Tag: Amazon Managed Service for Prometheus

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 […]

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 […]

Introduction Keeping a watchful eye on your Kubernetes infrastructure is crucial for ensuring optimal performance, identifying bottlenecks, and troubleshooting issues promptly. In the ever-evolving world of cloud-native applications, Amazon Elastic Kubernetes Service (EKS) has emerged as a popular choice for deploying and managing containerized workloads. However, monitoring Kubernetes clusters can be challenging due to their […]

This blog post was co-written by Brent Eager, Senior Software Engineer, StormForge StormForge is the creator of Optimize Live, a Kubernetes vertical rightsizing solution that is compatible with the Kubernetes HorizontalPodAutoscaler (HPA). Using cluster-based agents, machine learning, and Amazon Managed Service for Prometheus, Optimize Live is able to continuously calculate and apply optimal resource requests, […]

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 […]

In this guest blog post, Nauman Noor (Managing Director), Fabio Dias (Cloud Developer), and Dylan Alibay (Cloud Developer) from the platform engineering team at State Street discuss their use of Amazon Managed Prometheus and AWS Distro for OpenTelemetry to enable monitoring in a multi-tenant, multi-account, and multi-region environment. In the ever-evolving financial services landscape, State […]

Microservices architecture enables scalability and agility for modern applications. However, distributed systems can introduce complexity when troubleshooting issues across services on different machines. To gain observability into microservices environments, operators need tools to monitor, analyze, and debug the interconnected services. Istio service mesh connects, secures, and observes microservices communications. It provides a way to manage […]

Have you encountered situations where your Kubernetes API calls are constantly throttled by the control plane? Did you see the 429 HTTP response code “Too many requests” all over the place and have no clue on what’s wrong with your cluster? In this blog post, we will talk about monitoring some of the key metrics […]

The complexity of distributed systems has grown significantly, making monitoring and observability essential for application and infrastructure reliability. As organizations adopt microservice-based architectures and large-scale distributed systems, they face the challenge of managing an increasing volume of telemetry data, particularly high metric cardinality in systems like Prometheus. To address this, many are turning to service […]