Operations | Monitoring | ITSM | DevOps | Cloud

Most conversations about service desk automation stay at the strategy level for too long. Capability checklists and evaluation frameworks matter, but they won’t show you what the platform does when something breaks at 2 AM, or what happens when a single incident crosses four team boundaries before it can close. These scenarios show where simpler platforms start to give way. Teams usually automate the clean, single-system work first.

Security audits that focus only on application code often miss the delivery layer entirely. That is where the most common and most avoidable failures live. Most teams treat security as a layer added on top of a working system. The problem is that the delivery model itself introduces risk before a single line of application code runs. When deployments are manual, environments are inconsistent, or configuration drifts across stages, the system behaves unpredictably.

We are excited to announce major updates across our dotConnect Providers product line and Entity Developer. The release introduces expanded API support, new business objects and reports, improved authentication capabilities, and broader compatibility with modern.NET platforms. Our dotConnect product line continues to evolve with the latest technology changes.

In 2026, choosing the best PostgreSQL ADO.NET providers, or the right PostgreSQL.NET driver, comes down to the details. You need to know how they perform under load, how well they fit your stack, and what happens when things break. This guide compares the leading provider options side by side to help you identify the right fit for your environment. By evaluating these PostgreSQL ADO.NET providers, you can avoid pitfalls early, saving evaluation time and preventing costly fixes later.

Modern.NET applications depend on stable ADO.NET providers to connect their logic with MySQL databases. But developers often run into familiar issues, async performance that’s unreliable, providers that differ in maturity, licensing that’s unclear, or integration friction with EF Core or cloud pipelines. In this guide, you’ll get a clear, architecture-based comparison of the top ADO.NET providers for MySQL.

Your developers are already using AI agents. GitHub Copilot, Cursor, Claude Code. Not just for autocomplete, but to generate features, run test suites, and iterate across branches. Each agent needs a database to work against. And in most organizations, nobody has checked what's actually in that database, or whether it should be there.

Running your own certificate authority sounds like the responsible choice for internal infrastructure. Distribute your root cert to every machine and issue certs internally. In practice, you spend the next six months chasing down every device, contractor laptop, and vendor console that didn’t get root installed. The warnings come back. And when they do, people click through them, because they always have. There’s a simpler path, and most teams don’t know it exists.

The Agent Impact Leaderboard and the Business Impact & ROI Dashboard are live in preview inside GitKraken Insights today. We built them because the questions engineering leaders are getting asked about AI shifted faster than the tools to answer them. Here’s what shipped and how to get access.

AI coding agents produce code faster than most teams can validate it. Without a validation step between the agent and CI, every problem gets caught after the push, and feedback arrives long after the agent has lost context. Agents need consistent feedback while they’re working so that small failures get fixed locally and CI stays focused on moving code into production.