Tag: AWS Lambda

Discover how AWS Partner Shellkode helped Boggl AI enhance their product lifecycle management platform using Amazon Bedrock. Learn how this collaboration improved data security, automated product documentation, and achieved 60% faster release cycles while maintaining complete data privacy for customers.

Freshworks’ cutting-edge AI offering, called Freddy AI, is powered by CloudVerse, a platform component that provides AIaaS. CloudVerse, developed in collaboration with AWS, enabled Freshworks to accelerate building generative AI applications on AWS. Read on to learn more about how AWS enabled Freshworks to leverage AIaaS offerings and helps them stay ahead of the curve with various services, including Amazon EKS, AWS Lambda, and Amazon Bedrock.

By combining Amazon DynamoDB with SingleStore, organizations can efficiently capture, process, and analyze DynamoDB data at scale. SingleStore has high-throughput data ingestion and near-real time analytical query capability for both relational and JSON data. This integration empowers businesses to derive actionable insights from their data in near real time, enabling faster decision-making and improved operational efficiency.

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.

It’s critical to identify and protect the sensitive data collected from any unauthorized disclosure, and it’s the responsibility of every organization to effectively discover, control, and manage their sensitive data footprints and comply with relevant data protection laws. Learn how HCLTech‘s DataPatrol framework accomplishes critical tasks in the lifecycle of sensitive documents and improves sensitive data discovery and governance across your AWS environment.

Temenos is one of the largest banking ISVs in the world, serving more than 40 of the top 50 banks while consistently devoting 20% of annual revenue to R&D. Temenos regularly benchmarks key offerings, as teams seek to exceed the capacity their largest customers are likely to need. This is known as the Temenos high-water benchmark and was last run in 2019 on AWS. Explore the complex requirements for this benchmark, and learn how YugabyteDB powered Temenos’ software to reach higher performance.

In the financial services industry, detecting fraud is a complex process. For any given transaction or activity, the system needs to decide whether it’s fraudulent or not and take action within seconds. With Redis Enterprise Cloud‘s sub-millisecond latency speeds, up to five 9’s of availability, linear scalability, and multiple data model support coupled with the global cloud infrastructure support of AWS, organizations can benefit from building a real-time fraud detection system to manage and control fraud.

To help customers deal with cybersecurity challenges, AWS provides capability for aggregated and unified alerting—with a large array of technologies to monitor and control cloud-based application stacks and hosted data. Making intelligent use of this information—to end the opportunity of cyber threat—is the role of the Arctic Wolf Security Operations Cloud. Learn how it provides holistic visibility with data correlation and analytics, assuring detection and response of cyber threats.

When a DXC Technology customer wanted a complete view of requests traveling through an application so they could compare trace sets with different conditions, DXC deployed distributed tracing using AWS X-Ray. This helped monitor and debug distributed applications within the workflow to aid in swift identification of performance issues or errors. Explore the solution’s reference architecture and follow a step-by-step how to enable AWS X-Ray for different AWS products.

One of the top challenges in operating a software-as-a-service (SaaS) solution is measuring the resource consumption of individual tenants in order to understand their usage patterns, attribute costs, and more. The dynamic nature of SaaS environment and shifting needs makes it even more challenging. Explore how you can use the tenant resource consumption data you gathered to optimize your SaaS architecture, to improve operational footprint of SaaS environment and to drive business decisions.