AWS Cloud Operations Blog

Mergers and acquisitions (M&As) offer organizations the opportunity to scale operations, diversify product lines, and capture new markets. However, they come with a set of challenges, such as the nuances of integrating legacy IT systems, complying with stringent regulations, and maintaining business continuity, etc. Eliminating the redundancy of resources and optimizing processes to bring consistency […]

With the emergence of generative AI being incorporated into every aspect of how we utilize technology, a common question that customers are asking is how to properly audit generative AI services on AWS, such as Amazon Bedrock, Amazon Sagemaker, Amazon Q Developer, and Amazon Q Business. In this post, we will demonstrate common scenarios that […]

Overview When operating complex, distributed systems in the cloud, quickly identifying the root cause of issues and resolving incidents can be a daunting task. Troubleshooting often involves sifting through metrics, logs, and traces from multiple AWS services, making it challenging to gain a comprehensive understanding of the problem. So how can you streamline this process […]

With numerous AWS accounts in an organization, receiving an external security finding like a vulnerability assessment or pen test report impacting multiple resources can be challenging. Without a centralized resource viewing and search capability, identifying the affected resources require switching and inspecting each account individually, which is time-consuming and inefficient. Security vulnerabilities are time-sensitive, and […]

Organizations of all sizes operate in a compliance landscape that is complex, dynamic, and evolving rapidly, facing internal requirements as well as industry or government regulations. A multicloud strategy creates additional challenges to maintain compliance policies across cloud providers. With AWS, you can implement compliance processes faster and more easily with automation, ready-to-use templates, and […]

Amazon Q, is a new generative artificial intelligence- (AI)-powered assistant designed for work that can be tailored to your business. You can use Amazon Q to have conversations, solve problems, generate content, gain insights, and take action by connecting to your company’s information repositories, code, data, and enterprise systems. Amazon Q provides immediate, relevant information […]

Introduction In this post, we explore the approach of integrating mainframe IBM MQ with Amazon Managed Streaming for Apache Kafka (Amazon MSK), to migrate your applications into a cloud-based consumer model. Amazon MSK is a fully managed Apache Kafka service from AWS that makes it simpler to set up and operate Kafka in the cloud. […]

The recent rise of generative artificial intelligence (generative AI) solutions presents challenges to migrations that are in flight and to migrations that are just beginning. The business problem is that generative AI complicates cloud migrations by introducing additional risks related to data isolation, data sharing, and service costs. For example, the US Space Force has […]

This post is co-authored with Andy Suarez and Kevin Breton (from KnowBe4). For any successful growing organization, there comes a point when the technical architecture struggles to meet the demands of an expanding and interconnected business environment. The increasing complexity and technical debt in legacy systems create pain points that constrain innovation. To overcome these […]

Customers often look for options to capture and centralized storage of application logs from Amazon Elastic Kubernetes Service on Fargate (Amazon EKS on Fargate) Pods to investigate root causes or analyze security incidents. Customers also like the capability to easily query the logs to assist with security investigations. In this blog post, we show you […]