velocity presentation - unified monitoring with appdynamics
Post on 27-Jul-2015
260 Views
Preview:
TRANSCRIPT
Unified Monitoring with AppDynamics
Dus$n Whi*le
@AppDynamics
52% of Fortune 500 firms
since 2000 are gone
Login
Flight Status
Search Flight
Purchase
Mobile
Big data
SOA
NOSQL
Cloud
Agile
Web
Application complexity is exploding
Up7me is cri7cal for enterprises and consumers
Performance impacts the bo=om line
How fast is fast enough?§ Performance is key to a great user experience
-‐ Under 100ms is perceived as reac$ng instantaneously
-‐ A 100ms to 300ms delay is percep$ble
-‐ 1 second is about the limit for the user's flow of thought to stay uninterrupted
-‐ Users expect a site to load in 2 seconds
-‐ ADer 3 seconds, 40% will abandon your site.
-‐ 10 seconds is about the limit for keeping the user's a*en$on
§ Modern applica7ons spend more 7me in the browser than on the server-‐side
Who cares about performance?
How many enterprise monitoring products would you es7mate your IT org owns?
The war room response team
The problems with monitoring tools§ Root cause isola7on is elusive as monitoring lives in silos
-‐ Infrastructure -‐ Hardware + Logs + Network + Storage + Containers + VMs
-‐ Applica$on -‐ Load Balancers + Web Servers + App Servers + File Servers -‐ Databases + Caches + Queues + Third party services
-‐ End Users
-‐ CDN
-‐ Web + Mobile
§ Metrics lack the context of impact
Monitoring lacks the business context
The struggle of modern monitoring§ Organiza7ons focus on availability + raw metrics and not end user experience / impact
§ Complex apps built on micro-‐services in containers living in elas7c cloud environments
§ Too many graphs from too many metrics
-‐ Understanding the signal from the noise is difficult
-‐ No topology awareness. No transac$onal visibility. No root cause.
§ Alert storming with too many false alarms
-‐ Aler$ng is based on sta$c thresholds — lacks intelligent anomaly detec$on + correla$on
-‐ Lack of historical context or rela$onships between metrics and events
§ A single pane of glass across the performance stakeholders
-‐ Not able to quan$fy the impact of performance degrada$on — Not self-‐service
Context is king: Unified Monitoring
Breaking down the silos
Situa7on-‐aware data and views
Web Ops App Owner
Server Admin DBA
IT Ops
Monitor the end user experience§ Real User Monitoring vs Synthe7c Monitoring
-‐ Synthe$c tests provide 24/7 assurance
-‐ RUM provides insights into actual users -‐ Mobile device segmenta$on -‐ Unexpected behavior/trends
§ Real User Monitoring
-‐ Naviga$on Timing API
-‐ Resource Timing API
-‐ User Timing API
-‐ Javascript Errors
Metrics + logs help, but intelligence is be=er
Moving from reac7ve to proac7ve§ Resolving before the red = fixing in the yellow
-‐ Automa$c runbook automa$on integrates with your devops stack
§ Intelligent anomaly detec7on across end-‐user, applica7on, database, server metrics
-‐ Automa$cally calculates dynamic baselines for all of your metrics, which, based on actual usage, define what is "normal" for each metric
-‐ Smart aler$ng based on any devia$on from the baselines
§ Understand trends and pa=erns in failures -‐ automa7cally learn from the past
-‐ Understand what are the most impacaul issues to resolve
-‐ Ocen $mes external services are the root cause with limited visibility -‐ Enforce SLAs
Moving from reac7ve to proac7ve-‐ Automa7c discovery of environment and applica7on changes
-‐ New APIs, transac$ons, services, clouds
§ Leverage analy7cs to be smarter about using the data you already have
-‐ System Logs, Metrics from events and infrastructure stats
-‐ Transac$ons with request parameters + User state from cookies/sessions
§ Performance monitoring isn’t just about the tech
-‐ Visibility into the impact of business -‐ aler$ng when revenue is down
AppDynamics leverages and embraces open-‐source
Leading companies invest in performance§ Etsy = Kale = Statsd + Skyline + Oculus (stats collec$on + anomaly detec$on/correla$on)
§ Nealix = PCP + Vector + Servo + Atlas (dashboards, data collec$on, root cause analysis)
§ Twi*er = Zipkin (distributed tracing)
Recommenda7ons§ Treat performance as a feature
-‐ Create a performance budget with milestones, speed index, page speed
-‐ Capacity plan and load test the server-‐side
-‐ Op$mize and performance test the client-‐side
§ Monitor performance in development and produc7on
-‐ Instrument everything
-‐ Measure the difference of every change
-‐ Understand how failures impact performance
§ Make monitoring cri7cal and test in your con7nuous delivery process
§ Connect the exec/dev/ops performance perspec7ves to align on business impact
Go back and inves7gate how your company can break down the monitoring silos and be more impac]ul with applica7on intelligence.
Ques7ons?
Thank you! Enjoy the rest of Velocity 2015.
top related