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Datadog integrations 2025 recap: Observability for AI, security, and hybrid cloud

Blog post from Datadog

Post Details
Company
Date Published
Author
Alex Guo, Erica Ho, David Pointeau, Kyra Abbu, Mahip Deora, Alan Zhao
Word Count
1,277
Company Posts That Month
17
Language
English
Hacker News Points
-
Summary

In 2025, Datadog marked a significant milestone by surpassing 1,000 integrations, expanding its ecosystem with over 110 new technology partners and enhancing coverage across emerging software categories like AI, distributed security, hybrid infrastructure, and data intelligence. The year witnessed a focus on AI observability and cost control, with integrations such as GitHub Copilot and Microsoft Copilot providing insights into AI lifecycle management and cost tracking. In response to evolving security challenges from increased SaaS adoption and cloud services, Datadog expanded its Cloud SIEM capabilities with integrations that offer comprehensive visibility into cloud environment risks and threat actor activities. To support the growing adoption of hybrid architectures, Datadog enhanced monitoring for distributed systems, covering on-prem, cloud, and edge environments with new integrations like Proxmox and Temporal Cloud. Additionally, Datadog extended its visibility into data and analytics systems, bolstering business insight capabilities with integrations for tools like dbt Cloud and Tableau, while also improving monitoring for digital experience platforms like Shopify and Mailchimp.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 3 3,836 662 193 +2%
Observability 3 2,104 424 141 -21%
AI Coding Assistant 2 710 191 84 +14%
Kubernetes 2 930 177 84 -40%
AI Agents 1 3,616 674 184 +28%