A study from ManageForce estimated the cost of a database outage to be an average of $474,000 per hour. Long database outages are the result of poor design concerning high availability.

The digital database has come a long way since its infancy in the 1960s. Modern databases do much more heavy lifting than their simpler predecessors and have become sophisticated storehouses for both unstructured and structured data. Businesses still rely heavily on databases, and with advances in database monitoring technology, teams can protect their data like never before.

In this guide, we will discuss the different aspects of MongoDB performance monitoring. MongoDB provides a set of tools and command-line utilities to monitor MongoDB instances. But first, you need to know what metrics should be monitored. Once you understand the performance metrics, you can create workflows and processes to keep a check on your MongoDB cluster’s health and performance.

Karl-Martin Karlson has been working on Pipedrive’s observability team for more than four years, implementing and supporting several observability platforms such as Grafana, Prometheus, Graylog, and New Relic. In sales, as in life, you can’t control your results — but you can control your actions. With that in mind, a team of sales professionals set out in 2010 to build a customer relationship management (CRM) tool that helps users visualize their sales processes and get more done.

This article explores the PostgreSQL implementation of the B-Tree (the B stands for Balanced) and hash index data structures. As PostgreSQL grows in popularity as an open-source database system for developers and as a target for migrating from Oracle workloads, understanding how PostgreSQL indexes work is extremely important for database developers and administrators. PostgreSQL has several other types of indexes, such as GIN indexes, GiST indexes, and BRIN indexes.

In this part 1 of a blog series on serverless monitoring, we will learn how to run the observIQ Distro For OpenTelemetry Collector, referred to as “oiq-otel-collector”, in Google Cloud Run. There are many reasons that someone may want to run monitoring in a serverless state. In our example, we will be monitoring MongoDB Atlas, a cloud hosted version of MongoDB.

In March 2022, Grafana Labs released Grafana Mimir, the most scalable, most performant open source time series database in the world. Mimir provides significant scale — 1 billion active series and beyond — with easy deployment, multi-tenancy, durable storage, high availability, and super fast query performance. From launch, Grafana Mimir could natively consume Prometheus metrics.

CockroachDB is a highly resilient distributed SQL database developed by Cockroach Labs. CockroachDB assures ACID semantics and aims to make it easy to scale horizontally by adding nodes instead of manually sharding the database. Built to be resilient (much like its namesake insect) and highly available as it scales, CockroachDB readily recovers from node failures by repairing and rebalancing automatically.

In the era of technology defined by cloud computing, features evolve at the blinding speed of continuous deployment. When large software development organizations like Microsoft deliver semi-annual releases of products, like SQL Server, the volume of new features can be so large they can be hard to grasp. Microsoft continues to push the boundaries on what’s possible, both in on-premises and cloud data platforms, and they aim to make the life of data professionals much more manageable.

Many DevOps teams struggle to achieve consistent builds and releases due to ineffective collaboration and communication strategies. Over 71% of software teams today are working remotely from global locations, according to a survey by Perforce and DevOps.com. Interestingly, this consistency challenge can be easily solved by a simple approach – database version control.