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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 Monitor Aruba Central in Datadog How we centralize and remediate risks with Datadog Case Management Accelerate incident response with Datadog and ServiceNow Monitor your application and network load balancer logs Understanding Karpenter architecture for Kubernetes autoscaling Tools for collecting metrics and logs from Karpenter Monitor Karpenter with Datadog What your product data is actually saying Key metrics for monitoring Karpenter Securing Datadog’s platform in the AI age: The role of observability data Four ways engineering teams use the Datadog MCP Server to power AI agents Approaching your observability migration with the right mindset Meet the new Bits AI SRE: Deeper reasoning, twice as fast Key learnings from the 2026 State of DevSecOps study Use plain English to query your multi-cloud infrastructure in Resource Catalog Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring Protect your OCI resources with Datadog Cloud Security This Month in Datadog - February 2026 Amazon EC2 security: How misconfigured and public AMIs expand your cloud attack surface Enable end-to-end visibility into your Java apps with a single command Measure and improve mobile app startup performance with Datadog RUM Evaluating our AI Guard application to improve quality and control cost Identify untested code across every level of your codebase Make use of guardrail metrics and stop babysitting your releases Monitor Versa Networks SD-WAN performance in Datadog Improve performance and reliability with APM Recommendations Remediate transitive vulnerabilities faster with Datadog Software Composition Analysis Generate audit-ready vulnerability and compliance reports with Datadog Sheets Monitor Fortinet FortiManager performance in Datadog Improve test coverage across codebases with Datadog Code Coverage Move fast, don’t break things: Consistent testing standards at scale Enrich logs with ServiceNow CMDB context before routing to any SIEM or logging tool Monitor Lustre with Datadog Make faster, better product decisions with Datadog Product Analytics Surface and remediate runtime posture issues with Workload Protection Findings Protect agentic AI applications with Datadog AI Guard How to optimize JavaScript code with CSS Trace Google Pub/Sub workloads in Cloud Run with Datadog Detect human names in logs with ML in Sensitive Data Scanner How we cut our NLQ agent debugging time from hours to minutes with LLM Observability Debug PostgreSQL query latency faster with EXPLAIN ANALYZE in Datadog Database Monitoring Datadog acquires Propolis Unify and correlate frontend and backend data with retention filters Scale compliance across global frameworks with Datadog Cloud Security Monitor Arista VeloCloud SD-WAN performance with Datadog Building reliable dashboard agents with Datadog LLM Observability Simplify log collection and aggregation for MSSPs with Datadog Observability Pipelines Mitigation for Node.js denial-of-service vulnerability affecting Datadog APM Automate flaky test fixes with the Bits AI Dev Agent and Test Optimization How we built an AI SRE agent that investigates like a team of engineers Datadog integrations 2025 recap: Observability for AI, security, and hybrid cloud Design effective executive dashboards with Datadog Implement dbt data quality checks with dbt-expectations Bring faster visibility into AWS Lambda functions with remote instrumentation Troubleshoot faster with the GitLab Source Code integration in Datadog How Cambia Health Solutions saved $30,000 monthly with Cloud Cost Management and the Datadog Resource Catalog Normalize any logs for Cloud SIEM with Datadog's OCSF processor Optimizing Datadog at scale: Cost-efficient observability at Zendesk Detect, diagnose, and resolve network issues easily with CNM Network Health Connect engineering errors to user impact in early-stage products Cilium configuration for Kubernetes operations at scale Designing feedback loops for progressive delivery Ship features faster and safer with Datadog Feature Flags Choosing the right OpenTelemetry Collector distribution Route your monitor alerts with Datadog monitor notification rules Automate Cloud SIEM investigations with Bits AI Security Analyst Cloud threat detection: How to identify risky activity across control and data planes Collecting Kafka performance metrics Monitoring Kafka with Datadog Monitoring Kafka performance metrics
A closer look at our navigation redesign
Kay Dobesh, Addie Beach · 2024-04-16 · via Datadog | The Monitor blog

Helping our users gain end-to-end visibility into their systems is key to the Datadog platform— to achieve this, we offer over 20 products and more than 1,000 integrations. However, with an ever-expanding, increasingly diverse catalog, it’s more important than ever that users have clear paths for quickly finding what they need.

