For the last few years, cloud-native technologies like microservices, serverless, and Kubernetes have been increasingly dominant in the technology stack of modern engineering teams. Why? First of all, they work seamlessly with modern cloud environments, they're scalable, resilient, and enable continuous delivery of software in an agile fashion. But all these benefits don't come without drawbacks ...
Today's distributed workforce, vastly increased due to the global pandemic, is bringing more challenges for software development teams. With extensive remote collaboration, an effective code review process is more important than ever for ensuring long-term quality of the code base — both from a software defect perspective and for readability ...
Debt. No matter how you slice it, debt is rarely a good thing. In the world of software development, security debt — the accumulation of unresolved flaws in code over time — poses an unrelenting challenge. As organizations increasingly move toward a DevSecOps model in which application security practices are introduced early and applied continuously throughout the SDLC, they are well positioned to decrease their security debt ...
The software developer of the future is going to look much different than what we've become accustomed to, as rapidly-evolving educational modalities and new technologies that increase the velocity of shipping code are becoming available to anyone and everyone. We are at an inflection point where technology, society, and culture are removing the barriers to entry that used to constrain developers. The result is a more diverse, creative, and high-output workforce. Here are four trends that I predict will continue to shift the day-to-day life of the software developer in 2021 and beyond ...
The COVID-19 pandemic has been a disruptive event for development teams and companies alike, unsurprisingly, according to a recent survey of developers across the world by JRebel by Perforce ...
Edge applications are here ... edge platforms and apps no longer present a chicken and egg problem, but platform and app manageability (and just about everything else) is still a challenge. We won't see mainstream adoption until a proper enterprise management platform exists which addresses these concerns. Here I'll lay out some challenges and potential designs and solutions in more detail ...
The adoption of Cloud Native Architecture and use of microservices is starting to take off and Kubernetes is at the forefront of the technologies enabling this trend. However, while Kubernetes provides you with many features that make deploying and running microservices easy, there are few additional services that need to be enabled in order for developers/devops to be productive and make applications maintainable. Logging is one such vital service ...
For the past couple years, organizations have rapidly adopted Kubernetes for container orchestration. The technology's upshot is clear: Kubernetes makes it much easier to manage or deploy containerized workloads in both on-premises and public cloud settings. But even though Kubernetes has become a red-hot trend among tech media and influencers, few organizations are actually deploying Kubernetes in production and at scale ...
COVID-19 has forced almost every industry to rethink their everyday business strategies. As IT teams and core personnel continue working remotely for the foreseeable future, critical industries accustomed to in-person interactions like financial services will need to implement the necessary tools and services to ensure sensitive data remains safe, and in compliance with strict privacy laws. Unlike some sectors, however, the financial services sector is getting it right, stepping up to ensure their database management never falls behind ...
Artificial intelligence (AI) has revolutionized almost every industry and few areas of life remain untouched by the technology. It has begun to shape the software development process and software developers can now use AI to write and review code, test software and detect bugs. Let's take a dive into just a few of the many areas of software development that have all been impacted by AI, such as DevOps, tooling and algorithms ...
Organizations are scooping up application scanning tools to implement their application security program, but they often fall short of their expectations of such a program. Because each tool produces large and different data sets, development teams are often buried under mountains of findings without a clear path towards action. This ineffective process is problematic in many ways ...
One of the main challenges for IT operations and DevOps teams is how to build a QA and testing schedule for software and code that changes every day. And how do you put things into production without breaking current customer requirements? While DevOps has all the tools it needs to develop, test, ship and containerize software, a lack of governance and orchestration can make it difficult to address these challenges ...
The practice of "shift-left testing" has gained a foothold among DevOps teams that seek to leverage the benefits of early-stage software testing. Why is it that the same concept of continuous testing post-production and post-deployment, a strategy of "shift right testing," hasn't received the same recognition from DevOps community? ...
One way you can increase efficiency and ensure that processes are running smoothly is with the implementation of value stream management (VSM). Adopting this approach can make a significant impact at every level of a business, improving collaboration and visibility for the benefit of all ...
In the scramble to keep operating as country after country went into lockdown, one thing was apparent — those organizations that had invested in their technology, that were further along on their digital transformation journey, were the ones that coped best with the disruption of the pandemic ...
