Cloud has become the de-facto standard for new application development. Kubernetes solves many problems of modern-day cloud infrastructure. It has made microservices-based distributed software systems possible, enabling organizations to provide on-demand scaling. But at the same time, Kubernetes has also increased operational complexity.
Browser instrumentation refers to collecting and analyzing data about a user's interactions with a web browser. This type of instrumentation involves using specialized tools and techniques to gather information about how a website is being used, such as page load times, network requests, and user interactions.
Both DataDog and Jaeger are tools used to monitor application performance. The difference lies in what they monitor and terms of usage. Jaeger is an open-source tool focused on distributed tracing of requests in a microservice architecture. While DataDog is a SaaS APM vendor covering most monitoring needs of an application.
Elasticsearch is a popular search engine that can be used to swiftly and almost instantly store, explore, and analyze huge volumes of data. It offers a distributed, multitenant full-text search engine with an HTTP web interface and schema-free JSON documents on top of Apache Lucene.
OpenTelemetry and DataDog are both used for monitoring applications. While OpenTelemetry is an open source observability framework, DataDog is a cloud-monitoring SaaS service. OpenTelemetry is a collection of tools, APIs, and SDKs that help generate and collect telemetry data (logs, metrics, and traces).
“But I know, somehow, that only when it is dark enough can you see the stars.” Martin Luther King, Jr.
Welcome to our monthly product newsletter - SigNal 22!
Last month our team worked on improving the logs tab and improved the correlation between telemetry signals to drive contextual insights faster. We were also trending on GitHub and crossed 2000+ developers in our slack community.
Nodejs tops the list of most widely used frameworks for server-side programming by developers. Powered by Google’s V8 engine, its performance is incredible. As a result, Nodejs has now become a critical part of the technology stack of large-scale enterprises and startups. And as nodejs is based on Javascript, it is also easier to learn and begin with.
Monitoring and troubleshooting distributed systems like those built with microservices is challenging. Traditional monitoring tools struggle with distributed systems as they were made for a single component. Distributed tracing solves this problem by tracking a transaction across components.
OpenTelemetry is an open-source standard for instrumenting cloud-native applications for generating different types of telemetry data. A robust observability framework set up using OpenTelemetry can help tremendously while troubleshooting software in production.
OpenTelemetry consists of several main components. But to understand the architecture, we will start by understanding some of the key design principles behind the design and architecture of OpenTelemetry.