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 applications transform how we interact with technology, beyond traditional software to create intuitive and efficient systems ...

By adopting a structured AI API management strategy, organizations can harness AI’s full potential while maintaining security, compliance and efficiency ...

Against a backdrop of escalating threats and costly consequences, organizations need a comprehensive, multilayered approach to API security ...

As the year rolls on, here are a few key DevOps trends to watch for in 2024 ...

These policies are essential to ensure optimal API performance, security and alignment with evolving business and technical demands ...

Observability in 2030 will require integrated telemetry across layers, events for context, and decoupling telemetry collection from analysis, ensuring seamless multi-signal observability ...

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 ...

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 ...

AI agents can transform DevOps practices, leading to more robust, efficient and cost-effective operations while freeing human engineers to focus on higher-level strategic tasks and innovation ...

When building software, especially SaaS, sticking to manual processes in DevOps is like bringing a knife to a gunfight. Manual processes not only slow down operations but also open the door to ...

As the year rolls on, here are a few key DevOps trends to watch for in 2024 ...