225 updates from Datadog and Dynatrace in the last 30 days. We read them all so you don't have to.
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
Dynatrace has redefined how you monitor today’s digital ecosystems. AI-powered, full stack and completely automated, it’s the only solution that provides answers, not just data, based on deep insight into every user, every transaction, across every application. The world’s leading brands trust Dynatrace to optimize customer experiences, innovate faster and modernize IT operations with absolute confidence.
Datadog positions itself as a monitoring tool for IT, development, and operations teams managing large-scale applications, emphasizing the transformation of application-generated data into actionable insights. Dynatrace frames itself as an AI-driven, full-stack monitoring solution focused on providing automated, deep insights into user experiences and transactions across digital ecosystems. Both target similar technical audiences but differ in emphasis: Datadog highlights data analysis and scalability, while Dynatrace emphasizes AI-powered automation and end-to-end visibility for optimizing customer experiences.
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Weekly updates per vendor, last 12 weeks.
Page-type activity over the last 30 days. Brighter cells = more updates.
DatadogDynatraceDatadog focused heavily on expanding its "Bits" AI ecosystem, launching several new products including Bits Agent Builder, Bits Detection, and Bits Memories to automate investigation and monitoring. They also introduced BYOC Logs for on-premises data residency and achieved FedRAMP High authorization. In contrast, Dynatrace’s activity centered on deepening its AWS partnership, showcasing integrations for AI workloads and agentic AI tools at the AWS Summit. While Dynatog released research on how AI workloads are increasing log volumes, Dynatrace’s product updates focused on SaaS upgrades for Dynatrace Assist and new observability capabilities for AI coding agents. Both companies emphasized AI-driven automation and platform consolidation through various customer case studies.
Last updates we detected for each vendor.
Datadog released MITRE ATT&CK Enrichment Packs for Observability Pipelines to automatically tag security logs with attacker tactics and techniques. This feature normalizes diverse telemetry from identity, network, cloud, and endpoint source
Datadog shared a blog post regarding monitoring strategies for LLM inference workloads on Kubernetes, focusing on optimizing latency and GPU utilization through specific integrations.
Datadog shared a case study detailing how Signify utilized their observability platform to increase availability to 99.97% and reduce cloud costs by over 60%.
Datadog is looking for applicants for its Associate Designer Program (ADP), highlighting the program's rotational structure and high level of ownership for new designers.
Datadog launched Bits Agent Builder, a tool that allows users to build custom AI agents for tasks like alert investigation, security response, and cost optimization.
Dynatrace is seeking a Sales Development Representative to identify and qualify sales opportunities for its APM software organization. The role involves outbound prospecting to Fortune 1000 senior IT management and partnering with marketing
Dynatrace is seeking a Senior Software Engineer to design and build its next-generation observability platform. The role requires expertise in GoLang, TypeScript, and React, with a specific focus on integrating AI development and tooling.
Dynatrace is seeking a Senior Director to lead its global Customer Education function. This strategic role focuses on driving enterprise adoption and platform value through AI-driven learning strategies and scalable enablement frameworks.
Dynatrace is seeking a Lead Software Engineer in Data to provide technical direction and hands-on implementation for its Business Intelligence data pipelines. The role requires expertise in Python, Snowflake, and SQL to transform business d
Dynatrace is seeking a Senior Software Engineer to build features for its agentic AI platform, Dynatrace Intelligence. The role requires 3+ years of experience in Python and Java to develop backend services and LLM integrations.
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