Operations | Monitoring | ITSM | DevOps | Cloud

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.

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

Explore the top 10 Docker alternatives, comparing cost, performance, and use cases to find the best solution for your containerization needs.

Setting Up Incident Management in Slack Incident Response and Resolution Building a Custom Slack Incident Bot Roles and Responsibilities Optimizing Your Incident Management Process.

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!

The Kubernetes ecosystem is undergoing a significant transformation, and the trends emerging at KubeCon highlight just how dynamic this space has become. Traditional Application Performance Monitoring (APM) providers are rapidly shifting focus to Kubernetes Performance Monitoring (KPM), reflecting the growing need for specialized observability in increasingly complex environments.

Service meshes like Istio have become an essential way to securely and reliably distribute network traffic, especially with ephemeral, service-based architectures such as Kubernetes. However, their constantly shifting nature can interfere with targeting specific services for resilience tests. Infrastructure-based testing is designed to target specific IP addresses, allowing precision testing of applications, VMs, and nodes.

2024 is coming to a close, and while many teams are slowing down in preparation for the holidays, we’ve been cooking up tons of new features. We’ve extended our platform support to the Istio service mesh, added a brand new experiment type for testing artificial intelligence (AI) and large language model (LLM) workloads, and made it easier to onboard Kubernetes clusters. We’ve also made our Linux and Windows agents more robust and performant.

Bitbucket Pipelines is excited to announce support for CI/CD third-party secrets – a powerful new feature that enables you to seamlessly retrieve secrets directly from your preferred secret store. This enhancement ensures your workflows remain efficient and secure. Now, you can set up your own integration and customize the utilization of your secrets to suit your needs.