Serverless applications are becoming more and more popular, but developers quickly find themselves asking, “How do I manage all of these functions?” Serverless Framework is a (relatively) painless way to develop and deploy your serverless application to AWS, Azure, Google Cloud, and other providers. However, getting started isn’t always easy. Here is an overview of how to get started with Serverless Framework using AWS and some common mistakes to avoid.
Migrating your database from an on-premise server to an AWS Relational Database Service (RDS) instance can be a daunting task. Moving a production database with continually changing data requires plenty of effort - especially if you’re also switching database engines.
As the hard work of a software development project comes to an end, there is one last hurdle that teams must jump to ensure a successful outcome: deployment. Strategic planning for a seamless transition is vital, but often overlooked. Nothing gets a client or teammate’s attention faster than finding errors in their production environment. Here is an overview of the repeatable five-step deployment procedure we use to bring a project into its final stage.
Migrating legacy data to a new application can be intimidating. Your old data isn’t going to fit perfectly in your new model. By following the steps below, you can ensure a smooth transition to your new application and wave goodbye to the legacy structure that is weighing you down.
One of the biggest fears of any product owner is opening your website one morning and finding nothing there. Your site has disappeared without a trace, and you’re left scrambling to pick up the pieces. Fortunately, one of the many benefits of having your application live in the cloud is the ease with which your data can be backed up.
AWS offers reliable backup services for many of its resources. Here are some effective strategies for backing up data in Amazon’s RDS, EBS, S3, and AMI. By implementing these procedures, your worst nightmare becomes only a temporary setback!