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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis
Datadog APM recognized as Gartner Peer Insights Customers...
2020-11-30 · via Datadog | The Monitor blog

Datadog is excited to celebrate our 2020 selection as Customers’ Choice for Application Performance Monitoring in Gartner Peer Insights “Voice of the Customer.” Datadog Application Performance Monitoring empowers customers to monitor, troubleshoot, and optimize end-to-end application performance in a single pane of glass.

Gartner Peer Insights is a peer review platform that recognizes vendors that are highly rated by their customers through the Customers’ Choice Distinction. In order to qualify for this accolade, vendors must represent a diverse set of enterprise clients and have an average rating that is above or equal to the mean rating for the market from at least 50 reviewers. All reviews are thoroughly vetted for authenticity to ensure that the average rating is representative of real customer experiences.

We’re proud of the customer reviews we’ve received through Gartner Peer Insights. A Software Engineer in the Services Industry called Datadog APM the “Swiss army knife of software monitoring,” and a CTO in the Services Industry described Datadog APM as “the best monitoring product in the market.” A Head of Cloud Operations in the Finance Industry praised Datadog’s ability to respond to customer feedback, calling us an “excellent partner who is open to business needs and feature developments to address those needs.”

Datadog APM provides unparalleled visibility into modern applications through a wide range of offerings, including App Analytics, Watchdog, and the Service Map. By surfacing anomalies, mapping service dependencies, and tracing requests from end to end, Datadog APM enables you to deliver a stronger user experience. Give it a try today with a 14-day free trial.

This content, which provides opinions and points of view expressed by users, does not represent the views of Gartner; Gartner neither endorses it nor makes any warranties about its accuracy or completeness.