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.
Ghosts in the Machine: How AI Agents Will Take Over DevOps
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.
Breaking Free From the Dead Zone: Automating DevOps Shifts for Scalable Success
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 […]
Learning From SpaceX: How the Space Industry’s Transformation can Inspire DevOps in Software Development
In recent years, the space industry, much like software development, has experienced rapid transformation. SpaceX has revolutionized space launches with its use of reusable rockets and innovative suppliers.
6 Essential Components of a Successful Security ‘Rewards Program’ for Software Developers
The software development industry could use a rewards program especially when it comes to ensuring a ‘security first’ mindset among developers.
Finding the Right AI Coding Assistant for Your Team
A recent survey by StackOverflow showed that 76% of professional developers are already using or planning to use artificial intelligence (AI) tools for development this year. If you haven’t yet evaluated and chosen an AI coding assistant for your team, you may quickly find yourself in the minority.
Mitigating Risk in a World of AI-Generated Code
Tools and processes to stress test the code and reduce risk with software deployments are critical for achieving success in AI coding.
A Deep-Dive Into CodeOps or DevOps for Code
Organizations that focus on innovation have started adopting CodeOps to enhance their digital product engineering processes.
