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Open-Source DevOps AI Agent: Effortless Migration from Heroku to AWS

Migrating applications from a Platform as a Service (PaaS) to a cloud platform is often a complex, time-consuming, and expensive process. Companies using PaaS platforms like Heroku, Render, Fly.io, Railway, Vercel, Netlify, and many others frequently delay this migration despite needing enhanced security, compliance, technical capabilities, and greater control over their infrastructure.

The Shift from SRE to Platform Engineering: Why It's the Future of Scalability and Innovation

As technology evolves, so do the roles and strategies that drive software development and infrastructure management. One of the most significant shifts we’ve seen in recent years is the move from Site Reliability Engineering (SRE) to platform engineering. This change is reshaping how companies operate, from scaling their infrastructure to improving the developer experience.

The Future of SLOs in DevOps: Navigating Common Pitfalls in SLO Management

As the technology landscape continues to evolve, so do the methods by which organizations ensure optimal service delivery. Service Level Objectives (SLOs) have emerged as one of the most critical metrics in DevOps and Site Reliability Engineering (SRE), acting as a bridge between reliability and performance. SLOs reflect the target reliability of a service from the perspective of the user, providing measurable standards to maintain quality.

I Have SD-WAN, Do I Just Need SSE Security for the Branch?

As businesses increasingly adopt Software-Defined Wide Area Network (SD-WAN) solutions to enhance connectivity and performance across their branch offices, a common question arises: “Do I just need Security Service Edge (SSE) security for the branch?” The answer is a resounding “no”. While SSE provides essential security features, it is not sufficient on its own.

How IDPs "nudge" developer behavior

I was recently cruising LinkedIn and saw Abi Noda from GetDX reference a paper Meta wrote in 2022 on improving code review time. Meta’s focus on this metric was sparked by a developer survey, but what they did as a result is even more interesting (at least to me!). Meta developed a “NudgeBot” to alert reviewers to take action on stale diffs. And it worked; both time to review and time in review went down.