Operations | Monitoring | ITSM | DevOps | Cloud

It is 2 a.m., and something is wrong. The answer is somewhere in your logs, but finding it means guessing keywords, remembering search syntax, and scrolling through thousands of lines. Your systems keep growing, so you have more data than ever and less clarity when it counts. Today, we are bringing the AI assistant, the SolarWinds in-product AI agent (also known as SW1 in earlier previews), to Papertrail. Ask your logs a question in plain English and get an answer, with a link back to the evidence.

AI coding agents are rewriting the rules of software development, but running multiple agents across a real codebase creates a coordination challenge that traditional editors and terminals weren’t built to solve. That’s where agentic development environments come in. An agentic development environment (ADE) gives you a dedicated surface for launching, orchestrating, and reviewing the work of several AI coding agents at once.

As businesses increasingly integrate artificial intelligence into their applications and workflows, understanding what happens behind the scenes of these AI systems has become essential. AI-powered chatbots, large language models (LLMs), and autonomous AI agents can process thousands of requests, interact with external applications, and execute complex tasks. However, when something goes wrong, identifying the source of the problem isn’t always straightforward. Was the AI response incorrect?

During an incident, the answers an engineer needs are spread across tools. Telemetry sits in one place, configurations in another, and tickets in a third. Building a complete picture means knowing which tool holds which piece and how to query each one, usually under time pressure. Rosetta is the conversational interface for Selector Foundry, the agentic NetOps platform built on Selector’s existing AIOps and Observability solution.

Organizations may need to keep data in specific regions or infrastructure they control, whether because of data residency requirements, internal policies, or transfer costs. Datadog Bring Your Own Cloud (BYOC) extends the Datadog platform into those environments. Each BYOC deployment runs as a Kubernetes cluster with its own object storage, keeping data close to its source.

The best AI SRE tools to evaluate in 2026 include Sherlocks AI, Resolve AI, Traversal, Cleric, Rootly AI SRE, Komodor Klaudia, Datadog Bits Investigation, and Dynatrace Intelligence. Each addresses a different part of reliability work, from investigating alerts across multiple systems to diagnosing Kubernetes failures or validating production changes. Choosing the right tool starts with a practical question: where does your team lose time during an incident?

The moment your page slows down, two clocks start. One is yours: time to alert, time to investigate, time to fix. The other belongs to the user staring at the slow page. Yours is measured in minutes. Theirs runs out in seconds. That gap is what AI agents close. Zia Agents in OpManager Nexus detects an issue, works out the cause, and runs the fix on its own, often before your users feel a thing. This blog looks at how that changes the experience you deliver.