Operations | Monitoring | ITSM | DevOps | Cloud

Unit Economics & AI Cost Review: What's New in Turbo360 v5.4

Move the FinOps conversation from what you spend to the value you get back. Unit Economics puts your own KPIs next to Azure cost so you can talk in margin, not just bill. New holistic trackers prove what your reservations and schedules are really saving, an AI Cost Review agent turns "how are we doing?" into a full analysis in about a minute, and rightsizing now reaches your Log Analytics workspaces.

How are folks managing CVEs at scale? #itsecurity #opensource #vulnerability #sbom

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.

Cribl On Your Coffee Break Episode 15 - Routes, part 4 and Cribl Packs

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...

PostgreSQL Schema Comparison & Sync With dbForge Studio for PostgreSQL

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.

Building an AI-Powered Time Series Dashboard for Data Center Ops

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.