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

New dotConnect and Entity Developer Release: EF Core 10, AI Vector Types, and Expanded Database Compatibility

We are thrilled to announce a set of product updates across our dotConnect data providers and Entity Developer. The new release adds support for Entity Framework Core 10, introduces AI-focused vector data types across major databases, and extends compatibility with the newest platform capabilities such as SQL Server 2025, Oracle 26ai, and Microsoft Entra authentication.

API Failure: 7 Causes and How to Fix Them | Harness Blog

APIs have revolutionized how web and web app developers interact with data, whether for personal use or business. One of our most profound responsibilities as API developers is to protect our endpoints from being hacked. Even with essential safeguards in place, our websites can be vulnerable. This post discusses seven causes of API failures and how to fix them.

ABI recognises Civo as a global leader in NeoCloud innovation

Civo has been identified by ABI Research as one of the world’s leading NeoCloud providers. The report underscores our focus on cloud and AI infrastructure that blends high performance, technical innovation, and strong sovereignty. Being included in the ABI NeoCloud report validates the work we have done to support modern AI workloads while giving organisations control over where and how their data is handled.

Test your AI model training reliability, too

Training is at the heart of every LLM model, but it’s still an application running on an infrastructure, which means it can fail. Our GPU test helps you test your training GPUs so you don’t lose that valuable work. TRANSCRIPT: One of the things we built recently was the GPU Gremlin. So if you are training a bunch of models and you're doing a bunch of GPU testing. You know, we want to give you the tools to be able to go test that, to understand how training the model could fail.

Why mid-market IT teams lose control as dev velocity increases

At a certain point, faster delivery stops feeling like progress and starts feeling like risk. When engineering teams scale from 10 to 50+ developers, the volume of infrastructure changes, database schemas, environment variables, and networking rules, no longer grows linearly. It scales exponentially. This is the scaling inflection point where manual governance breaks.