Operations | Monitoring | ITSM | DevOps | Cloud

Build and run Datadog workflows from Bits Chat or AI agents

Teams use AI coding agents and Bits Chat to troubleshoot systems and handle complex tasks, often uncovering repetitive work worth automating. But turning those routines into workflows can still require switching tools and recreating context manually. Through the Datadog MCP Server, Workflow Automation now lets you build workflows from Bits Chat or AI coding agents like Claude Code, Cursor, and Codex.

What to Know About AI Code-to-Merge Platforms

AI coding agents can generate pull requests at a pace your team has never seen. The bottleneck has shifted from writing code to everything that follows: reviewing, iterating, and merging. AI code-to-merge platforms are the category of tools built to manage that entire lifecycle, from the moment an agent starts working to the moment code lands in your main branch. This article walks through ten questions you should ask before committing to a platform.

Making Shared GPUs Even Safer with Kubex and HAMi-core

Table of Contents A few months ago, we introduced Kubex support for the KAI Scheduler to improve GPU sharing for production inference workloads. The basic model is simple: The KAI Scheduler handles placement and GPU sharing. Kubex continuously observes usage and adjusts those allocations as demand changes. KAI provides the scheduling foundation. It lets multiple workloads share a GPU while accounting for the amount of GPU each workload requests. Kubex then closes the loop.

How to automate sending and receiving faxes in IT processes? APIs, webhooks, integrations

It's true that fax in 2026 may seem like a technology out of place in today's DevOps environments. However, it's also true that in many regulated industries - it's still a key part of document workflows. The problem isn't necessarily the communication channel itself, but rather how it's handled. Traditional fax requires devices, phone lines, and manual document processing. API integration allows you to migrate this process to a software environment and connect it with existing systems. Curious? Let's dive in.

Best AI Humanizer Tools for Ops and IT Teams Writing Technical Documentation in 2026

You finish the postmortem at 11pm, push it to the knowledge base, and the next morning it comes back flagged. Not for a factual error - the reviewer's note says it reads like AI. So now you're rewriting a document that was already correct. Most ops teams have hit some version of this. DevOps engineers, SREs, and IT ops managers draft runbooks, release notes, API documentation, and incident comms with Copilot, ChatGPT, or Gemini in the loop, because the alternative is writing them from scratch at 2am. The drafting problem is solved. The publishing problem isn't.

When a Parent Stops Driving, the Car Becomes a Different Kind of Decision

Families put a great deal of effort into the driving-cessation conversation itself. Whose job it is to raise it, how to raise it without a fight, what to say when a parent insists they're fine. Less effort tends to go into what happens next: the car sitting in the driveway is now an asset, not a vehicle, and assets come with paperwork rules that transportation decisions never had to account for. That shift catches families off guard for three separate reasons, and each one has a fix that takes less time than most people assume.

AI Spend Is a Capacity Problem, Not a Billing Problem

Every organisation running models in production eventually reaches the same point: the AI portion of the cloud bill grows faster than expected, and the immediate response is to invest in visibility. Calls are tagged, spending is attributed, dashboards are created, and the results are shown to the teams responsible.

The Missing Step in Mobile Release Operations: Store Screenshot Management

Mobile release teams are used to managing code, builds, test results, signing credentials and deployment approvals. Store screenshots often sit outside that system. They are treated as a final design request, passed between product, marketing and engineering in a collection of chat messages and shared folders.

August 2026 Early Warning Signals

August brought notable outages across developer platforms, SaaS tools, communications services, and cloud applications. StatusGator detected 789 Early Warning Signals during the month. Of those, 153 incidents (19.39%) were acknowledged by providers, while 636 (80.61%) were not officially acknowledged. StatusGator’s Early Warning Signals often surface service disruptions before providers post an official update.