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

LightMesh + AWS: Secure Subnet Discovery and Unified IPAM at Scale

LightMesh now integrates with AWS, providing automated discovery and unified management of your cloud networking resources. This powerful integration eliminates fragmented visibility across VPCs and regions, giving you real-time insights into your entire AWS infrastructure through a single, intuitive platform.

Drift Away: The Hidden Risk of Large-Scale Kubernetes Environments

Configuration drift is a silent but persistent challenge in managing Kubernetes environments at scale. Whether you’re running workloads across multiple clusters in on-premises data centers, cloud providers, or edge locations, the risk of drift increases exponentially as environments grow. According to a Komodor survey, 40% of Kubernetes users report that configuration drift negatively impacts the stability of their environments.

AI On A Budget: Low-Cost Strategies For Running AI In The Cloud

AI costs can spiral out of control before you know it. One day you’re building an AI feature that promises to bring in a solid chunk of revenue for the company. The next day you’re obsessing over an astronomically high cloud bill that will significantly eat into your profits — or consume them entirely. To help you solve this problem, we brought in Jeremy Daly, Director of Research (and AI cost management guru) at CloudZero.

Automating API Mocks in Your CI Pipeline with proxymock

When running tests in a CI/CD pipeline, relying on external APIs can introduce instability, slow down execution, and even lead to failed builds due to rate limits or API downtime. Fortunately proxymock provides a solution by capturing API interactions and running a local mock server, enabling fully isolated and repeatable tests. In this blog, we’ll demonstrate how to integrate proxymock into a GitHub Actions CI pipeline using a demo app called outerspace-go.

How to Mock OpenAI's APIs with Speedscale's ProxyMock

Developing APIs can often be a complex web of dependencies, external dependencies, and murky network traffic. In order to build better, developers need a certain amount of stability to test a query or feature against, and when this stability is lacking, development can get more complicated and difficult. Enter API mocking. API mocking is an approach to generating a mock service that provides dependable data for a variety of testing purposes.

Easiest Way to Monitor Your Java Application Using OpenTelemetry

When you're running a Java application, the JVM is doing a ton of work behind the scenes but unless you're actively collecting its internal metrics, you're essentially flying blind. Fortunately, the JMX Prometheus Receiver paired with the JMX Java Exporter Agent offers one of the simplest and most effective ways to expose JVM performance data.

How DCI to the Edge will be important for AI

AI continues to dominate the networking landscape in 2025, but what impact will it have on future developments? The network edge is expected to play an increasingly significant role as AI model training in the core transitions to inference at the edge. This webinar will discuss the importance of the edge in AI advancements and explore how service providers can leverage their prime assets—space, power, and network infrastructure—to support this rapidly growing application.

Announcing Densify's Latest Release: Smarter Kubernetes Automation, Built for the Enterprise

To coincide with KubeCon Europe 2025, we’re excited to announce the latest release of Densify’s Kubernetes optimization engine, Kubex, which delivers full-stack resource management and seamless automation resource optimization at enterprise scale. This release delivers the advanced controls enterprises have been asking for—without sacrificing the intelligence and precision that sets Densify apart.

Going beyond MTTx and measuring "good" incident management

Going beyond MTTx and measuring “good” incident management We’ve chatted with hundreds of engineering teams, and a pattern keeps popping up: everyone’s tracking MTTX metrics—MTTR, MTTA, MTT-whatever—but when you ask, “Cool, so what are you doing with that?” …you get blank stares. And honestly, fair enough. Time-based metrics are easy.