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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Best PostgreSQL ODBC Drivers in 2026: How to Choose

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.

Disaster Recovery Testing by Gremlin

Do you know how your system will respond when major outages strike? Disaster Recovery Testing safely simulates real catastrophic failures across your entire system. You can centrally and easily run zone, region, and datacenter-scale reliability tests across your entire organization simultaneously for disaster recovery, business continuity, compliance verification, and more. With Disaster Recovery Testing, tests that used to take engineering-months and dozens of experts can be done safely and securely in hours by a single person.

How To Calculate Customer Retention Cost in 2026: The Hidden SaaS Metric

You may have heard that keeping an existing customer is five times cheaper than acquiring a new one. But that isn’t always true. “Hidden costs” often accompany customer retention, loyalty, and increasing “share of customer”. Could you be spending more on customer retention than on winning new customers? This quick guide will walk you through the meaning of Customer Retention Cost (CRC), why it’s important to calculate it, and how to calculate it.

Kosli and Team Topologies - A Strategic Partnership for SDLC Governance

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.

The hidden cost of "just using Kubernetes"

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.

How to choose the right on-call rotation

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.

Why a month is too long to be on-call

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.

AWS IoT Greengrass comes to Ubuntu Core

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.

8 themes shaping engineering in the age of AI

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.