Instana introduced the company’s next-generation Application Performance Management (APM) solution that automatically monitors and manages today’s dynamic microservice applications running in containers.
Designed from its inception to address the needs of monitoring today’s modern dynamic application environments, Instana APM applies to both automation and Artificial Intelligence (AI) across the DevOps lifecycle and fully automates all aspects of APM.
Instana’s solution provides real-time visibility into the broad range of technologies that make up today’s microservices applications, including code-level visibility for nine different programming languages. The result is a comprehensive understanding of the application technology stack for the least amount of effort so that DevOps can handle dynamic environments.
Mirko Novakovic, Instana founder and CEO, said: “Instana can pinpoint the difference between ‘noisy’ IT events and those that have the potential to negatively impact service quality – and Instana goes beyond that by providing precise, AI-Powered root cause analysis.”
Instana’s AI powered, real-time application performance monitoring and management solution provides:
- Automatic, Continuous Discovery & Mapping: Zero configuration, continuous and automatic discovery of components, architecture and dependencies of the application’s full technical stack as well as the request patterns, or map, of the distributed services.
- Precise, High Fidelity Visibility: Accurate data collection with metric data streaming at one-second granularity, and capturing every request through the application in a Trace which is then used as the source for AI training and as the basis for providing deep visibility into microservices applications.
- Full Stack Application Data Model: An automatically populated model of the discovered application’s physical and logical dependencies empowering Instana to leverage the powerful capabilities of AI.
- Cloud, Container & Microservice Native: Instana was designed in the cloud era, for the cloud era and, as such, requires no configuration to align with the infrastructure, clouds, containers, orchestrators, middleware and languages to keep pace with today’s dynamic microservice applications.
- Real-time AI-Driven Incident Prediction & Analysis: Leveraging real-time AI to detect and predict anomalies and identify constraints, Instana reduces the number of alerts to only the critical ones identifying incidents before they occur, thereby giving Ops teams a head start on solving problems.
- AI-Powered Problem Resolution and Troubleshooting Assistance: The complexity of modern applications has made them far too complex to be effectively managed by humans. As a result, being able to leverage the power of AI to understand and predict the behavior and performance of modern applications and their microservices has become critical. By leveraging AI as part of the incident management process, it is now possible to identify root causes and address problems before the occur.
“Containers and immutable infrastructure make it extremely difficult for DevOps to determine the root cause of problem in dynamic microservice applications since the topology is always changing,” said Stephen Hendrick, Research Director for Application Development and Management at Enterprise Management Associates. “Instana’s real-time mapping of application components and dependencies goes a long way to provide the visibility needed to evaluate and analyze today’s ever-changing apps.”
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