Datadog, Inc. (NASDAQ: DDOG), the monitoring and safety platform for cloud functions, right now unveiled that its Database Monitoring product now observes MongoDB databases. With right now’s announcement, Datadog Database Monitoring helps the 5 hottest database sorts—MongoDB, Postgres, MySQL, SQL Server and Oracle.
Conventional monitoring instruments sometimes solely permit organizations to watch both their databases or their functions. This may result in gradual and dear troubleshooting that ends in frustration from database and utility groups, prolonged downtime and a degraded buyer expertise. Datadog Database Monitoring allows utility builders and database directors to troubleshoot and optimize inefficient queries throughout database environments. With it, groups can simply perceive database load, pinpoint long-running and blocking queries, drill into exact execution particulars and optimize question efficiency to assist stop incidents and spiraling database prices.
“Replication failures or misconfigurations can lead to vital downtime and knowledge inconsistencies for corporations, which can influence their utility efficiency and reliability. That is why sustaining excessive availability throughout clusters with a number of nodes and replicas is essential,” mentioned Omri Sass, Director of Product Administration at Datadog. “With help for the highest 5 database sorts within the trade, Datadog Database Monitoring provides groups full visibility into their databases, queries and clusters in order that they’ll keep performant databases and tie them to the well being of their functions and success of their companies.”
Datadog Database Monitoring helps groups:
- Guarantee excessive availability of databases: By offering a complete record of database clusters alongside essential metrics like queries per second, reads and writes per second and replication particulars, groups can monitor total cluster efficiency at a look, detect potential points early and take preventative measures.
- Optimize question and database efficiency: Groups observe key question efficiency metrics—like latency, execution time and quantity of information queried—to shortly detect long-running transactions, high-impact blockers and lacking indices whereas receiving proactive suggestions to repair these points.
- Resolve database and utility points sooner: By integrating database monitoring and utility efficiency monitoring, Datadog’s unified platform correlates well being metrics and distributed traces with question metrics and clarify plans in a single view so as to speed up root trigger evaluation of excessive latency, resulting in sooner triage and backbone of points.
MongoDB is the world’s main fashionable doc database supplier. MongoDB’s doc mannequin streamlines the method of constructing data-driven functions with a developer-friendly question language and a versatile knowledge mannequin that’s simple to work with and simple to scale. The newly added help for MongoDB by Datadog Database Monitoring makes it simpler for joint clients to maximise efficiency by optimizing deployment and infrastructure allocation, for instance, by analyzing useful resource utilization and overlapping workloads to benefit from accessible sources.
“As enterprises benefit from right now’s more and more data-intensive workloads, it’s important that they’ve the instruments wanted to deploy high-performing functions with full confidence,” mentioned Will Winn, Senior Director of Companions at MongoDB. “Clients belief MongoDB for its superior efficiency and suppleness, and now that Datadog Database Monitoring helps MongoDB, guaranteeing excessive availability and seamless efficiency of MongoDB database clusters is even simpler.”
Datadog Database Monitoring’s help for MongoDB is now typically accessible. To study extra, please go to: https://www.datadoghq.com/blog/mongodb-database-monitoring.
About Datadog
Datadog is the observability and safety platform for cloud functions. Our SaaS platform integrates and automates infrastructure monitoring, utility efficiency monitoring, log administration, person expertise monitoring, cloud safety and plenty of different capabilities to supply unified, real-time observability and safety for our clients’ complete know-how stack. Datadog is utilized by organizations of all sizes and throughout a variety of industries to allow digital transformation and cloud migration, drive collaboration amongst improvement, operations, safety and enterprise groups, speed up time to marketplace for functions, scale back time to drawback decision, safe functions and infrastructure, perceive person conduct and observe key enterprise metrics.
