Operations | Monitoring | ITSM | DevOps | Cloud

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

AWS Data Transfer Pricing Guide And How To Reduce Costs

You’re probably familiar with finding surprise, hidden charges if you’ve been using the cloud for a while. Data transfer fees are the most common source of unanticipated Amazon Web Services (AWS) charges. They can be so costly that some companies, like Netflix and Pinterest, have spent fortunes on data transfer fees — up to $30 million a year. In this post, we’ll share tips for navigating AWS data transfer pricing and how you can optimize costs.

How AI Is Reframing the Software Development Operation Rules

There's a revolution in the making in software development. It's about working smarter. Teams scale without lag and produce consistently high-performing systems. And artificial intelligence is stepping up as a game-changing partner. This shift isn't automation - it's intelligence. AI is bringing sense to complexity, allowing teams to cut through noise and ship quality code. It makes DevOps pipelines stronger than ever. Let's get in there and look at how AI is taking drudgery off the table and redefining operational excellence for the tech stack.

Eliminating Flaky Tests with Traffic Replay

There are few things that can derail developer productivity and undermine your pipeline like a flaky test. Testing is the backbone of a good development process, ensuring that your code is as accurate and usable as possible. When these tests point towards faulty development, the impacts can be significant. This information is predicated on an assumption, however – the assumption that what the test says is accurate.

Azure DevOps agent pools: diving deeper

Most of the time the build and deployment pipelines we create will run on compute provided by the Azure DevOps cloud and the only decision we need to make is whether to select a Windows or Linux Agent. Sometimes though, the specification for the VM that Azure DevOps spins up may not be right for our needs. We may need more memory or a particular OS version. This is when custom agents and Agent Pools come into play.

REST v. GraphQL v. gRPC #speedscale #developers #softwaredevelopment #shorts #softwaretesting #api

When it comes to building APIs and enabling communication between different software components, three prominent architectural styles and frameworks often come up: REST, GraphQL, and gRPC. Each has its own approach, strengths, and weaknesses, making them suitable for different use cases.

Use AI to resolve CI test failures with zero guesswork

Test failures are inevitable. A broken condition, a missed edge case, or a last-minute refactor can trip up even the most careful changes. That’s part of shipping software. What shouldn’t be part of the job is spending half your afternoon parsing logs and chasing down the root cause. Now, there’s a faster way. This guide shows how to use the CircleCI MCP server to identify, understand, and resolve failing tests in a CI/CD build without ever leaving your editor.

Streamline your LangChain deployments with Langserve on GCP

Deploying Large Language Model (LLM) applications can transform ideas into valuable services. But, deployment challenges can slow down even experienced developers. In this tutorial, you will build and deploy a LangChain application using LangServe and CircleCI on Google Cloud Run. You will create a text summarization tool powered by Google’s Gemini model. You will use Langserve to expose it as an API. You will automate testing and deployment to Google Cloud Run using CircleCI.

Densify and Nutanix Partner to Deliver AI-Driven, Fully Automated Kubernetes Optimization

We’re thrilled to announce our partnership with Nutanix, integrating Densify’s AI-powered Kubernetes optimization solution, Kubex, with the Nutanix Kubernetes Platform (NKP). This collaboration brings together two leading technologies to radically improve how enterprise Kubernetes environments are managed—through AI-driven insights and end-to-end automation of resource optimization.

Dynamic Demands, Dynamic Solutions: IT's Role in the Next AI Workflow Evolution

I have just finished reviewing the Microsoft Work Trend Index Annual Report for 2025, which offers fascinating insights into the next wave of organizational evolution. I am particularly excited about the section titled ‘Journey to the Frontier Firm’ and what is possible in phase three, where employees will harness the power of multiple AI agents, creating an ‘agentic swarm’ capable of executing tasks at a scale and speed previously unimaginable.