AWS Cloud Operations Blog

Category: Technical How-to

Streamlining the Correction of Errors process using Amazon Bedrock

Generative AI can streamline the Correction of Errors process, saving time and resources. By using generative AI to leverage large language models, combined with the Correction of Errors process, businesses can expedite the identification and documentation of the cause of errors, while saving time and resources. Purpose and set-up The purpose of this blog is […]

Exploring AWS Config data using Amazon Athena and Amazon Managed Grafana

This post is co-written with Jacob Rickerd, Principal Security Engineer at Attentive. The post walks through an example dashboard that Attentive, an AI-powered mobile marketing platform, uses for resource inventory, serving as a starting point for you to build comprehensive dashboards tailored to your environment and tag policies. Attentive is the AI-powered SMS and email […]

Enhanced dashboard, latency suggestions in Amazon CloudWatch Internet Monitor

Amazon CloudWatch Internet Monitor provides near-continuous internet measurements for your internet traffic, including availability and performance metrics, tailored to your specific workload footprint on AWS. With Internet Monitor, you can get insights into average internet performance metrics over time, as well as get alerts for issues (health events). You’re notified about events that impact your end […]

Centrally detect and investigate security findings with AWS Organizations integrations

Detecting security risks and investigating the corresponding findings is essential for protecting your AWS environment from potential threats, ensuring the confidentiality, integrity, and availability of your data and resources for your business needs. AWS provides a range of governance and security services such as AWS Organizations, AWS Control Tower, and AWS Config along with many others, […]

Automating metrics collection on Amazon EKS with Amazon Managed Service for Prometheus managed scrapers

Managing and operating monitoring systems for containerized applications can be a significant operational burden for customers such as metrics collection. As container environments scale, customers have to split metric collection across multiple collectors, right-size the collectors to handle peak loads, and continuously manage, patch, secure, and operationalize these collectors. This overhead can detract from an […]

Ingesting administrative logs from Microsoft Azure to AWS CloudTrail Lake

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 […]

Enable cloud operations workflows with generative AI using Agents for Amazon Bedrock and Amazon CloudWatch Logs

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 […]

Serverless Governance of Software Deployed with AWS Service Catalog

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 […]

How Amazon CloudWatch Logs Data Protection can help detect and protect sensitive log data

Customer applications running on Amazon Web Services (AWS) often require handling sensitive data such as personally identifiable information (PII) or protected health information (PHI). As a result, sensitive log data can be intentionally or unintentionally logged as part of an application’s observability data. While comprehensive logging is important for application troubleshooting, monitoring and forensics, any […]

Assess Resilience at Scale by using Amazon QuickSight and Amazon Resilience Hub

AWS Resilience Hub helps you to manage and improve the resilience posture of your applications on AWS. It enables you to define your resilience goals, assess your resilience posture against those goals, and implement recommendations for improvement based on the AWS Well-Architected Framework. This benefits individual teams that want to assess their applications. However, for […]