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Performances on Amazon AWS - Cloud Day 2012 Xebia
 

Performances on Amazon AWS - Cloud Day 2012 Xebia

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Bhaskar Sunkara, VP Product Experience at AppDynamics, presents "Performance on Amazon AWS". ...

Bhaskar Sunkara, VP Product Experience at AppDynamics, presents "Performance on Amazon AWS".

The video of the presentation is available here : http://vimeo.com/46604224

The Xebia Cloud Day 2012 is a free Cloud Computing conference focused on Java ecosystem.
http://blog.xebia.fr/22-mai-2012-cloud-day-chez-xebia/

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    Performances on Amazon AWS - Cloud Day 2012 Xebia Performances on Amazon AWS - Cloud Day 2012 Xebia Presentation Transcript

    • PERFORMANCE ON AMAZON AWSBHASKAR SUNKARA AND PETER ABRAMS
    • INTRODUCTION•  Founded in April 2008 in San Francisco – Venture Funded•  Founding Principles •  The Move to the cloud presents a new set of challenges •  New world - Constant Change (infrastructure, architecture, code) •  Existing management solutions not designed for constant change •  AppDynamics Value - Enable teams to operate business critical applications in clouds and guarantee service performance•  Working with Netflix since October 2009 •  Oct. 2009 – 150 servers in private data center •  May 2012 – 50 servers in data center, 8,000 servers in EC2 •  AppDynamics is Netflix primary SLA management tool
    • AGENDADifferences between Cloud and PhysicalDatacenterPerformance on AWSCase Study on AWSAppDynamics
    • CLOUD /PHYSICAL DATACENTER T H I N G S H AV E C H A N G E D
    • EVERYTHING IS SHARED •  S3•  Shared/Virtualized Infrastructure •  SQS•  Shared services •  SDB •  EBS •  EMR •  … Shared Services The biggest public cloud !!
    • INFRASTRUCTURE•  Machines come and go•  High rate of change•  Capacity is much cheaper•  Capacity can be both increased and decreased •  In minutes•  Cannot use physical dependencies anymore •  E.g. static IP mapping between services
    • PERFORMANCE MONITORING•  Traditional monitoring : Measure •  CPU and other hardware metrics •  Code metrics – individual methods etc. •  Scrape logs for errors etc. •  Configured by hand•  Cloud Monitoring - Datacenter tools are a big pain ! •  You were measuring CPU metrics for a bunch of machines •  Now those are gone, and the new ones are up •  Who is going to refresh your dashboards? •  Who is going to clean up the dead instance data?
    • GOOD PERFORMANCE ON AWS?(Re)architect your app to• Work on Amazon !• Take advantage of all that it provides• Careful with shared services !Pick the right performance monitoring tools !Lets not forget managing capacity/cost !!
    • APPLICATIONARCHITECTURE
    • APPLICATION ARCHITECTURE •  Distributed •  Service Oriented •  Horizontally Scalable
    • AWS PERFORMANCE FACTSHEET –FROM A HEAVY DUTY USER - NETFLIX
    • IF YOU ARE USING SHARED SERVICES•  Measure service performance in isolation •  Stress test the hell out of shared service calls •  At minimum double of your peak load !•  Look for common patterns out there •  e.g. Simple DB needs a cache frontend•  Avoid badly performing shared services •  EBS?
    • PERFORMANCE MONITORINGE S TA B L I S H A C R I T E R I A T O P I C K T H E R I G H T T O O L S
    • 1.HAS TO BE SERVICE ORIENTED•  Primarily monitor Services not Infrastructure !•  Focus on the application SLAs•  Focus on the end user experience §  Response times Process Service Order §  Load §  Error rates §  Trends
    • 2. HAS TO BE DISTRIBUTED•  Tools need to measure health of tiers•  Measuring individual servers does not make sense•  Services are horizontally scalable ec2-2 ec2-1 ec2-2 ec2-4 ec2-3 ec2-1 ec2-3 ec2-5 You need to know how the cluster/tier performs in terms of average utilization
    • 3. HAS TO KEEP UP WITH RATE OF CHANGE•  Keep up with machines going up/down •  Node are transient•  Provide a clean view of the current state •  Clean up dead instances/services•  Maintain a baseline of how the overall tier does ec2-23 ec2-2 ec2-22 ec2-1 ec2-24 ec2-3
    • 4.CROSS SERVICE TRACING•  Becomes absolutely necessary for truly distributed apps•  Should be able to drill down across services within the context of a single user request•  Should be able to analyze code in every service•  Should be able to point out impact of using shared services
    • CROSS SERVICE TRACING
    • IMPACT OF SHARED SERVICES
    • 5.AUTODISCOVERY/LOW CONFIGURATION MAINTENANCE•  Cannot have configuration based discovery of new instances/services •  Baking into AMIs etc. •  Should auto-discover new tiers/services•  Cannot have code level configuration •  Difficult to maintain with agile development
    • MANAGING COST – CASE STUDY
    • MANAGING COST - EISMANN•  Managing Capacity == Cost•  The cloud isn’t free !•  Eismann •  Frozen food delivery vendor in Germany •  In-production on AWS •  Has variable-capacity based on usage hours •  Use application level SLAs to determine capacity •  E.g. Process Order Volume == capacity of services on AWS
    • WHAT IS APPDYNAMICS?•  Fundamentally built for the Cloud•  Handles constant change of infrastructure•  Service oriented SLA management•  Detailed – actionable information on service performance for engineers, architects and operations•  Zero to low configuration •  No code configuration needed for visibility Did I mention Eismann is fully deployed on AppDynamics and uses us for automatically managing capacity and SLAs !!