You’re wrestling with audit logs. Specifically, FSx for NetApp ONTAP file access audit logs. And if you’re like most, you’re probably sending them through the same tired EC2-based patterns that have plagued IT for a decade. Mount an audit volume. Stick an agent on it. Hope for the best. It works, sure. But it’s also… a mess.
Patching servers. Juggling NFS mounts. Configuring log forwarders. Building your own high-availability setup because, naturally, one instance is never enough. It’s the classic “works, but why?” scenario. And frankly, it’s a relic.
But what if you could punt all that operational overhead to AWS managed services? What if Lambda could slurp those logs using S3 APIs, no EC2 fuss required? That’s the promise of a new open-source pattern library, and it’s about damn time someone built it.
The core problem, as laid out by the project’s creator, is the inertia of existing solutions. The official AWS blog posts, bless their hearts, point you toward EC2. It’s familiar. It’s… what you do. But it’s not smart. It’s not efficient. It’s not the future.
This new architecture flips the script. Instead of EC2 instances acting as clumsy intermediaries, it use an FSx for ONTAP S3 Access Point. This lets applications, like your Lambda functions, talk to the audit data using S3 APIs. The data itself still lives on your FSx for ONTAP volume, mind you. It’s not being punted off to some S3 bucket, never to be seen again. It’s just accessed differently.
So, how does this magic happen? EventBridge Scheduler wakes up a Lambda function on a schedule. This Lambda function then uses checkpointing to figure out which new log files have been generated. It reads them via the S3 Access Point. Then, it normalizes the data and ships it off to your observability platform of choice – think Datadog, Splunk, New Relic, you name it.
There’s a key distinction to be made here, and it’s worth noting. ONTAP has two audit streams: cluster/admin activity and file access. This project focuses squarely on the latter – the nitty-gritty of who’s opening, reading, and deleting your files. The administrative operations are a separate beast, typically handled via syslog. This new pattern sidesteps that entirely for file access.
ONTAP’s file access auditing writes rotated audit log files to a configured destination path inside the SVM. In this project, that destination is an audit volume exposed through an FSx for ONTAP S3 Access Point. Lambda does not mount NFS or SMB; it reads the rotated audit log files through S3 APIs.
The beauty here is the serverless nature. No EC2 instances to manage. No persistent servers that need constant attention. Lambda runs when it needs to, processing logs, and then it goes away. EventBridge Scheduler handles the timing. It’s a lean, mean, logging machine.
And before you get confused about S3 Access Points: yes, they’re powerful. They let you use S3 APIs on data still residing on FSx for ONTAP. But don’t expect S3 ObjectCreated notifications to fire reliably here. That’s why the EventBridge Scheduler and checkpointing combo is so vital. It’s a more strong way to ensure you don’t miss a single log event.
This isn’t just about avoiding EC2. It’s about adopting a more modern, cloud-native approach to observability. It’s about reducing your operational burden and, let’s be honest, cutting costs associated with idle or underutilized EC2 instances. It’s about freeing up your valuable engineering time for tasks that actually move the needle.
This is EC2-free, not necessarily Lambda-only. For things like FPolicy — which requires a persistent TCP listener — the project uses ECS Fargate. It’s about using the right tool for the right job, not forcing everything into a single paradigm. But for the bulk of file access audit logging, Lambda is the clear winner.
The project also lays out the three distinct channels ONTAP uses for observability data: file access audit logs, audit logs for cluster/admin activity, and the FPolicy binary protocol. This new pattern tackles the first, with Fargate handling the third when needed. It’s a holistic, if segmented, approach.
Will this become the de facto standard for FSx for ONTAP audit logs? It has all the ingredients. It addresses a clear pain point with a sensible, modern solution. It’s open-source. It’s leveraging managed services. It’s the kind of pragmatic innovation that actually makes a difference in day-to-day operations.
It’s a stark contrast to the “lift and shift” mentality that often plagues cloud migrations. This is more like “re-architect and optimize.” And for anyone managing FSx for ONTAP, it’s a welcome, overdue development.
Why Is This EC2-Free Approach Better?
Because EC2 instances are a liability. They need patching, monitoring, and constant babysitting. They represent a fixed cost, even when idle. By offloading the log processing to Lambda and EventBridge Scheduler, you’re shifting to a pay-as-you-go model that scales automatically. Plus, you eliminate a significant attack surface and operational burden. It’s not just about saving money; it’s about reducing complexity and increasing agility.
What Platforms Does This Support?
The project is designed with broad compatibility in mind. It aims to ship normalized events to major observability platforms including Datadog, Splunk, New Relic, Grafana Cloud, Elastic, and any backend compatible with OpenTelemetry. The normalization step is key, ensuring your data is readily usable across different vendor ecosystems.
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Frequently Asked Questions
What does FSx for ONTAP audit logging do? FSx for ONTAP audit logging records file operations (like open, read, write, delete) and administrative actions within your ONTAP file system. This is critical for security monitoring, compliance, and troubleshooting.
Will this replace my EC2 instances for logging? Yes, this new pattern is specifically designed to replace EC2-based log forwarding solutions for FSx for ONTAP file access audit logs, opting for serverless AWS services like Lambda and EventBridge.
Can I send logs to Splunk using this method? Absolutely. The project supports shipping normalized events to multiple observability platforms, including Splunk, alongside others like Datadog, New Relic, and Elastic.
