Operations | Monitoring | ITSM | DevOps | Cloud

Dog-walk thoughts on vulnerabilities at scale More CVEs are being found, disclosed and weaponised faster than ever. For a small team with one product, that's manageable: a CVE lands, you fix it. But if you're running thousands of applications across tens of thousands of repos, "the teams will handle it" stops working. It becomes a governance problem.

AI agents can write tests, but those tests can repeat the same assumptions that led to the code. In this walkthrough, I use Cursor and proxymock to replay real application traffic against a local Go app, compare requests and responses, and validate code changes with real data.

Learn how to customize work types in InvGate Service Management so every department can use their preferred terminology.

AI now powers critical workloads across increasingly complex infrastructure. The question is, how do you keep the data used and generated by AI secure? For many, it’s a question of maximizing control over their own AI stacks, from training data and inference, to infrastructure operations and the underlying software.

Linux security is built for environments where resilience matters. From vulnerability management to long-term maintenance, securing open source at enterprise scale requires a robust approach across the software lifecycle. Robustness comes from how those practices work together and hold up over time.

Welcome to the end of week 3 of series to help you get started with the Cribl platform. We’re still talking about routing, but through the lens of Cribl Packs, a way of supercharging your path to getting your data in and through Cribl. By the time the month is over, you will have a pretty good idea of what Cribl can do, and how to do it. You’ll also have consumed more caffeinated beverages than is strictly appropriate...

Compare PostgreSQL database schemas, review differences, and synchronize changes with dbForge Studio for PostgreSQL. See how Schema Compare helps you select source and target databases, configure comparison options, map schemas and tables, review object differences, generate a deployment script, and synchronize PostgreSQL environments. The workflow also supports PostgreSQL-related cloud databases and services such as Supabase and Amazon Redshift.

AI demand is pushing data centers to get bigger, denser, and more distributed, while the data that runs them still often sits in different systems, slowing down operations and hampering efficiency. By leveraging a time series database like InfluxDB to create a single, unified telemetry layer, you can simplify your data stack, comfortably handle the high volume of data, and solve problems faster and more efficiently, helping to minimize waste and maximize efficiency, saving time, electricity, equipment, and money.

Alexander Mattoni, Head of Engineering and co-founder @ cycle.io shows Sanskriti Harmukh, Developer Relations Advocate @ Vultr, how the new MCP can spin up a full working application with all the required infrastructure, using Cycle's new MCP.

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