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According to Datadog, serverless computing is becoming more common among cloud users, including AWS, Azure and Google. This is according to new data from security and monitoring specialist Datadog. Datadog’s third “The State of Serverless” report revealed that more than half of its customers use serverless computing across AWS, Azure, and Google Cloud Platform. This is typically a distributed chunk of code or functions that are triggered by different types of user or system events. Datadog used usage telemetry data from thousands of customers to compile the report. The report stated that serverless has revolutionized application development by eliminating the need for provisioning and managing any underlying infrastructure. “The serverless ecosystem is maturing and has a lot in common with container-based technologies. Over half of all organizations that use each cloud have adopted serverless because of the wide variety of options available. The following graphic shows that the Amazon cloud is leading the pack in terms of the percentage of Datadog users who use AWS Lambda, the primary service for serverless, or any of its other options: AWS App Runner (ECS Fargate), and EKS Fargate (ECS Fargate). [Click on the image to see a larger view.] Serverless Adoption by Cloud Provider (source : Datadog). The State of Serverless reports were started by Datadog years ago. Datadog updates the numbers frequently — this is the third edition. Datadog has observed a growing correlation between serverless computing, container use, and other forms of computing over the years. This report contains data points about each cloud that are container-related.

  • Nearly 40% of Datadog customers using Google Cloud Run, GCP’s serverless container product is now using it. This is a fourfold increase since January 2020.
  • Datadog stated that Azure Container Instances have seen a 67 per cent increase in customers using it from 2020 to this year. This indicates the maturing of the market for serverless and the value of technologies that can be used both to deploy existing applications as containers and take advantage of serverless.
  • In Q1 2020, less than 12 per cent of AWS Lambda customers were using ECS Fargate, its serverless containers product. More than 20% of AWS Lambda customers have adopted ECS Fargate today. ECS Fargate has also seen a decline in the percentage of AWS Lambda customers that run ECS on EC2, indicating that organizations are increasing their serverless adoption across all types of workloads.

Again emphasizing the growing serverless/containers connection, Datadog said, “This evolution highlights the growing range of options available to organizations who want to go serverless, as well as a shift in how serverless technologies are leveraged. Many organizations are now deploying containerized applications on serverless platforms like Azure Container Instances (Google Cloud Run), Amazon ECS Fargate, and Azure Container Instances (Azure Container Instances). According to the report, one fifth of Lambda users are using container images to deploy functions. Datadog stated that this approach has many advantages over file method, which is limited at 250 MB. Datadog stated that organizations can leverage dependency-heavy libraries like NumPy or PyTorch to support data analytics and machine-learning tasks. “Incorporating Lambda functions into container images makes it easier to integrate serverless solutions for organizations that have Docker-based deployments or CI/CD pipelines.” This allows teams to integrate serverless functions seamlessly into existing workflows, which can help them save significant time.