From 39cc3650fbc3418daad43e6bf8b54d356b18f20c Mon Sep 17 00:00:00 2001 From: muthu-mps Date: Thu, 7 Nov 2024 12:40:27 +0530 Subject: [PATCH 1/4] update dashboard and documentation --- .../gcp_vertexai/_dev/build/docs/README.md | 48 ++++++- packages/gcp_vertexai/changelog.yml | 7 +- .../data_stream/metrics/fields/fields.yml | 4 +- .../data_stream/metrics/manifest.yml | 1 - .../data_stream/metrics/sample_event.json | 71 ++++++++++ packages/gcp_vertexai/docs/README.md | 122 ++++++++++++++++- .../img/gcp-vertexai-overview-dashboard.png | Bin 487484 -> 637578 bytes ...-b711f0e9-6c69-42f1-9edc-d276f6f162a3.json | 126 +++++++++++------- packages/gcp_vertexai/manifest.yml | 3 +- 9 files changed, 319 insertions(+), 63 deletions(-) create mode 100644 packages/gcp_vertexai/data_stream/metrics/sample_event.json diff --git a/packages/gcp_vertexai/_dev/build/docs/README.md b/packages/gcp_vertexai/_dev/build/docs/README.md index 51a17b01b13..3bbeb4000ee 100644 --- a/packages/gcp_vertexai/_dev/build/docs/README.md +++ b/packages/gcp_vertexai/_dev/build/docs/README.md @@ -6,12 +6,54 @@ Vertex AI is a platform that enables the training and deployment of machine lear The integration with Google Cloud Platform (GCP) Vertex AI allows you to gather metrics such as token usage, latency, overall invocations, and error rates for deployed models. Additionally, it tracks resource utilization metrics for the model replicas as well as [prediction metrics](https://cloud.google.com/vertex-ai/docs/predictions/overview) of endpoints. -## Configuration +## Data streams + +### Metrics + +The GCP Vertex AI includes **Vertex AI Model Garden Publisher Model** metrics under the publisher category and the **Vertex AI Endpoint** metrics under the prediction category. + +#### Requirements + +You need Elasticsearch for storing and searching your data and Kibana for visualizing and managing it. +You can use our hosted Elasticsearch Service on Elastic Cloud, which is recommended, or self-manage the Elastic Stack on your own hardware. + +Before using any GCP integration you will need: + +* **GCP Credentials** to connect with your GCP account. +* **GCP Permissions** to make sure the service account you're using to connect has permission to share the relevant data. + +#### Roles & Permissions + +There isn't a single, specific role required to view metrics for Vertex AI. Access depends on how the models are deployed and the permissions granted to your Google Cloud project and user account. + +However, to summarize the necessary permissions and implied roles, you'll generally need a role that includes the following permissions: + +- **monitoring.metricDescriptor.list:** This permission allows you to list available metric descriptors. +- **monitoring.timeSeries.list:** This permission lets you list time series data for the metrics. + +These permissions are included in many roles, but here are some of the most likely candidates: + +- **roles/monitoring.viewer:** This role provides read-only access to Cloud Monitoring metrics. +- **roles/aiplatform.user:** This role grants broader access to Vertex AI, including model viewing and potentially metric access. +- **More granular roles:** For finer-grained control (recommended for security best practices), consider using a custom role built with the specific permissions needed. This would only include the necessary permissions to view model metrics, rather than broader access to all Vertex AI or Cloud Monitoring resources. This requires expertise in IAM (Identity and Access Management). +- **Predefined roles with broader access:** These roles like roles/aiplatform.user or roles/editor provide extensive permissions within the Google Cloud project, giving access to metrics but granting much broader abilities than necessary for just viewing metrics. These are generally too permissive unless necessary for other tasks. + +#### Configuration For fetching the metrics, users need to enter the project_id and the credentials file/json. -## Metrics +Refer to the [Google Cloud Platform configuration](https://www.elastic.co/docs/current/integrations/gcp#configure-the-integration-settings) page for more information about the configuration. -The GCP Vertex AI includes **Vertex AI Model Garden Publisher Model** metrics under the publisher category and the **Vertex AI Endpoint** metrics under the prediction category. +#### Troubleshooting + +Refer to the [Google Cloud Platform troubleshooting](https://www.elastic.co/docs/current/integrations/gcp#metrics-collection-configuration:~:text=to%20collect%20metrics.