Category: Monitoring and observability

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 […]

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 […]

Ten features in AWS Chatbot to help you understand your application health and resolve issues faster from chat channels.

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 […]

AWS CloudTrail Insights is a powerful feature within AWS CloudTrail that helps organizations identify and respond to unusual operational activity in their AWS accounts. This includes identifying spikes in resource provisioning, bursts of IAM actions, or gaps in periodic maintenance activity. CloudTrail Insights continuously analyzes CloudTrail management events from trails and event data stores, establishing […]

Have you ever been investigating a problem and opened up a log file and thought “I have no idea what I am looking at. If only I could get a summary of the data.” Observability and log data play an important role in maintaining operational excellence and ensuring the reliability of your applications and services. […]

AWS has been named as a Challenger in the 2024 Gartner Magic Quadrant for Observability Platforms, previously known as Gartner Application Performance Monitoring (APM) and Observability Magic Quadrant. This report assesses vendors based on their Ability to Execute and Completeness of Vision. Compared to the previous year, AWS has moved up higher on the Ability […]

With the pace of innovation with Generative AI applications, there is increasing demand for more granular observability into applications using Large Language Models (LLMs). Specifically, customers want visibility into: Prompt metrics like token usage, costs, and model IDs for individual transactions and operations, apart from service-level aggregations. Output quality factors including potential toxicity, harm, truncation […]

Today, we’re pleased to announce the general availability of the Observability Matters on Amazon Web Services GameDay. AWS GameDay is a gamified learning event that challenges participants to use AWS solutions to solve real-world technical problems in a team-based setting. Unlike traditional workshops, GameDays are open-ended and non-prescriptive to give participants the freedom to explore and think outside […]

Observability is a critical aspect for maintaining the health and performance of any distributed system. Organizations rely on data from diverse sources, including AWS services as well as third-party ISVs (independent software vendor) to gain insights into their system’s health. Establishing secure connections to these diverse data sources enables visualization and analysis of observability data […]