![]() With this new update in AWS Lambda, users can access a low-latency, secure temporary file system in Lambda functions. Owing to this feature, users are now able to configure temporary storage between 512 MB and 10 GB, for each execution. The newly introduced increased ephemeral storage serves as the solution for these problems. Moreover, there was the general complexity arising from the need to manage several moving pieces. They also had to bear substantial extra costs for using EFS. Īlthough this solved storage issues, users still had to face lowered performance through cold start. Alternatively, they had to mount an Amazon EFS (Amazon Elastic File System) to the AWS Lambda function. If you use AWS Lambda to process large files (like images and PDFs) or carry out ETL ( extract, transform, and load ) jobs on a huge dataset, or operationalize ML models, it’s difficult to follow the runtime storage requirements.Įarlier, to increase the local storage, users needed to use Amazon S3 (Amazon Simple Storage Service) as intermediary storage for reading or writing data at the time of execution. ![]() New in AWS Lambda: Increased Ephemeral Storage with Significant Advantages ![]() ![]() The increased ephemeral storage brings several benefits to the table for users. This was regardless of memory configuration or runtime. If there’s any issue with the underlying hardware or the instance is terminated or stopped, the data on ephemeral storage will be lost.Įarlier, when using AWS Lambda functions, one could only use ephemeral storage of 512 MB, for each function executed. The temporary, volatile storage attached to instances, present only during the instance’s running lifetime, is known as ephemeral storage. What’s new in AWS Lambda, is the ability to configure ephemeral storage up to 10 GB! What is Ephemeral Storage? Ephemeral storage has always been a feature of AWS Lambda. This new feature will benefit customers running data workloads, like financial analysis, machine learning (ML) inference, or media processing. I3en instances can deliver up to 2 million random IOPS at 4 KB block sizes and up to 16 GB/s of sequential disk throughput.AWS recently announced that users can now configure up to 10 GB of ephemeral storage for each Lambda function instance. Customers can enable Elastic Fabric Adapter (EFA) on I3en for low and consistent network latency. I3en instances feature either the 1st or 2nd generation Intel® Xeon® Scalable processor (Skylake or Cascade Lake) with a sustained all core Turbo CPU clock speed of up to 3.1 GHz.Ĭustomers are able to choose from seven different instance sizes to match the price, performance, and storage requirements of their application. I3en instances also come with up to 100 Gbps networking bandwidth, 96 vCPUs, and 768 GiB of memory. With up to 60 TB of low latency Non-Volatile Memory Express (NVMe) SSD instance storage, I3en instances are optimized for applications requiring high random I/O access to large amounts of data. Amazon EC2 I3en instances offer the lowest price per GB of SSD instance storage on x86-based Amazon EC2 instances and are designed for data-intensive workloads such as relational and NoSQL databases, distributed file systems, search engines, and data warehousing.
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