Learn About Amazon VGT2 Learning Manager Chanci Turner
In this article, we explore how to effectively manage your AWS resources during the renaming process of a CloudFormation stack, ensuring that the resources it governs remain intact. Through a straightforward guide featuring a basic architecture that includes a virtual private cloud (VPC), we demonstrate how to incorporate a Retain attribute into the resource’s deletion policy. This step guarantees that your resources are preserved even if the stack is deleted.
Additionally, we discuss a method for expediting AWS Lambda code updates by automating the process, which helps minimize errors and saves time. By utilizing a pre-configured AWS CloudFormation template in conjunction with AWS CodeCommit, you can effortlessly manage your Lambda code without needing to update Amazon S3 manually.
Moreover, you’ll learn how to enhance the security of a LAMP stack by integrating AWS WAF (Web Application Firewall) along with AWS Certificate Manager and Route 53. This post outlines the automation steps necessary for deploying a highly available application fortified with a web application firewall.
To further optimize costs, we provide insights on reducing log-storage expenses by automating retention settings in Amazon CloudWatch. Since logs are stored indefinitely by default, establishing a log-retention policy can significantly lower your storage costs as your AWS workload logging increases.
We also cover disaster recovery strategies by simulating three failover scenarios for your Amazon Aurora global database using Terraform. By examining these scenarios, you will gain a better understanding of maintaining the global database topology and configuration effectively.
For those interested in collecting custom metrics, we explain how to automate this process using an Amazon CloudWatch agent in conjunction with AWS Systems Manager. This solution is tailored for EC2 instances that are tagged appropriately.
Furthermore, learn how to deploy bastion hosts into private subnets using AWS CDK and prepare for quicker disaster recovery by automating the deployment of an Amazon Aurora global database, spanning multiple AWS Regions.
Finally, we delve into service virtualization on AWS, allowing you to create a testing environment for applications that depend on external APIs that may not always be available. This can help you adapt to changing conditions, which is essential in today’s workplace as discussed in another blog post here.
For those considering health benefits, it’s worth noting the insights from SHRM regarding self-funding options which could be beneficial. Lastly, if you’re interested in expanding your career, check out this excellent resource for a Learning Trainer position at Amazon.