Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

speedscale

I built an API traffic classifier for business workflows

Aug 25, 2026 By Ken Ahrens In Speedscale
An engineering leader asked me a question a few weeks ago: could we read their business workflows out of API traffic instead of asking people to document them? I said it should be possible. Then I tried it. A few engineers know how the system really works. They know which calls make up a work order and which checks happen after a write. That stuff rarely makes it into the test plan. Usually it’s in somebody’s head. Sometimes it’s in several heads, with slightly different answers.
Read Post
manageengine

The psychology behind the apps we use every day

Aug 25, 2026 By Priyanka Gs In ManageEngine
Have you ever opened a new app and immediately known what to do? You know where to click, what an icon means, and somehow everything feels exactly where it should be. Then you open another app and spend several minutes looking for a basic setting, navigating confusing menus and wondering why something so simple feels so difficult. What makes the difference? It isn't always the technology. Often, it's psychology.
Read Post

AI Only Your Data Can Build

Aug 25, 2026 By Splunk In Splunk
Your competitive edge isn't the model; it's the data that only you have. Sonal Pardeshi, Head of AI Product at Splunk, explains why teams building on general-purpose models keep arriving at the same generic outcomes, and what changes when agents are grounded in your own machine data and your own governance. AI Toolkit and Agent Launchpad let teams build and run agents against your grounded data.
View Video

ChatGPT Stopped Citing Reddit - And That Matters

Aug 25, 2026 By Harness In Harness
ChatGPT appears to have dramatically changed how it searches the web — and Reddit is suddenly showing up far less in its citations. For years, Reddit was one of ChatGPT’s most frequently cited sources, at one point accounting for as much as 15% of citations. That also created an entire industry around influencing Reddit posts in hopes of getting brands surfaced inside AI-generated answers. Now, ChatGPT appears to be shifting toward more targeted searches of official websites, documentation, and help centers instead of broadly searching the open web and pulling in Reddit discussions.
View Video
datadog

Golden Paths for AI agents: What changes when platform users aren't human?

Aug 25, 2026 By Datadog In Datadog
Agents are already calling your self-service APIs, querying your catalog, and independently provisioning resources around the clock. According to Gartner’s 2026 Hype Cycle for Agentic AI report, agents have had the most aggressive adoption curve of any emerging technology. Gartner even considers agents to be a formal user persona, referring to the agent experience (AX) throughout the report.
Read Post

Only hard work: AI's unexpected burnout risk

Aug 25, 2026 By Sumo Logic, Inc. In Sumo Logic
On this episode of Masters of Data, we dig into what happens when AI actually delivers on its promise to eliminate busywork, and explore why removing the toil doesn't feel like the win everyone expected. We make the case that repetitive tasks build the intuition, pattern recognition, and muscle memory people need to do the harder work well. Security and engineering leaders rethinking how much triage and busywork to hand off to AI will find plenty to chew on here, especially anyone staring down a task list where every single item feels like the hardest one.
View Video
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.
Read Post
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.
Read Post

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.
View Video

Copyright © 2026 OpsMatters™. All rights reserved.