AWS re:Invent 2018: Using Performance Insights to Optimize Database Performance (DAT402)

Despite the importance of cloud databases as a core foundation for applications, many businesses face challenges in identifying database performance issues. Visibility into database performance is difficult due to a wide range of incomplete tools that can be difficult to install, configure, and maintain. While these tools may provide a wide range of statistics, they lack a standard methodology for analyzing the statistics to identify performance problems. In this session, learn how Amazon Relational Database Service (Amazon RDS) changes this by providing database performance monitoring that is automatically configured, easy to use, and based on a clear actionable methodology.

AWS re:Invent 2018: [NEW LAUNCH!] Building modern apps using Amazon DynamoDB transactions (DAT374)
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AWS re:Invent 2018: [NEW LAUNCH!] Building modern apps using Amazon DynamoDB transactions (DAT374)

AWS re:Invent 2018: Deep Dive on PostgreSQL Databases on Amazon RDS (DAT324)
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AWS re:Invent 2018: Deep Dive on PostgreSQL Databases on Amazon RDS (DAT324)

How to optimize the performance of Amazon RDS for MySQL | The Data Dive on AWS OnAir S01
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How to optimize the performance of Amazon RDS for MySQL | The Data Dive on AWS OnAir S01

AWS re:Invent 2018: Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336)
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AWS re:Invent 2018: Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336)

AWS re:Invent 2018: Amazon EC2 Instances & Performance Optimization Best Practices (CMP307-R1)
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AWS re:Invent 2018: Amazon EC2 Instances & Performance Optimization Best Practices (CMP307-R1)

Build a Data Platform from scratch (Airflow 3.0, Databricks, Kubernetes)
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Build a Data Platform from scratch (Airflow 3.0, Databricks, Kubernetes)

AWS re:Invent 2025 - Best practices for serverless developers (CNS403)
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AWS re:Invent 2025 - Best practices for serverless developers (CNS403)

AWS re:Invent 2018: [REPEAT] CI/CD for Serverless and Containerized Applications (DEV309-R)
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AWS re:Invent 2018: [REPEAT] CI/CD for Serverless and Containerized Applications (DEV309-R)

AWS re:Invent 2023 - Using Aurora Serverless to simplify manageability and improve costs (DAT331)
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AWS re:Invent 2023 - Using Aurora Serverless to simplify manageability and improve costs (DAT331)

AWS re:Invent 2018: Building with AWS Databases: Match Your Workload to the Right Database (DAT301)
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AWS re:Invent 2018: Building with AWS Databases: Match Your Workload to the Right Database (DAT301)

Complete GitHub Actions Course - From BEGINNER to PRO
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Complete GitHub Actions Course - From BEGINNER to PRO

AWS re:Invent 2025 - Simplify your Kubernetes journey with Amazon EKS Capabilities (CNS378)
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AWS re:Invent 2025 - Simplify your Kubernetes journey with Amazon EKS Capabilities (CNS378)

High availability & disaster recovery using GoldenGate
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High availability & disaster recovery using GoldenGate

AWS re:Invent 2018: Introduction to Amazon CloudWatch Logs Insights (DEV375)
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AWS re:Invent 2018: Introduction to Amazon CloudWatch Logs Insights (DEV375)

AWS Certified Cloud Practitioner Training 2020 - Full Course
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AWS Certified Cloud Practitioner Training 2020 - Full Course

Azure End-To-End Data Engineering Project for Beginners (FREE Account) | API Tutorial
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Azure End-To-End Data Engineering Project for Beginners (FREE Account) | API Tutorial

AWS re:Invent 2021 - Implementing MLOps practices with Amazon SageMaker, featuring Vanguard
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AWS re:Invent 2021 - Implementing MLOps practices with Amazon SageMaker, featuring Vanguard

AWS Storage Explained | EBS vs EFS vs S3 | AWS Training
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AWS Storage Explained | EBS vs EFS vs S3 | AWS Training

AWS re:Invent 2018: Building Serverless Analytics Pipelines with AWS Glue (ANT308)
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AWS re:Invent 2018: Building Serverless Analytics Pipelines with AWS Glue (ANT308)

AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401)
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AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401)