Category: Learning Levels

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. […]

NICE DCV is an AWS-owned high performance remote display protocol, which specializes in 2D/3D interactive streaming over the internet or a local network (e.g., WiFi). With the power of NICE DCV we can seamlessly connect to our remote session running either in the cloud or data center via internet from a local laptop. We can […]

Over the past few years, fast.ai has become one of the most cutting-edge, open source, deep learning frameworks and the go-to choice for many machine learning use cases based on PyTorch. It has not only democratized deep learning and made it approachable to general audiences, but fast.ai has also become a role model on how […]

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 […]

These days, building an application distributed among processes, hosts, or even networks is much easier. This is partially due to an evolution in the protocols used to negotiate between different components of an application or service. This evolution is largely the result of the popularity of both the TCP and HTTP protocols as a means […]