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 ...
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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 ...
Over time, applications have evolved from simple lines of code to a universe full of interconnected machines and systems powering continuous integration and continuous delivery. Software-defined data centers where "infrastructure as code" models are being used to deploy virtualized systems hosted on-premises as well as in cloud IaaS service environments have created challenges for DevOps and security teams ...
Before the pandemic, Gartner predicted that by 2024, low-code development would be responsible for more than 65% of application development. With workers distributed and organizations now reliant on digital, this trend looks set to accelerate ...
As businesses worldwide rely heavily on digital tools and reimagine modern commerce amidst a global pandemic, APIs have become the unsung hero of the digital transformation. Regardless of what tools a business chooses, APIs have enabled millions to transition from work to home, provided connections that let disrupted supply chains be rapidly recreated into new partner ecosystems, and as the backbone of online commerce, are the reason businesses sustained customer engagement through this unprecedented time in history ...
Web application developers often rely on open source libraries and third-party scripts in order to innovate faster and keep pace with evolving business needs. Often added without approvals or security validation, these scripts and libraries — collectively referred to as "Shadow Code" — introduce hidden risks into the organization and make it challenging to ensure data privacy and to comply with regulations ...
Even as the software testing industry evolves, there exists a situation what I'd call "scattered islands," in terms of differing levels of maturity and capability across the entire testing landscape. Many enterprises are deploying testing practices that require intensive time and effort, while also facing increased pressure to do more and work faster. Automation is impacting all the phases of software testing, from test planning to defect analysis and repair. And the industry has just scratched the surface ...