Detect issues faster, reduce manual triage, improve IT resilience, and optimizeperformance across systems and AI-driven workflows.
Dynamic environments generate high-volume telemetry, creating operationalblind spots.
IBM Observability solutions connects performance, reliability, and risk insightsacross the stack. Combined with automation, it helps teams accelerate detection,investigation, and remediation across applications, infrastructure, and AI and LLM-powered services. The result is greater resilience, less manual toil, and faster meantime to resolve across hybrid cloud and distributed environments.
Automatically map AI / LLM workflows and agents, connecting prompts, outputs, tokens, latency, cost, and errors to full-stack context so teams can troubleshoot AI-driven services faster and control spend.
Identify resilience gaps earlier, connect observability insights to operational risk, and automate remediation workflows to help maintain uptime and close compliance gaps.
Simulate user actions on an application based on factors such as geographic location, network types, different devices and more.
Observability platforms analyze metrics, traces, logs and events from across the IT stack and correlate them to show how systems behave under real conditions. IBM Instana provides automated observability by discovering every service, mapping dependencies, and capturing full fidelity, one second granularity traces, giving teams real time insight into distributed applications without manual setup.
Yes. IBM Instana provides LLM Observability. It provides visibility into GenAI workloads by tracing prompts, model calls, issues, vector searches and downstream dependencies. It collects latency, token usage, cost, and error data - correlating LLM behaviour with infrastructure and application performance across runtimes like vLLM and frameworks such as IBM watsonx.ai®, Amazon Bedrock, OpenAI, Anthropic, Groq, DeepSeek, LangChain, LangGraph, CrewAI and OpenLLMetry-based tooling.
APM measures application performance, while observability connects performance to why systems behave the way they do across services, infrastructure and now AI pipelines. IBM Instana combines both by delivering classic APM capabilities alongside full stack observability, continuous discovery, change detection and distributed tracing in one platform.
Full stack observability gives DevOps teams instant insight into how deployments, configuration updates and dependency shifts impact performance. With Instana, every change event is automatically captured and tied to trace data, making release validation, rollback decisions and incident response significantly faster across CI/CD and GitOps workflows.
Instana delivers precise, real-time telemetry and root cause context across applications, infrastructure and AI components. Concert evaluates this telemetry to prioritize the most impactful issues, recommend next actions and automate runbooks—reducing noise and improving consistency across operations. Together, they create an observability driven workflow where insights flow directly into coordinated, automated remediation.
Observability enhances DevOps productivity by connecting service performance metrics with deploys, code changes, infrastructure behaviour and user impact, enabling faster detection and resolution of issues. Instana provides continuous deep tracing, dependency maps and real time health signals, giving DevOps teams the context they need to diagnose problems quickly and maintain reliable, high-velocity delivery.
Accelerate resolution. Strengthen reliability. Optimize performance.
DevOps teams face mounting pressure to deliver speed despite fragmented tooling and data overload. Manual triage in these dynamic environments is no longer sustainable.
This exclusive guide outlines how AI-powered full-stack observability enables teams to detect, diagnose, and resolve issues before they impact users or SLAs.
Download the guide to learn how to: