Category: AWS Step Functions

Companies from different industries use data to help their Artificial Intelligence (AI) and Machine Learning (ML) systems make intelligent decisions. For ML systems to work well, it is crucial to make sure that the massive datasets used for training ML models are of the highest quality, minimizing noise that can contribute to less-than-optimal performance. Processing […]

This is the second post in a two-part series. In part one, we described a process to automatically archive Amazon EC2 backup recovery points from AWS Backup to an Amazon S3 bucket in one of the Amazon S3 Glacier storage classes. In this post, we describe the process to restore an archived EC2 backup recovery point from […]

Centralizing and automating data protection helps you support your business continuity and regulatory compliance goals. Centralized data protection and enhanced visibility across backup operations can reduce the risks of disasters, improve business continuity, and simplify the auditing process. Many organizations have requirements to retain backups of their compute instances for a certain time based on […]

Customers execute custom scripts before or after a backup job to automate and orchestrate required and repetitive tasks. For example, customers running applications hosted in Amazon Elastic Compute Cloud (EC2) instances use scripts to complete application transactions, flush the buffers and caches, stop file I/O operations, or ensure that the application is idle, bringing the […]

Customers can use event-driven architectures with decoupled tasks to automate and orchestrate custom scripts for backup jobs. With event-driven architectures, troubleshooting is key to understanding failures at the component levels in order to resolve issues that arise and keep the entire automated workflow running smoothly. In the first post in this two-part blog series, we […]

Complex environments can sometimes feel like they require complex disaster recovery (DR) solutions, which usually consist of multiple DR offerings from different vendors that may not interact with each other. There are many ways to build a DR solution in the cloud. Luckily, with AWS, you can easily configure multiple DR services and orchestrate them […]

Analytical workloads such as batch processing, high performance computing, or machine learning inference often have high IOPS and low latency requirements but operate at irregular intervals on subsets of large datasets. Typically, data is manually copied between storage tiers in preparation of processing, which can be cumbersome and error-prone. Given this, IT teams want to […]

IT disruptions can occur for many reasons, including human error, weather, or a cyber attack. Enterprises need to have a solution in place that will get them up and running quickly with minimal downtime. When orchestrating disaster recovery at scale, it is important to automate recovery plans as much as possible. This allows for a […]

In active applications, it’s possible for an Amazon EC2 instance’s Amazon EBS volume utilization to reach provisioned capacity. Depending on the application in use, this creates the risk of a customer-impacting application outage when that provisioned capacity is exhausted. One solution is to design a failover mechanism into the application. However, this can be a […]