Compuware APM Unveils Solution to Optimize Hadoop on AWS
January 21, 2014
Share this

Compuware Corporation has released an APM solution for Hadoop on Amazon Elastic MapReduce, (EMR) available now in the AWS Marketplace.

This solution enables organizations to tame big data at scale, enabling customers to gain faster business value at lower cost, and furthers Compuware APM's ability to provide visibility and troubleshooting insight into big data workloads.

Powered by its patented PurePath Technology, Compuware APM profiles Amazon EMR jobs, providing drill-down dashboards that can pinpoint the root cause of failed jobs or performance hotspots with a single click. Operation teams gain full visibility into cluster usage based on users or job types, enabling monitoring of service level agreements (SLAs) and charge-back models to consumers.

By profiling Hadoop jobs in production, operations teams can quickly identify the issues, whether they are misconfigured or unbalanced clusters, poorly-coded workloads or unhealthy hosts. Developers, armed with exact detail shared by operations and QA, no longer have to guess at the performance of their code when running at massive scale.

"Compuware APM combined with the AWS cloud provides customers with the technical capabilities they need to allow them to focus on their business," said Terry Hanold, VP, Cloud Commerce, AWS. "We're excited to welcome Compuware into the AWS Marketplace, where customers will be able to now gain the advantage of Compuware APM for Amazon EMR."

Features and capabilities of Compuware APM solution with Amazon EMR include:

- Profiling Hadoop jobs in production clusters to see which teams are utilizing the cluster and exactly why, to code level, a job takes minutes or hours to run.

- Automatically identifying performance hotspots in Amazon EMR, such as whether the problem is due to a poor configuration, over-utilized or failed infrastructure, or inefficient code.

- Eliminating the need to scour log files by identifying the root cause of a job failure in one click. Exceptions, stack traces and logged data are automatically identified by PurePath Technology, showing both where and why failures occur. Deep facts can be easily shared with development to quickly fix issues.

"Compuware APM makes application performance management for big data both simple and straightforward across the lifecycle from development to test to production," said Steve Tack, VP of Product Management for Compuware's APM business unit. "To help customers grappling with this maturing technology where expertise is scarce, Compuware APM for Amazon EMR adds visibility and helps organizations better manage their big data workloads and transactions, enabling them to leap ahead in the analytics race."

Share this

The Latest

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...

November 14, 2024

Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...

November 13, 2024

AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...

November 12, 2024

If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...

November 05, 2024

The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...

November 04, 2024

Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...

November 01, 2024

Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...