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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 acquires Cloudcraft
2022-11-21 · via Datadog | The Monitor blog

A well-designed cloud architecture is essential to ensure that the underlying infrastructure stays operational, within budget, and compliant over time. These days, organizations are rapidly spreading their infrastructure across a broad, complex mesh of interconnected resources and services. It can be difficult to make high-level decisions about the design and management of these systems. This is why many organizations are now turning to cloud infrastructure modeling tools. We’re pleased to announce that Cloudcraft—a powerful real-time cloud infrastructure modeling solution—is joining Datadog.

What is Cloudcraft?

Cloudcraft offers real-time visualization of cloud infrastructures, enabling users to build dynamic architecture models that detail configurations, cost, and inter-service interactions. Cloudcraft is optimized for cloud platforms, instantly analyzing service relationships to populate a system architecture diagram. When your architecture changes, Cloudcraft automatically detects the new infrastructure and updates your diagrams accordingly. Adding Cloudcraft’s diagramming helps developers use data to inform responsive, robust, and secure changes to production. Cloudcraft is also highly collaborative, enabling teams to easily share and edit diagrams online and then export to docs, wikis, and presentations.

Visualize your cloud architecture with dynamic diagrams

Datadog + Cloudcraft

We are pleased to welcome the Cloudcraft team to Datadog, and we look forward to working together to provide our customers with robust, dynamic architecture diagrams. Combining Datadog’s real-time observability data with Cloudcraft will allow customers to shift monitoring even further left, supporting cloud migrations, container adoptions, and other common architectural changes. For more information, check out our press release—and stay tuned for future updates!