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A NoSQL database provides a mechanism for data storage and retrieval, without using the tabular relations associated with relational databases. Originally referred to as "non-SQL" or "non-relational" databases, NoSQL databases are increasingly used in big data and real-time web application environments. NoSQL systems are also sometimes called “Not only SQL” to emphasize that they may support SQL-like query languages or sit alongside SQL databases in polyglot-persistent architectures.

Your applications most likely consist of multiple components. These components could be written in different languages, with each individually instrumented with Sentry’s SDK. The goal of our tracing solution is to make sure developers get a full picture of the data captured within their tech stack. Tracing allows you to follow a request from the frontend all the way to your backend application and back.

Losing track of communication between applications or code has become a problem with the tech world growing more into supporting Serverless cloud architectures and allowing the developer to maintain, upgrade and update these services. One might say that services and code are becoming more loosely coupled, allowing code to run and execute in silos. Let's take an AWS Lambda function as an example.

A NoSQL database provides a mechanism for data storage and retrieval, without using the tabular relations associated with relational databases. Originally referred to as "non-SQL" or "non-relational" databases, NoSQL databases are increasingly used in big data and real-time web application environments. NoSQL systems are also sometimes called “Not only SQL” to emphasize that they may support SQL-like query languages or sit alongside SQL databases in polyglot-persistent architectures.

On the heels of launching our new open source TSDB Grafana Mimir, we are excited to introduce Grafana Enterprise Metrics 2.0. GEM 2.0 is built on top of Grafana Mimir 2.0, our easy-to-operate, high-scale database which we’ve shown can handle upwards of 1 billion active series. That means that GEM 2.0 inherits all of the highlights of Mimir, including easy deployment, native multi-tenancy, high availability, durable long-term metrics storage, and exceptional query performance.