Operations | Monitoring | ITSM | DevOps | Cloud

Your AI Needs Git Context. Meet GitKraken MCP

Give your AI-assistants and agents the repo context they need with GitKraken MCP. Now bundled with GitLens for IDEs. Give your agents full Git context, streamline decisions, and work faster across VS Code, Cursor, and your favorite AI tools. See how MCP connects your repos, providers, and Git into one smart, seamless layer if Git intelligence your agents and you can use. Perfect for developers building with AI. Perfect for teams who want clarity, speed, and zero context loss.

Managing cloud infrastructure with AI assistant and Upsun MCP server

Artificial intelligence is changing the way we execute our everyday operations. AI assistants are incredibly intelligent; they can write code, explain complex concepts, and answer any question you throw at them. However, they can't execute actions on their own. If you ask your AI assistant to “create a backup of my database,” it may provide you with clear instructions, run the CLI commands directly or in some cases, even trigger actions through connected agent workflows.

Mastering AI Spend With CloudZero And LiteLLM

The AI landscape today feels a lot like the early days of the cloud: exciting, fast-moving, and completely fragmented. Every week, engineering teams are experimenting with dozens of large language models (LLMs) from providers like OpenAI, Anthropic, Google, Mistral, Meta, and beyond. They’re tweaking prompts, testing model performance, swapping context windows, and even running multiple models in parallel to figure out which one works best for each unique use case.

AI agents just got smarter thanks to PagerDuty + AWS

We are on the ground with AWS and announcing innovations that give customers more powerful AI agents for incident management. These new and improved integrations bring PagerDuty context into the AWS ecosystem for faster resolution and more connected data across the business. And, with our new competency, we take this a step further by codifying these best practices into our joint customers’ day-to-day operations. Announced today, here are some of the highlights.

Observability in the AI age: Datadog's approach

Ten years ago, Datadog was a single-product company focused on breaking down the silos between dev and ops. As the shift towards the cloud accelerated and organizations transitioned to the new DevOps model, we set out to develop an observability platform that would enable these teams to safely scale faster and answer the essential questions about their services: are they available, secure, compliant, performant, and cost-efficient?

Part 1: What If Data Wasn't Just the Fuel for AI but the Foundation of Everything It Knows?

Every breakthrough begins with a question. What if we looked beyond today’s tools, buzzwords, and hype and examined the design principles shaping tomorrow’s intelligent enterprises? The What If series explores those inflection points: moments where technology meets human judgment, where automation meets accountability, and where AI begins to resemble something more like understanding than output.

Enhancing Productivity with Predictive Analytics and AI

Dex aims to improve productivity and strategic leadership through predictive analytics and AI solutions. It highlights proactive problem-solving and the necessity for visibility in monitoring systems. Leadership is urged to understand how IT affects staff satisfaction and business outcomes. Immediate goals focus on enhancing visibility, while long-term strategies should align Dex's results with business priorities to secure support and investment.

Autonomous SOC: Moving Toward Self-Driving Security Operations

The idea of a fully autonomous security operations center (SOC) sparks fascination and skepticism in equal measure. Swimlane defines an autonomous SOC as a center that uses AI, machine learning and automation to handle a significant portion of security tasks, including threat detection, triage and even remediation, with minimal human intervention. The goal is to free analysts from repetitive tasks so they can focus on strategy and threat hunting. Although a completely selfdriving SOC remains aspirational, advances in hyperautomation, enterprise automation architectures and AI agents are bringing us closer.

European enterprises prioritise governance in AI deployments, as North America accelerates towards full autonomy

Digitate report reveals differing approaches to AI deployment between Europe and North America, but ROI remains consistent. Europe leading on governance while NA organisations show faster progress towards autonomous operations.