With so many organizations showing such a strong reliance on multi-cloud infrastructure, it’s no surprise that IT leaders need something more to orchestrate workloads, data pipelines, and file transfers across those clouds. More than half use two to three public clouds, and no less than one-third use four or more public clouds. In the 2022 Global State of IT Automation study published by Stonebranch and IEEE, 95% of respondents reported using multiple public clouds. Many of today’s enterprises avoid vendor lock-in by using multiple public and private cloud services. No one wants to be utterly dependent upon one vendor - or worse yet, forced to use a single provider - because the cost of change is too high. When you can only use the services of a single cloud service provider, vendor lock-in becomes a serious concern. Google Cloud Scheduler can only automate Google services. AWS Batch and Lambda can only automate AWS applications. However, their limitation is just that - they can only schedule processes within their own ecosystem. What are the Benefits and Limitations of Cloud Schedulers?Ĭloud schedulers automate well within their own ecosystems. Microsoft Azure Logic Apps is Microsoft’s current automation tool Azure Scheduler was fully retired in January 2022. Similarly, Google Cloud Platform offers Google Cloud Scheduler to automate everything from cloud infrastructure operations to big data jobs. These two tools can automate tasks across any of the many AWS applications, such as S3, EC2, SQS, and so on. Most often, they are stand-alone tools offered as-a-service by cloud providers, including AWS, Google Cloud, and Microsoft Azure.įor example, AWS offers two schedulers: AWS Batch for time-based batch jobs and AWS Lambda for event-based jobs. End-users leverage schedulers to automate tasks, or jobs, that support anything from cloud infrastructure to big data pipelines to machine learning processes. What is a Cloud Scheduler?īy definition, cloud schedulers automate IT processes for cloud service providers. Here we look at cloud schedulers, their role in cloud automation, and how meta-orchestration can help when you need to orchestrate across multiple cloud providers… or even beyond the cloud. These cloud-native schedulers are finely tuned to automate their own ecosystems. With a need to automate a lengthy list of online services, cloud service providers (CSP), including AWS, Google Cloud Platform (GCP), and Microsoft Azure, each developed their own platform-centric automation tools. A cloud scheduler may have some limitations, but it can be a huge time saver as part of any cloud investment.
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