Datadog & AWS expand partnership to boost cloud observability

Datadog has entered into a new strategic collaboration agreement with Amazon Web Services (AWS), expanding its capabilities to deliver observability and security tools for organisations operating at scale.

The agreement aims to bolster support for enterprises managing increasingly complex cloud and AI-driven environments.

Cloud synergy

The collaboration comes after more than a decade of joint efforts between Datadog and AWS, including the establishment of local data storage in Sydney for data residency and compliance across Australia and New Zealand. The new agreement strengthens their ability to provide integrated monitoring and security for AWS customers operating hybrid and multi-cloud infrastructures.

Expanded capabilities

Datadog showcased a range of new features designed to give organisations deeper insight into their technology stack. These include tools for observing large language model (LLM) applications, gaining greater visibility into Amazon S3 storage usage, and debugging agent workflows on Amazon Bedrock and Strands Agents Framework. There are also expanded integrations supporting AWS Lambda, Amazon Elastic Container Service (ECS), and Amazon RDS, covering both serverless and container-based workloads.

New AI-driven features will help to speed up identification and response to operational and security issues. With automated recommendations for optimising AWS Lambda and Amazon RDS, and AI-guided advice for Kubernetes environments on Amazon EKS, customers are equipped to reduce costs and improve resilience.

Unified oversight

Organisations using Datadog on AWS gain access to over 1,000 integrations, 100 of which are unique to AWS. This allows users to centralise the monitoring of distributed systems and pinpoint the root of complex issues. A single interface means engineers spend less time correlating information across separate systems.

Sean Fernandez, Chief Information Officer at ROLLER, said:

"Datadog gives us a unified view of our AWS environment through a single pane of glass, correlating everything in seconds rather than the hours we once spent sifting through multiple systems. This has helped de-risk our cloud transformation efforts by giving us the observability needed to modernise confidently and reduce costs while we continue to focus on bringing value to our customers in the form of reliable, secure and compliant technology services."

Security and compliance

Enhancements to security include AI-powered tools for detecting misconfigurations and prioritising investigations in both AWS-only and multi-cloud environments. Organisations are also able to meet region-specific data compliance through the expanded storage options that have previously included Sydney-based data storage for the Australian and New Zealand market.

Industry approach

The new strategic collaboration is intended to support a wide range of sectors, including the public sector, enterprise clients and independent software vendors (ISVs). Deeper integration with AWS allows Datadog to offer customers features such as enhanced solution development, extended marketplace availability and joint go-to-market initiatives.

Jarrod Buckley, Vice President of Channels and Alliances at Datadog, said:

"As cloud-native applications and AI workloads accelerate, observability and security across AWS environments are top of mind for enterprise customers. Expanding our global collaboration with AWS enables continued innovation to help customers become more resilient, reduce risk, and achieve time-to-value faster."

Chris Grusz, Managing Director, Technology Partnerships at AWS, said:

"AWS is committed to working with partners like Datadog to help customers innovate and succeed in the AI era. As organisations increasingly rely on AI-powered applications, observability has become essential for ensuring performance, reliability, and cost optimisation at scale. Through this strategic collaboration and new integrations with AWS services, we're making it easier for customers to gain deep insights into their AWS infrastructure and applications, enabling them to build with confidence and accelerate their AI initiatives."