Operations | Monitoring | ITSM | DevOps | Cloud

Short Summary: Many companies evaluate cloud platforms when they reach scalability limits on existing infrastructure, with migration decisions typically driven by a broader mix of factors: cost optimization, availability, security, and access to managed services. However, despite this shift, a lot of teams still run SQL Server on their own servers. Keeping these systems running well requires good monitoring, performance tuning, and regular maintenance.

When you’re building.NET applications, the choice between free ORM tools and commercial ones can make or break your project’s future. It’s not about one side winning, both have standout strengths. Free tools like Entity Framework Core or Dapper offer flexibility without the price tag. However, as projects grow, teams need commercial tools to deal with larger schemas, more complex mappings, and multiple developers working on the same data layer.

In Part 1, we argued that most dev teams start in the wrong place. They obsess over prompts, when the real problem is structural: agents are dropped into repositories that were never designed for them. The solution was to make the repository itself agent-native through a standardized instruction layer like AGENTS.md. But even after you fix the environment, something still breaks. The agent starts strong.

If you’re evaluating compliance controls against your Kosli trail data today, there’s a good chance you’ve written some glue code to make it work. A script that pulls trail data from the API. Another that downloads attestations one by one. Something that mangles the JSON together into a shape that your chosen compliance engine can evaluate. And then that engine itself, whether it’s OPA, a custom Python script, or something else, installed and configured in your pipeline.