Instana Introduces APM Solution
November 08, 2017
Share this

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.”

Share this

The Latest

January 19, 2018

Confidence in satisfying and supporting core IT has diminished due in part to a strain on declining IT budgets and initiatives now progressing beyond implementation into production mode, according to TEKsystems' annual IT Forecast research ...

January 18, 2018

Making predictions is always a gamble. But given the way 2017 played out and the way 2018 is shaping up, odds are that certain technology trends will play a significant role in your IT department this year ...

January 17, 2018

With more than one-third of IT Professionals citing "moving faster" as their top goal for 2018, and an overwhelming 99 percent of IT and business decision makers noticing an increasing pace of change in today's connected world, it's clear that speed has become intrinsically linked to business success. For companies looking to compete in the digital economy, this pace of transformation is being driven by their customers and requires speedy software releases, agility through cloud services, and automation ...

January 16, 2018

Looking back on this year, we can see threads of what the future holds in enterprise networking. Specifically, taking a closer look at the biggest news and trends of this year, IT areas where businesses are investing and perspectives from the analyst community, as well as our own experiences, here are five network predictions for the coming year ...

January 12, 2018

As we enter 2018, businesses are busy anticipating what the new year will bring in terms of industry developments, growing trends, and hidden surprises. In 2017, the increased use of automation within testing teams (where Agile development boosted speed of release), led to QA becoming much more embedded within development teams than would have been the case a few years ago. As a result, proper software testing and monitoring assumes ever greater importance. The natural question is – what next? Here are some of the changes we believe will happen within our industry in 2018 ...

January 11, 2018

Application Performance Monitoring (APM) has become a must-have technology for IT organizations. In today’s era of digital transformation, distributed computing and cloud-native services, APM tools enable IT organizations to measure the real experience of users, trace business transactions to identify slowdowns and deliver the code-level visibility needed for optimizing the performance of applications. 2018 will see the requirements and expectations from APM solutions increase in the following ways ...

January 10, 2018

We don't often enough look back at the prior year’s predictions to see if they actually came to fruition. That is the purpose of this analysis. I have picked out a few key areas in APMdigest's 2017 Application Performance Management Predictions, and analyzed which predictions actually came true ...

January 09, 2018

Planning for a new year often includes predicting what’s going to happen. However, we don't often enough look back at the prior year’s predictions to see if they actually came to fruition. That is the purpose of this analysis. I have picked out a few key areas in APMdigest's 2017 Application Performance Management Predictions, and analyzed which predictions actually came true ...

January 08, 2018

The annual list of DevOps Predictions is now a DEVOPSdigest tradition. DevOps experts — analysts and consultants, users and the top vendors — offer predictions on how DevOps and related technologies will evolve and impact business in 2018 ...

January 05, 2018

Industry experts offer predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2018 ...