make a change, update the model and redeploy.

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The purpose of event management and monitoring is to make sense of events, and while this may require some analytics and intelligence, the goal is an actionable alert — a meaningful notification that enables the right person to take the right control action. So, we may leverage predictive analytics as a form of artificial intelligence to achieve this goal, and we might even need to perform further analytics in order to get the information required to make a good decision.

This right-to-left flow provides us with the knowledge and wisdom to make effective decisions, which is the basis for effective automation.

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In DevOps, those who can’t keep pace are often left behind. For many people leading DevOps initiatives over the past few years, this led to a painful choice of leaving security by the wayside. Many Waterfall-native approaches to security could not keep pace with their new DevOps-native requirements and they were shunned. Gene Kim and Josh Corman first sounded the death knell for security as we knew it during their 2012 RSA presentation, Security Is Dead. Long Live DevOps: IT at Ludicrous Speed. However, as with so many things in our world, necessity is the mother of invention. Leaving security out of the DevOps toolchain was not an option for some and unimaginable for others.
Fast forward four years and things have changed dramatically. We are on the cusp of a new era of security that lives at ludicrous speed. Software-defined security is crossing the chasm into the mainstream.

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Poorly managed development projects are bound to crash eventually. It’s likely happened to you a dozen of times already. While writing code can be a lot of fun, managing code and dependencies can quickly become a maze of its own when you’re dealing with the continuous growth of your codebase and feature branches. At Stackify, we aim to make the lives of developers easier (and less frazzling). One way to de-stress your work is with the aid of continuous integration tools.

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We talked a bit about the Software Development Life Cycle (SDLC) in a recent post, but today, we’re going to dig a little deeper into one specific and crucial element in the testing phase, particularly for Agile development: regression testing. Regression testing refers to the process of testing a changed or updated computer program to make sure the older software features – which were previously developed and tested – still performs exactly as they did before. One way to think about software regression is to think about somebody who implements a new air conditioning system in their home only to find that while their new air conditioning system works as expected, the lights no longer work.

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In his keynote at 19th Cloud Expo, Sheng Liang, co-founder and CEO of Rancher Labs, discussed the technological advances and new business opportunities created by the rapid adoption of containers. With the success of Amazon Web Services (AWS) and various open source technologies used to build private clouds, cloud computing has become an essential component of IT strategy. However, users continue to face challenges in implementing clouds, as older technologies evolve and newer ones like Docker containers gain prominence. He explored these challenges and how to address them, while considering how containers will influence the direction of cloud computing.

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Whether you are an owner of a thriving small business or a decision maker at an established enterprise, you cannot ignore digital technology. Businesses worldwide are going digital to deliver compelling experiences to customers, which is becoming a key differentiating factor. The rise of social and mobile have increased the discoverability of businesses. Consumers are

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When it comes to wide area networking, large global enterprises have some unique challenges to ensure that networking capabilities keep up with their complex business requirements.
The most obvious challenge is the sheer scale of WAN operations. A very large enterprise could have hundreds, thousands, or even tens of thousands of locations around the world—and this makes the cost multipliers huge. Changing the cost equation for branch access can mean a difference in saving versus spending millions of dollars per month.

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