The cloud migration in the first half of 2020 was swift and a huge learning curve for many. In fact, as identified in Aptum's global survey, while nearly all IT professionals (99%) believe that cloud services are essential to their organization's success, performance concerns remain an obstacle to realizing these benefits ...
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A new study from D2iQ reinforced the importance of Kubernetes, with 77% of organizations claiming that the container automation system is a central part of their digital transformation strategy. However, the same study found that while projects in production on Kubernetes are expected to rise 61% in the next two years, almost all organizations that use cloud native technologies have run into challenges, most commonly during the development phase ...
For "as a Service" to be market-ready, security and compliance must be part of the dev process from the beginning. For this to succeed, it's necessary for teams to take on a DevOps mindset — one that places a priority on fast delivery and automated workflows ...
Let's go back to the fundamentals. That's actually a high hill to climb in the world of cloud computing: The field virtually mandates a nonstop flow of new tools and capabilities. Each advance surely adds to the already-long list of benefits to be accrued by moving to the cloud, but many also create serious risks. This fundamental incongruity can undermine the entire potential of this vital discipline. The latest Accurics research report, The State of DevSecOps, vividly highlights this ongoing issue ...
For the first time in history, in a matter of years, an entire ecosystem of cloud-based services appeared to store, process and analyze operational, business intelligence and other data. True to the diverse nature of data repositories, this ecosystem spans databases, data warehouses, and data pipelines. The best part? It works. It may seem like the Data Cloud has appeared out of nowhere, but in reality, it's been a part of several large trends that the industry is going through ...
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 ...
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 ...