Operations | Monitoring | ITSM | DevOps | Cloud

harness

AI Writes Code Fast. Can You Trust What Gets Deployed?

Sep 25, 2026 By Nicole Morgan In Harness
AI has solved writing code fast. The new bottleneck is trusting what actually reaches production. Here's what that requires. Based on the DevOps.com webinar "AI Writes Code Fast. Can You Trust What Gets Deployed?" presented by Harness, August 12, 2026. AI has removed the bottleneck in writing software. Code that used to take days now takes minutes. But speed of creation and trustworthiness of what reaches production are two very different things.
Read Post

GitKraken Insights | AI feels faster. Make sure it is.

Sep 25, 2026 By GitKraken In GitKraken
AI feels faster. Make sure it is. GitKraken Insights shows engineering leaders the real cost, output, and ROI of their AI investment, per tool, per team, per developer. Then it gives every developer their own data and coaching to get more from it. 84% of developers say they feel more productive with AI. Only about one in five can actually measure the impact.* With GitKraken Insights, you can: We run on it ourselves: GitKraken's own engineering org reached 2.53x output in six months.
View Video
almaden ai

AlmaIQ in practice: when AI solves productivity problems in minutes

Sep 24, 2026 By Almaden AI In Almaden AI
In a market where new tools and technologies are constantly emerging, it is easy to get carried away by features. The real differentiator, however, lies in the impact a solution has on operations. That is what stands out most about Almaden’s solutions. More than a Digital Employee Experience (DEX) platform, it turns data into decisions. It enables IT teams to anticipate problems, act proactively, and improve the user experience.
Read Post
Sponsored Post
How to cut AI infrastructure spending without reducing GPU capacity

How to cut AI infrastructure spending without reducing GPU capacity

Sep 24, 2026 By ManageEngine In ManageEngine
Every infrastructure leader running AI workloads is staring at the same problem: GPU spending keeps climbing, the finance team wants a justification, and the operations team is caught between proving the infrastructure is necessary and explaining why the returns aren't keeping pace with the investment. The instinctive response is to either procure more capacity to handle growing demand or cut back on what's already deployed. Neither actually solves the problem.
Read Post
datadog

Using TypeSafe's Jev for evals in Datadog Agent Observability

Sep 24, 2026 By Datadog In Datadog
TypeSafe AI released Jev in September 2026 to do one thing: make decisions. Give it a state (a string or a JSON object) plus a set of typed questions, and it returns typed answers with probabilities. It never explains itself, and that constraint is the whole idea. Evaluation pipelines have spent the last two years asking text generators for yes/no verdicts, wrapping the reply in a JSON schema, and paying generation prices for what amounts to a single bit.
Read Post
meshiq

What Is AgentIQ? Inside meshIQ's In-Flow Governance Control Plane for AI Agents

Sep 24, 2026 By Gourab Basu In meshIQ
Enterprises are running AI agents nobody has counted, holding credentials nobody reviewed, taking actions nobody can audit. AgentIQ governs what agents are allowed to do at the moment of action—inside the execution flow—not after the fact through a gateway watching from outside.
Read Post
cloudzero

We stopped asking an LLM how much its own work would cost

Sep 24, 2026 By Djo Lopez In CloudZero
There’s a specific kind of measurement problem worth naming precisely rather than dramatizing: this month we found that our model-routing agent was assigning a token budget to every unit of work, and that budget was noise in the strict sense. Fixing it meant improving a system that’s mostly right, not tearing one down.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.