Operations | Monitoring | ITSM | DevOps | Cloud

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

When AI Writes the Code, Who Pays the Cloud Bill?

This is part two of a series of the implications of AI generated code becoming mainstream. We recently wrote about how AI-generated code is overwhelming SRE teams with production complexity they can’t manage. Turns out that’s only half the problem. The other half shows up on the cloud bill. A prospect reached out to us last month. They’d been using Cursor and Claude Code for six months, shipping features at unprecedented velocity. Product was thrilled.

The Strategic Shift to Managed Optical Fiber Networks (MOFN)

As digital transformation accelerates, the underlying infrastructure supporting your enterprise or service provider network faces unprecedented pressure. The exponential growth of data, driven by cloud computing, 5G, and particularly Artificial Intelligence (AI), demands a fundamental rethink of how you approach connectivity.

The Rise of Technical Virtual Assistants: QA Testing, Documentation, and DevOps Support in 2026

Virtual assistants are no longer just handling emails and scheduling meetings. In 2026, a growing number of tech companies are outsourcing QA testing, technical documentation, project coordination, and even DevOps support tasks to skilled virtual assistants - at 60-70% less than hiring equivalent local talent.

ODBC Driver for MySQL: Open-Source vs Commercial (2026)

The MySQL ODBC driver is what keeps BI tools, reporting systems, and ETL pipelines connected to MySQL without errors. Teams have depended on it for years, and it’s still vital today, especially with MySQL ranked worldwide in February 2026. However, not all ODBC drivers are built alike. There are two categories: open-source options and commercial ones. While both connect applications to MySQL, they differ in areas like stability, performance, security, and support.

Humanized AI Text for Stronger DevOps and Operations Content

You create content for operations teams, DevOps engineers, SREs, and IT decision-makers. Topics include monitoring, incident management, cloud infrastructure, ITSM processes, and observability tools. AI generates initial drafts quickly. The results frequently come across as mechanical. Sentences follow predictable patterns. Technical explanations lose nuance. Readers in this field expect precise, practical language from experienced practitioners. They detect generated text easily. Engagement drops when content feels detached from real-world ops challenges.

IT Cost Optimization Strategy: Eliminating Guesswork with Observability

IT organizations are being asked to reduce costs, manage risk, and maintain performance at the same time. Meanwhile, infrastructure complexity continues to grow, and vendor pricing changes are reshaping budget assumptions. Too often, an IT cost optimization strategy is shaped by incomplete data around sizing, licensing, refresh timing, and platform decisions. That uncertainty leads to overprovisioning, budget surprises, and reactive operations. Observability changes that equation.

Mastering Temporal LEFT OUTER JOINs for Historical State Analysis in SQL Server

Short Summary: This guide shows how to use time-based LEFT OUTER JOINs with SQL Server temporal tables, step by step. You’ll see how dbForge tools help you fine-tune these queries so you can get accurate reports for specific points in time, fully understand how your data changes, and confirm that your logic is correct.

Feature Friday: New Bird's Eye Report

Stop squinting at data and start driving engineering excellence. In this week’s Feature Friday, Christine from the Cortex Product Team introduces the all-new Birdseye Report (now in private beta). See how to master your engineering standards at scale. We’ve redesigned Birdseye to give you a true "top-down" view of scorecard performance across your entire organization—from the CTO level down to a single service.

The Complexity Myth in Test Data Management

This is a guest post from James Hemson. For years, the test data management market has told smaller companies the same story. Test data is complex. You need consultants. Compliance is expensive. Expect a six-month implementation before you see any value. At Redgate we think that's wrong. And we think it's wrong by design. Complexity creates services revenue. It creates switching costs. Most vendors have built their businesses around this.