Category: Management & Governance

Customers use AWS Service Catalog to create and manage a catalog of IT services and products approved for use on AWS. Learn how to use AWS Service Catalog Engine for Terraform Cloud to provision your products and benefit from a self-service provisioning model that removes the heavy lifting of managing Terraform infrastructure. End users with a pre-validated catalog of infrastructure and enforce governance through Terraform Cloud features such as team permissions, run tasks, and policy sets.

Originally focused on healthcare, HITRUST is now used by organizations across industries to demonstrate regulatory compliance and risk management to a global audience. Learn how organizations can enhance the efficiency of their HITRUST compliance with A-LIGN’s compliance automation platform. A-SCEND integrates with AWS to automate evidence collection and continuously monitor cloud security in accordance with Center for Internet Security benchmarks.

Kyndryl Application Management for SAP on AWS is a managed service designed to harness the full power of SAP and enhance agility and efficiency with cloud-enabled workloads on AWS. Learn about the solution’s support models, how to build resilient architectures, and tools and automation that can help you eliminate skills gaps, simplify SAP operations for applications running on AWS, and increase visibility with a managed service portal that shows SAP applications and the AWS infrastructure from a single pane of glass.

AWS offers a wide range of services that can help implement Industry 4.0 processes and tools seamlessly. Concept Reply supports and advises customers on all aspects of IoT and cloud computing—from designing and developing customized IoT solutions to implementing and managing them seamlessly. Learn how AWS services can be utilized to develop a scalable IoT solution that offers high performance and low latency, along with monitoring capabilities that help achieve Industry 4.0 standards.

Resiliency in the cloud is the ability to maintain availability and recover from software and operational disruption in a designated time frame. Following best practices from the AWS Well-Architected Framework, AWS Resilience Hub enables visibility for applications deployed by AWS CloudFormation, including cross-region and cross-account stacks. AWS Resilience Hub also supports defining an application AppRegistry, resource groups, Terraform, and applications using Amazon EKS.

In this post, delve into the process of detecting tenant activities within microservices spanning multiple AWS accounts. We provide insights into instrumenting AWS Lambda functions to include tenant information in tracing using ADOT and demonstrated how to establish a service map across several AWS accounts using Amazon CloudWatch. By leveraging AWS observability technology, SaaS providers can enhance operational efficiency and redirect their attention towards their desired development goals.

For years, the Aurea team managed and maintained 120+ AWS-hosted SaaS products across hundreds of AWS accounts. With escalating costs, they needed a way to identify cost savings across their accounts and applications in a safe and scalable way. Learn how Aurea responded to this challenge by developing CloudFix, a scalable solution for finding and fixing cost-saving opportunities in your AWS environment. CloudFix is an AWS cost optimization tool that helps you adopt and use AWS services efficiently.

By automating performance testing and including chaos testing, organizations can identify failure scenarios in systems before they develop and cause downtime. Learn how Distributed Load Testing on AWS (DLT) automates performance testing at scale, and how AWS Fault Injection Simulator (AWS FIS) performs controlled chaos engineering experiments on AWS resources. By combining the power of AWS FIS and DLT, organizations can perform comprehensive resilience testing and continuously validate their systems.

With the rise of large language models, natural language processing, and generative AI models, embeddings are becoming a critical piece of data in more machine learning use cases. In this post, explore different ways embeddings are used in machine learning and where problems can show up that impact your ML models, and how you can use WhyLabs to identify those problems and create monitors to avoid them showing up again in the future.

Customers can use Grafana Cloud to connect over 60 of the most popular AWS services. Interacting with those services in Grafana Cloud is easier than ever, providing one portal to set up and manage an entire AWS observability strategy. This post takes a closer look at the changes that will make it easier to manage your AWS environment. Grafana Labs supports users’ infrastructure and applications wherever they are, regardless of data type or source.