With LLM Observability, now generally available, you can monitor and evaluate your LLM-powered applications, allowing you to accelerate troubleshooting, improve quality of responses, and detect security issues.

The majority of Kubernetes workloads are overprovisioned — as a result, rightsizing your workloads has the potential to deliver significant savings. However, balancing cost efficiency with cluster performance can be challenging. Datadog Kubernetes Autoscaling provides multi-dimensional workload scaling recommendations that demonstrate how you can rightsize your clusters without impacting stability, as well as automation that enables you to quickly implement these recommendations.

Achieve enhanced flexibility over your log data using a suite of capabilities in a powerful, collaborative space that allows you to transform and join datasets, build and visualize sophisticated queries, and create saved views and executive reports—all in one seamless, user-friendly, and collaborative environment.

The Datadog Agent now embeds a fully configurable OpenTelemetry(OTel) Collector, enabling customers to take advantage of Datadog’s industry-leading observability solutions while accessing the complete capabilities of the OTel Collector. Customers can easily manage their fleet of embedded OTel Collectors with Datadog’s Fleet Automation and onboard faster with unified tagging, all while benefiting from Datadog’s enterprise-grade reliability and resources.

Scan vulnerabilities across your AWS infrastructure within minutes without the Datadog Agent. Datadog Agentless Scanning provides vulnerability detection and management across your infrastructure (containers, container images, hosts, Amazon Machine Images / AMIs, and Lambda functions) without the Datadog Agent. If preferred, you can later add the Datadog Agent for deeper security and observability context.

Today, teams have to fix misconfigured cloud resources directly through the console, or go through a long process of creating a ticket and waiting for the underlying infrastructure-as-code (IaC) to be fixed by the engineering team. The first option creates drift, which makes the situation worse. The second option is ideal, but can take time, during which your environment remains vulnerable. Now, once Datadog Cloud Security Management detects a misconfiguration, you can deploy a remediation with Datadog's one-click IaC remediation, all from a centralized platform.

Datadog Data Security detects sensitive data—such as credit cards and personally identifiable information (PII)—within your AWS S3 buckets and RDS instances and helps you prioritize fixing related security issues.

Datadog Code Security detects code-level vulnerabilities in production environments by continuously monitoring your application at runtime. With a unique, production-ready Interactive Application Security Testing (IAST) approach, Code Security allows DevOps and Security teams to identify and prioritize the most critical vulnerabilities before they become costly breaches, all while providing actionable insights and recommended fixes.

Software Composition Analysis (SCA) scans your code for vulnerabilities detected in open source libraries. It helps you manage third-party dependencies across your codebase and detects vulnerabilities throughout the software development lifecycle, bringing faster feedback to your development teams through pull requests, quality gates, and more.

With Datadog Live Debugger, you can debug any application with live production data at every step of the process. By gathering the production variable values and application context in one place, Live Debugger can guide you through the actual execution paths in code, saving your team hours and allowing you to focus on fixing bugs.

Continuing the evolution in our Digital Experience Monitoring suite, Product Analytics is a new product that allows you to analyze retention, conversion, engagement, and acquisition data of your application's data in key visualizations. Product Analytics helps connect your business by bringing together business and engineering teams to a dedicated UI to collaborate on driving better user experiences and business outcomes.

Most incidents are triggered by changes. Change Tracking streamlines incident response by surfacing relevant changes to aid in debugging and remediation. Resolve issues quickly and easily without ever leaving the monitor page.

Bits AI, Datadog’s generative AI copilot can now autonomously investigate alerts and coordinate incidents, offering faster resolutions and boosting operational efficiency.

Built by on-call engineers for on-call engineers, Datadog On-Call supports everything you need from a paging solution and combines it with everything you already love about the Datadog platform. You can now go from getting paged, to investigating the issue, to declaring an incident all without losing context to help you better observe, secure, and take action.