Leaders have shown that it is possible to deliver at the speed of innovation without sacrificing control, success and a blueprint to follow.
Navigating the AI-Powered Era: Why Modern Deployment Platforms Must Evolve Beyond Jenkins & ArgoCD
To thrive in the AI era, development teams need more than just automation; they need intelligent, integrated deployment platforms that abstract unnecessary complexities from the underlying infrastructure while automating essential operations.
Intelligent Apps & Developer Platforms: The Complete Guide
Intelligent applications transform how we interact with technology, beyond traditional software to create intuitive and efficient systems.
Managing AI APIs: Best Practices for Secure and Scalable AI API Consumption
By adopting a structured AI API management strategy, organizations can harness AI’s full potential while maintaining security, compliance and efficiency.
7 Critical API Protection Strategies to Fortify Your API Security
Against a backdrop of escalating threats and costly consequences, organizations need a comprehensive, multilayered approach to API security.
Best of 2024: Three DevOps Trends to Watch in 2024
As the year rolls on, here are a few key DevOps trends to watch for in 2024
5 Key Policies to Strengthen Runtime API Governance
These policies are essential to ensure optimal API performance, security and alignment with evolving business and technical demands.
Observability in 2030: A Practitioner’s Wishlist
Observability in 2030 will require integrated telemetry across layers, events for context, and decoupling telemetry collection from analysis, ensuring seamless multi-signal observability.
Developer Experience Has Always Been a Profit Story
The true business value of providing a best-in-class developer experience is not being articulated enough, and that is — improved developer experience is a profit driver, not a cost center.
Goodbye, Git-Centricity: Getting to Green in an AI-Powered World
For decades in the software industry, we have focused on testing our applications under the reassuring streetlight of GitOps. It made sense in theory: Wait for changes to the codebase made by engineers, then trigger a re-test of your code. If your tests pass, you are good to go.
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