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€ 1.960,–
zzgl. MwSt.
€ 2.332,40
inkl. MwSt.
Buchungsnummer
33815
Veranstaltungsort
Online
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2 Events
€ 1.960,–
zzgl. MwSt.
€ 2.332,40
inkl. MwSt.
Buchungsnummer
33815
Veranstaltungsort
Online
2 Events
zzgl. MwSt.
inkl. MwSt.
Buchungsnummer
Veranstaltungsort
0 Events
Werde zertifizierter
Machine Lerning Engineer
Machine Lerning Engineer
Dieser Kurs ist Bestandteil der zertifizierten Master Class "Machine Learning Engineer". Bei Buchung der gesamten Master Class sparst du über 15 Prozent im Vergleich zur Buchung dieses einzelnen Moduls.
Zur Master Class
Inhouse Training
Firmeninterne Weiterbildung nur für eure Mitarbeiter:innen - exklusiv und wirkungsvoll.
Anfragen
In Kooperation mit
This course is for individuals who seek an understanding of how to manage, optimize, and predict costs as you run workloads on AWS.
Content
You will learn how to implement architectural best practices, explore cost optimization strategies, and design patterns while developing cost-efficient solutions on AWS.
Module 1: Introduction to Cloud Financial Management
- Introduction to Cloud Financial Management
- Four pillars of Cloud Financial Management
Module 2: Resource Tagging
- Tagging resources
- Hands-On Lab: Cost optimization: Control Resource Consumption Using Tagging and AWS Config
Module 3: Pricing and Cost
- Fundamentals of pricing
- AWS Free Tier
- Volume discounts
- Savings plans and Reserved Instances
- Demonstration: AWS Pricing Calculator
Module 4: AWS Billing, Reporting, and Monitoring
- Understanding AWS invoices
- Reporting and planning
- AWS Cost Explorer
- AWS Budgets
- Demonstration: AWS Billing Console
- Demonstration: AWS Cost Explorer
- Demonstration: Trusted Advisor
- Hands-On Lab: Cost optimization: Deploy Ephemeral Environments Using Amazon EC2 Auto Scaling
- AWS Cloud Financial Management for Builders
- AWS Classroom Training
Module 5: Architecting for Cost: Compute
- Evolution of compute efficiency
- Amazon EC2 right-sizing
- Purchasing options
- Amazon CloudWatch monitoring and automation
- Architect for Amazon EC2 Spot Instance
- Automate the infrastructure provision
- Manage capacity to optimize resource usage
- Impact of software licensing
- Serverless solutions to reduce costs
- Demonstration: Compute Optimizer
- Demonstration: Spot Instance Advisor
- Hands-On Lab: Cost optimization: Right Size Amazon EC2 Instances Using Amazon CloudWatch Metrics
Module 6: Architecting for Cost: Networking
- Data transfer costs
- Understand data costs for different services
- How to triage network costs
- Hands-On Lab: Cost optimization: Reduce Data Transfer Costs Using Amazon CloudFront and Endpoints
- AWS Cloud Financial Management for Builders
- AWS Classroom Training
Module 7: Architecting for Cost: Storage
- Amazon EBS cost, pricing, and best practices
- Amazon S3 cost, pricing, and best practices
- Amazon EFS cost, pricing, and best practices
- Hands-On Lab: Cost optimization: Reduce Storage Costs Using Amazon S3 Lifecycle Management
Module 8: Architecting for Cost: Databases
- Amazon RDS cost, pricing, and best practices
- Amazon Aurora cost, pricing, and best practices
- Amazon DynamoDB cost, pricing, and best practices
- Amazon ElastiCache cost, pricing, and best practices
- Amazon Redshift cost, pricing, and best practices
Module 9: Cost Governance
- Setting up AWS Organizations
- AWS Systems Manager
Module 10: Course Summary
- Course review
- Hands-On Lab: Cost optimization: Reduce Compute Costs Using AWS Instance Scheduler
Benefits
- Explaining the cost of core AWS services
- Determining and predicting costs associated with current and future cloud workloads
- Using strategies and best practices to reduce AWS costs
- Using AWS tools to manage, monitor, alert, and optimize your AWS costs
- Applying strategies to monitor service costs and usage
- Implementing governance standards, including resource tagging, account structure, provisioning, permissions, and access
Instructor
Wafi Dahman
Vladimir Sabo
Henrique Alves
Methods
This course includes instructor lecture, presentations, hands-on labs, demonstrations, and group exercises/discussions.
Who should attend
This course is intended for the following job roles:
- Solution Architect
- CloudOps
- DevOps
- Financial Builder
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