What is Instana?
It is the Application Performance Management solution for modern dynamic applications, using automation and AI to manage their service quality.
Instana is a tool in the Performance Monitoring category of a tech stack.
Instana is an open source tool with GitHub stars and GitHub forks. Here’s a link to Instana's open source repository on GitHub
Who uses Instana?
16 companies reportedly use Instana in their tech stacks, including Craftbase, immowelt Hamburg GmbH, and Sixt.
48 developers on StackShare have stated that they use Instana.
Python, Node.js, Docker, PHP, and Amazon RDS are some of the popular tools that integrate with Instana. Here's a list of all 9 tools that integrate with Instana.
Pros of Instana
Easy to integrate
Insight into RCA
Simple query interface
- Full integration into the Instana Dynamic Graph
- Relevant metric collection
- Fully AI enabled behavioral learning
- Traces generated for EVERY request
Instana Alternatives & Comparisons
What are some alternatives to Instana?
See all alternatives
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data
It diagnoses anomalies and slowdowns, spanning mobile, monoliths, and micro services: best-in-class observability, at scale, for modern applications.