Category: Monitoring and observability

Introduction Amazon CloudWatch Synthetics canaries are scripts that monitor your endpoints and APIs by simulating the actions of a user. These canaries run on a schedule, check the availability and latency of your applications, and alert you when there are issues. Canary scripts are written in Node.js and Python, and they run inside an AWS […]

AWS announced Amazon CloudWatch Application Signals during re:Invent 2023. It is a new feature to monitor and understand the health of Java applications. Today we are excited to announce that Application Signals now supports Python applications. Enabling Application Signals allows you to use AWS Distro for OpenTelemetry (ADOT) to instrument Python applications without code changes. […]

It is important for cloud security operations teams to maintain a high level of cloud security and detect and respond to malicious web activity in near real-time. AWS WAF helps protect web applications from common web exploits that could affect application availability, compromise security, or consume excessive resources. However, as your cloud environment scales with […]

Modern software development teams understand the importance of observability as a critical aspect of building reliable and resilient applications. By implementing observability practices, software teams can proactively identify issues, uncover performance bottlenecks, and enhance system reliability. However, it is a fairly recent trend and still lacks industry-wide adoption. As organizations standardize on containers, they often […]

Monitoring containerized applications requires precision and efficiency. As your applications scale, collecting and summarizing application and infrastructure metrics from your applications can be challenging. One way to handle this challenge is using Amazon CloudWatch Container Insights which is a single-click native monitoring tool provided by AWS. Amazon CloudWatch Container Insights helps customers collect, aggregate, and summarize […]

In today’s fast-paced digital world, users expect fast and reliable web experiences. Slow-loading pages, errors, and other performance issues can lead to lower engagement and conversion rates, ultimately hurting a business’s bottom line. That’s where Real User Monitoring (RUM) comes in. Real User Monitoring (RUM) is a crucial aspect of modern web application development, allowing developers and […]

VTEX is a multi-tenant platform with a distributed engineering operation. Observing hundreds of services in real time in an efficient manner is a technical challenge for the business. In this blog, we will show how VTEX created a resilient open source-based architecture aligned with a sharding strategy, using Amazon Managed Service for Prometheus (AMP) to […]

Traditionally, scraping application Prometheus metrics required manual updates to a configuration file, posing challenges in dynamic AWS environments where Amazon EC2 instances are frequently created or terminated. This not only proves time consuming but also introduces the risk of configuration errors, lacking the agility necessary in dynamic environments. In this blog post, we will demonstrate […]

AWS customers are increasingly relying on AWS User Notifications to monitor and get real-time notifications about the AWS resources that are most important to them. The AWS Console Mobile Application can be configured as a notification delivery channel, where users can monitor AWS resources, get detailed resource notifications, diagnose issues, and take remedial actions, from […]

Troubleshooting often involves complex analysis across fragmented telemetry data. While alarms on metrics can signal high-level deviations, deeper context often resides in other areas such as log messages, which help uncover the root cause. This disjointed approach not only consumes time and effort, but also inflates telemetry costs. In this post, we’ll showcase how structured […]