Design, build, and operate workloads on AWS. Learn compute, networking, storage, IAM, databases, containers, serverless, observability, security, and cost control. Follow reference architectures and labs to ship resilient, scalable cloud solutions.
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Learn how to use the AWS SDK for Java SdkWarmUp API to reduce first-request latency by initializing SDK and HTTP client paths during application startup.
Learn how to plan a migration from Amazon DevOps Guru before its 2027 end of support, including replacing anomaly detection, alerts, and investigation workflows with CloudWatch and DevOps Agent.
Learn how AWS CodeDeploy's RESTART deployment mode restarts EC2 and on-premises application fleets using the last successful revision, lifecycle hooks, and deployment monitoring.
Learn how to reduce first-request latency in Java services by initializing and reusing AWS SDK clients, managing connections, and measuring cold-start overhead.
Learn how AWS CodeDeploy RESTART mode restarts EC2 and on-premises applications using the last successful revision, with deployment controls and AWS CLI examples.
Learn how to route completed AI agent investigations to Jira using Amazon EventBridge, AWS Lambda, structured events, validation, and Jira's REST API.
Learn how to use SdkWarmUp in AWS SDK for Java 2.x to initialize selected clients during startup and reduce first-request latency in Java and Spring Boot services.
Learn how to route AWS DevOps Agent events through EventBridge and Lambda to create Jira issues, with guidance on authentication, event filtering, retries, and duplicate handling.
Learn how AWS Lake Formation can enforce identity-aware, row- and column-level access controls for AI agents querying governed enterprise data.
Explains how AWS DevOps agents can investigate incidents and propose approved automated remediation while enforcing least privilege, policy checks, auditability, and risk-based guardrails.
Learn how AWS's Digital Sovereignty Lens helps teams evaluate locality, access, continuity, portability, and auditability in cloud architectures.
Learn how SageMaker HyperPod Spaces bring JupyterLab and Code Editor workflows closer to managed GPU infrastructure for machine learning development and training.
Learn how AWS Lambda SnapStart supports container images to reduce cold-start latency, and how to safely manage initialization state in serverless functions.
Learn how SageMaker HyperPod Spaces integrate with SageMaker Studio to run JupyterLab and Code Editor directly on HyperPod EKS clusters for ML development.
Learn how Amazon S3 Tables supports Apache Iceberg V3, including nanosecond timestamps, variant data, schema evolution, and implications for data lake design.
Learn how AWS Lambda SnapStart reduces cold-start latency for container image functions, supported runtimes, and the considerations for snapshot-based initialization.
Learn how AWS's Digital Sovereignty Lens helps teams assess data residency, operational autonomy, infrastructure control, and key management in cloud architecture reviews.
Explains how Claude Code on Amazon Bedrock in AWS GovCloud supports agentic coding workflows for organizations with security, compliance, and controlled deployment requirements.
Learn how Amazon Aurora DSQL foreign keys enforce referential integrity, reduce application-level validation, and support relational schema design in distributed SQL databases.
Learn how AWS cross-account deployment supports Amazon Bedrock agents and knowledge bases in multi-account environments, including IAM roles and production isolation.
Explains how Amazon SageMaker's AI inference skill lets coding agents invoke model endpoints, inspect responses, and support AI application development workflows.
How to host a app in AWS with private RDS 1.Create VPC (Virtual Private Cloud) VPC gives an isolated network in AWS where subnets, routing and network can have controlled access 2.Create Subnet A subnet is a smaller network segment inside my VPC. Ex- Public Subnet for ALB Private/Application Subnet
Learn how the AWS Well-Architected Agent can identify security, reliability, performance, and cost risks while leaving architecture decisions to engineers.
Learn how Amazon Bedrock Knowledge Bases supports RAG applications with retrieved source metadata and citations using the Retrieve and RetrieveAndGenerate APIs.
Multi-tenant DynamoDB tables create a common operational problem. Imagine one table contains data for hundreds or thousands of customers: Tenant A Tenant B Tenant C ... Tenant 1000 Now one customer asks for a copy of its data. Or a deployment corrupts records for one tenant and the engineering team
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