Operations | Monitoring | ITSM | DevOps | Cloud

Short Summary: This guide shows how to use time-based LEFT OUTER JOINs with SQL Server temporal tables, step by step. You’ll see how dbForge tools help you fine-tune these queries so you can get accurate reports for specific points in time, fully understand how your data changes, and confirm that your logic is correct.

IT organizations are being asked to reduce costs, manage risk, and maintain performance at the same time. Meanwhile, infrastructure complexity continues to grow, and vendor pricing changes are reshaping budget assumptions. Too often, an IT cost optimization strategy is shaped by incomplete data around sizing, licensing, refresh timing, and platform decisions. That uncertainty leads to overprovisioning, budget surprises, and reactive operations. Observability changes that equation.

This is a guest post from James Hemson. For years, the test data management market has told smaller companies the same story. Test data is complex. You need consultants. Compliance is expensive. Expect a six-month implementation before you see any value. At Redgate we think that's wrong. And we think it's wrong by design. Complexity creates services revenue. It creates switching costs. Most vendors have built their businesses around this.

L1, L2, L3 is one of the most common ways to structure an escalation policy. The idea is simple: an incident triggers and lands with a first responder. If it needs more attention, it moves up the chain to someone with more expertise. This guide explains how each tier works, when this structure makes sense, and what to keep in mind when setting one up.

2025 was the year that RISC-V readiness gave way to RISC-V adoption. It’s been quite a journey. What began years ago as early architectural exploration and enablement has matured into real silicon, systems, and deployments. In particular, RVA23 provides a stable and predictable baseline we can align on with our wider ecosystem of partners. At Canonical, we’re committed to making RISC-V a viable option for anyone who wishes to adopt it.

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.