Operations | Monitoring | ITSM | DevOps | Cloud

The race on AI is heating up; the next generation of vibe coders and prompt engineers are entering the job market as we speak, and AI is the hottest line item on most IT budgets this year. Building the next great home automation software or adaptive learning platform with cutting-edge machine learning is great and all, but like all great software, it needs to start with the plumbing.

Monitor your deployments with Qovery Observe: real-time metrics, logs, and events, directly integrated with your AWS applications and containers.

Harness has been recognized as a Leader in the 2025 Gartner Magic Quadrant for DevOps Platforms for the second consecutive year. To us, this recognition acknowledges our solutions and capabilities that we offer. . Harness continues to support the full software delivery lifecycle and remains focused on expanding capabilities and improving adoption across industries.

Policies are essential for maintaining secure, cost-effective, and compliant infrastructure. But writing them from scratch takes time, time most teams would rather spend on building and shipping. The intent is there. Platform teams want to enforce standards. But figuring out what to enforce, writing the logic, validating parameters, and wiring it all into workflows adds friction. Even experienced teams find themselves blocked not by policy frameworks, but by the overhead of getting started.

Security and compliance teams face a critical challenge: by the time they discover suspicious activity in their development pipeline, it’s often too late to prevent damage. Manual audit log requests create bottlenecks that delay incident response, and gaps in visibility leave organizations vulnerable to insider threats and compliance violations. If your team struggles with any of these issues, you need a systematic approach to real-time audit monitoring.

HAProxy is the workhorse in front of countless APIs and apps because it’s fast, lean, and flexible. Because it sits on the traffic hot path, it’s also your earliest warning system when something slows down or breaks entirely. This means that monitoring it isn’t optional. You need to see connection queues and retries, per-stage timings, health-check failures, and spikes in error statuses to catch incidents before users do.

Scaling workstation deployments is never straightforward. IT teams need to balance performance, cost, manageability, and security, but the trade-offs between approaches can be significant. In this blog, we’ll walk through the three most common deployment models, highlight their limitations, and introduce how newer solutions like Computle illustrate a different path.