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

What are Query Executions? | The Tony and Tonie Show

Intermittent database problems are much easier to resolve when DBAs can pinpoint exactly when they occur and under what conditions. With Query Executions, Redgate Monitor captures execution details for individual queries, helping DBAs identify the precise circumstances that cause resource contention and performance problems.

Git GUI Showdown: Top Git Clients Compared - Best Git GUI 2025

Which Git GUI is right for you? Microsoft MVP and GitKraken Ambassador Kevin Bost compares GitHub Desktop, SourceTree, Fork, Tower, SmartGit, Sublime Merge, Git Butler, and GitKraken in this hands-on walkthrough. Find out which client fits your workflow best and why GitKraken stands out. Timestamps: 00:00 Intro Special thanks to GitKraken Ambassador @Kitokeboo.

SUSE Virtualization - Enforcing Admission Resource Integrity With Validating Admission Policy

Blog written by: Ivan Sim SUSE Virtualization – Enforcing Admission Resource Integrity With Validating Admission Policy With more enterprises using SUSE Virtualization (formerly Harvester) as the bedrock virtualization platform to host their modern cloud-native AI and edge workloads, it’s important that the platform provides seamless built-in guardrails to validate and sanitize resources admitted into the environment.

What is Argo CD?

Argo CD is a declarative continuous delivery (CD) tool for Kubernetes. Argo CD pulls Kubernetes configurations (such as manifests, Helm charts, and Kustomize overlays) from a Git repository and applies them to a Kubernetes cluster. With Argo CD, developers can automatically deploy changes to their Kubernetes environments by updating their Git repository. Argo CD continuously monitors Kubernetes deployments and ensures their state matches the configuration declared in Git.

Global View: Optimizing Every Layer with Innovative New Capabilities for On-Premise

Managing a hybrid IT environment is more complex than ever, requiring real-time visibility, automation, and intelligent cost control across cloud and on-premises infrastructure. Virtana’s latest innovations help organizations streamline operations, optimize costs, and enhance security, validating that every layer of IT—whether in the cloud or on-prem—operates at peak efficiency.

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.

Container Observability: Optimizing Every Layer with Innovative New Capabilities for Kubernetes & Windows

Managing containerized workloads and Windows environments requires more than just basic monitoring—it demands deep observability to prevent performance bottlenecks, optimize costs, and accelerate troubleshooting. Virtana’s latest Container Observability enhancements provide IT teams with greater control, visibility, and analytics across Kubernetes and Windows-based workloads.

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 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.