November 19, 2017

Instana Adds AI-Powered Analysis For AWS Products, Provides Unified Observability And Performance Management Of Hybrid Application Environments

Company to Showcase Next-Generation APM Solution at AWS re:Invent 2017 Highlighting AI and Automation to Provide One Management Platform Delivering Visibility Across Every Application Environment

San Francisco, November 20, 2017 – As part of their presence at AWS re:Invent 2017 next week, Instana today announced the ability for its Artificial Intelligence (AI)-driven application performance management (APM) solution to discover, analyze and monitor Amazon Web Services (AWS). By applying AI-powered analysis, Instana provides customers with comprehensive visibility and performance management across their hybrid application environment, including legacy, containerized and cloud-native services from a single monitoring solution.

Instana’s extended visibility into hybrid application environments includes CloudWatch data, providing contextual intelligence and performance management beyond the isolated CloudWatch dashboard. This improved capability encompasses traditional and modern dynamic applications providing a full stack view as one contiguous environment with the ability to drill down and investigate details in any of the underlying services and infrastructure.

As Instana extends its understanding into the AWS products, it provides:

  • Automatic discovery and incorporation of metrics through CloudWatch of the many AWS products.
  • End to end visibility and tracing of service requests extending into AWS products.
  • The application of neural networks to predict and avoid service impact.
  • Automatic root cause analysis of service degradation, correlating AWS events into Instana Incident Analysis.
  • Automatic ingestion of AWS tags for investigating AWS product performance and optimization opportunities across services and availability zones.

“Our customers are operating hybrid environments made up of traditional, cloud and containerized, microservice applications. DevOps teams need full visibility into the holistic environment to be able to properly manage performance and quality of their business applications,” said Mirko Novakovic, Instana founder and CEO. “We are excited to extend Instana’s mapping, graphing and tracing to include AWS products and give our customers visibility and intelligence across their entire application ecosystem.”

“As organizations shift toward the cloud, they will not abandon their traditional data center and applications immediately. They will build new, more dynamic application architectures using hybrid application environments and leveraging new cloud services. It will be quite challenging to manage the performance and availability across these architectures,” said Bojan Simic, Founder and Chief Analyst at Digital Enterprise Journal. “Instana’s AI-powered APM visualizes the application’s structure across hybrid application environments, old and new, providing the intelligent analysis and performance monitoring required by modern operations teams.”

Continuing to innovate to customers’ needs, Instana is developing capabilities to monitor and understand AWS Lambda, serverless computing functions which allows users to run code without provisioning or managing servers. Leveraging their extensible dependency data model, Instana will invest to enable AI-driven analysis and performance management of Lambda function quality and its impact on overall business processing.

Visit Instana at the AWS re:Invent conference in Las Vegas, NV at booth # 2110.


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Instana, an IBM company, provides an Enterprise Observability Platform with automated application monitoring capabilities to businesses operating complex, modern, cloud-native applications no matter where they reside – on-premises or in public and private clouds, including mobile devices or IBM Z.

Control hybrid modern applications with Instana’s AI-powered discovery of deep contextual dependencies inside hybrid applications. Instana also gives visibility into development pipelines to help enable closed-loop DevOps automation.

This provides actionable feedback needed for clients as they to optimize application performance, enable innovation and mitigate risk, helping Dev+Ops add value and efficiency to software delivery pipelines while meeting their service and business level objectives.

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