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feat(distribution/systemd): add [email protected] and [email protected]

Open FlorentinDUBOIS opened this issue 2 years ago • 15 comments
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Hello :wave: ,

For production reasons, I had to create systemd template service to create a separation between an instance of vector that run multiple workloads that do not interact. I propose this modification here.

Have a nice day.

FlorentinDUBOIS avatar Jun 30 '23 09:06 FlorentinDUBOIS

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netlify[bot] avatar Jun 30 '23 09:06 netlify[bot]

@spencergilbert I have updated the systemd units with all your comments. Let me know, if you want me to do another modifications.

FlorentinDUBOIS avatar Jul 10 '23 15:07 FlorentinDUBOIS

I will update the packaging as well. I maintain the packaging for exherbo distribution which is a fork of gentoo. The manifest is here https://gitlab.exherbo.org/exherbo-unofficial/CleverCloud/-/tree/master/packages/sys-apps/vector

FlorentinDUBOIS avatar Jul 10 '23 16:07 FlorentinDUBOIS

The earlier CI failure is a problem with the job itself, not the changes - I'll merge in the fix once we have it.

spencergilbert avatar Jul 10 '23 17:07 spencergilbert

Regression Detector Results

Run ID: 07f9c5fa-410d-440b-9199-55281b599eb7
Baseline: d2bc9ddb69ba7769288f78cb60c3000809253843
Comparison: 0a9d50430a7dd0cb5bf67f57c0dfb7f9cf1cef38
Total vector CPUs: 7

Explanation

A regression test is an integrated performance test for vector in a repeatable rig, with varying configuration for vector. What follows is a statistical summary of a brief vector run for each configuration across SHAs given above. The goal of these tests are to determine quickly if vector performance is changed and to what degree by a pull request.

Because a target's optimization goal performance in each experiment will vary somewhat each time it is run, we can only estimate mean differences in optimization goal relative to the baseline target. We express these differences as a percentage change relative to the baseline target, denoted "Δ mean %". These estimates are made to a precision that balances accuracy and cost control. We represent this precision as a 90.00% confidence interval denoted "Δ mean % CI": there is a 90.00% chance that the true value of "Δ mean %" is in that interval.

We decide whether a change in performance is a "regression" -- a change worth investigating further -- if both of the following two criteria are true:

  1. The estimated |Δ mean %| ≥ 5.00%. This criterion intends to answer the question "Does the estimated change in mean optimization goal performance have a meaningful impact on your customers?". We assume that when |Δ mean %| < 5.00%, the impact on your customers is not meaningful. We also assume that a performance change in optimization goal is worth investigating whether it is an increase or decrease, so long as the magnitude of the change is sufficiently large.

  2. Zero is not in the 90.00% confidence interval "Δ mean % CI" about "Δ mean %". This statement is equivalent to saying that there is at least a 90.00% chance that the mean difference in optimization goal is not zero. This criterion intends to answer the question, "Is there a statistically significant difference in mean optimization goal performance?". It also means there is no more than a 10.00% chance this criterion reports a statistically significant difference when the true difference in mean optimization goal is zero -- a "false positive". We assume you are willing to accept a 10.00% chance of inaccurately detecting a change in performance when no true difference exists.

The table below, if present, lists those experiments that have experienced a statistically significant change in mean optimization goal performance between baseline and comparison SHAs with 90.00% confidence OR have been detected as newly erratic. Negative values of "Δ mean %" mean that baseline is faster, whereas positive values of "Δ mean %" mean that comparison is faster. Results that do not exhibit more than a ±5.00% change in their mean optimization goal are discarded. An experiment is erratic if its coefficient of variation is greater than 0.1. The abbreviated table will be omitted if no interesting change is observed.

No interesting changes in experiment optimization goals with confidence ≥ 90.00% and |Δ mean %| ≥ 5.00%.

