GAUTAM VINAY S’ Post

Day 16: Amazon RDS: Database service 🌐 Amazon RDS (Relational Database Service) is a managed service that simplifies the setup, operation, and scaling of relational databases. 🌐Supports several database engines like MySQL, PostgreSQL, SQL Server, etc. 🌐Provides automated backups, monitoring, and patching, reducing administrative overhead. 🌐Easily scale compute and storage resources to match application needs. 🌐Use AWS Management Console, CLI, or SDKs to create and manage RDS instances. 🌐Choose database engine, instance type, storage, and other configurations. 🌐Access database using standard SQL clients or tools. 🌐Monitor performance metrics and set up alarms for proactive management. 🌐Easily scale up or down to handle changes in workload. 🌐Benefit from high availability and reliability features offered by AWS. 🌐Suitable for a wide range of applications, from small projects to enterprise-level systems. #cloudwithexlearn #cloudtraining #45daysofcloud Exlearn Technologies Prashant Gavate

Boost Your Database Performance with Amazon RDS! What is RDS? RDS stands for Relational Database Service, a fully managed database service that supports various SQL engines, including: · Postgres · MySql · MariaDB · Oracle · Microsoft Sql Server · IBM Db2 · Aurora (AWS proprietary Database) Advantages of using RDS versus Deploying it on Ec2 instance · AWS managed DB service: No more worrying about provisioning, OS patching, backups, and upgrades! · Automated backups and restore: Continuous backups and restore to specific time points · Monitoring dashboards: Keep an eye on performance and optimize as needed · Read replicas for improved performance: Scale read-heavy workloads with ease · Multi-AZ setup for disaster recovery: Ensure high availability and reduce risk · Maintenance windows for upgrades: Schedule upgrades during downtime · Vertical and horizontal scaling capability: Scale up or out as needed · Storage backed by EBS: Access RDS Storage Auto Scaling to increase storage dynamically RDS detects running out of storage? No problem! RDS automatically scales storage, so you don't have to worry about running out of space. #AmazonRDS #DatabasePerformance #AWS #CloudComputing #RelationalDatabase #SQL #DatabaseManagement

AWS Customers can now use read replicas with a Single-AZ database instance, whereas previously database instances were required to be in the Multi-AZ configuration. Read replicas asynchronously replicate the database between the source database instance and the replica. This enhances availability and durability without compromising performance when Multi-AZ is not needed.

Step-by-step instructions on how to migrate an AWS RDS for MySQL to #HeatWave MySQL database with minimal downtime: https://lnkd.in/eKkF74QF

📢 Exciting news for SQL Server users on Amazon RDS using AWS DMS for Change Data Capture! 🎉 AWS has just announced a game-changing integration between Amazon RDS for SQL Server and AWS Database Migration Service (DMS). This highly anticipated feature allows for continuous replication with access to transaction log backups. 🚀 Key benefits: ✅ Access to transaction log backups for DMS task to process. ✅ Enhanced reliability in data replication processes. This integration addresses a long-standing feature in RDS SQL Server environments, offering a more efficient and streamlined approach for AWS DMS to read changes if they are not available in active transaction log. 🔍 How it works: 1. RDS for SQL Server automatically uploads transaction log backups to Amazon S3 2. AWS DMS task if required, can directly request these tlog backups for change data capture 🌟 Best part? It's available now across multiple AWS regions! Are you excited about this new capability? How do you see it impacting your data management strategies? Share your thoughts below! 👇 #AWSNews #SQLServer #DatabaseMigration #CloudComputing #DataReplication #TechInnovation #AmazonRDS #AWSDMS #RDSSQLServer https://lnkd.in/gZhHXV_n

Amazon RDS Multi-AZ DB Clusters now support C6gd - a new database instance type. C6gd is an ideal candidate for cost optimizing dev/test workloads on RDS Multi-AZ DB Clusters. Read our announcement for more details #rds #performance #availability #multi_az_db_cluster

