Tag: Amazon EKS

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 […]

Customers often look for options to capture and centralized storage of application logs from Amazon Elastic Kubernetes Service on Fargate (Amazon EKS on Fargate) Pods to investigate root causes or analyze security incidents. Customers also like the capability to easily query the logs to assist with security investigations. In this blog post, we show you […]

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 […]

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 […]

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 […]

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 […]

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 […]

In this blog, we will look into how enterprises can approach migrating on-prem Spring Cloud microservices to Amazon Elastic Kubernetes Service (Amazon EKS). With managed service offerings from AWS, developers can eliminate the need to run and manage cross-cutting services like Service Registry, Config Server and API Gateway. By using AWS services, developers can focus on […]