Operations | Monitoring | ITSM | DevOps | Cloud

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

SLI, SLO, SLA: What They Mean for Load Testing

Most engineers can recite these three terms. Fewer know how they actually connect during a load test. If your team is running performance tests without mapping results to SLOs, you're collecting data without a pass/fail signal. This short gives you the mental model to turn load test output into something your SLA can actually depend on.

Beyond code execution: the strategic case for stateful AI sandboxes

While ephemeral sandboxes are effective for isolated code execution, enterprise AI agents require a more robust context to be reliable. Upsun provides production-like preview environments, complete with byte-level clones of apps and services, offering a higher standard of validation for agentic workflows.

Solving the Complexity of Data Center Operations with Cloud-Based DCIM Software

Managing a growing data center requires accurate, real-time infrastructure data. Outdated tools often miss critical changes, delay decisions, and make it harder to control energy usage, capacity, and risk. Hyperview is a cloud-based Data Center Infrastructure Management (DCIM) platform that helps teams monitor, manage, and optimize their data center infrastructure from one centralized system.

Running Your App in Production

Your app is deployed. Users are signing in. Traffic is flowing. Everything is live. Congratulations, give yourself a pat on the back. Okay that's enough. Now it’s time to get back to work because you’ve officially entered the phase where production starts revealing all the decisions you made three months ago, unsure how it would affect you today. Because deploying an app is one half of the job. And, production environments have a way of exposing: This is where operations begin.

Best ADO.NET Tools for SQLite in 2026

The best ADO.NET tools for SQLite should preserve the speed that makes SQLite worth using in the first place. Recent benchmarks show it completing 100,000 sequential reads in 272 milliseconds, nearly 5x faster than MySQL on the same hardware, because there’s zero network overhead between your app and the database. A slow or poorly matched provider wipes out that advantage. Queries drag, operations behave unpredictably under concurrency, and simple data access turns into a scaling problem.

What's New in dbForge 2026.1: Greater Convenience, Enhanced Code Completion, and a Big Update of dbForge Studio for PostgreSQL

The time has come to announce the release of dbForge 2026.1, a grand update that brings a variety of new features and long-anticipated enhancements to the entire dbForge ecosystem. As usual, the update will cover all database systems that dbForge is compatible with, but this time, there will be a special focus on PostgreSQL and related databases and cloud services, whose users will be witnessing a major step forward, with multiple new features, options, and whatnot.

Why Mandating AI Tools Backfires on Engineering Teams

Responsible AI adoption for engineering teams starts with culture, not compliance. In this GitKon talk, Rizel Scarlett (Tech Lead of Open Source DevRel at Block) shares how Block helped thousands of engineers actually want to use AI tools, including Goose, Cursor, Claude Code, and more, without mandates, vibe coding disasters, or security gaps.

Humans aren't fast enough for 4 9's

When thinking about Service Level Objectives (SLOs) and contractual Service Level Agreements (SLAs) for availability, I always like to put the percentages into concrete numbers. It’s easy to lose track of what’s meant when saying “99.95%” availability, and even more is lost when thinking how much harder it is to achieve 99.99% compared to 99.95%. On a monthly basis, and in concrete terms, 99.95% availability means you get 21 minutes and 55 seconds of downtime.

Monitoring Your Azure to Azure Local Migration: One Dashboard for Both Sides

More organizations are moving workloads from Azure public cloud to Azure Local (formerly Azure Stack HCI) than most people realize. The reasons vary: data sovereignty requirements, latency-sensitive workloads that need to be closer to the edge, cost optimization for predictable workloads where reserved cloud capacity doesn’t make financial sense, or regulatory constraints that require data to stay on-premises.