GCP Cloud SQL to AWS RDS Migration steps Migration Steps In this discussion, we will be a MySQL database instance from Google CloudSQL to AWS RDS using Database Migration Service (DMS).    The general overview of the migration steps: 1. Setting the Environment for GCP and AWS 2. Creating a MySQL RDS DB Instance 3. Connecting to MySQL Database on RDS 4. Creating a CloudSQL Instance 5. Adding a Route for CloudSQL DB Instance IP Address to the VPC Route Table 6. Creating a DMS Replication Instance 7. Adding a Network for Replication Instance Connectivity to CloudSQL DB Instance 8. Creating Database Replication Endpoints 9. Creating a Replication Task 10. Running the Replication Task 11. Exploring the Migrated Tables 12. Exploring the CloudWatch Logs 13. Data Validation through MySQLWorkbench

AWS RDS and AWS Elastic Beanstalk: Simplifying Database Management and Application Deployment.....

Optimize SQL Server Licensing with AWS Compute Optimizer | Microsoft on AWS Cost Optimization In this video, @Philip Smith Smith, a solution architect with AWS, explains how to leverage AWS Compute Optimizer to deliver actionable recommendations to optimize SQL server licensing costs. Here's a review of the video with a FinOps perspective Value proposition: AWS Compute Optimizer helps you save money on SQL Server licensing by identifying opportunities to downgrade from the Enterprise Edition to the Standard Edition. Key features: Analyzes SQL Server features in use to determine if Enterprise Edition specific features are being used. Provides recommendations to downgrade to Standard Edition if no Enterprise Edition specific features are used. Shows the pricing difference between Enterprise and Standard Editions. Requirements to receive licensing recommendations: Opting into the Compute Optimizer service. Enabling CloudWatch Application Insights with the SQL account. Attaching the required instance RO with policies to the instance. Having a SQL account with viewer server State and view any definition permissions. Steps to opt-in to the Compute Optimizer service and onboard SQL servers: Go to the AWS console and choose Compute Optimizer. Click on the button to get started. Review the opt-in preferences and click opt-in. From the console home, click on AWS Compute Optimizer and go to the widget for licenses. Click on an instance that has not been onboarded. Create a secret by entering the SQL Server credentials. Confirm that the instance role and the policy is attached. Click the button that says enable license recommendations. Overall, this video is a valuable resource for anyone who is looking to optimize their SQL Server licensing costs on AWS. By following the steps outlined in the video, you can identify opportunities to downgrade to the Standard Edition and save money. Here are some additional points to consider from a FinOps perspective: It is important to carefully review the recommendations from AWS Compute Optimizer before downgrading your SQL Server Edition. You will want to make sure that you are not using any features that are only available in the Enterprise Edition. Downgrading your SQL Server Edition may require some downtime. You will need to factor this downtime into your decision-making process. AWS Compute Optimizer is just one tool that you can use to optimize your SQL Server licensing costs. You should also consider other factors, such as your workload requirements and your organization's risk tolerance. #FinOps #AWS #Microsoft

🌐 What is Amazon Aurora? 🚀 Amazon Aurora is a powerful database engine developed by AWS, offering a MySQL- and PostgreSQL-compatible, relational database service. It combines the speed and availability of high-end commercial databases with the cost-effectiveness of open-source ones. ✨ Key Features: 5x better performance than MySQL Automatic scaling up to 64 TB Self-healing, highly redundant storage 99.99% availability with continuous backups to Amazon S3 Global database support for faster reads and disaster recovery Full compatibility with MySQL and PostgreSQL 🔒 Higher Security: It provides network isolation through Amazon VPC and encryption with AWS Key Management Service. 🔧 Fully Managed: With Amazon RDS, you don't need to worry about hardware provisioning, software patching, or backups—AWS takes care of it all! 💡 Scalability and Performance: Scale up to 32 VCPUs and 244 GB memory, with seamless scaling as your database grows. Amazon Aurora makes database management a breeze while offering commercial-grade performance at a fraction of the cost. Learn more about how it can transform your database operations! 💻 #AWS #AmazonAurora #CloudComputing #Database #MySQL #PostgreSQL #DataManagement #CloudTechnology