With 10 GB container image support, 10 GB function memory, and now 10 GB of ephemeral function storage, you can support workloads such as using large temporal files, data and media processing, machine learning inference, and financial analysis. California), US West (Oregon), Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Milan), Europe (Paris), Europe (Stockholm), Middle East (Bahrain), South America (Sao Paulo). You can now configure up to 10 GB of ephemeral storage per Lambda function instance in these Regions where AWS Lambda is available: US East (Ohio), US East (N. Source for AWS Glue and Amazon Quicksight I want to quote the table to show the differences between these options and common use-cases to help you choose the right one for your own applications. To learn more, see a great blog post, Choosing between AWS Lambda data storage options in web apps, written by my colleague James Beswick. To learn more, see Configuring function options in the AWS Documentation.Īs a review, AWS Lambda provides a comprehensive range of storage options. You can configure ephemeral storage using Lambda API via AWS SDK and AWS CloudFormation. $ aws lambda update-function-configuration -function-name PDFGenerator \ With AWS Command Line Interface (AWS CLI), you can update your desired size of ephemeral storage using the update-function-configuration command. When you click the Edit button, you can configure the ephemeral storage from 512 MB to 10,240 MB in 1 MB increments for your Lambda functions. You will see a new configuration for Ephemeral storage setting at 512MB by default. ![]() To configure your Lambda function with larger ephemeral storage, choose the Configuration tab under the General Configuration section in the AWS Lambda Console. Setting Larger Ephemeral Storage for Your Lambda Function You can continue to use up to 512 MB for free and are charged for the amount of storage you configure over the free limit for the duration of invokes. With increased AWS Lambda ephemeral storage, you get access to a secure, low-latency ephemeral file system up to 10 GB. You can now control the amount of ephemeral storage a function gets for reading or writing data, allowing you to use AWS Lambda for ETL jobs, ML inference, or other data-intensive workloads. Today, we are announcing that AWS Lambda now allows you to configure ephemeral storage ( /tmp) between 512 MB and 10,240 MB. Since customers could not cache larger data locally in the Lambda execution environment, every function invoke had to read data in parallel, which made scaling out harder for customers. With the previous limit of 512 MB, customers had to selectively load data from Amazon Simple Storage Service (Amazon S3) and Amazon EFS, or increase the allocated function memory and thus increase their cost, just to handle large objects downloaded from Amazon S3. Data-intensive applications require large amounts of temporary data specific to the invocation or cached data that can be reused for all invocation in the same execution environment in a highly performant manner. ![]() However, extract, transform, and load (ETL) jobs and content generation workflows such as creating PDF files or media transcoding require fast, scalable local storage to process large amounts of data quickly. While AWS Lambda includes a 512 MB temporary file system ( /tmp) for your code, this is an ephemeral scratch resource not intended for durable storage such as Amazon Elastic File System (Amazon EFS). Serverless applications are event-driven, using ephemeral compute functions ranging from web APIs, mobile backends, and streaming analytics to data processing stages in machine learning (ML) and high-performance applications. Update J– The Available Now section below has been edited for clarity to ensure the best experience for our readers.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |