Operations | Monitoring | ITSM | DevOps | Cloud

Can you create an audit trail for what your AI agent actually did, and enforce rules about what it was allowed to do? Here’s what I found after spending a session wiring the two tools together.

Whether you’re in finance or engineering, you know keeping your customers happy is the key to success. That means, your SaaS product or service needs to be available, reliable, and cost-effective virtually all the time. On that note, you can determine how stable and high-performing your service is depending on whether you use On-Demand or Spot Instances. Pricing, capacity, and flexibility will also vary depending on which of the two instances you choose.

The Netdata Cloud MCP Server is now available — giving AI agents and assistants direct access to your Netdata through a single endpoint at app.netdata.cloud/api/v1/mcp.

At Harness, we’re committed to helping teams build and deliver software that doesn’t just work – it thrives under pressure, scales reliably, and recovers swiftly from the unexpected. Today, we’re taking the next step in that mission by evolving our Chaos Engineering module into Resilience Testing. This evolution reflects how reliability is tested in practice today.

Engineering metrics tools won’t solve problems if there isn’t communication about expectations in place. Learn how leaders are connecting engineering metrics with business outcomes. Engineering organizations are waking up to something that used to be optional: measurement. Not vanity dashboards. Not a quarterly “engineering metrics review” that no one prepares for. Real measurement that connects delivery speed, quality, and reliability to business outcomes and decision-making.

The average cost of a security breach reached nearly $4.4 million in 2025, according to the publication Cost of Data Breach Report. To proactively address this substantial financial and security risk, Infobip, a global cloud communications platform, used HAProxy Enterprise to implement a security and uptime framework that is both highly modular and highly performant.

Chatbots are starting to look fairly promising for businesses of all kinds. Customers today are keen to get things resolved faster than ever. Every startup out there is tempted to take the deal. But before jumping onto the bandwagon, you need to do some thinking as to what type of chatbot you must invest in. The decisive question being, which model of conversational AI perfectly aligns with the needs of your organization.

Most engineering leaders know they should be measuring more. What holds many of them back is a quieter concern about whether the organization is actually ready to see the numbers. This tension, however, did not keep Ganesh Datta, our co-founder and CTO, and Randy Shoup, SVP of Engineering at Thrive Market, from diving down this rabbit hole on the Braintrust podcast.