Operations | Monitoring | ITSM | DevOps | Cloud

MCP Apps: On Call Compensation Report and Service Dependency Graph

Apr 17, 2026 By PagerDuty Inc. In PagerDuty
This April, PagerDuty's MCP server expands with powerful new capabilities across Analytics & Reporting and Business Services. Teams can now surface aggregate incident data, service metrics, and team metrics — giving operators instant access to the operational insights that matter most. On the Business Services side, the release adds business service dependencies, subscriber management, impacted services analysis, and priority mapping. Rounding out the release are two new MCP Apps (on our experimental branch): Service Dependency graph. and an On-call Compensation report.
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6 Ways Ops Teams Can Align AI With Business Impact

6 Ways Ops Teams Can Align AI With Business Impact

Apr 17, 2026 By OpsMatters In OpsMatters
AI adoption is at an all-time high, withover 70 percent of organizations are using AI in at least one core function. Despite the high rate of AI adoption, many operational teams continue to have difficulty answering the question 'Is AI actually benefiting our business?' The challenge lies in the gap between AI systems and actual business results. Bridging the gap requires aligning operational AI with revenues, customers, and growth metrics. Here are actionable steps to transform AI from a technical tool into a measurable business contributor.
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How Autonomous Technologies Are Streamlining Financial Operations for Modern Businesses

How Autonomous Technologies Are Streamlining Financial Operations for Modern Businesses

Apr 17, 2026 By OpsMatters In OpsMatters
Modern businesses are under constant pressure to move faster, reduce costs, and stay compliant in a shifting regulatory landscape. Financial operations sit at the center of that pressure. Tasks like invoicing, reconciliation, reporting, and forecasting have traditionally required heavy manual effort. That is starting to change. Autonomous technologies are stepping in to handle routine processes, reduce errors, and free teams to focus on higher value work.
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gitkraken

You're Running Agents. Your Tooling Is Still Catching Up.

Apr 16, 2026 By Jade Nangah In GitKraken
Introducing GitKraken Desktop 12.0. At some point in the last year, the question shifted. It stopped being “should I use AI coding agents?” and became “how do I run more than one at a time without losing my mind?” If you’ve been there, you know what the management layer looks like. A terminal per agent. A worktree created by hand before each session.
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datadog

Route OTel data from AI apps to ClickHouse and Datadog using Observability Pipelines

Apr 16, 2026 By Micah Kim In Datadog
As organizations continue to heavily invest in AI and build more agentic workflows, their telemetry data volumes can surge quickly, and the associated costs can become unpredictable. To regain control of their data, many AI-forward teams are turning to high-throughput, low-latency pipelines to collect and route data to tools such as OpenTelemetry (OTel) and ClickHouse. But these self-hosted solutions come with drawbacks.
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Auto-Generate Tests for Your Codebase with AI (CircleCI Chunk Tutorial)

Apr 16, 2026 By CircleCI In CircleCI
AI coding tools help you ship features faster than ever, but test coverage often can't keep up. In this video, we show you how CircleCI's Chunk autonomous CI/CD agent finds untested code in your codebase, writes tests to cover it, and opens a pull request for your review. What you'll learn: Chunk works directly inside your CI/CD pipeline, giving it access to your build history, test results, and coverage reports. That means smarter tests, not just more tests.
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