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Diffstat (limited to 'docs/guides/troubleshoot/monitor-debug-applications-ebpf.md')
| -rw-r--r-- | docs/guides/troubleshoot/monitor-debug-applications-ebpf.md | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/docs/guides/troubleshoot/monitor-debug-applications-ebpf.md b/docs/guides/troubleshoot/monitor-debug-applications-ebpf.md index 3ebca542..c79a038c 100644 --- a/docs/guides/troubleshoot/monitor-debug-applications-ebpf.md +++ b/docs/guides/troubleshoot/monitor-debug-applications-ebpf.md @@ -9,7 +9,7 @@ custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/trou When trying to troubleshoot or debug a finicky application, there's no such thing as too much information. At Netdata, we developed programs that connect to the [_extended Berkeley Packet Filter_ (eBPF) virtual -machine](/collectors/ebpf.plugin/README.md) to help you see exactly how specific applications are interacting with the +machine](https://github.com/netdata/netdata/blob/master/collectors/ebpf.plugin/README.md) to help you see exactly how specific applications are interacting with the Linux kernel. With these charts, you can root out bugs, discover optimizations, diagnose memory leaks, and much more. This means you can see exactly how often, and in what volume, the application creates processes, opens files, writes to @@ -26,7 +26,7 @@ To start troubleshooting an application with eBPF metrics, you need to ensure yo displays those metrics independent from any other process. You can use the `apps_groups.conf` file to configure which applications appear in charts generated by -[`apps.plugin`](/collectors/apps.plugin/README.md). Once you edit this file and create a new group for the application +[`apps.plugin`](https://github.com/netdata/netdata/blob/master/collectors/apps.plugin/README.md). Once you edit this file and create a new group for the application you want to monitor, you can see how it's interacting with the Linux kernel via real-time eBPF metrics. Let's assume you have an application that runs on the process `custom-app`. To monitor eBPF metrics for that application @@ -58,12 +58,12 @@ dev: custom-app ``` Restart Netdata with `sudo systemctl restart netdata`, or the [appropriate -method](/docs/configure/start-stop-restart.md) for your system, to begin seeing metrics for this particular +method](https://github.com/netdata/netdata/blob/master/docs/configure/start-stop-restart.md) for your system, to begin seeing metrics for this particular group+process. You can also add additional processes to the same group. You can set up `apps_groups.conf` to more show more precise eBPF metrics for any application or service running on your system, even if it's a standard package like Redis, Apache, or any other [application/service Netdata collects -from](/collectors/COLLECTORS.md). +from](https://github.com/netdata/netdata/blob/master/collectors/COLLECTORS.md). ```conf # ----------------------------------------------------------------------------- @@ -107,7 +107,7 @@ Replace `entry` with `return`: ``` Restart Netdata with `sudo systemctl restart netdata`, or the [appropriate -method](/docs/configure/start-stop-restart.md) for your system. +method](https://github.com/netdata/netdata/blob/master/docs/configure/start-stop-restart.md) for your system. ## Get familiar with per-application eBPF metrics and charts @@ -119,7 +119,7 @@ Pay particular attention to the charts in the **ebpf file**, **ebpf syscall**, * sub-sections. These charts are populated by low-level Linux kernel metrics thanks to eBPF, and showcase the volume of calls to open/close files, call functions like `do_fork`, IO activity on the VFS, and much more. -See the [eBPF collector documentation](/collectors/ebpf.plugin/README.md#integration-with-appsplugin) for the full list +See the [eBPF collector documentation](https://github.com/netdata/netdata/blob/master/collectors/ebpf.plugin/README.md#integration-with-appsplugin) for the full list of per-application charts. Let's show some examples of how you can first identify normal eBPF patterns, then use that knowledge to identify @@ -236,17 +236,17 @@ same application on multiple systems and want to correlate how it performs on ea findings with someone else on your team. If you don't already have a Netdata Cloud account, go [sign in](https://app.netdata.cloud) and get started for free. -Read the [get started with Cloud guide](https://learn.netdata.cloud/docs/cloud/get-started) for a walkthrough of +Read the [get started with Cloud guide](https://github.com/netdata/netdata/blob/master/docs/cloud/get-started.mdx) for a walkthrough of connecting nodes to and other fundamentals. Once you've added one or more nodes to a Space in Netdata Cloud, you can see aggregated eBPF metrics in the [Overview -dashboard](/docs/visualize/overview-infrastructure.md) under the same **Applications** or **eBPF** sections that you -find on the local Agent dashboard. Or, [create new dashboards](/docs/visualize/create-dashboards.md) using eBPF metrics +dashboard](https://github.com/netdata/netdata/blob/master/docs/visualize/overview-infrastructure.md) under the same **Applications** or **eBPF** sections that you +find on the local Agent dashboard. Or, [create new dashboards](https://github.com/netdata/netdata/blob/master/docs/visualize/create-dashboards.md) using eBPF metrics from any number of distributed nodes to see how your application interacts with multiple Linux kernels on multiple Linux systems. Now that you can see eBPF metrics in Netdata Cloud, you can [invite your -team](https://learn.netdata.cloud/docs/cloud/manage/invite-your-team) and share your findings with others. +team](https://github.com/netdata/netdata/blob/master/docs/cloud/manage/invite-your-team.md) and share your findings with others. ## What's next? @@ -257,8 +257,8 @@ interacts with the Linux kernel. If you're still trying to wrap your head around what we offer, be sure to read up on our accompanying documentation and other resources on eBPF monitoring with Netdata: -- [eBPF collector](/collectors/ebpf.plugin/README.md) -- [eBPF's integration with `apps.plugin`](/collectors/apps.plugin/README.md#integration-with-ebpf) +- [eBPF collector](https://github.com/netdata/netdata/blob/master/collectors/ebpf.plugin/README.md) +- [eBPF's integration with `apps.plugin`](https://github.com/netdata/netdata/blob/master/collectors/apps.plugin/README.md#integration-with-ebpf) - [Linux eBPF monitoring with Netdata](https://www.netdata.cloud/blog/linux-ebpf-monitoring-with-netdata/) The scenarios described above are just the beginning when it comes to troubleshooting with eBPF metrics. We're excited |