Category: AWS Lambda

Leveraging AWS Lambda response streaming functionality enables progressive data delivery from large datasets, enhancing web application performance. This post compares a traditional API implementation to a Lambda streaming API, demonstrating reduced time-to-first-byte latency and quicker, more dynamic client-side rendering. By incrementally sending data, response streaming eliminates lag from waiting on entire dataset transfers, vastly improving user experience for data-intensive applications.

CyberCX built an AWS serverless data lake and data masking solution to enable using production data securely in non-production environments. The modular, AWS-native solution combines AWS services to mask sensitive data in near real-time while retaining data utility. This allows thorough testing and confidence before deployment to production, improving data security and accelerating time to market.

JBS Dev modernized a national pet retailer’s legacy backend system to support its new mobile app. By leveraging AWS Lambda and other services, JBS Dev built a scalable, resilient serverless architecture which enabled faster innovation and integrated seamlessly with the retailer’s systems. The solution improved performance and reliability, delivering an exceptional customer experience. JBS Dev showcased the power of AWS Lambda and serverless to transform legacy systems and drive business growth.

The integration of geospatial data into the broader business intelligence and decision-making process is referred to as location intelligence. On AWS, you can use the Snowflake Data Cloud to integrate fragmented data, discover and securely share data, and execute diverse analytic workloads. This post shows how you can enrich your existing Snowflake data with location-based insights using Amazon Location Service for location intelligence workloads.

This post showcases a way to filter and stream logs from centralized Amazon S3 logging buckets to Splunk using a push mechanism leveraging AWS Lambda. The push mechanism offers benefits such as lower operational overhead, lower costs, and automated scaling. We’ll provide instructions and a sample Lambda code that filters virtual private cloud (VPC) flow logs with “action” flag set to “REJECT” and pushes it to Splunk via a Splunk HTTP Event Collector (HEC) endpoint.

If you’re an AWS Lambda user who has yet to migrate your functions to Arm, how much performance uplift, cost savings, or both can you expect depending on the kind of workload or runtime you use? Learn how Cascadeo designed an experiment to tease out a data-driven view of Arm vs. x86 Lambdas functions and found that switching to Arm-based Lambdas can have significant benefits in terms of performance or cost—and a lot of times both!

Atlassian Confluence lets you create, capture, and collaborate on projects or ideas while creating and sharing knowledge articles with your colleague and organization. Learn how to use an AWS Lambda function to customize Amazon CloudWatch alarm notifications and embed an Atlassian Confluence knowledge article within it. We’ll also explore the option to build a pipeline to carry the metrics notification from source instance to CloudWatch and Amazon SNS.

Generative AI and large language models (LLMs) such as AI21 Labs’ Jurassic models are reshaping how we engage with information. This post walks through using the Jurassic-2 (J2) large language model and how to consume the model via an AWS Lambda API endpoint. We’ll also discuss how to make calls to the J2 model via the publicly available Jurassic-2 Python SDK. AI21 Labs is an AWS Partner and leader in generative AI and LLMs, revolutionizing the way people read and write.

Learn how to build scalable, cost-effective, and serverless microservices using TiDB Cloud and AWS Lambda. TiDB Cloud is based on TiDB which is cloud-native, open-source distributed SQL database with built-in hybrid transactional and analytical processing (HTAP) that can handle multiple workloads seamlessly and effectively. Explore how pairing TiDB Cloud with AWS Lambda enables you to build serverless, event-driven microservices, further enhancing the scalability and cost-effectiveness of your architecture.

An integral component to most serverless architectures is AWS Lambda, the compute service that lets you run code for virtually any type of application without provisioning or managing servers. Fastly has extended its Next-Gen WAF to Lambda functions, supporting customers looking to embed additional layers of security into their serverless workloads. Fastly’s Next-Gen WAF supports numerous other deployment scenarios including virtual machines, containers, and web servers.