30 Ways APM Should Evolve - Part 2
June 24, 2016
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APMdigest asked the top minds in the industry what they feel is the most important way Application Performance Management (APM) tools must evolve. The recommendations on this list provide a rare look into the long-term future of APM technology. Part 2 covers the evolution of the relationship between APM and analytics.

Start with 30 Ways APM Should Evolve - Part 1

6. INTEGRATION WITH ANALYTICS

The future evolution of APM solutions will depend on well chosen integrations — both to inform APM data sets, as well as to enrich to other environments, such as those associated with advanced IT analytics for performance and capacity optimization, IT service management for change management, governance and workflow, and with business analytic capabilities to optimize business and IT service outcomes. APM's real value comes from not trying to be the center of the new world order, but from becoming a central player in enabling advanced service delivery and optimization in the digital age.
Dennis Drogseth
VP of Research, Enterprise Management Associates (EMA)

More than ever, APM tools need to go beyond the application level. In today's world of multi-tier, multi-layer, multi-component distributed systems, performance is determined by so many factors that good tools need to capture a cohesive view of all of them, but at the same time prevent the user from drowning in information overflow. That requires smart and intelligent tools that can identify what matters, not just dumb, data-gathering engines with fancy looking (but otherwise useless) UIs.
Sven Dummer
Senior Director of Product Marketing, Loggly

7. FOCUS ON CHANGE

Traditionally, APM tools are focused on early detection of symptoms of performance and availability issues. The goal is to detect them before they develop into an incident. Such approach is limited as it requires some indicators or patterns of abnormal system behavior. This means that on one hand an issue starts developing while on another, early indicators are frequently very difficult to link to the actual root cause of the issue. It is widely known in the industry that the majority of performance and availability issues are caused by changes. Focusing on analysis of actual changes as a true root cause in addition to early indicators, the APM tools will significantly improve their ability to prevent issues and minimize manual investigation linking symptoms to the root cause triggering them.
Sasha Gilenson
CEO, Evolven

8. CORRELATE LOGS AND METRICS

Application Performance Management (APM) has been around a long time, but the digital transformation that's happening today across industries and organizations of all sizes, is really becoming the key driver for evolution in this space. Traditional APM tools for monitoring provide limited analytics, create siloed views and are inadequate for effectively managing today's modern multi-tier and distributed micro-services based applications. Having real time access to the complete picture dramatically helps businesses of all sizes continuously build, run and secure modern applications. As such, the modern-day APM solution has evolved to require a more comprehensive approach that includes a unified approach for log and metric data — tying together the two most critical sources/KPIs when tracking application performance. With the right technology, correlating log and metrics data is instant, contextual and comprehensive, opening up a rich universe of opportunity that spans the full application lifecycle — from code through the entire CI/CD process/tools to end-user behaviors.
Ramin Sayar
CEO, Sumo Logic

9. INTEGRATED PERFORMANCE AND CAPACITY MANAGEMENT

In the long term, Application Performance Management (APM) tools need to continue their evolution towards becoming integrated performance and capacity management platforms, using advanced analytics to detect performance issues, attribute cause to either problem or demand load, and facilitate repair or infrastructure modifications, respectively. Toward this goal, shorter-term advances should leverage machine learning-based technology to automate the incident detection and attribution functions. Longer term, the adoption of prescriptive analytics combined with Infrastructure as Code (IaC) promises to enable smart, cost-efficient, infrastructure provisioning to accommodate varying or increasing demand.
Mike Paquette
VP, Products, Prelert

10. DATA FROM MULTIPLE SOURCES

APM tools must adapt to the proliferation of monitoring products and general complexity in the average enterprise. Those that can aggregate data from ANY source via a Common Alert Format (whilst stripping out the "noise", de-duplicating, enriching, normalizing) and present this data coherently back the business for more effective correlation of technical issues to business impact shall prevail!
Grant Glading
Sales & Marketing Director, Interlink Software

Read 30 Ways APM Should Evolve - Part 3, covering the expanding scope of APM tools.

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