Category: AWS Lambda
AWS Lambda allows you to run your code without provisioning or managing servers. Observability requires a different and more integrated set of telemetry that gives a comprehensive picture of your functions. Learn how this AWS service is used in practice and how Sumo Logic helps demystify Lambda observability by streamlining telemetry ingestion, unifying data, and correlating insights across disparate services.
As serverless architectures start to grow, finding the right troubleshooting approach becomes a business-critical aspect. In this post, dive into the “instrumentation approach” and how to keep track of internal events within an AWS Lambda function, and how to export processed telemetry data. Lumigo shares a practical guide on how to use AWS Lambda Extensions and follow a storyline of extracting internal events from Lambda functions, processing them, and sending telemetry data to external services.
Given the sensitive nature of the data capture process within the health landscape, humanizing the experience when digitizing information is crucial, with a keen focus on a personalized user experience not to be compromised on. The key lies in the approach taken to design and deliver on the fundamental capabilities of serverless architecture. Learn how Experience Digital converted offline resources into a broadscale digital toolset for MedHealth as part of a roll-out across Australia.
There are multiple use cases where applications running on AWS may require a Lambda function to process the file stored in Box storage before it’s sent to the next stage for further processing. This post explains how a Lambda function can be invoked on the upload of a file in a Box folder using a webhook. With the help of a Box webhook and Amazon API Gateway, users can invoke a Lambda function on file upload operation and download the file to Amazon S3.
As multi-tenant SaaS providers look to leverage machine learning services, they must consider how they’ll protect the data that flows in and out of these services from different tenants. Learn how tenant isolation of machine learning services can be achieved using AWS IAM, and how the integration between IAM, Amazon SageMaker, and many other AWS services provide developers with a rich set of mechanisms that can be applied to realize tenant isolation goals.
Serverless has many benefits, but logging from AWS Lambda is like an artistic, creative process. It requires thought and vision to bring together the pieces and assemble them into something organized and functional. The Big Compass Serverless Logging Framework is also a validated AWS solution that helps standardize logs across teams, business units, and Lambdas, easing the burden of implementing a complicated logging framework.
The legacy nature of its Windows application was a challenge faced by a rail manufacturer while migrating to AWS was. Refactoring the application to leverage AWS cloud-native features was not a viable option in this case, as the vendor had stopped their software maintenance and support. Learn how IBM leveraged AWS to improve the application’s long startup time by implementing a warming functionality using AWS Lambda and AWS Systems Manager.
Building web applications in a serverless environment has brought many advantages, but with every big shift there are certain practices such as malware protection that need to be reinvented. Organizations need a solution that’s easy to query from web application via API with no infrastructure required. Learn how SophosLabs Intelix offers a suite of APIs which provide specific, actionable intelligence about files.
As part of adopting a multi-tenant SaaS model, a key challenge is how to provide strong tenant isolation in a cost effective and scalable manner. Being able to effectively isolate your tenants is an important part of a multi-tenant system. Learn how dynamic policy generation gets applied as part of the overall isolation story of your SaaS solution, and follow along with AWS reference implementation to demonstrate how to use dynamically generated policies in code.
Many companies are using Amazon Redshift to analyze and transform their data. As data continues to grow and become even more important, they are looking for more ways to extract valuable insights. One use case we’re especially excited to support is that of data tokenization and masking. Amazon Redshift has collaborated with Protegrity, an AWS Advanced Technology Partner, to enable organizations with strict security requirements to protect their data while being able to obtain the powerful insights.