Automating Workloads in the AWS Cloud

The power of true enterprise-class automation.

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AWSTidal Automation™ links, automates, and orchestrates business processes running in AWS and across other public and private clouds, hybrid environments, on-prem, and SaaS applications. Tidal automates integrated workflows across all of these environments with a single-pane-of-glass view of all workload activities in addition to support of time- and event-based scheduling that transcends the conventional “batch” scheduling of AWS.

How is Tidal Automation different from the built-in AWS scheduler?

The Challenge

The AWS scheduler schedules batch jobs only within the boundaries of the AWS cloud, and executes properly only if all dependencies have been met. Workflows for applications and systems external to AWS must be scheduled separately in these fragmented scenarios, and you are limited to batch scheduling only.

This means there may be a risk associated with virtually every point of transition in complex cross-application workflows that run both within and outside the boundaries of AWS. Interdependencies may be unseen, inaccurate data might be transmitted, and jobs may be stalled midstream. These breakdowns are typically not visible until processing is due to complete, so when an error occurs, you won’t know until it’s too late. This lack of visibility can derail SLAs, require extensive IT resources to remediate, and impact business outcomes.

The Tidal Solution

Tidal automates workflows that are running end-to-end across AWS and other cloud/on-premise environments, executing rigorously and reliably each and every time, supporting up to 1+ million jobs per day. We can automate and manage workloads across the enterprise. What’s more, Tidal supports time-based, dependency-based, and event-based scheduling as well as batch scheduling, accurately and reliably automating the most complex cross-application workflows.

Tidal supports sophisticated calendaring functionality that easily accommodates complex instructions, conditional situations, and nested hierarchies. We can optimize infrastructure and staff resources with customizable notifications and automated error recovery when task failures occur.

 

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