Operations | Monitoring | ITSM | DevOps | Cloud

LLM observability is key to ensuring model performance. Learn its importance, best practices, and actionable steps for optimal results and reliability.

Happy AWS re:Invent week, everyone! While we have some larger announcements coming out this week (keep an eye out), we’d be remiss if we didn’t take the time to also look back at what our teams have been working on over the past few weeks. While we didn’t have a stated theme for November, you will see that two of our updates revolve around building templates or examples to help make achieving your goals easier with CloudZero.

I recently had a conversation with one of our customers at AWS re:Invent that made me rethink the true value of automation. This customer told me, “You’ve automated so much for us that we almost forget about Qovery. Nobody even asks how to do things anymore.” That statement stuck with me.

High-performance computing (HPC) configuration has become paramount for AI workloads. Companies investing in AI workloads often find themselves with predictable problems: Lots of nodes that are hard to integrate and harder to manage together, under-utilized resources, deployment struggles, inconsistent configurations, and drift.

On August 28th, 2023—right in the middle of a UK public holiday—an issue with the UK’s air traffic control systems caused chaos across the country. The culprit? An entirely valid flight plan that hit an edge case in the processing software, partly because it contained a pair of duplicate airport codes.

DCIM software delivers precise, real-time insights into energy consumption across your data center. Leverage this data to target energy-intensive processes and equipment, taking immediate action to eliminate inefficiencies and reduce consumption.

Organizations often struggle to maintain visibility and control over their distributed cloud infrastructure, where changes in a single resource can have cascading effects throughout the system and potentially cause disruptions. In these environments, infrastructure changes that lead to incidents are often hard to troubleshoot—especially when teams are using disparate tools with siloed data—leading to longer resolution times, more downtime, and negative business outcomes.

Here comes the long-awaited release of three new Python Connectors for Dynamics 365 Business Central, Excel Online, and Google Sheets. These Connectors are designed to simplify data integration and maximize productivity for developers working with these platforms. From now on, it will be extremely easy to connect Python applications directly to Dynamics 365 Business Central, Excel Online, and Google Sheets, enabling accurate create, read, update, and delete operations on stored data.

We’ve got another big update! This time it’s all about PostgreSQL; the entire product line has been polished and augmented to make your experience with PostgreSQL fuller in every way—this includes new data sources, improved suggestions, a slew of new smart data generators, and quite a few other tricks to make your daily work easy as ever. Without further ado, let’s check everything feature by feature!