Operations | Monitoring | ITSM | DevOps | Cloud

The enterprise data warehouse (EDW) provides access to business data stored in a denormalized structure called a star schema, which makes it easy to analyze, visualize, and forecast essential business metrics. Business intelligence (BI) reporting makes use of the data warehouse for real-time self-service dashboards, custom visualizations, data marts, decision-making reports, and machine learning (ML).

We need to remove a vmstorage node from VictoriaMetrics cluster gracefully. Every vmstorage node contains its own portion of data and removing the vmstorage node from the cluster creates gaps in the graph (because replication is out of scope).

As a long-time database consultant, I’ve fixed more blocking problems in database systems than I can count. Often this blocking has resulted from conflicts between processes needing to read rows while those rows are being modified.

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.