feat(tests): add systemd_analyze data as boot time metric

Currently we measure boottime by looking at the Firecracker
logs and waiting for the guest to trigger a special boot device
inside Firecracker.
There is an alternative way of measuring boot time from
a guest perspective by using systemd-analyze. Will help us to understand
boot times better.

Signed-off-by: Egor Lazarchuk <[email protected]>

Author: ShadowCurse

tests/integration_tests/performance/test_boottime.py

@@ -69,6 +69,31 @@ def find_events(log_data):
     return timestamps
 
 
+def get_systemd_analyze_times(microvm):
+    """
+    Parse systemd-analyze output
+    """
+    rc, stdout, stderr = microvm.ssh.run("systemd-analyze")
+    assert rc == 0, stderr
+    assert stderr == ""
+
+    boot_line = stdout.splitlines()[0]
+    pattern = r"Startup finished in (.*)\s+\(kernel\) \+ (.*)\s+\(userspace\) = (.*)\s*"
+    kernel, userspace, total = re.findall(pattern, boot_line)[0]
+
+    def to_ms(v):
+        if "ms" not in v:
+            return int(v.strip()[:-1]) * 1000
+        else:
+            return int(v.strip()[:-2])
+
+    kernel = to_ms(kernel)
+    userspace = to_ms(userspace)
+    total = to_ms(total)
+
+    return kernel, userspace, total
+
+
 @pytest.mark.parametrize(
     "vcpu_count,mem_size_mib",
     [(1, 128), (1, 1024), (2, 2048), (4, 4096)],
@@ -112,4 +137,10 @@ def test_boottime(
             boottime_us - build_time.microseconds,
             unit="Microseconds",
         )
+
+        kernel, userspace, total = get_systemd_analyze_times(vm)
+        metrics.put_metric("systemd_kernel", kernel, unit="Milliseconds")
+        metrics.put_metric("systemd_userspace", userspace, unit="Milliseconds")
+        metrics.put_metric("systemd_total", total, unit="Milliseconds")
+
         vm.kill()