Category: Advanced (300)

Prometheus is an open source monitoring solution that has emerged as a very popular tool for collecting metrics from microservices running in a variety of environments including Kubernetes. In tandem with Grafana, a widely deployed data visualization tool, Prometheus enables customers to query and visualize operational metrics collected from their workloads. Customers deploying their Prometheus […]

April 21, 2021: This article has been updated to reflect changes introduced by Sigv4 support on Prometheus server. The recently launched Amazon Managed Service for Prometheus (AMP) service provides a highly available and secure environment to ingest, query, and store Prometheus metrics. We can query the metrics from the AMP environment using Amazon Managed Grafana, […]

As introduced in Amazon Web Services (AWS) whitepapers, Carrier-grade Mobile Packet Core Network on AWS and 5G Network Evolution with AWS, implementing 4G Evolved Packet Core (EPC) and 5G Core (5GC) on AWS can bring a significant value and benefit, such as scalability, flexibility, and programmable orchestration, as well as automation of the underlying infrastructure layer. This […]

With the newest tools and services provided by AWS, such as AWS ParallelCluster, you can set up a fully functional high-performance computing (HPC) cluster in minutes. ParallelCluster not only simplifies the process of setting up and running technical and scientific applications, it also takes advantage of the power, scale, and flexibility of the cloud and […]

Amazon Managed Service for Prometheus is a Prometheus-compatible monitoring service for container infrastructure and application metrics that makes it easy for customers to securely monitor container environments at scale. In a previous getting started blog post, we showed how to set up an Amazon Managed Service for Prometheus workspace and ingest metrics from an Amazon […]

This post was co-written with Leo Di Donato, an open source software engineer at Sysdig in the Office of the CTO. Kubernetes has seen massive growth in the past few years. However, with all growth comes growing pains, and CI/CD has brought a few interesting problems to the space, especially for the open source community. […]

Modern applications are increasingly relying on compute platforms based on serverless technologies to provide scalability, cost efficiency, and agility. Distributed architectures have unlocked many benefits, and they have introduced new complexities in how the applications operate. With traditional architectures, debugging was as straightforward as logging into the server and inspecting the logs. Modern observability must […]

Machine learning (ML) has become a centerpiece for enterprise transformation. AWS provides a broad and deep set of ML capabilities for builders with all levels of expertise. Developers with no prior ML experience can seamlessly build sophisticated AI-driven applications using AWS AI services. Developers and data scientists can use Amazon SageMaker, a managed machine learning […]

Modern microservices application stack, CI/CD pipeline, Kubernetes as orchestrator, hundreds or thousands of deployments per day—this all sounds good, until you realize that your Kubernetes development or staging environments are messed up by these deployments, and changes done by one developer team are affecting your developer team’s Kubernetes environment. In this post, we will walk […]

A common scenario AWS customers face is how to automate their infrastructure deployments on AWS. Customers must create a secure, agile workflow that deploys to the cloud and uses their preferred AWS services. Customers also need a reliable, supportable deployment pattern driven by automated workflows that are not overly complex and difficult to manage. Customer […]