Operations | Monitoring | ITSM | DevOps | Cloud

AI SRE Agent with Temporal, ClickHouse, and Codex: AURA in a Gated Run

Aug 25, 2026 By Mezmo In Mezmo
1,133 requests failed on one bad commit. The patch and the regression test are already written by the time anyone is asked to read the exact diff. This demo runs AURA as one step inside a Temporal workflow, alongside Codex. A GET request against a product catalog service goes from success to HTTP 500, and ClickHouse records the version, commit, trace ID, and exact error for every request. By the time AURA investigates, all 1,133 requests on that version have failed.
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grafana

The Grafana AI SDK for Go: a shared foundation for building AI applications

Aug 25, 2026 By Luccas Quadros In Grafana
Starting an experiment with an LLM has never been easier. Keeping a growing collection of those experiments consistent is another matter. Earlier this year, as more teams began exploring AI features here at Grafana Labs, we repeatedly encountered the same pattern: a new experiment would start, move quickly, and build its own client for whichever model provider it needed. The next experiment would do the same, with a slightly different abstraction for streaming, tools, errors, or provider configuration.
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Cloud 66

Observability for AI-Generated Code: Bridging the New Governance Gap

Aug 25, 2026 By Kelley Schultz In Cloud 66
We are witnessing the fastest expansion of the software development lifecycle in history. Generative AI tools have turned every developer into a hyper-productive builder, and in some cases, turned non-technical team members into creators of production-bound services. But this speed comes with a hidden cost. When the volume of code grows exponentially, the surface area for failure grows with it. The real challenge of modern software engineering is not Day 1 code generation; it is Day 2 operations.
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Top 6 Multi-Agent Orchestration Tools for Software Teams

Top 6 Multi-Agent Orchestration Tools for Software Teams

Aug 25, 2026 By OpsMatters In OpsMatters
Software teams have already seen what single-agent tools can do. They can draft code, explain unfamiliar functions, summarize pull requests, generate tests, and clean up documentation. Those tasks are useful, but they do not solve the larger coordination problem that slows down engineering work.
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5 AI Tools Cutting SaaS Costs for IT and Marketing Teams in 2026

5 AI Tools Cutting SaaS Costs for IT and Marketing Teams in 2026

Aug 25, 2026 By OpsMatters In OpsMatters
SaaS sprawl has become one of the quieter budget problems inside IT and marketing departments. Every team picks up a new tool to solve an immediate problem, nobody audits the stack regularly, and eighteen months later finance is asking why the software budget has ballooned while adoption of half those tools sits in single digits. AI tooling has followed the exact same pattern over the past two years, arguably faster than any other category before it.
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Best Voice AI Orchestration Platforms in 2026

Best Voice AI Orchestration Platforms in 2026

Aug 25, 2026 By OpsMatters In OpsMatters
Building an AI voice agent can be easy, but making it actually work on real phone calls is more challenging. Voice AI orchestration platforms help to connect speech-to-text, text-to-speech, and telephony networks into real-time conversational agents. Although these tools are AI-powered, they handle turn-taking and interruptions during web interactions. By using these platforms, you will get fluid voice conversations that are ready to use.
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How AI Answer Engines Like Perplexity Choose Which Brands to Cite in 2026

How AI Answer Engines Like Perplexity Choose Which Brands to Cite in 2026

Aug 25, 2026 By OpsMatters In OpsMatters
More product research now starts inside an AI assistant instead of a search engine. When someone asks ChatGPT, Perplexity or Google's AI Overviews for the best option in a category, they get a short written answer that names a few brands and links to a handful of sources. The brands that are named win the attention. The rest are not shown at all.
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Alert fatigue, AI triage, and incidents: Lessons from observability experts at Cyera, PlayHQ & NAB

Aug 24, 2026 By Grafana In Grafana
Observability looks perfect in a slide deck – in practice, it's messier. In this panel, engineering leaders from Cyara, PlayHQ, and National Australia Bank share what really happened when they scaled observability: unexpected cloud bills, alert fatigue, a weekend database outage caught by an AI-assisted triage agent, and a vendor dispute settled by a single chart. They also cover moving beyond legacy tooling, using AI to close the PromQL skills gap, and what's next – from agentic SDLC integration to continuous profiling. Real stories, real numbers, real lessons.
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