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

Cloud-native Android infotainment: your CI pipeline shouldn't depend on hardware

More and more often, infotainment systems are being developed and delivered like software, yet often they are still tested and validated using hardware-centric processes. This is far from ideal: access to devices is limited, environments are difficult to reproduce, and iteration slows down as soon as multiple teams need to work in parallel. These challenges become even more visible as cockpit systems move toward wide displays and high resolutions.

Step 1 to Web App Deployment: Front-End Deployment

Front-end deployment is usually introduced as the easy part of web app deployment. "Build the assets and push them." Seems simple, right? Yet on the contrary, those 6 words have most likely caused more production issues than most error messages. Because while front ends do look simple, they are actually a delicate stack of assumptions wearing a UI that is misleadingly easy to use.

Stop Managing Infrastructure: How BHS Corrugated Scaled Artifact Management with Cloudsmith

Are you spending more time maintaining your artifact servers than building software? In this video, we explore how BHS Corrugated–a global leader in manufacturing technology with a presence in 20 countries–transformed their developer experience by moving from fragmented, self-hosted GitHub repositories to Cloudsmith: the world’s leading cloud-native artifact management platform.

The modern JFrog alternative: Why ConstructConnect switched to Cloudsmith

Is your artifact management slowing down your development velocity? In this video, we dive into how ConstructConnect migrated from JFrog Cloud to Cloudsmith–the world’s leading cloud-native artifact management platform–to eliminate hidden costs, simplify their CI/CD pipelines, and secure their software supply chain.

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.

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 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.