Category: Amazon Managed Grafana

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 […]

In this blog post, you will learn how to improve observability on your Amazon RDS Custom for SQL Server database. You will configure metric exporters and send those metrics to Amazon Managed Service for Prometheus, to be visualized in Amazon Managed Grafana. By utilizing both Amazon Managed Service for Prometheus, and Amazon Managed Grafana, you […]

Organizations rely heavily on cloud-based data processing and analytics platforms in today’s data-driven world to unlock valuable insights and make informed decisions. Databricks, a unified analytics platform, has emerged as a popular choice due to its seamless integration with Apache Spark, and its ability to efficiently handle large-scale data processing tasks. Many customers have implemented […]

Introduction Monitoring is a critical aspect of maintaining the health and performance of any distributed system. In the case of Apache Kafka-based applications, configuring robust monitoring on kafka clusters becomes more crucial due to the real-time nature of data processing. This blog is intended for individuals or organizations utilizing Apache Kafka-based applications, specifically those facing […]

Today we are happy to announce the all-new AWS CDK Observability Accelerator – a set of opinionated modules to help you set up observability for your AWS environments with AWS Native services and AWS-managed observability services such as Amazon Managed Service for Prometheus, Amazon Managed Grafana, AWS Distro for OpenTelemetry (ADOT) and Amazon CloudWatch. AWS […]

Customers who run containerized workloads on Kubernetes clusters on their hardware use Amazon EKS Anywhere (Amazon EKS-A). Customers look for prescriptive guidance for the observability of their modern applications running on EKS-A. Using AWS-managed open-source services such as AWS Distro for OpenTelemetry (ADOT), Amazon Managed Service for Prometheus, and Amazon Managed Grafana helps customers to offload […]