Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

If you manage enterprise networks, this scenario probably sounds familiar: An IP conflict surfaces, connectivity drops for a group of users, and the confusion begins. You check your DHCP server, dig through scope utilization, and try to piece together what went wrong, often after the disruption has already occurred. For years, network administrators have needed a single console for visibility and control into DHCP.

Digital transformation and remote work have made the user’s experience with IT a core operational requirement. Many organizations still measure IT success through traditional metrics such as response time, system availability, and the number of tickets resolved. These indicators, while useful, hide a more complex reality. A server can be 99,9% available and yet an employee may still lose 30 minutes per day due to a slow application or an unstable connection.

Organizations have moved past theoretical conversations about AI adoption. Models, agents, and autonomous workflows are entering production environments. Business leaders are optimistic about potential gains in efficiency, decision support, and operational scale. Yet beneath this momentum, compliance and risk teams feel a different pressure.

In Q1 2026, we introduced a new SolarWinds Observability integration, started preparing the upcoming Status API for release, and spent time learning directly from MSPs at CloudFest 2026 about the operational challenges shaping modern incident communication.

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.

Engineering teams have rapidly adopted AI coding tools, but organizations still struggle to understand their impact. Existing dashboards focus on activity, such as daily active users, acceptance rates, or lines of generated code, but these metrics don’t answer a more important question: Are teams actually shipping more, faster, and with fewer issues?