Category: AWS Lambda

Coverage and utilization metrics can be misleading and do not always tell the full story when it comes to managing commitments and measuring their impact. Effective Savings Rate (ESR) is an objective FinOps metric that measures your true ROI. In this blog post, we will discuss challenges with coverage and utilization, why ESR is important, benchmarking insights, and automation with ProsperOps.

By Saurabh Mishra, Sr. Partner Solutions Architect- AWS, Dimitri Restaino, Sr. Solutions Architect- AWS.
Learn about InterSystems IRIS Cloud SQL and IRIS Cloud IntegratedML, fully managed cloud-native SaaS offerings that offer customers the fastest time to value for InterSystems data management software. Available on AWS Marketplace, these offerings can assist you in managing your data fabric and data mesh architectures.

By Jimmy Dahlqvist, APN Ambassador, Sr. Solutions Architect – Sigma Technology Cloud By Leszek Ucinski, Cloud Engineer – Sigma Technology Cloud By Bill Tarr, Principal Solutions Architect – AWS SaaS Factory By Babak Parvizi, Sr. Partner Solutions Architect – AWS SaaS Factory Sigma Technology For software providers with legacy applications, modernization to a Software-as-a-Service (SaaS) […]

This post presents a cost-effective, serverless multi-tenant SaaS architecture utilizing AWS managed services. Users can belong to multiple tenants via Amazon Cognito user groups, and the solution enables seamless tenant switching and allows tenants to define custom roles with Amazon DynamoDB transactions. By leveraging AWS services, the architecture provides security, isolation, custom permissions, and flexibility to scale without operational overhead.

Amazon Machine Images (AMIs) allow quick deployment of EC2 instances, but managing multiple customized AMIs is complex. Stratus10’s Image Management Solution automates and streamlines AMI building, testing, and deployment using EC2 Image Builder. It provides consistency, integrates with current processes, reduces costs, and improves security. By eliminating manual processes, engineering teams can focus on innovation while hardened images ensure best practices.

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.