Category: Amazon Managed Grafana

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 […]

AWS constantly innovates on its customers’ behalf and strives to improve customer experience by reducing complexity. With AWS, customers look to spend their time solving business problems without worrying about operating their infrastructure. Amazon Elastic Kubernetes Service (Amazon EKS) on AWS Fargate allows customers to run Kubernetes pods without worrying about creating and managing the lifecycle […]

Let’s recap the week at AWS re:Invent 2023 with a round-up of the AWS Observability launches across Amazon CloudWatch, Amazon Managed Grafana, and Amazon Managed Service for Prometheus. From automatic instrumentation and operation of applications in CloudWatch, to agentless scraping of Prometheus metrics in Managed Service for Prometheus, read on to learn about the features […]

Introduction In this blog post you will learn how to visualize AWS Health events using Amazon Managed Grafana to gain deeper insights across multiple Health events in a centralized place. When used in conjunction with AWS Health, Grafana can enhance the ability to respond to issues, optimize performance, and ensure the overall Health of the […]

Today, Amazon Managed Grafana announces a new self-service plugin management experience for Grafana community plugins, that enables you to unify data from a wider variety of data sources with visualizations tailored to analyze your unique datasets. Grafana community plugins provide an expansive array of tailor-made solutions to address diverse visualization use cases. With this release, […]

As machine learning (ML) workloads continue to grow in popularity, many customers are looking to run them on Kubernetes with graphics processing unit (GPU) support. Amazon Elastic Compute Cloud (Amazon EC2) instances powered by NVIDIA GPUs deliver the scalable performance needed for fast ML training and cost-effective ML inference. Monitoring GPU utilization gives valuable information for researchers working […]

Amazon Connect is an easy-to-use cloud contact center solution that helps companies of any size deliver superior customer service at a lower cost. Connect has many real-time monitoring capabilities. For requirements that go beyond those supported out of the box, Amazon Connect also provides you with data and APIs you can use to implement your […]

Businesses today employ IoT devices to monitor the health of their equipment, ranging from machines on a factory floor to inventory tracking sensor locations. Insights from these IoT device fleets make them part of critical business infrastructure, however deriving meaningful insights from these IoT device fleets at scale is a common challenge customers face. IT […]

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 […]

AWS Cost Anomaly Detection uses advanced Machine Learning to identify anomalous spend and root causes, empowering the customers to take action quickly. Currently, in order to view the AWS Cost Anomalies in AWS Cost Explorer, it requires the user to have IAM user access privileges on the AWS Management Console. The ability to centrally monitor and […]