Category: Serverless

Serverless architectures allow application teams to build applications quickly without worrying about any of the underlying servers. Thundra’s cloud-native observability and security tool helps you test, debug, monitor, troubleshoot, and secure AWS Lambda functions, containers deployed by services like AWS Fargate, and their environments composed of managed or unmanaged services. Walk through a sample alerting scenario and learn how Thundra helps pinpoint and resolve the problem.

Mainframe workloads are often tightly-coupled legacy monoliths with millions of lines of code, and customers want to modernize them for business agility. Manually rewriting a legacy application for a cloud-native architecture requires lots of re-engineering. See how AWS Blu Age transformed a typical mainframe CICS application to AWS containers and AWS Lambda functions. You’ll also learn how to increase mainframe workload agility with refactoring to serverless and containers.

Learn how APN Partner Toptal applied a horizontally scalable solution for a customer’s image upload processing. This type of serverless solution can reduce the strain on API servers and eliminate the need for running separate servers to handle spikes without crashing. A serverless computing model with AWS Lambda is a natural fit for utility classes of tasks, such as preparing and sending transactional emails and push notifications.

By using serverless applications alongside existing Amazon Machine Images, ISVs can provide customers with solutions that are easier to use, more elastic, and more scalable. AWS Marketplace recently announced a feature that enables sellers to publish solutions comprised of AMIs and serverless applications that customers can deploy AWS CloudFormation. This makes it easier for customers to deploy software solutions, rather than ISVs packaging AWS Lambda code into an AMI or referencing their own Amazon S3 bucket.

CircleCI has made building and deploying your AWS Serverless Application Model (SAM) applications easier with the release of the aws-serverless orb. Now, developers can deploy and test serverless applications on AWS with minimal configuration, combining the benefits of continuous integration with the power of serverless. CircleCI orbs are shareable packages of configuration elements, including jobs, commands, and executors.

Automation is becoming more and more critical to organizations needing to manage and govern cloud infrastructure. Cloud Conformity’s auto-remediation tool helps to alleviate security and compliance concerns by using AWS Lambda to fix any non-compliant resources within your AWS account. Cloud Conformity is an assurance and governance tool that continuously monitors one or more AWS services based on AWS Well-Architected best practices.

Serverless Framework is an open source project and popular choice for many AWS customers who wish to quickly construct and deploy serverless applications. For developers and operations professionals, Serverless Framework builds, packages, and deploys code with one simple command. Learn about a solution that GoDaddy and AWS jointly developed leveraging Serverless Framework to expedite and simplify the code deployment process.

With the shift to containers and serverless solutions, organizations are presented with a unique question: how do you maximize an application’s uptime while maintaining a cost-effective infrastructure at both layers? Keeping availability high by over-provisioning is easy, but it’s also very expensive. As a result, several challenges have arisen on the path to building an optimized, cost-effective, and highly available containerized infrastructure on AWS: pricing, instance sizing, and containers utilization.

Amazon Redshift is a powerful yet affordable data warehouse, and while getting data out of Redshift is easy, getting data into and around Redshift can pose problems as the warehouse grows. Datacoral is a serverless data platform that manages metadata changes, data transformations, and orchestrating pipelines for data consumers. In this post, learn how to write Redshift SQL to represent data flow, and how serverless data pipelines get automatically generated for that data flow.

With the addition of WebSocket support in Amazon API Gateway, we set out to build an AWS CloudFormation template to get the simplest WebSocket version. What we built was backed by an AWS Lambda function that responds directly to the client who initiated the request. We learned quite a few things along the way, and even ended up with an easy solution in Stackery for managing and deploying one of these simple WebSockets.