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

How to run an operational excellence review for software engineering

Most engineering organizations already run something they call an operational review. It usually looks like a cousin of the quarterly business review: a deck assembled every few months, walked through team by team, anchored on whatever incidents happened to land in the previous quarter. By the time leadership sees the data, the systems it describes have moved on and the next set of risks is already accumulating in the gap.

Klaudia Under the Hood: How We Built an AI SRE That Actually Earns Trust

In reliability engineering, being ‘mostly right’ is a liability. An AI SRE that sometimes misses the root cause or gives a confident, wrong answer at 2:17 AM has no place in an enterprise cloud environment. In this context, silence is better than noise. That’s the bar Klaudia is built to clear: genuine reliability that you can trust in production. The kind of reliability that earns a place alongside your best engineers. Getting there requires more than just a capable model.

Operational excellence (OpEx) reviews: the weekly meeting that actually changes behavior

Cortex co-founder and CTO Ganesh Datta sits down with Shawn Burke, Distinguished Engineer at Cortex, to explore what separates an operational excellence review that drives real engineering behavior from one that produces great conversation and nothing else. Shawn draws on experience from SoFi, Uber, and Microsoft to explain why these reviews so often fail—and how to build a process that actually sticks.

7 Best AI Search Tools Across Slack, Google Drive, and GitHub That Flag Stale Docs

An authoritative-looking snippet can be poisonous if it's two versions behind. A Gartner CX survey found that 56 percent of users complain about outdated documentation, and a 2026 Support Ops study attributes nearly 40 percent of tickets to articles that are stale or unclear. If a deployment script changes yet the old README still ranks first in Slack, you can lose an afternoon chasing errors. Multiply that across every lapsed policy, pricing deck, or support macro, and productivity shrinks-along with audit scores and customer trust.

Scaling Android development with Anbox Cloud

Discover how Anbox Cloud helps engineering teams scale Android development by moving Android workloads from physical hardware into the cloud. In this video, we showcase how developers can run, test, validate, and share Android environments on demand using containerized and virtualized Android instances. We explore how both approaches work, key differences, and use cases.

Validating real-world skills through Canonical Academy

In an increasingly volatile job market, standing out from the competition is vital. For many in the open source community, formal recognition for self-taught skills is a significant challenge. These skills are often built through hands-on hobbies, side projects, and deep community contributions. While the market is flooded with certificates and certifications, most fail to reliably measure practical execution, or fall behind the rapid pace of industry changes.

AI Agents Are the New Employees: The Identity & Security Crisis Enterprise IT Must Solve

As AI agents become more autonomous, enterprises face a new challenge: How do you secure a workforce that isn't human? In this episode of Agents of IT, Fran Fernandez, Zach Austin, and Ian Coppock explore the growing identity and security challenges surrounding Agentic AI. From permissions and governance to digital identities and access controls, the team breaks down what enterprise leaders need to know before deploying AI agents at scale.

How to Fix Azure Integration Errors in Minutes Instead of Days

Azure integration errors can be difficult to diagnose when messages flow across multiple services such as Logic Apps, Service Bus, Azure Functions, APIs, and external systems. Support teams often spend hours searching through logs and correlating events across services just to identify where a transaction failed.

Why Multi-Agent AI Workflows Need a Control Plane

AI is transforming how infrastructure and platform teams design, deploy, and operate systems. As organizations move from experimentation to production, a clear pattern is emerging. AI can decide what should change, but it cannot safely control how those changes are executed. This creates a gap in modern architectures. That gap is filled by a control plane. That control plane already exists in Puppet Enterprise Advanced.