We recently launched a redesign of our navigation aimed at helping users better explore our platform and quickly find what they’re looking for. This project involved studying real-user interactions; reevaluating key design decisions including color schemes, character spacing, and element positioning; and clearly defining hierarchies and relationships among our features. At the heart of our efforts was a focus on making our features easier to find, easier to take advantage of, and easier to read.

A major goal of this redesign was to organize features in a way that better reflects how many of our users actually interact with Datadog. For the sidebar, this meant considering which features we consider “core” to our platform, how this aligns with usage patterns across our platform, and which tools can help users find the features they need the fastest.

For easy access, we’ve placed our most frequently used functionality at the top and bottom of the sidebar. At the top, you can find our search bar next to your recently accessed pages, enabling you to quickly pivot to different areas of the platform. In particular, recently accessed pages can include monitors, dashboards, and notebooks, making it easy to jump back into ongoing projects. Direct links to popular features such as Watchdog and Service Management are also included in this top section for quick access.

The Datadog sidebar, with the search bar, recently accessed pages, and popular features highlighted.

In the middle of the sidebar, we’ve placed features that are designed, by drawing on data from across our platform, to help users monitor complex systems. These are organized by product area—including Infrastructure, APM, Digital Experience, Software Delivery, and Security—enabling your teams to quickly find features that are most relevant to their day-to-day needs. For example, by hovering over the Security icon, you can jump directly to Cloud SIEM, Code Security, Cloud Security, App & API Protection, Workload Protection, and Sensitive Data Scanner.

The Datadog sidebar, with the Security menu expanded.

Within each sub-navigation menu, products and features are ordered both by their usage and relationship to each other. The lists within these menus are designed to be highly scannable—the left column displays the key highlights for each feature to help you quickly understand their functionality, with more detailed configuration and setup options listed on the right.

Towards the bottom of the sidebar, you can find our “core features.” These features—such as metrics and logs—collect data that populates the rest of our offerings, making them the backbone of our platform and a frequent resource for users. For example, most of our users query logs to troubleshoot issues—regardless of which particular team they’re on—in order to analyze data such as error messages, infrastructure health signals, and suspicious user requests. By placing logs at the bottom of the sidebar, users can quickly access and pivot to log data for fast investigations without needing to search through other menus of features.

The Datadog sidebar, with the metrics and logs links highlighted.

Streamline Datadog workflows with collaboration and support resources

At the bottom of the sidebar, we offer a variety of resources to help you use Datadog even more efficiently. As with our core features, their functionality spans our entire platform and is applicable to nearly all of our users. For example, here, you can find our integrations, which enable you to easily collect data from apps across your tech stack and monitor it via out-of-the-box tools. You can also access Bits AI, our AI-powered conversational interface that surfaces findings from the entire Datadog platform, bringing together data such as security signals, Watchdog insights, real-time user transactions, and cloud costs. This section also contains our CoScreen feature, which helps your teams quickly collaborate within a shared digital workspace, enabling them to use Datadog windows, IDEs, and developer tools side-by-side.

The Datadog sidebar, with the integrations and BitsAI links highlighted as well as support and admin resources.

Below this section, you can find administrative settings and troubleshooting features, including our Help and Support resources. These features are essential for helping users navigate the Datadog platform. We’ve placed them at the very bottom of the sidebar, where they’re quick to find without drawing attention away from other features that users spend most of their time interacting with on a daily basis.

All throughout the redesign project, a top priority was making sure that changes didn’t come at the sacrifice of readability. In the process, we also found a couple of places where we could update our current schema. For example, we’ve updated the colors in our sidebar to have even greater contrast. This contrast carries over into both light and dark mode, making it easy to read no matter a user’s preference. This contrast also makes our sidebar more accessible to users with low vision or photosensitivity.

We’ve also provided more space for favorites, which makes their (often lengthy) titles easier to parse. Because favorites can encompass a wide range of features, they must be able to accommodate a wide range of title conventions. For example, a dashboard or notebook is probably going to have a longer name than a feature page, as its title may include details such as incident descriptions, timestamps, and lists of objectives. By expanding the characters that can fit in the sidebar, it’s easier to quickly see the names of your favorites as you’re switching among contexts.

The Datadog sidebar, with the dashboard menu expanded to show favorites.

With our navigation redesign, we’ve made our app easier to navigate, explore, and read. All this adds up to a more intuitive sidebar and a more streamlined product, helping you find the tools you need and take action on issues even faster.

You can check out the redesign in the app now. Or, if you’re not yet a Datadog user, you can sign up for a 14-day free trial today.