Datadog enhances AWS & database monitoring features
Datadog has announced its latest advancements in monitoring capabilities for Amazon Web Services (AWS) and database technologies, expanding support and integration for a variety of platforms.
Datadog, known for its monitoring and security platform tailored for cloud applications, has strengthened its investment in AWS monitoring. It now offers over 100 AWS service integrations, including tools for AI/ML applications, as well as serverless and containerised environments. Prominent companies such as AppFolio, andsafe, Asana, Maersk, Cash App, Sweetgreen, The PlayStation Network, and Twilio leverage Datadog for monitoring their AWS environments.
Addressing the ongoing trend of enterprises adopting AI/ML, cloud migration, and serverless technologies, Yanbing Li, Chief Product Officer at Datadog, stated, "We continue to see companies rely on Datadog for enterprise-scale observability at an accelerated rate. Trends like AI/ML, cloud migration, serverless and containers - and the need to monitor and optimise resources for all these areas - have helped to accelerate this growth as companies search to better understand their LLM usage, infrastructure performance and cloud costs."
The expanded AWS integrations include AWS Trainium and AWS Inferentia for ML performance monitoring, Amazon Q for integrated querying in AWS Management Console, Amazon Bedrock for AI model monitoring, and Amazon SageMaker for metrics visualisation.
Kyle Triplett, VP of Product at AppFolio, commented on the benefits experienced with Datadog's capabilities: "The Datadog LLM Observability solution helps our team understand, debug and evaluate the usage and performance of our GenAI applications. With it, we are able to address real-world issues, including monitoring response quality to prevent negative interactions and performance degradations, while ensuring we are providing our end users with positive experiences."
James Adams, Machine Learning Engineering Manager at Cash App, shared insights on their usage of AWS and Datadog: "We explored a bunch of different hosted solutions and found that SageMaker solved all the problems that we were encountering. And we did some stress testing with it and it held up to the traffic that we expected to be sending through the system. With Datadog, it has all these AI integrations—including SageMaker—that we're using heavily."
Marcel Drechsler, Senior Cloud Solutions Engineer at andsafe, highlighted the efficiency gains from Datadog's tools: "andsafe has been all in on Amazon Web Services since day one and our infrastructure is based on microservices which are running on Amazon EKS. To monitor the resource consumption, we are utilising the container monitoring tools of Datadog. As a result, we were able to decrease the resource consumption and make the process much faster."
On the database management front, Datadog has unveiled new capabilities for monitoring MongoDB, thus supporting the five most popular database types, including MongoDB, Postgres, MySQL, SQL Server, and Oracle. This expansion aims to provide comprehensive observability, enabling users to troubleshoot and optimise queries, ensuring high availability and efficiency across database environments.
Omri Sass, Director of Product Management at Datadog, emphasised the importance of robust database monitoring, saying, "Replication failures or misconfigurations can result in significant downtime and data inconsistencies for companies, which may impact their application performance and reliability. That's why maintaining high availability across clusters with multiple nodes and replicas is critical. With support for the top five database types in the industry, Datadog Database Monitoring gives teams complete visibility into their databases, queries and clusters so that they can maintain performant databases and tie them to the health of their applications and success of their businesses."
Will Winn, Senior Director of Partners at MongoDB, added, "As enterprises take advantage of today's increasingly data-intensive workloads, it's critical that they have the tools needed to deploy high-performing applications with complete confidence. Customers trust MongoDB for its superior performance and flexibility, and now that Datadog Database Monitoring supports MongoDB, ensuring high availability and seamless performance of MongoDB database clusters is even easier."
