It is understandable that the process of conducting a performance self-review as a software engineer can be challenging and time-consuming. However, it is an important aspect of professional development and can provide valuable insights into areas where you may be excelling and areas where you may have room for improvement. One way to approach this
Here are a few tips for how to ask someone to review your work:
Create a data lake using AWS Lake Formation. Set up an AWS Glue crawler to determine the schema, and then create tables in the AWS Glue Data Catalog.
This lab demonstrates how to use AWS DataSync and an AWS Storage Gateway file gateway to migrate data from an on-premises Network File System (NFS) server to Amazon Simple Storage Service (Amazon S3). After completing this lab, you will be able to : Deploy and activate a DataSync agent as an Amazon Elastic Compute Cloud
Deploy a web-based application as a Docker container image. After verifying that the image is successfully created, push it to Amazon Elastic Container Registry (Amazon ECR). Then, launch an Amazon Elastic Container Service (Amazon ECS) cluster and create an AWS Fargate profile. Finally, deploy the application to a Fargate cluster. Task 2 : Containerize the
Build and configure routing via transit gateways with multiple levels of complexity.
Learn how to use Amazon S3 endpoints to securely access data from an EC2 instance located in a private subnet.
Generally, you’ll use rebase when there are changes in an upstream branch (like main) that you want to include in your branch. You’ll use merge when there are changes in a branch that you want to put back into main.
This lab provides you with an overview of creating Amazon S3 buckets and adding them as an origin to Amazon CloudFront distributions