Operations | Monitoring | ITSM | DevOps | Cloud

PostgreSQL ODBC drivers are no longer background components. For teams running BI, reporting, and ETL on PostgreSQL, the drivers directly affect how fast queries run, how reliably dashboards refresh, and whether data pipelines remain stable as usage grows. As PostgreSQL moves deeper into analytics stacks, these capabilities are driving the demand for these tools, a trend reflected in broader ODBC market growth.

We’re delighted to announce a strategic partnership between Kosli and TeamTopologies - a collaboration that brings together SDLC Governance automation with the world’s leading framework for organizing business and technology for fast flow of value.

Kubernetes has become the default foundation for a lot of modern application infrastructure. It’s powerful, flexible, and widely supported, which makes it an obvious starting point for many teams building a cloud-native application platform (a standardized way for teams to deploy, run, secure, and operate applications in production). But there’s a distinction that often gets lost early in the decision process: Kubernetes is a framework. It is not a platform.

Choosing an on-call rotation is about finding a rhythm that balances your team’s well-being and your system’s reliability. The right on-call rotation helps prevent burnout and makes on-call duties sustainable over the long run. This guide walks you through different on-call rotation patterns, from daily rotation to after-hours rotations. We’ll look at why you might choose a particular rotation and the challenges that often come with it.

There is often a temptation to stretch on-call shifts to a month or longer, especially when incident volume is low. The logic seems sound. If the phone rarely rings, it feels unnecessary to hand off on-call duties every week. But looking strictly at incident volume often misses the human side of the equation. Being on-call isn’t just about answering pages. It is also a state of mind. Even when it is quiet, simply being on-call could create fatigue of its own.

Today, we’re launching a new approach to running disaster recovery tests, validating failover processes, and ensuring compliance with regulations such as DORA. With Disaster Recovery Testing, you can run zone, region, and datacenter-scale experiments across your entire Gremlin organization simultaneously. ‍

London, February 3, 2026 — Canonical and AWS are pleased to announce the release of the new snap for AWS IoT Greengrass, making the deployment of your IoT solutions easy and seamless all the way from silicon to the cloud. With the AWS IoT Greengrass agent now available as a snap package from the Canonical Snap Store, Ubuntu Core has become the ideal operating system for all your AWS IoT edge workloads and data ingress.

We know that AI has been transformational for engineering and it will continue to be, so stop me if this sounds familiar. Imagine an engineering lead opening a pull request for a critical security patch and finding five hundred lines of AI-generated code. While the solution is (mostly) usable, it follows a pattern no one on the team recognizes. This shift away from manually writing every line of logic has introduced a unique level of complexity for teams.

Automation has become more than just a "nice to have" choice. It's an essential part of the modern business landscape, promising increased efficiency, reduced costs, and improved accuracy. However, despite its potential benefits, many organizations struggle when trying to implement automation. In this article, we'll explore some of the most common implementation mistakes we've encountered and how to navigate them effectively.