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AWS Lambda is a compute service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. You pay only for the compute time you consume - there is no charge when your code is not running. With AWS Lambda, you can run code for virtually any type of application or backend service - all with zero administration. AWS Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code monitoring and logging. All you need to do is supply your code in one of the languages that AWS Lambda supports (currently Node.js, Java, C# and Python).
You can use AWS Lambda to run your code in response to events, such as changes to data in an Amazon S3 bucket or an Amazon DynamoDB table; to run your code in response to HTTP requests using Amazon API Gateway; or invoke your code using API calls made using AWS SDKs. With these capabilities, you can use Lambda to easily build data processing triggers for AWS services like Amazon S3 and Amazon DynamoDB process streaming data stored in Amazon Kinesis, or create your own back end that operates at AWS scale, performance, and security.
StackStorm is used for orchestrating and automating complex workflows, integrating with tools and services to handle repetitive tasks and trigger actions based on events, making it valuable for seamless DevOps processes.
Users utilize StackStorm for its automation capabilities, which integrate with multiple systems to streamline operations, enhance efficiency, and ensure consistency in infrastructure management. It is particularly noted for its event-driven automation, reliability, and ease of deployment. Additionally, it allows for flexible workflows, making it a versatile solution for diverse automation needs.
What are StackStorm's most important features?StackStorm is implemented in various industries including finance, healthcare, and IT, where automation and integration of workflows are crucial. Organizations rely on it to reduce manual intervention, minimize errors, and ensure reliable, efficient operations.
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