Category: Thought Leadership

High-performance applications with unlimited throughput capabilities pose significant monitoring challenges, especially when tracking real-time metrics, utilization, and throttling events across distributed database workloads. Near real-time visibility into metrics is crucial for application performance and cost optimization. AWS allows you to seamlessly integrate multiple services to tackle these operational complexities. With Amazon DynamoDB, you can build […]

In this post, we will highlight how AWS Config can be used to help organizations implement capabilities related to management and governance, security, and more. Have you ever wondered how to maintain a centralized inventory of resources across your AWS accounts? Do you need to quickly identify the unencrypted resources in your AWS environment? Do you […]

The AWS Well-Architected Framework (WA Framework) is designed to help cloud architects build secure, resilient, high-performing, and efficient workloads on AWS. It is structured around six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. Figure 1. The pillars of AWS Well-Architected Framework This post provides insights on how to streamline your change-management […]

In January 2023, AWS announced the support of ingestion for activity events from non-AWS sources using CloudTrail Lake. Making CloudTrail Lake a single location of immutable user and API activity events for auditing and security investigations. AWS CloudTrail Lake is a managed data lake for capturing, storing, accessing, and analyzing user and API activity on […]

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible […]

AWS Service Catalog (Service Catalog) is a powerful tool that empowers organizations to manage and govern approved services and resources. It significantly benefits platform engineering by standardizing environments, accelerating service delivery, and enhancing security. With its automated provisioning and resource management, Service Catalog supports infrastructure as code, enabling scalable, reliable deployments. Platform engineering teams are […]

This blog is the second part to a 2 part series on how to secure your Amazon API Gateway with Amazon Cognito, in machine to machine (M2M) communication use cases. In the previous blog post, we dove deep into the different use cases involving M2M communication and how it contributes to business modernization, and why […]

Introduction When we think about modernization, we’re used to think about the process of breaking down a monolithic application, or moving to a microservices architecture. But let’s think for a moment on the business side. For example, think about the challenges and risks involved in moving information over phone calls or emails. We want to […]

Introduction Technologies such as machine learning (ML), artificial intelligence (AI), and Generative AI (GenAI) unlock a new era of efficient and sustainable manufacturing while empowering the workforce. Areas where AI can be applied in manufacturing include predictive maintenance, defect detection, supply chain visibility, demand forecasting, product design, and many more. Benefits include improving uptime and […]

Engaging effectively with application teams is key in scaling out your cloud migration initiative. Some application teams want minimal involvement in the migration process. Others view it as opportunity to enable their engineers and learn by doing. In this post, I discuss the pros and cons and suitability criteria of three engagement models. Deliver (“do-for” […]