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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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Monitor AIX with the Datadog Unix Agent
2019-04-16 · via Datadog | The Monitor blog

Even in an era where container, serverless, and cloud-computing technologies garner considerable attention, many companies continue to run a sizeable share of their mission-critical applications on highly resilient, fault-tolerant systems such as IBM AIX on Power-series hardware. AIX, one of the most popular Unix-based operating systems, is trusted by large companies that process critical data such as medical health records and banking transactions. As such, AIX tends to power large, complex systems that require accurate, real-time performance monitoring.

We are proud to announce our release of the Datadog Unix Agent for AIX as generally available. The Agent is written with AIX in mind and, similar to our Agents for other operating systems, is completely open source.

The Agent currently supports the following AIX versions for the GA release:

  • 6.1 TL9 SP6+
  • 7.1 TL5 SP3+
  • 7.2 TL3 SP0+

A native experience

Our new Agent installer ships in an AIX-native .BFF file format, so there’s no need for fetching and fiddling with multiple scripts and components. Installation is as easy as navigating to our Agent download page within Datadog and running the one-line install script.

Once installed, the Agent runs as a daemon, which you can control using the default Subsystem Resource Controller (SRC) commands that you are already familiar with. Obtaining Agent information and submitting flares for troubleshooting also work the same as in other operating systems, so if you’ve used the Datadog Agent on Linux or Windows, you should feel right at home.

Additionally, we recognize that security is of the utmost importance for our customers on AIX, so the agent runs as a separate (non-root) user with options to enable privileged access within certain integrations should you need it.

System-level metrics

Out-of-the-box dashboard for AIX servers

Monitoring system-level metrics forms the basis for any infrastructure monitoring strategy. The Agent automatically collects several detailed metrics in real time from your AIX servers, which you can use for visualization, correlation, and intelligent alerting in Datadog:

  • CPU
  • Filesystem usage
  • Load
  • Memory
  • Swap
  • Uptime
  • Network
  • Disk

Beyond the system

Datadog’s support for monitoring AIX extends beyond those core system-level metrics, so you can collect metrics from lparstat and iostat; monitor individual AIX processes; gather data from custom integrations running on AIX; and submit custom metrics via DogStatsD.

Metrics from lparstat and iostat

The iostat tool provides I/O data on physical and virtual devices. The Agent uses this data to report metrics on disk read/writes, xfers (transfers), queue times, and more.

Similarly, the lparstat tool provides information and usage statistics on the Logical Partition (LPAR) and hypervisor. The Agent collects useful data reported from this tool, such as processor utilization metrics from the Scaled Processor Utilization Resource Register (SPURR).

lparstat and iostat dashboard
lparstat and iostat dashboard

Individual process monitoring

The Datadog process check, which ships with the Datadog Agent, allows you to collect resource usage metrics for specific running processes. This check can be used alongside a process monitor to set up alerts based on process uptime.

Custom integration support

If you’re running custom applications on AIX that you need to monitor, it’s easy to write your own Python-based integration checks (or port ones already written for other operating systems) for the AIX Agent. Refer to our developer guide to get started with your own custom checks.

Dogstatsd for custom metrics (beta)

You can also collect and submit custom metrics from your applications via beta support for Dogstatsd in the AIX Agent. Once enabled, Dogstatsd will listen on a predefined UDP port for any custom metrics that you send to it.

What’s next

We’d love for you to try the Unix Agent for AIX and provide us with your feedback. We look forward to increasing our integration support on AIX, starting with metrics from the IBM Hardware Management Console (HMC).

If you’re already using Datadog, you can visit our documentation and start using the new AIX Agent today. If you don’t yet have a Datadog account, you can get started right away with a 14-day free trial.