Harness the power of big data to make the most of APM
How analytics can help identify roots causes of application issues that can have a negative effect on users and ultimately your bottom line.
Remember when five minute or 15 minute monitoring was sufficient? Not anymore.
With business outcomes and productivity depending on applications, application and systems performance now need to be measured in seconds not minutes. Metrics are now being collected every 30 seconds instead of every five minutes. This represents a 10-fold increase in data volume.
So what is happening with all of that data?
To make the most of the vast cache of Application Performance Management (APM) data collected, operations need to harness the power of big data and data science. This will make analytics a valuable component of APM solutions.
Join APMExaminer.com chief blogger and analyst Ken Godskind on Thursday, August 7 at 1p.m. EST in this webinar to learn how the big data of APM can supercharge your DevOps transformation.
One of the key challenges for monitoring solutions has been reducing the time it takes to perform problem domain isolation. Most tools are good at showing symptoms, but figuring out whether it’s an issue with software, a server, a network or third party tool can be time consuming, and identifying a fix can’t begin until the root cause has been identified.
Even with mature APM solutions, developer, test and operations teams are strained by operational complexity, accelerated release schedules, and big data challenges to quickly find the root cause of issues affecting end user experience.
It’s time to take some of the load off humans and let technology make it easier to focus on meaningful changes in user, application and system behavior.
For one, it’s automatic. Analytics can sift through vast amounts of data from IT operations, application performance and user experience in near real time. Analytics understand normal behavior at every level of the delivery stack. This makes thresholds unnecessary and somewhat arcane.
Isn’t that what we really want from intelligent monitoring? For it to tell us when something is developing that is not normal?
Analytics understands what normal behavior is. Going far beyond old school thresholds and statistical baselines to multivariate analysis to more accurately understand and learn the relationships of the data. This means more reliable alerting that looks at all of the facets of the metrics.
Analytics sees through the complexity to identify the root cause of developing issues using the power of data science.
Big data powered anomaly detection identifies the root cause of issues in real time. Fast root cause analysis significantly compresses the time to recover from system issues. And these new capabilities will likely shift pressure to the fix, test, deploy part of the recovery process.
Today’s businesses are reinventing themselves around digital experiences as the forces of social, mobile, cloud and big data take the reins with customer engagement. This means user experience has to take center stage for the business and IT. Business tools also need to empower its teams to focus on the meaningful things.
Analytics powered anomaly detection and root cause analysis is a key safety system for your applications and the systems that support them. It’s a safety system for your user experience just like traction control is a safety system on your car.
Now buckle up and let big data power your journey.
Thursday, August 7 at 1p.m. EST
The power of advanced analytics and data science can help us make the most of the vast cache of APM data we collect and help our DevOps teams supercharge user experience. It’s time to take some of the load off of our humans and let technology make it easier to focus on meaningful changes in user, application and system behavior. Analytics are becoming a valuable component of APM solutions to redefine triage, improve application quality, and delight the end-user.
Join APMExaminer.com chief blogger and analyst Ken Godskind in this webinar to learn how the big data of APM can supercharge your DevOps transformation and CA Technologies senior product manager Chris Kline to learn how the advanced behavior analytics capability of CA APM can assist you in this journey.