modern apm approaches

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Modern APM Approaches Ken Ahrens

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Modern APM Approaches

Ken Ahrens

Agenda

• Infrastructure Monitoring

• History of APM

• Synthetics

• Logging

• Backend APM

• End-User Monitoring

Infrastructure Monitoring

• Bottom-up focus

– Servers, Network, Storage

– Network Packet Analysis

• Alert on thresholds

– Event management and correlation

Cloud breaks this paradigm

Commercial

• CA Service Assurance

• HP OpenView

• IBM Tivoli

• Microsoft SCOM

• SolarWinds

• What’s Up Gold

Open Source

• Ganglia

• Munin

• Nagios

• top

• Zabbix

• Zenoss

Brief History of APM

• Manually ARM your code

• Top-down approach

– Application Components/Map

– Transaction Traces – Timers, Errors

• DevOps – Identify impact of a release

Cross-Infrastructure

Synthetics

• Check website continuously

– Availability

• HTTP 200?

• At 3AM, is the site running?

– Performance

• From POP (points of presence) around the world

• Consistent performance baseline

Logging

• Log everything and sort it out later– Easily configure log level and data

– Concerns about overhead

– Track GUID across multiple servers

• Vendors: Splunk, Loggly, Loglitics, etc.

• Open Source: log4j, Elastic Search, etc.

Disk I/O can be a true bottleneck

Backend Monitoring

• Instrument server-side code– Measure component performance

– Relate errors to application function

– Track backend calls to DB, APIs, etc.

– Profiler-like abilities in production

• Languages:

Easier Than Ever!

Browser Monitoring

• Instrument browser code– Page timings and errors

– Classify users by browser & geo

– Track AJAX calls

– Browser “developer mode” in production

• Languages: JavaScript

The Final Frontier of APM

Native Mobile Monitoring

• Instrument native mobile app

– Track crashes and bread crumbs

– Measure interaction performance

– Identify HTTP calls leaving the device

• Languages: Android, iOS, Windows

Blind Spot?

Software Analytics

• Consolidate events from everywhere

• Enrich with business context

• Make data-driven decisions

• Focus on real-time

• Solutions: Big Data Analytics, BI