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Offloading PostgreSQL Backups to Azure Blob Storage Using PGBackRest, Managed Identity, and SAS Tokens
- This article discusses how to offload PostgreSQL backups to Azure cloud's blob storage securely to reduce infrastructure costs and provide cloud-based disaster recovery capabilities.
- The setup involves creating an Azure-managed identity and a SAS (shared access signature) token, which gives a time-limited, secure connection to the offsite backup location.
- Next, the article covers setting up the PostgreSQL application and configuring local and remote backup repositories to accomplish the backup plan.
- PGBackRest script is adapted to renew the SAS token periodically and update the pgBackRest configuration file in the PostgreSQL server.
- The SAS token, which is used to access the blob storage, and the managed identity can be audited and monitored in Azure's cloud app hosting environment for added security and compliance.
- The article provides examples of how to automate the renewals of the SAS token and how to test the solution to ensure it works as expected.
- The SNMP protocol enables a manager to monitor the operations of remote software on its network for greater efficiency in network management and reduced downtime. SNMP has its own challenges and benefits. This article provides an overview of SNMP's functionality, how it works, its benefits, and the challenges it presents.
- This article explores how to use AWS EC2 instances for GPU-accelerated computing, which offers several benefits like high-performance computing, better task parallelization, and lower infrastructure costs.
- The article discusses the process of creating an EC2 instance, launching the instance, and installing the necessary tools and libraries on it for GPU-accelerated computing.
- Lastly, the article provides multiple examples of how to get started with specific tools, libraries, and code examples that can help in running the model more efficiently on EC2 instances.
- In conclusion, this article provides a step-by-step guide to implementing GPU-accelerated computing on Amazon's AWS platform and helps readers to get started with specific tools, libraries, and code examples.
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