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Recapping DASH 2024
DASH 2024 was our biggest event yet! Over two days, thousands from the Datadog community gathered at North Javits in New York City for an impactful experience. The 2024 keynote featured numerous new product launches and updates, but there was much more to enjoy beyond this speech. Attendees got to experience breakout sessions, workshops, certification exams, one-on-one Datadog consultations, and a bustling expo hall.
Kubernetes Security Fundamentals: API Security - Part 4
In this video we’ll continue our look at the details of how Kubernetes secures the various APIs it uses, looking at the controller manager, scheduler, and Kube proxy APIs. For more information, please see our security labs blog Kubernetes security fundamentals: API Security.
Optimize PostgreSQL performance with Datadog Database Monitoring
PostgreSQL is a widely used open source relational database that many organizations operate as a core part of their infrastructure stack. Because of their mission-critical nature, database-related issues can have outsize downstream impacts on user experience, service performance, and data retention, making it vital to identify and address problems quickly.
Monitor Teleport with Datadog
The Teleport Access Platform delivers on-demand, least-privileged access to infrastructure (for SSH, Kubernetes, RDP, Web, databases, and clouds) on a foundation of cryptographic identity and zero trust, which eliminates the attack surfaces of both shared secrets and standing privileges.
Create Golden Paths for your development teams with Datadog App Builder and Workflow Automation
Improving the developer experience is a chief concern for many orgs who must maintain highly complex software architectures and platforms supported by an intricate web of internal processes. Platform engineering for Golden Paths seeks to address this by providing self-service tools, capabilities, and processes to help engineers start new projects in a more standardized, less mistake-prone way.
Datadog on LLMs: From Chatbots to Autonomous Agents
As companies rapidly adopt Large Language Models (LLMs), understanding their unique challenges becomes crucial. Join us for a special episode of "Datadog On LLMs: From Chatbots to Autonomous Agents," streaming directly from DASH 2024 on Wednesday, June 26th, to discuss this important topic. In this live session, host Jason Hand will be joined by Othmane Abou-Amal from Datadog’s Data Science team and Conor Branagan from the Bits AI team. Together, they will explore the fascinating world of LLMs and their applications at Datadog.
DASH 2024: Guide to Datadog's newest announcements
At this year’s DASH, we announced new products and features that enable your team to observe your environment, secure your infrastructure and workloads, and act to remediate problems before they affect customers. LLM Observability, which enables you to get deep visibility into your generative AI applications, is now generally available. The Datadog Agent now includes an embedded OTel Collector to provide native support for OpenTelemetry.
Unify your OpenTelemetry and Datadog experience with the embedded OTel Collector in the Agent
OpenTelemetry (OTel) is an open source, vendor-neutral observability solution that consists of a suite of components—including APIs, SDKs, and the OTel Collector—that allow teams to monitor their applications and services in a standardized format. OTel defines this data via the OpenTelemetry Protocol (OTLP), a standard for the encoding and transfer of telemetry data that organizations can use to collect, process, and export telemetry and route it to observability backends, such as Datadog.
Monitor, troubleshoot, improve, and secure your LLM applications with Datadog LLM Observability
Organizations across all industries are racing to adopt LLMs and integrate generative AI into their offerings. LLMs have been demonstrably useful for intelligent assistants, AIOps, and natural language query interfaces, among many other use cases. However, running them in production and at an enterprise scale presents many challenges.