Operations | Monitoring | ITSM | DevOps | Cloud

Elastic 9.3: Chat with your data, build custom AI agents, automate everything

Today, we are pleased to announce the general availability of Elastic 9.3 as the latest version of the Elasticsearch Platform — the world’s most popular open source platform for transforming both structured and unstructured data into trusted answers and outcomes. In addition to including new features that help developers with context engineering and agent building, Elastic 9.3 introduces a broad set of new capabilities to Elastic Search & AI, Elastic Observability, and Elastic Security.

Protect agentic AI applications with Datadog AI Guard

Organizations are increasingly using agentic AI applications powered by large language models (LLMs) to automate analysis, decision-making, and operational workflows. As these AI agents take on more responsibility, they gain access to internal tools and services and can interact with them in unintended ways.

Tool Consolidation Is Dead. Long Live Agentic AI.

It’s 2026, and developers have more tools at their disposal than at any point in the industry’s history: CI/CD platforms are richer; observability stacks are deeper; security, data, and AI tooling have exploded into crowded, competitive ecosystems. And yet, delivery is still slow, incidents are still noisy, workflows are still brittle. The problem is no longer tool scarcity or feature depth. It’s integration debt.

8 themes shaping engineering in the age of AI

We know that AI has been transformational for engineering and it will continue to be, so stop me if this sounds familiar. Imagine an engineering lead opening a pull request for a critical security patch and finding five hundred lines of AI-generated code. While the solution is (mostly) usable, it follows a pattern no one on the team recognizes. This shift away from manually writing every line of logic has introduced a unique level of complexity for teams.

You Need an Advisor. Not an AI Assistant.

Complex environments don’t fail because teams lack data. They fail when teams can’t trust what the data is telling them. There are too many signals, too little time, and too much risk riding on every decision. That’s the reality Skylar Advisor is built for: delivering guidance teams can verify, so they can act faster without gambling on opaque, black-box answers.

Are We Letting AI Think for Us? | SolarWinds TechPod #105

We’re more dependent on technology than ever—and AI is changing how we make decisions. But what happens when the systems fail? Or when bad actors decide to “pull the plug”? This clip dives into a scary but necessary question: Are we losing our ability to critically think and problem-solve by relying too much on AI? Is AI leveling the playing field—or quietly taking over human decision-making? A must-watch conversation about innovation, outages, AI risk, and why having a backup plan matters more than ever.

Komodor AI SRE vs. OSS AI Agent: A Technical Comparison of Agentic AI for Kubernetes Troubleshooting

Gartner predicts that AI agents will be implemented in 60% of all IT operations tools by 2028, up from fewer than 5% at the end of 2024. This acceleration has sparked an explosion of AI SRE solutions, from enterprise platforms to open-source alternatives, all promising faster root cause analysis and reduced MTTR.

How to Build AIPowered Search with Elasticsearch [2 Min Live Demo]

In this demo, we show how Elasticsearch enables production‑ready GenAI and AI‑powered search applications—from indexing and embedding your data to grounding large language models with RAG. You’ll see how developers can go from raw data to a fully functional GenAI search experience—fast Additional Resources.