DevOps is one of those overarching terms that encompasses a number of technologies and techniques. Some consider continuous integration and delivery as the cornerstone of DevOps. Others say you can’t keep pace with Agile development and deployment without automated processes that kick off tests, builds and performance alerts.
On the development side, some organizations are taking test-driven and behavior-driven approaches. They’re shifting testing to the left, to find defects more quickly so that better quality code is delivered.
DevOps, though, it not a one-size-fits-all solution. Organizations need to evaluate their processes, see where benefits could be derived, and implement those methods and technologies that deliver real value to the business.
Despite a decade of DevOps fervor, most engineering organizations remain hindered by manual processes, silos, and dependency bottlenecks. Teams cannot truly own their delivery stack and still depend on centralized support for deployment, provisioning, and security. The missing piece in achieving real, sustainable DevOps autonomy is platform engineering. Internal Developer Platforms (IDPs) serve as the … continue reading
We’ve come a long way since Google’s Site Reliability Engineering book reframed uptime as an engineering discipline nearly a decade ago. Observability and automation have made building and running complex software systems saner and more reliable. What they haven’t done, though, is change the fundamentally reactive nature of troubleshooting production systems. AI agents may change that equation. … continue reading
Generative AI is transforming software development at an unprecedented pace. From code generation to test automation, the promise of faster delivery and reduced costs has captivated organizations. However, this rapid integration introduces new complexities. Reports increasingly show that while task-level productivity may improve, systemic performance often suffers. This article synthesizes perspectives from cognitive science, software … continue reading
Many infrastructure technology teams believe they have mastered infrastructure automation, but the data tells a different story. We commissioned a survey to explore the state of infrastructure automation, and this research uncovered a stark gap between perception and reality. While 45% of organizations believe they have achieved a high level of infrastructure automation, only 14% … continue reading
While it’s often said that “time is money” when it comes to business, that phrase is now applicable to software development. Staying competitive in today’s world means staying current. Whether large or small, organizations need the ability to respond quickly to changing marketing conditions, business needs, security requirements, and more. And they can’t do that … continue reading
The number of security challenges companies are facing continue to grow, but organizations are beginning to display signs of “AppSec exhaustion,” or decreased engagement in security practices. This is according to Snyk’s new State of Open Source report, which found that dependency tracking and code ship frequency has remained largely unchanged since last year. There … continue reading
Platform engineering has been gaining quite a lot of traction lately — and for good reason. The benefits to development teams are many, and it could be argued that platform engineering is a natural evolution of DevOps, so it’s not a huge cultural change to adapt to. According to Jonathan Harding, Senior Product Manager of … continue reading
At its annual user conference, swampUp, the DevOps company JFrog announced new solutions and integrations with companies like GitHub and NVIDIA to enable developers to improve their DevSecOps capabilities and bring LLMs to production quickly and safely. JFrog Runtime is a new security solution that enables developers to discover vulnerabilities in runtime environments. It monitors … continue reading
Good teamwork is key to any successful AI project but combining data scientists and software engineers into an effective force is no easy task. According to Gartner, 30 percent of AI projects will be abandoned by the end of 2025 thanks to factors such as poor data quality, escalating costs and a lack of business … continue reading
Until about two years ago, many enterprises were experimenting with isolated proofs of concept or managing limited AI projects, with results that often had little impact on the company’s overall financial or operational performance. Few companies were making big bets on AI, and even fewer executive leaders lost their jobs when AI initiatives didn’t pan … continue reading
Are your developers on PagerDuty? That’s the core question, and for most teams the answer is emphatically “yes.” This is a huge change from a few years ago when, unless you did not have DevOps or SRE teams, the answer was a resounding “no.” So, what’s changed? A long-term trend is happening across large and … continue reading
GitLab has announced the latest version of its platform. GitLab 17 introduces new features such as GitLab Duo Enterprise, a new CI/CD catalog, and Native Secrets Manager. GitLab Duo Enterprise is a new AI add-on that builds on the capabilities of GitLab Duo Pro. It can be used to detect and fix security issues, summarize … continue reading
