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cleanup(config): improve config for new metrics
Co-authored-by: Stanley Chan <pocketgamer5000@gmail.com> Signed-off-by: Melissa Kilby <melissa.kilby.oss@gmail.com>
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falco.yaml
31
falco.yaml
@ -566,7 +566,7 @@ base_syscalls:
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custom_set: []
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repair: false
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# metrics: periodic stats and resource utilization metrics, initial release
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# metrics: [EXPERIMENTAL] periodic metric snapshots (stats and resource utilization)
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#
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# --- [Description]
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#
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@ -582,11 +582,9 @@ base_syscalls:
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#
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# --- [Usage]
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#
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# `enabled`:
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# Disabled by default.
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#
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# Env variable `-E FALCO_HOSTNAME=myhostname` customizes hostname for Kubernetes
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# deployments where the hostname can be equivalent to the pod name.
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#
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# `interval`:
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# Define the stats interval following the Prometheus time duration definitions.
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# https://prometheus.io/docs/prometheus/latest/querying/basics/#time-durations
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@ -610,37 +608,44 @@ base_syscalls:
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# 6h
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#
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# `output_rule`:
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# Emit metrics as rule `Falco internal: resource utilization stats metrics`.
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# We recommend this option for seamless performance monitoring especially
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# Emit metrics as rule `Falco internal: metrics snapshot`.
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# We recommend this option for seamless metrics and performance monitoring especially
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# if Falco logs are preserved in a data lake.
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# Note: This option requires setting `log_level` at minimum to `info`.
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# Note: This option at minimum requires setting `log_level` to `info`.
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#
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# `output_file`:
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# Append stats to a `jsonl` file. Use with caution in production, Falco does not rotate the file.
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#
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# `resource_utilization_enabled`:
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# Emit CPU and memory usages. CPU usage is percentage of one CPU,
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# can be normalized to total number of CPUs to determine overall usage.
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# Emit CPU and memory usages. CPU usage is percentage of one CPU and can
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# be normalized to total number of CPUs to determine the overall usage.
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# Memory metrics are currently kept in raw units, `kb` for RSS, PSS and VSZ
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# or `bytes` for container_memory_used. Use `convert_memory_to_mb` to
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# uniformly convert each memory metric to MB.
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# `-E FALCO_CGROUP_MEM_PATH=customfile` let's you customize the container_memory_used
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# file which defaults to Kubernetes `/sys/fs/cgroup/memory/memory.usage_in_bytes` that is
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# Creating and setting an environmnet variable `FALCO_CGROUP_MEM_PATH=customfile`
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# let's you customize the container_memory_used file which defaults to Kubernetes
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# `/sys/fs/cgroup/memory/memory.usage_in_bytes` holding the memory metric that is
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# similar to Kubernetes `container_memory_working_set_bytes` of the Falco container.
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#
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# `kernel_event_counters_enabled`:
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# Emit kernel side event and drop counters, compare to `syscall_event_drops`,
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# however this option reflects monotonic counters since Falco start,
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# exported at a constant stats interval and therefore can be regarded as an alternative.
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# kernel event counters are prefixed with `n_` e.g. `n_evts`, `n_drops`, `n_drops_buffer_total` ...
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# kernel event counters are prefixed with `k.` vs userspace counters with `u.` ...
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#
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# `libbpf_stats_enabled`:
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# Exposes `bpftool prog show` like stats, e.g. number of invocations
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# of each bpf program Falco attached as well as time spent in each program in nanoseconds.
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# Requires kernels >= 5.1 plus kernel config `bpf_stats_enabled`.
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# Requires kernels >= 5.1 plus setting kernel config `/proc/sys/kernel/bpf_stats_enabled`.
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# This option or equivalent stats are not supported for non `*bpf*` drivers.
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# Note that currently `libbpf` does not support stats granularity at the bpf tail call level.
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#
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# Customization with relevant environment variables:
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# Creating an env variable `FALCO_HOSTNAME=myhostname` customizes the hostname,
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# especially useful for Kubernetes deployments where the hostname can be equivalent to the pod name.
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# Refer to section `resource_utilization_enabled` re customization via creating an
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# env variable `FALCO_CGROUP_MEM_PATH=customfile` to point to a custom file holding the memory metric.
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#
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# todo: Prometheus export option
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# todo: userspace_syscall_event_counters_enabled option
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