Category: Amazon Managed Service for Prometheus

Customers want to migrate their existing Prometheus workloads to the cloud and utilize all that the cloud offers. AWS has services like Amazon EC2 Auto Scaling, which lets you scale out Amazon Elastic Compute Cloud (Amazon EC2) instances based on metrics like CPU or memory utilization. Applications that use Prometheus metrics can easily integrate into […]

Monitoring applications based on custom metrics is important for a resilient system. One of the mechanisms to generate custom metrics from applications is statsd – a NodeJs process to collect custom application performance metrics periodically. However, statsd doesn’t provide long-term storage, rich querying, visualization, or an alerting solution. Amazon Managed Service for Prometheus and Amazon […]

Monitoring systems are essential for a resilient solution. A popular tool to monitor Linux-based physical or virtual machines is collectd – a daemon to collect system and application performance metrics periodically. However, collectd doesn’t provide long-term storage for metrics, rich querying, visualization, or an alerting solution. The Amazon Managed Service for Prometheus is a serverless […]

Observability is critical for any application and understanding system behavior and performance. It takes time and effort to detect and remediate performance slowdowns or disruptions. Customers often spend much time writing configuration files and work quite to achieve end-to-end monitoring for applications. Infrastructure as Code (IaC) tools, such as AWS CloudFormation, Terraform, and Ansible, reduce manual efforts by […]

Service Meshes are an integral part of the Kubernetes environment that enables secure, reliable, and observable communication. Istio is an open-source service mesh that provides advanced network features without requiring any changes to the application code. These capabilities include service-to-service authentication, monitoring, and more. Istio generates detailed telemetry for all service communications within a mesh. This telemetry […]

Today, I’m happy to announce that Amazon Managed Service for Prometheus now vends usage metrics to Amazon CloudWatch. These metrics can be used to help you gain better visibility into your Amazon Managed Service for Prometheus workspace. Let’s dive in to see how you could use these new Prometheus usage metrics in CloudWatch. I‘ve set […]

Apache Spark is an open-source lightning-fast cluster computing framework built for distributed data processing. With the combination of Cloud, Spark delivers high performance for both batch and real-time data processing at a petabyte scale. Spark on Kubernetes is supported from Spark 2.3 onwards, and it gained a lot of traction among enterprises for high performance and […]

Open standards, specifically the ones implemented by OpenTelemetry, are becoming the de-facto mechanism of implementing observability for numerous organizations that support this CNCF initiative. This blog post showcases how an organization can easily build a central observability platform with single-pane-of-glass visibility into their various applications that run both in the public cloud as well as […]

Orchestration platforms such as Amazon EKS and Amazon ECS have simplified the process of building, securing, operating, and maintaining container-based applications, thereby helping organizations focus on building applications. We simplified this further with the launch of AWS Fargate, where customers no longer have to manage Amazon Elastic Compute Cloud (EC2) instances for their Amazon EKS/ECS […]

At re:Invent 2020, we launched Amazon Managed Service for Prometheus, a fully managed Prometheus-compatible service in Preview on AWS. It is a secure and scalable service customers can utilize to collect infrastructure and application metrics from workloads hosted on various environments, such as Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), […]