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IBM Instana | Plorik

IBM Instana dashboard and user interface - AI-powered automated observability and application performance monitoring platform.

As of 2026

IBM Instana

Business & Operations

Revenue: $10M-100M ARR

AI-powered automated observability and application performance monitoring platform.

Overview

IBM Instana is an enterprise-grade observability platform designed to monitor microservices and containerized applications in real-time. It provides automated discovery, distributed tracing, and root cause analysis across full-stack infrastructure. With high-granularity, 1-second metrics and AI-driven insights, it enables IT teams to troubleshoot complex cloud-native environments, minimize downtime, and ensure optimal performance for mobile, web, and backend applications.

Founded year: 2015

Founder: Mirko Novakovic, Pete Abrams, Fabian Lange, Pavlo Baron

Team size: 100+

Popularity: Used by 400+ enterprise clients

HQ: Armonk, New York, USA

Status: Active

Funding status: Acquired

Customer type: B2B

Pricing: Subscription

Tech stack: AI/ML, Microservices, Kubernetes, Cloud-native monitoring, REST API

Platform: Web

Integrations: OpenTelemetry, Grafana, Prometheus, AWS, Google Cloud, Azure, Red Hat OpenShift, Kubernetes, IBM Turbonomic, IBM Watson AIOps

What it does

Automates the discovery and monitoring of over 200 technologies, including cloud infrastructure, containers, and serverless architectures.
Provides end-to-end distributed tracing without sampling, capturing 100% of transactions to identify performance bottlenecks and errors in real-time.
Uses AI and machine learning to automate root cause analysis by correlating events and performance anomalies across the application stack.
Offers seamless integration with AIOps and automation tools like IBM Turbonomic to enable intelligent issue prevention and remediation.
Delivers real-time observability for hybrid-cloud and on-premises environments with high-granularity 1-second metrics.

Who it's for

DevOps and SRE Teams
IT Operations Managers
Application Developers
Enterprise Architects

Why it works

Full-stack automated discovery eliminates the need for manual configuration and ensures visibility into dynamic, changing cloud environments.
100% trace capture without sampling ensures that no performance issue goes unnoticed, even in high-volume traffic scenarios.
AI-driven event correlation significantly reduces 'alert fatigue' by aggregating multiple related issues into a single, actionable incident report.
Flexible deployment models allow enterprises to maintain strict data residency and compliance by choosing between managed SaaS or self-hosted options.
Deep integration with the broader IBM ecosystem, including Watson AIOps and Turbonomic, provides a comprehensive path to automated system optimization.

Founder story

Instana was founded in April 2015 by Mirko Novakovic, Pete Abrams, Fabian Lange, and Pavlo Baron as a spin-off from the German software firm Codecentric. It was built specifically to solve the observability challenges of microservices architectures. IBM acquired the company in late 2020 to bolster its AI-powered automation and hybrid cloud strategy.

Alternatives

Comparison overview

IBM Instana is distinct for its 100% trace capture without sampling and its AI-driven automated discovery, whereas alternatives like Datadog or Dynatrace often rely on sampling methods for high-scale environments and require more manual setup or configuration.

Social links

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