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Datadog Database Monitoring Adds Deep Cluster- and Query-Level Visibility for MongoDB
DDOGDatadog(DDOG) Prnewswire·2024-12-02 14:00

Product Update - Datadog Database Monitoring now supports MongoDB, completing its coverage of the five most popular database types: MongoDB, Postgres, MySQL, SQL Server, and Oracle [1] - The addition of MongoDB support enables joint customers to optimize deployment and infrastructure allocation by analyzing resource usage and overlapping workloads [4] Industry Challenges - Traditional monitoring tools often separate database and application monitoring, leading to slow troubleshooting, extended downtime, and degraded customer experience [2] - Replication failures or misconfigurations can cause significant downtime and data inconsistencies, impacting application performance and reliability [3] Product Benefits - Datadog Database Monitoring provides complete visibility into databases, queries, and clusters, helping teams maintain high availability and optimize performance [3] - The platform enables teams to monitor cluster performance, detect potential issues early, and take preventative measures by tracking critical metrics like queries per second and replication details [3] - Teams can optimize query and database performance by tracking latency, execution time, and data volume, while receiving proactive recommendations to fix issues [3] - The unified platform integrates database and application performance monitoring, accelerating root cause analysis and issue resolution [3] Industry Impact - MongoDB is the leading modern document database provider, known for its developer-friendly query language and flexible data model [4] - Datadog's support for MongoDB makes it easier for enterprises to deploy high-performing applications with confidence, ensuring high availability and seamless performance of MongoDB clusters [5] Company Overview - Datadog is a SaaS platform that integrates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, and cloud security to provide unified observability and security for customers' technology stacks [6] - The platform is used by organizations of all sizes across various industries to enable digital transformation, cloud migration, and collaboration among development, operations, security, and business teams [7]