Exciting key changes to our Global Partner Program will help our partners fully exploit the potential of full-stack observability with business context.

We're excited to help our customers further leverage the benefits of OpenTelemetry via integration with AWS Distro for OpenTelemetry (ADOT) for traces 1.0.

The current big data world allows even tiny IT environments to produce massive amounts of information. After determining how to open up various data generation sources, a business analyzes the information. Here, the analysis method you leverage varies depending on the data, the tools/equipment used, and the use case. A good practice is to visualize the traces, weather logs, data, or metrics.

We chatted with top IT leadership about the impact that full-stack observability has on their business. Here’s what they had to say.

Both AWS X-Ray and Jaeger are distributed tracing tools used for performance monitoring in a microservices architecture. Jaeger was originally built by teams at Uber and then open-sourced in 2015. On the other hand, AWS X-Ray is a distributed tracing tool provided by AWS specifically focused on distributed tracing for applications using Amazon Cloud Services. Jaeger is a popular open-source tool that graduated as a project from Cloud Native Computing Foundation.

Application performance monitoring (APM) is important for the development of any web app. But monitoring software is not an easy process; you have to observe various metrics and be calculative in observing measurements like the application’s speed, error percentage, memory bloat, number of API calls per day, and much more.

In software terms, “open source” means applications and their source code are available for the public to download and modify free of cost. Anyone can access, edit, and supplement the code to create an enhanced version of the application. Vendors often do this by forking the source code to create their own version of the application, marketing their version commercially.

It is incumbent on cloud operations teams to choose the correct type of AWS EC2 instance relative to the underlying application. The wrong choice could adversely impact business and user experience. This article walks through a customer case study where the EC2 instance choice impacted their business.

Jaeger is an open-source end-to-end distributed tracing tool for microservices architecture. On the other hand, Elastic APM is an application performance monitoring system that is built on top of the ELK Stack (Elasticsearch, Logstash, Kibana, Beats). In this article, let's explore their key features, differences, and alternatives. Application performance monitoring is the process of keeping your app's health in check. APM tools enable you to be proactive about meeting the demands of your customers.

Managing containers effectively in multi-cloud environments is nearly impossible. Kubernetes makes it possible.