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

Komodor

Building Trust in the Machine: A Guide to Architecting Agentic AI for SRE

Feb 4, 2026 By Itiel Shwartz In Komodor
The promise of Artificial Intelligence in Site Reliability Engineering (SRE) is seductive: an autonomous system that never sleeps, instantly detects anomalies, and fixes broken infrastructure while humans focus on high-value work. However, the gap between a demo-ready chatbot and a production-grade Autonomous AI SRE is vast. In complex, noisy environments like Kubernetes, a “naive” implementation of Large Language Models (LLMs) is not just ineffective, it can be dangerous.
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upsun

What mid-market IT teams wish they knew before deploying AI agents

Feb 4, 2026 By Upsun In Upsun
AI agents are quickly shifting from experimentation into day-to-day operations. That shift is showing up in the data. McKinsey’s latest State of AI research highlights both broader AI use and the growing focus on “agentic AI,” even as many organizations still struggle to scale safely. For mid-market IT teams, agents can feel like the unlock: automate repetitive workflows, reduce backlog pressure, and deliver more output without expanding headcount.
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upsun

Scalable AI governance: why your policy needs a platform, not just a PDF

Feb 4, 2026 By Upsun In Upsun
Most IT teams don’t lack AI policies. They lack policies that survive a Git push. In many organizations, AI governance is a paper tiger. There are comprehensive documents outlining data usage, approved models, and risk management. On an auditor's desk, these policies look complete. But inside the workflow, the reality is different. AI tools are being embedded directly into IDEs, CI pipelines, and internal automation scripts.
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spike

2-day vs. 4-day on-call rotations: Which one fits your team

Feb 4, 2026 By Sreekar In Spike
Teams that find a weekly rotation too long and a daily rotation too short often end up choosing between 2-day and 4-day rotations. This guide compares both these rotations across three key criteria. For each criterion, we have discussed how it works for 2-day and 4-day rotations and recommended what to choose when. To make it easy, we also included a comparison table for a quick overview. This gives you all the information you need at a glance. Let’s dive in! Table of contents.
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redgate

Your Test Data Environment: Build vs Buy - a conversation we need to have

Feb 4, 2026 By Steve Jones In Redgate
After three decades of working with databases, one thing I’ve seen over and over is this: we don’t treat our development and test environments with the same respect we do our production systems. Not because people don’t care. Far from it. It’s usually because teams are under pressure, everyone’s juggling multiple priorities, and the quickest path forward often wins the day.
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#052 - The "Short Long Path": Mastering Abstraction, Culture, and Kubernetes Scale with Shemer M...

Feb 4, 2026 By Komodor In Komodor
In this episode, Itiel joins forces with Shemer, Director of Platform Solutions at the gaming giant Playtika, and Scott Rosenberg, Lead Architect at TeraSky, to discuss the realities of platform engineering at a massive scale. The trio dissects Playtika’s multi-year journey from a legacy, homegrown Kubespray infrastructure to a modern, holistic platform built on Spectro Cloud, all while running strictly on-premise to support 25+ games and high-volume traffic.
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devart

Best PostgreSQL ODBC Drivers in 2026: How to Choose

Feb 3, 2026 By Dereck Mushingairi In Devart
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.
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Disaster Recovery Testing by Gremlin

Feb 3, 2026 By Gremlin In 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.
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