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Technical deep dive into Amazon EBS performance, covering volume types (gp3, io2, st1, sc1), IOPS and throughput tuning, multi-attach, snapshots, and instrumenting workloads to identify and resolve storage bottlenecks.

Introduction to Amazon EC2 Auto Scaling, including launch templates, scaling policies, lifecycle hooks, and health checks. Demonstrates how to maintain application availability while matching capacity to demand across multiple Availability Zones.

Focuses on automating EC2 provisioning and configuration using AWS CloudFormation, EC2 Image Builder, Systems Manager, and Auto Scaling. Demonstrates infrastructure-as-code patterns for repeatable, scalable compute deployments.

Troubleshooting guide for Windows-based EC2 instances. Covers boot failures, Sysprep and AMI issues, RDP connectivity, EC2Launch and SSM agent diagnostics, and password retrieval.

Overview of Amazon EC2 instance attestation, powered by NitroTPM and Attestable AMIs. Covers how attestation documents prove that an instance is running approved software and how to use them with AWS KMS for cryptographic policy enforcement.

Introduction to Amazon EC2 P6-B300 instances, accelerated by NVIDIA Blackwell Ultra GPUs. Covers the instance specifications, networking and memory improvements over P6-B200, and target workloads in large-scale AI training and inference.

Introduction to AWS Inferentia and Amazon EC2 Inf1 instances for cost-effective machine learning inference. Covers chip architecture, the Neuron SDK, and migration patterns from GPU-based inference deployments.

Walkthrough of using AWS Mainframe Modernization with the Micro Focus packaged deployment to replatform mainframe workloads onto Amazon EC2. Covers environment setup, application deployment, and operational considerations.

Foundational overview of Amazon Elastic Compute Cloud (EC2), covering instance types and families, AMIs, key pairs, security groups, and EBS storage. Designed for newcomers to AWS compute.

Hands-on introduction to launching and managing Amazon EC2 instances, including selecting an AMI, configuring networking and storage, connecting via SSH or RDP, and applying basic security best practices.

Covers monitoring and troubleshooting Amazon EC2 workloads using CloudWatch metrics and Logs, the CloudWatch agent, EC2 instance status checks, and Systems Manager. Includes common failure scenarios and root-cause investigation patterns.

Overview of recent innovations in Amazon EC2, including new instance families, AWS Graviton processors, Nitro System enhancements, and capabilities like EC2 Capacity Manager and EC2 instance attestation.

Introduction to Amazon EC2 P6e-GB300 UltraServers, accelerated by NVIDIA GB300 NVL72. Covers the UltraServer architecture, near-20TB GPU memory footprint, and use cases for trillion-parameter model training and inference.

Introduction to Amazon EC2 Capacity Manager, which provides cross-account, cross-Region visibility into On-Demand, Spot, and Capacity Reservation usage. Covers metrics, dashboards, and exporting capacity data for long-term analysis.

Foundational coverage of Amazon EC2 Auto Scaling, including Auto Scaling groups, launch templates, scaling policies, lifecycle hooks, and using health checks to maintain desired capacity automatically.

Practical guidance for rightsizing Amazon EC2 workloads using Compute Optimizer, CloudWatch metrics, and Cost Explorer. Covers selecting instance families and sizes that match real utilization patterns to reduce cost.

Introduction to AWS Auto Scaling, the unified service for scaling EC2, ECS, DynamoDB, Aurora, and other resources. Covers scaling plans, target tracking, and how Auto Scaling differs from EC2 Auto Scaling.
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