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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 - 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Gain visibility into your Camunda 8 components with Bordant Technologies’ Datadog integration
Candace Shamieh, Alex Guo, Erica Ho · 2024-10-01 · via Datadog | The Monitor blog

Camunda 8 is a process orchestration platform that automates and executes business processes at scale. Many organizations orchestrate their business processes using Camunda 8 Self-Managed because it can operate in their preferred public cloud provider, such as AWS, or in a private cloud, like a Kubernetes cluster. However, hosting Camunda 8 while maintaining its health and performance will require complete visibility into your environment, helping you properly allocate resources and minimize downtime. To effectively manage and optimize orchestration efforts end-to-end, you’ll need a comprehensive monitoring system that enables you to customize alerts, conduct health checks, and collect unique performance metrics that capture the full state of your Camunda 8 components.

Bordant Technologies’ integration provides real-time monitoring of Camunda 8 in Datadog, enhancing the overall reliability and efficiency of your process orchestration efforts. This solution simplifies operational oversight of Camunda 8, helping you proactively identify bottlenecks, verify resource health, and fine-tune performance.

In this post, we’ll discuss how you can:

  • Monitor the health of your Camunda 8 components and prepare for peak loads

  • Use Datadog alerting for continuous uptime

Monitor the health of your Camunda 8 components and prepare for peak loads

After you install the integration, Camunda 8 metrics will start to populate in Datadog. The Camunda 8 integration collects 157 metrics and includes an out-of-the-box dashboard that visualizes execution statistics, resource usage, throughput metrics, and more.

The Camunda 8 Overview dashboard enables you to monitor the health of Zeebe, the process engine powering Camunda 8. You can gain detailed insights regarding your Zeebe components, like gateways (the entry point to a cluster), brokers (the workflow engines that track processes), and exporters (the system that provides an event stream of the state changes that occur within Zeebe). These metrics allow you to confirm that your Camunda 8 components are available and ready to work.

View  of the Camunda 8 Overview dashboard

In the context of Camunda 8, throughput describes how many process state changes can be executed in a given timeframe. The Camunda 8 Overview dashboard visualizes throughput metrics like flow node instances (FNIs), processed tasks, backpressure, and number of processes completed. Having visibility into these metrics helps you quickly identify any errors that occur in your instances, assess runtime behavior, and ensure tasks are processed efficiently. Throughput metrics also enable you to determine whether you need to change cluster configuration, provision additional vCPUs, deprecate underutilized resources, and more. As you fine-tune performance, you can run your own metric-based benchmarks to understand the maximum throughput on a single cluster and size your environment accordingly to prepare for peak loads.

Correlating Camunda 8 metrics with other infrastructure and application metrics that you collect in Datadog allows you to pinpoint the root cause of issues faster and minimize unplanned downtime. As an example, let’s say you work at a telecommunications company that recently deployed Camunda 8 on Kubernetes. The company is currently running a promotion, offering free smartphones to new customers. They use Camunda 8 to orchestrate various backend processes that occur each time a customer joins, such as providing them with a new phone number and updating carrier settings. Through the Camunda 8 dashboard in Datadog, you notice that an alarming percentage of Zeebe Gateway requests are failing, which could lead to brokers becoming overloaded and prevent new customers from joining. You expand the dashboard widget showing the failures and select the related containers option to gain additional context. Scrolling down the Containers page to see the Kubernetes pods, you discover that resources are near exhaustion. You provision more CPU, memory, and disk I/O Kubernetes resources so your Zeebe Gateways can handle incoming requests appropriately.

Use Datadog alerting to maintain continuous uptime

You can use Datadog to set alerts for Camunda 8 metrics and receive real-time notifications in case of an incident or performance issue. For example, you can configure alerts that notify you of any significant drops in throughput, allowing you to prevent unplanned downtime by resolving an issue before it impacts operations. In the case of the telecommunications company that we discussed above, setting up an anomaly detection alert on FNI throughput enables you to be notified early if resource provisioning for new customers is taking longer than expected.

View  of the Monitor Status page displaying an alert that monitors Camunda 8 flow node instance (FNI) throughput

The ability to customize alerts with Datadog monitors gives you control over Camunda 8 performance while strengthening the reliability of your entire system. You can set anomaly monitors that notify you anytime your Camunda 8 metrics deviate from baseline, or metric monitors that trigger anytime metric values exceed your configured alert threshold. In the event of an incident, you can pivot from an alert to Datadog Incident Management to help you initiate the incident response process, notify stakeholders, track status, document postmortem reviews, and more.

Start monitoring Camunda 8 in Datadog today

Bordant Technologies’ Datadog integration provides a holistic view of Camunda 8 performance, enhancing your ability to manage and optimize end-to-end process orchestration. The out-of-the-box Camunda 8 Overview dashboard provides increased visibility into your Camunda 8 platform to keep your components healthy and available, while customizing alerts equips you with the control you need for continuous uptime.

You can get started with a 14-day free trial of the Camunda 8 integration in the Datadog Marketplace. To learn more, visit our documentation. If you’re new to Datadog, sign up for a free trial today.

The ability to promote branded marketing tools is a membership benefit offered through the Datadog Partner Network. If you’re interested in developing an integration or application that you’d like to promote, you can apply to be a Datadog Technology Partner.