5 Success Factors for True AWS Application …...Cloud adoption momentum increases • Which...

5 Success Factors for True AWS Application Intelligence

Tarik MustaficSales EngineerAppDynamics

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Notice


Cloud adoption momentum increases• Which applications to migrate?

• How should these be migrated?

• How do I understand the customer and business impact of moving?

Cloud Computing

Nutzer Planer und Diskutierer ist keinThema


On-premisesmonolithic apps

Cloud adoption journey

Re-hosted apps Re-platformed apps Re-architected apps

Traditionalists Pragmatists Transformationalists Optimized

Release Frequency

Silos to DevOps






Release Frequency

Silos to DevOps


The customer experience is simplifying. But application complexity is exploding.

More distributed

More dependencies

Faster cycles

Dynamic


#1. Avoid the siloed tools


Siloed tools solve siloed problemsYou need a holistic view across the entire landscape

Infrastructure Nodes

Database

Applications

Kubernetes

LogsContainers

Device


Both IT and the Business face Challenges

Which customers are affected?

The War Room

Checking the logs

Conversion rates are dropping

Spend is down

CloudWatch ?X-Ray ? APM ?

Databaselooks fine

This app is horrible!Right now

RETWEETS LIKES

140 1053


Use cases:

IDG 2018 Cloud Computing Survey

3. End User Monitoring

5. CloudWatch Integration

1. Application Monitoring 4. Infrastructure Monitoring

2. Business Performance


#2. Have end-to-end visibility


Horizontal visibility

Portfolio discovery and planning requires an accurate understanding of your apps


Node 5: Running out of diskPod 6: DB replication consumes CPU

In-depth visibility

Cut cascading alerts by automatically and proactively identifying the root cause of any performance event using machine learning algorithms.


Use cases:

1. Visibility Across Canary Releases

2. Cloud Migration

3. Trace AWS Lambda Flow

4. K8/Docker Visibility


#3. Understand resourceutilization requirements


Make accurate resource decisions

Cut cascading alerts by automatically and proactively identifying the root cause of any performance event using machine learning algorithms.


Use cases:

1. Right Size Cloud Migration

2. Idle Resource Isolation

3. Monitor AWS Lambda Free Tier

4. Monitor AWS Spend


#4. Prove business value of the new release


Validate - have a single source of truth

• Easily compare pre and post move baselines from a technical and business perspective to support ongoing optimization.


• Validate functionality and intelligently trigger scaling to maintain performance.

Validate - understand the user experience


1. Validate Cloud Migration

3. Track Business Outcomes

2. Release Validation

Use cases:


Demo time


#5. Ensure your monitoring approach evolves as your stack changes


AppDynamics for Kubernetes

• Docker and Kubernetes as first class citizens

• Filter and search by Pod, Version, Namespace or other Kubernetes label

• Tagged Metrics show key APM metrics partitioned by Kubernetes deployment

• View full container metrics and resource usage for Docker and Kubernetes

.


• Trace end-to-end AWS Lambda flow

• Visibility into AWS Lambda function

• Monitor vitals

AppDynamics forAWS Lambda


Come to booth and find out more

• Accelerate AWS Migration and Adoption

• Why APM Matters in AWS Lambda

• Demystify DevOps with AppDynamics

AppDynamics is a Cisco company. Visit the Cisco booth as well!


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5 Success Factors for True AWS Application …...Cloud adoption momentum increases • Which...

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