Tag: AWS Step Functions

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 […]