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Modern software delivery is complex. Developers are responsible not only for writing code that meets business requirements — both functional and non-functional — but also for navigating a long chain of supporting steps. From containerization, testing, configuration, security, deployment, and monitoring, each stage ofte
How the internal developer platform changes the relationship between infrastructure and product teams, and what it means for autonomy, cognitive load, and delivery speed. Platform engineering is often introduced as simply “DevOps with a dedicated team,” as if the only real change was adding a new box to the org chart.
For the last fifteen years, DevOps did what it was supposed to do. It broke down the wall between development and operations, it made continuous delivery a normal expectation, it made shared ownership of production a cultural default, and it moved software delivery from a scheduled event to a continuous flow. The resul
When an alarm fires at 2 AM, the first thing most engineers do is grep logs, check recent deployments, and trace code paths. However, the context they need — metrics, traces, topology, configurations — lives in a separate browser tabs and applications. What if your IDE could bring that cloud intelligence directly to yo
Platform Engineering 1.0 delivered real value. Golden paths accelerated deployment. Internal Developer Platforms (IDPs) reduced cognitive load for developers. Self-service infrastructure gave developers back hours they had been spending filing tickets. Pipelines provided a standard vehicle to...
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Headquarters: Option to Work Remote in United Kingdom URL: http://agilent.com Job Description Agilent’s CrossLab Connect team is seeking an expert-level DevOps Software Engineer to design, build, and optimize CI/CD pipelines, cloud infrastructure, and deployment automation across a hybrid cloud and on-premise ecosystem
Agentic engineering gets really interesting when it moves beyond dashboards and alerts and starts taking action. One of the clearest places to apply it is incident response. Instead of waking someone up at 2:00 a.m. just to answer basic questions, I can build a system that understands what broke, who owns it, what chan
Site reliability engineering has been quietly buckling under its own success. The scope of what SRE teams are expected to own — observability, incident response, telemetry pipelines, capacity, cost, resilience — keeps growing while the tools underneath fragment further. AI is showing up as both the reason the workload
Most infrastructure problems that teams blame on tooling are actually repository problems. The structure of your infrastructure repo determines how quickly engineers can find what they need, how safely a change in staging can be promoted to production, and whether your GitOps controller degrades under load six months f
Headquarters: LATAM URL: http://assuresoft.com The key to our success is simple; we deliver the highest quality, on time, with passion and commitment, and live every day by a set of great values. We've built a company that fosters long-term careers in an environment of continuous learning, with cutting-edge benefits, t
This post was co-written with Bharadwaj Tanikella (AI/ML Product Engineering Leader) and Mohammad Jama (Product Marketing Manager) from Datadog. In December 2025, we showed how AWS DevOps Agent and Datadog MCP Server could work together to autonomously correlate monitoring data with the infrastructure deployed and conf
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