Operations | Monitoring | ITSM | DevOps | Cloud

Introducing AI Agent Deployment in Harness Continuous Delivery | Harness Blog

‍Teams building agents have converged on something that looks a lot like the software development lifecycle, but reshaped around a system whose output isn't deterministic: prototype an agent against a framework, evaluate it against a dataset of expected behavior, deploy it somewhere real, observe how it behaves against live traffic, and feed what you learn back into the next prototype. Call it the agent development lifecycle (Agent DLC).

Don't add a read replica until you've read this

As the size and complexity of their relational database workload grows, every company eventually goes through the process of off-loading work on a read replica. It comes with lots of benefits, but at a cost of increased complexity. This article is about how we dealt with that, a lot of learnings, and some useful techniques. incident.io is an incident management product relied on by thousands of customers to be the thing that supports them through anything from a minor blip to a full outage.

Cortex Platform Walkthrough

In this video, Becka gives a guided tour of Cortex, the Engineering Operations Platform that runs mission control for your AI software factory. Learn how to centralize visibility, clarify ownership, and automate standards across your entire software ecosystem. What we cover: Why Cortex: Cortex is where engineering leaders run mission control for the AI software factory: the visibility, intelligence, and controls to keep teams shipping fast without letting accelerated output turn into accumulated risk to reliability, security, and cost.

Your AI agents are lost: give them a graph

The biggest limitation facing enterprise AI agents may not be the model. It may be the context surrounding it. Anthony Alcaraz, Senior AI/ML Portfolio Growth Manager at AWS and co-author of O'Reilly's *Agentic GraphRAG*, joins Humans of Reliability to explain why reliable agents need more than a vector database and a large context window. They need structured knowledge they can navigate, memory they can prune, constraints they can follow, and feedback loops that help them improve.

How to structure a log

You’ve decided to step up your logging game and start sending more valuable, structured logs that you can query, aggregate, and use for debugging in production. Go, you! Now, uh, how do you actually write them? We’re not going to spend much time on what you should log. We’ve covered that already, a few times before. What we will be covering is how to actually write those logs, answering questions like: What makes a log structured is not just pairing messages with arbitrary JSON objects.

Security at Scale: What Changes When Everyone Can Deploy using AI

In our first series post, The New Software Creator, we mapped out a structural shift in the industry: AI is turning non-technical team members into creators of software. In our second post, When Anyone Can Build Software, Deployment Governance Is What Keeps It Safe, we argued that deployment is the single control layer that can secure this explosion of output without choking innovation.

Let's break autovacuum in Postgres: reproducing failures to make it observable

Autovacuum is one of those Postgres background jobs that quietly keeps your database healthy. It cleans up the dead row versions that every UPDATE and DELETE leaves behind, and it keeps the database away from a hard transaction-ID limit that would take it offline. Most of the time you don't think about it, because it just works.

Stable IPs for DevOps Monitoring: A Guide to Proxy-Cheap Static Residential Proxies

External monitoring is only useful if you can trust what it tells you. Synthetic checks, uptime probes, and content verifications all run from outside the perimeter, hitting public endpoints the way a real user would. When those checks return clean, honest results, teams catch problems early. When they return noise - false outages, phantom latency, blocked responses - the whole practice degrades into alert fatigue. And a common, under-appreciated source of that noise is the IP address the checks run from.

Have I Been Pwned vs. Coveron vs. Aura - Dark Web Monitoring Services Compared (2026)

Have I Been Pwned, Coveron, and Aura solve the same underlying problem in very different ways. Have I Been Pwned answers a one-time question for free, and the two paid services are built for continuous monitoring and recovery of individuals and households. Comparing them head-to-head only makes sense once you separate what a free breach checker does from what a paid identity service is for.