If you sell developer velocity, your team better have it
If a company sells tools that promise faster engineering teams, they need to prove it internally too.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on DevOps, CI/CD, Automation and related technologies.
FinOps in the Age of Kubernetes: When Everyone Owns the Bill
A FinOps analyst walks into a Monday morning meeting with a detailed spreadsheet showing $2.3M in potential Kubernetes cost savings. The recommendations look straightforward: reduce memory limits by 40%, scale down replicas during off-peak hours, consolidate workloads onto fewer nodes. The numbers are compelling, the methodology is sound, and the savings would make a material impact on quarterly cloud spend. The SRE team immediately objects.
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.
Prompt, Deploy, Pray Is Dead: Validating AI Code with Proxymock
Recent outages tied to AI-assisted code changes have pushed companies into a corner. After several incidents with massive “blast radius” impacts, organizations like Amazon introduced stricter controls—mandating that senior engineers manually review all AI-generated code before it hits production. That response makes sense on paper, but it exposes a fatal flaw in the modern development pipeline.
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.
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.
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.
Maximizing Subsea Capacity with Programmable 140Gbaud Transmission
While the race to expand networking infrastructure to support AI applications continues on land, the same expansion is occurring undersea. Subsea cables spanning Earth’s oceans must evolve to keep pace.
Engineering changes how you think
Even when you stop writing code every day, the way engineers think about systems, feedback, and problems stays with you.
AI agents are writing real code
AI agents used to comment on issues and pull requests, now they’re pushing code to repositories.