AWS Cloud Operations Blog
Category: Amazon Managed Grafana
Detect and respond to security threats in near real-time using Amazon Managed Grafana
Security is “job zero” at AWS. It’s crucial to gain deeper insights into your AWS infrastructure’s security posture to respond quickly to threats. The ability to centrally monitor and visualize the security findings make it easier for you to identify any security threats or gaps and also keep the principle of least privilege in focus. […]
How Stripe architected massive scale observability solution on AWS
This post is co-written with Cody Rioux, Staff Engineer at Stripe and Michael Cowgill, Staff engineer at Stripe Stripe powers online and in-person payment processing and provides financial solutions for businesses of all sizes. Stripe operates a sophisticated microservice environment built on top of AWS. In this blog post we will cover the journey and […]
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 […]
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 […]
AWS named as a Challenger in the 2024 Gartner Magic Quadrant for Observability Platforms
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 […]
Centralize observability with Amazon Managed Grafana Enterprise plugins
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 […]
Enhancing observability with a managed monitoring solution for Amazon EKS
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 […]
Amazon Managed Grafana announces support for Grafana version 10.4
We are excited to announce support for Grafana version 10.4 in Amazon Managed Grafana. You can now run Grafana version 10.4 on a secure, scalable, highly available, and fully managed service. This update gives you access to key features introduced in the open-source Grafana versions 9.5 to 10.4, including Correlations, Subfolders, Transformations redesign, and new visualization panels. It […]
How to monitor AWS WAF logging centrally using Amazon Managed Grafana
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 […]
Autoscaling Kubernetes workloads with KEDA using Amazon Managed Service for Prometheus metrics
Introduction With the rising popularity of applications hosted on Amazon Elastic Kubernetes Service (Amazon EKS), a key challenge is handling increases in traffic and load efficiently. Traditionally, you would have to manually scale out your applications by adding more instances – an approach that’s time-consuming, inefficient, and prone to over or under provisioning. A better […]