- Nagraj Seshadri, director
of product marketing, Compuware’s
APM Business Unit, says:
But extracting timely business insights depends in large part on the availability and speed of the big data environment. Big data’s volume, variety and velocity can greatly increase the overall complexity of the application and infrastructure which in turn can impact performance. The reality is that big data applications and environments suffer from many of the performance challenges and bottlenecks that plague current distributed applications, though the volume of performance data can be much larger. This puts ROI from big data projects at risk.
Poorly performing big data applications and environments can impact the business and revenues when customers complain or business analytics are delayed or unavailable. For example, is the issue with a particular Hadoop MapReduce job? Data access or distribution? Bad code? Server or hardware? Network? Or the application itself? Trying to scale away the problem by adding more nodes, clusters or hardware can often be extensive and futile.
Ensuring the performance and availability of big data applications to meet business demands and satisfy end users requires a new generation of application performance management (APM). This approach must offer deep insight into systems in order to optimize compute and data distribution across nodes; assure job execution efficiency; identify I/O bottlenecks and tune CPU and memory consumption amongst thousands of nodes.
To this end, Compuware has announced pricing for the industry’s first deep transaction management solution for optimizing the performance of Apache Hadoop applications. Compuware APM’s dynaTrace Enterprise for Hadoop will be offered starting at just $1,000 per Hadoop Java Virtual Machine (JVM). This solution allows organizations to pinpoint the root causes of MapReduce job issues within minutes instead of days, optimizing Hadoop environments while driving significant cost savings.
, says:
With its patented PurePath Technology®, Compuware APM’s dynaTrace
Enterprise for Hadoop provides unprecedented visibility into Hadoop
applications and supports these highly scalable, elastic environments in
several unique ways:
- Zero-Configuration
Instrumentation:
Out-of-the-box dashboards for 100 percent deep visibility into Hadoop
MapReduce performance, with no code changes required and easy to deploy
and manage;
- One-Click Hotspot Analysis: Faster mean-time-to-resolve
(MTTR) with one-click hotspot analysis of MapReduce jobs, including
long-running and highly distributed jobs. See root cause in minutes
instead of hours or days;
- Automated Performance Analytics: Optimize Hadoop environments and
save costs with deep insight into how MapReduce jobs consume resources,
scale across cluster and automated performance analytics from the
task-level down to individual method execution times;
- Correlated Cluster Health
Monitoring:
Monitor Hadoop cluster overall and down to individual machines as well as
monitor CPU, memory, disk, I/O and garbage collection to detect and
correlate system health to job performance. Proactively fix issues before
they impact SLAs; and
- Automatic MapReduce Error
Correlation With Job, Task and Method level Detail: For faster MTTR than any other
approach in the market.
The market for Hadoop applications is
exploding and Hadoop customers seek a new generation APM approach that goes
beyond point tools. They expect an APM system that’s built for the Hadoop
architecture; supports dynamic, elastic environments out-of-the-box; and is
easy to deploy and use. Additionally, customers need this APM system to be
affordable for the highly scalable Hadoop environments they run. Compuware
APM’s dynaTrace Enterprise for Hadoop, coupled with this new pricing model,
will accelerate the growth of the Hadoop market – making highly optimized,
highly tuned Hadoop implementations much easier to achieve.
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