Snowflake is a cloud-native data platform that enables users to easily store, manage, analyze, and share high volumes of structured and semi-structured data. Whereas traditional data architectures often consist of multiple databases, data warehouses, and data lakes, Snowflake breaks down the silos between your different data sources and serves as a single source of truth for a wide range of simultaneous workloads.

MongoDB is one of the most popular NoSQL databases in the world, used by millions of developers to store application metrics from e-commerce transactions to hospital equipment inventory, from user logins to First World War diaries. MongoDB databases contain mountains of information that SREs, software engineers, and executives can visualize to run their businesses more effectively. Grafana dashboards are most effective when they are layered with context.

Here at MetricFire we’re moving some huge rocks to get more benefits for our customers. Our tech team is migrating our Graphite backend from a Riak database to TimescaleDB. This will drive huge benefits for our customers stemming from the new ability to access their database through PostgreSQL querying. Simultaneously, we’ll be migrating our cloud provider from Hetzner to AWS. This drives further benefits surrounding latency, uptime and security requirements for our customers.

In this article, you’ll learn the basics of MongoDB. We’ll cover its performance metrics, built-in monitoring commands, utilities and tools, and common monitoring strategies. You will also be introduced to a monitoring tool called MetricFire and provided with some examples of how it can be used in production systems together with setup instructions.

Snowflake offers a cloud-based data storage and analytics service, generally termed “data warehouse-as-a-service.” The main benefit of Snowflake is that you pay for compute and storage that you “actually use,” so it’s not “just another database.” Snowflake has become very popular over the last few years, culminating in a huge IPO just a couple of weeks ago, by allowing enterprise users to affordably store and analyze data using cloud-based hardware and software