Site reliability engineering (SRE) has become an emergent niche practice invented at Google to become a foundation of contemporary enterprise performance worldwide. With the continued growth of microservices, a multi-cloud infrastructure and continuous deployment pipelines adopted by organizations, the operational surface area has increased to the extent that human personnel cannot monitor and manage it in real time. The effectiveness […]
Observe Adds Two AI Agents to Improve Observability
Observe Inc. introduces the AI SRE Agent and o11y.ai Agent to its observability platform—empowering DevOps teams to automate incident triage, generate OpenTelemetry code, and query application performance using natural language for faster, smarter debugging.
How AIOps is Revolutionizing DevOps Monitoring in the Cloud Era
As cloud-native systems grow more complex, traditional monitoring falls short. AIOps brings AI, automation, and predictive insights to DevOps—enabling real-time detection, diagnosis, and resolution across distributed environments for faster, smarter operations.
Is There Still a Difference Between DevOps and AIOps?
DevOps transformed software delivery through speed and collaboration. AIOps takes it further—adding AI-driven insight, anomaly detection, and intelligent automation. Together, they form the next evolution of IT operations: smart, adaptive, and self-healing pipelines.
Context Engineering: The Next Frontier in AI-Driven DevOps
Imagine a world where your on-call alerts are not just a cryptic message, but a rich, contextualized story of what’s happening, why it’s happening, and how to fix it. This is the promise of context engineering, a concept poised to redefine the role of artificial intelligence in DevOps. While AI has long been touted as […]
Grafana Labs Extends AI Capabilities of Observability Platform
Grafana Labs this week made generally available an artificial intelligence (AI) agent, dubbed Grafana Assistant, for its namesake dashboard in addition to previewing Grafana Assistant Investigations, an AI incident management tool that analyzes the observability stack, generates findings and hypotheses, and surfaces actionable recommendations for mitigation and remediation. Announced at its ObservabilityCON 2025 conference, Grafana […]
Whose Ops is it Anyway? How IDPs, AI and Security are Evolving Developer Culture
It was only a few years ago that perhaps the biggest hurdle for DevOps advocates was convincing leadership that it was worth the investment. That conversation has since shifted. In most organisations today, the value of faster releases, tighter feedback loops, and closer collaboration between development and operations is obvious. The challenge is no longer […]
Accelerating Business Growth Using AIOps and DevOps
Adopting AIOps helps DevOps through automation, predictive intelligence and better data-driven decisions. This collaboration fosters efficient processes, improved quality and continuous improvement to meet the ever-changing demands of the industry and customer requirements.
Survey Sees AI Being Applied to Improve Software Quality Testing
A global survey of 1,775 IT and business executives published today finds 71% are working for organizations that have integrated some form of artificial intelligence and generative AI capability into their operation, with just over a third (34%) specifically using AI to improve quality assurance. Conducted by Sogeti, a unit of Capgemini in collaboration with […]
Building Toward Unified Observability
Observability, AI and automation can help organizations achieve proactive IT management and eschew traditional monitoring. Here’s what’s involved.
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