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Revolutionize DevOps lifecycle with Amazon
CodeCatalyst and DevOps Guru
Vadym Kazulkin, ip.labs, 1 November 2023
Contact
Vadym Kazulkin
ip.labs GmbH Bonn, Germany
Co-Organizer of the Java User Group Bonn
v.kazulkin@gmail.com
@VKazulkin
https://dev.to/vkazulkin
https://github.com/Vadym79/
https://www.linkedin.com/in/vadymkazulkin
https://www.iplabs.de/
ip.labs
https://www.iplabs.de/
DevOps Lifecycle
DevOps Lifecycle
https://www.browserstack.com/guide/devops-lifecycle
DevSecOps Lifecycle
https://www.browserstack.com/guide/devops-lifecycle
Focus on Business Value
Amazon CodeCatalyst
DevOps Lifecycle
https://www.browserstack.com/guide/devops-lifecycle
How CodeCatalyst work
https://aws.amazon.com/codecatalyst/
Create Space
https://codecatalyst.aws/
Create Project
Create Project
Create Serverless RESTful blueprint Project
Create Serverless RESTful blueprint Project
Create Serverless RESTful blueprint Project
Create Serverless RESTful blueprint Project
Create Serverless RESTful blueprint Project
Serverless RESTful Project Code
Serverless RESTful Project Code
Serverless RESTful Project Dev Environment
Serverless RESTful Project Dev Environment
Serverless RESTful Project Dev Environment
Serverless RESTful Project Dev Environment
Serverless RESTful Project CI/CD
Serverless RESTful Project Workflows
Serverless RESTful Project Workflows
Serverless RESTful Project Workflows
Serverless RESTful Project Workflows
Serverless RESTful Project Issues
Serverless RESTful Project Issues
Serverless RESTful Project Reports
Serverless RESTful Project Reports
Serverless RESTful Project Test Coverage
Serverless RESTful Project Code Coverage
Space Plugins
Space GitHub Plugin
DevOps Lifecycle
https://www.browserstack.com/guide/devops-lifecycle
Amazon DevOps Guru
DevOps Lifecycle
https://www.browserstack.com/guide/devops-lifecycle
AIOPs
Artificial Intelligence for IT Operations (AIOps) is the process of using machine
learning techniques to solve operational problems. The goal of AIOps is to
reduce human intervention in the IT operations processes.
By using advanced machine learning techniques, you can reduce operational
incidents and increase service quality. AIOps can help you with:
• Increase service quality
• for example, by grouping related incidents based on time and language
or by predicting Knowledge Base articles to solve an incident
• Predict incidents before they happen
• Classify new incidents and insights
What is AWS DevOps Guru
Amazon DevOps Guru offers a fully managed AIOps platform powered by
machine learning (ML) that is designed to make it easy to improve an
application’s operational performance and availability
DevOps Guru helps detect behaviors that deviate from normal operating
patterns so you can identify operational issues long before they impact
your customers
• increased latency
• error rates (timeouts, throttles, CPU, memory and, disk utilization)
• resource constraints (exceeding AWS account limits)
https://aws.amazon.com/devops-guru
Benefits of DevOps Guru
https://aws.amazon.com/devops-guru
How DevOps Guru work
https://aws.amazon.com/devops-guru
DevOps Guru is powered by pre-trained
ML models
https://aws.amazon.com/blogs/machine-learning/amazon-devops-guru-is-powered-by-pre-trained-ml-models-that-encode-operational-excellence/
• Built domain-specific, single-purpose models to identify known failure
modes instead of normal metric behavior.
• DevOps Guru relies on a large ensemble of detectors—statistical models
tuned to detect common adverse scenarios in a variety of operational
metrics.
• DevOps Guru detectors don’t need to be trained or configured. They
work instantly as long as enough history is available.
• Individual detectors work in preconfigured ensembles to generate anomalies
on some of the most important metrics operators monitor: error rates,
availability, latency, incoming request rates, CPU, memory, and disk utilization,
among others.
DevOps Guru Example Application
https://github.com/Vadym79/DevOpsGuruWorkshopDemo inspired by https://github.com/aws-samples/serverless-java-frameworks-samples
DevOps Guru Set Up
DevOps Guru Dashboard
DevOps Guru Reactive Insights
DevOps Guru: Recognize operational issues
in DynamoDB
DevOps Guru Examples: DynamoDB Throttling
DevOps Guru Examples: DynamoDB Throttling
DevOps Guru Examples: DynamoDB Throttling
DevOps Guru Examples: DynamoDB Throttling
DevOps Guru Examples: DynamoDB Throttling
DevOps Guru Examples: DynamoDB Throttling
DevOps Guru Examples: DynamoDB Throttling
DevOps Guru Examples: DynamoDB Throttling
DevOps Guru Examples: DynamoDB Throttling
DevOps Guru: Recognize operational issues
in API Gateway
DevOps Guru Examples: API Gateway 4XX Error
DevOps Guru: Recognize operational issues
in Lambda
DevOps Guru Examples: Lambda Throttling 1
DevOps Guru Examples: Lambda Increased
Latency
DevOps Guru Proactive Insights
DevOps Guru integration in incident
management tools
https://aws.amazon.com/devops-guru
• AWS OPsCenter (via AWS Systems Manager)
• PagerDuty
• Atlassian Opsgenie
DevOps Guru Supported Services and Pricing
https://aws.amazon.com/de/devops-guru/pricing/
$2,016 per
resource per month
$3,024 per
resource per
month
Revolutionize DevOps lifecycle with Amazon CodeCatalyst and DevOps Guru at DevCon Romania
www.iplabs.de
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