Fine details of change detection per experiment.
experiment goal Δ mean % Δ mean % CI confidence
datadog_agent_remap_blackhole_acks ingress throughput +1.35 [+1.25, +1.46] 100.00%
syslog_loki ingress throughput +1.16 [+1.07, +1.25] 100.00%
datadog_agent_remap_datadog_logs_acks ingress throughput +1.01 [+0.90, +1.11] 100.00%
file_to_blackhole egress throughput +0.92 [-2.79, +4.62] 24.91%
otlp_http_to_blackhole ingress throughput +0.89 [+0.76, +1.03] 100.00%
syslog_regex_logs2metric_ddmetrics ingress throughput +0.60 [+0.28, +0.92] 98.37%
socket_to_socket_blackhole ingress throughput +0.44 [+0.39, +0.49] 100.00%
datadog_agent_remap_datadog_logs ingress throughput +0.31 [+0.21, +0.41] 99.99%
otlp_grpc_to_blackhole ingress throughput +0.18 [+0.07, +0.29] 96.21%
http_to_http_acks ingress throughput +0.15 [-1.11, +1.41] 12.16%
enterprise_http_to_http ingress throughput +0.03 [-0.00, +0.06] 74.01%
splunk_hec_to_splunk_hec_logs_acks ingress throughput +0.01 [-0.06, +0.07] 12.42%
fluent_elasticsearch ingress throughput +0.00 [-0.00, +0.00] 44.47%
splunk_hec_indexer_ack_blackhole ingress throughput +0.00 [-0.04, +0.04] 0.05%
splunk_hec_to_splunk_hec_logs_noack ingress throughput -0.02 [-0.06, +0.03] 37.60%
http_to_http_json ingress throughput -0.02 [-0.06, +0.02] 50.94%
http_to_http_noack ingress throughput -0.03 [-0.09, +0.03] 47.81%
http_text_to_http_json ingress throughput -0.45 [-0.52, -0.39] 100.00%
syslog_splunk_hec_logs ingress throughput -1.18 [-1.26, -1.10] 100.00%
syslog_humio_logs ingress throughput -1.35 [-1.43, -1.27] 100.00%
syslog_log2metric_splunk_hec_metrics ingress throughput -1.60 [-1.69, -1.52] 100.00%
syslog_log2metric_humio_metrics ingress throughput -2.18 [-2.27, -2.09] 100.00%
datadog_agent_remap_blackhole ingress throughput -2.63 [-2.73, -2.52] 100.00%
splunk_hec_route_s3 ingress throughput -3.90 [-4.04, -3.75] 100.00%

github-actions[bot] avatar Jul 11 '23 17:07 github-actions[bot]

Hello @jszwedko, thank you for the review.

I think that the systemd template service and the service don't have the same purpose. The templated versions allow to isolate workload through the --config-toml option where the service allow to run all files on the directory /etc/vector. To me, there are complementary so that's why which should distribute both.

FlorentinDUBOIS avatar Jul 12 '23 11:07 FlorentinDUBOIS

Hello @jszwedko, thank you for the review.

I think that the systemd template service and the service don't have the same purpose. The templated versions allow to isolate workload through the --config-toml option where the service allow to run all files on the directory /etc/vector. To me, there are complementary so that's why which should distribute both.

Gotcha, yeah, I see. My main concern is these two sets of unit files becoming out-of-sync with each other. I realize the default one runs all files in /etc/vector. I'm just wondering if we could use the SystemD DefaultInstance directive and only ship the template files 🤔

jszwedko avatar Jul 18 '23 19:07 jszwedko

Hello @jszwedko, I missed your last message. I checked what does the DefaultInstance systemd directive and for what I understand, this will not emulate the same behavior as the current vector.service. To explain myself, if we use the DefaultInstance systemd directive in the [email protected] in will point to only one file which will be config.toml(for the example, the directive could be [email protected]) whereas the vector.service will load and use all configurations in the directory /etc/vector that it found.

FlorentinDUBOIS avatar Aug 01 '23 12:08 FlorentinDUBOIS

Hello @jszwedko, is it ok for you?

FlorentinDUBOIS avatar Aug 24 '23 14:08 FlorentinDUBOIS

Apologies for the delay! I'm still not crazy about having to maintain both of these, almost, identical SystemD unit files because I predict they will fall out of sync. I'd really like to see us find a way to bring them together using DefaultInstance or at least add some tests that will fail if we update one file but forget to update the other (these tests could just use diff to compare for expected differences). What do you think?

jszwedko avatar Sep 07 '23 14:09 jszwedko

I do see the challenges with using DefaultInstance here so I would be ok with just the additional tests that diff the file but ignore expected changes. Maybe something like:

diff <(cat distribution/systemd/vector.service | grep -v Description) <(cat distribution/systemd/[email protected] | grep -v Description)

(with additional grep -v patterns for each line we expect to be different)

jszwedko avatar Sep 07 '23 14:09 jszwedko

Hello, Could we merge it? I will not do the modification for futures pull request as you are eager on the topic ;) and I think it is to reviewer to ensure that.

FlorentinDUBOIS avatar Oct 30 '23 17:10 FlorentinDUBOIS

I think it is to reviewer to ensure that.

This is the bit I'm concerned about 😄 It'd be very easy to miss the fact that only one set of service definitions was updated when reviewing. I'd really like to see a test added for this before we merge.

jszwedko avatar Nov 28 '23 20:11 jszwedko