-,Troubleshooting,-If%20you%20don%27t) page for more information about troubleshooting the issue. + +#### Metrics Reference + +{{event "metrics"}} + +**ECS Field Reference** + +Please refer to the following [document](https://www.elastic.co/guide/en/ecs/current/ecs-field-reference.html) for detailed information on ECS fields. {{fields "metrics"}} \ No newline at end of file diff --git a/packages/gcp_vertexai/changelog.yml b/packages/gcp_vertexai/changelog.yml index 141c3ee2010..345ed6bdd76 100644 --- a/packages/gcp_vertexai/changelog.yml +++ b/packages/gcp_vertexai/changelog.yml @@ -1,7 +1,12 @@ # newer versions go on top +- version: "0.1.0" + changes: + - description: Update documentation with roles and permissions. + type: enhancement + link: https://github.com/elastic/integrations/pull/1 - version: "0.0.2" changes: - - description: Enhancements to dashboards, configuration, documentation + - description: Enhancements to dashboards, configuration, documentation type: enhancement link: https://github.com/elastic/integrations/pull/11373 - version: "0.0.1" diff --git a/packages/gcp_vertexai/data_stream/metrics/fields/fields.yml b/packages/gcp_vertexai/data_stream/metrics/fields/fields.yml index e91df23cf9c..854ec4625b1 100644 --- a/packages/gcp_vertexai/data_stream/metrics/fields/fields.yml +++ b/packages/gcp_vertexai/data_stream/metrics/fields/fields.yml @@ -13,7 +13,7 @@ - name: model_invocation_count type: long metric_type: gauge - description: Number of model invocations (prediction requests). + description: Number of model invocations (prediction requests). - name: character_count type: long metric_type: gauge @@ -77,4 +77,4 @@ description: Online prediction latency of the deployed model. - name: gcp.labels.resource.location type: keyword - description: Location of the resource \ No newline at end of file + description: Location of the resource diff --git a/packages/gcp_vertexai/data_stream/metrics/manifest.yml b/packages/gcp_vertexai/data_stream/metrics/manifest.yml index 2f36cfbaeac..9fe1b2856cc 100644 --- a/packages/gcp_vertexai/data_stream/metrics/manifest.yml +++ b/packages/gcp_vertexai/data_stream/metrics/manifest.yml @@ -17,4 +17,3 @@ streams: multi: false required: false show_user: true - diff --git a/packages/gcp_vertexai/data_stream/metrics/sample_event.json b/packages/gcp_vertexai/data_stream/metrics/sample_event.json new file mode 100644 index 00000000000..2c17934fdb7 --- /dev/null +++ b/packages/gcp_vertexai/data_stream/metrics/sample_event.json @@ -0,0 +1,71 @@ +{ + "cloud": { + "provider": "gcp", + "account": { + "name": "elastic-sa", + "id": "elastic-sa" + } + }, + "agent": { + "name": "docker-fleet-agent", + "id": "f9c4beb9-c0c0-47ca-963a-a9dc00e2df5e", + "ephemeral_id": "6c42a949-d522-44bf-818b-12c4a5908b90", + "type": "metricbeat", + "version": "8.15.2" + }, + "@timestamp": "2024-11-07T05:50:40.000Z", + "ecs": { + "version": "8.0.0" + }, + "gcp": { + "vertexai": { + "publisher": { + "online_serving": { + "token_count": 13 + } + } + }, + "labels": { + "resource": { + "model_user_id": "gemini-1.5-flash-002", + "model_version_id": "", + "publisher": "google", + "location": "us-central1" + }, + "metrics": { + "request_type": "shared", + "type": "input" + } + } + }, + "service": { + "type": "gcp" + }, + "data_stream": { + "namespace": "default", + "type": "metrics", + "dataset": "gcp_vertexai.metrics" + }, + "elastic_agent": { + "id": "f9c4beb9-c0c0-47ca-963a-a9dc00e2df5e", + "version": "8.15.2", + "snapshot": false + }, + "host": { + "hostname": "docker-fleet-agent", + "ip": [ + "172.25.0.7" + ] + }, + "metricset": { + "period": 60000, + "name": "metrics" + }, + "event": { + "duration": 913154084, + "agent_id_status": "verified", + "ingested": "2024-11-07T05:57:17Z", + "module": "gcp", + "dataset": "gcp_vertexai.metrics" + } +} \ No newline at end of file diff --git a/packages/gcp_vertexai/docs/README.md b/packages/gcp_vertexai/docs/README.md index bfe8eaa7f3e..88bf9e1780d 100644 --- a/packages/gcp_vertexai/docs/README.md +++ b/packages/gcp_vertexai/docs/README.md @@ -6,13 +6,129 @@ Vertex AI is a platform that enables the training and deployment of machine lear The integration with Google Cloud Platform (GCP) Vertex AI allows you to gather metrics such as token usage, latency, overall invocations, and error rates for deployed models. Additionally, it tracks resource utilization metrics for the model replicas as well as [prediction metrics](https://cloud.google.com/vertex-ai/docs/predictions/overview) of endpoints. -## Configuration +## Data streams + +### Metrics + +The GCP Vertex AI includes **Vertex AI Model Garden Publisher Model** metrics under the publisher category and the **Vertex AI Endpoint** metrics under the prediction category. + +#### Requirements + +You need Elasticsearch for storing and searching your data and Kibana for visualizing and managing it. +You can use our hosted Elasticsearch Service on Elastic Cloud, which is recommended, or self-manage the Elastic Stack on your own hardware. + +Before using any GCP integration you will need: + +* **GCP Credentials** to connect with your GCP account. +* **GCP Permissions** to make sure the service account you're using to connect has permission to share the relevant data. + +#### Roles & Permissions + +There isn't a single, specific role required to view metrics for Vertex AI. Access depends on how the models are deployed and the permissions granted to your Google Cloud project and user account. + +However, to summarize the necessary permissions and implied roles, you'll generally need a role that includes the following permissions: + +- **monitoring.metricDescriptor.list:** This permission allows you to list available metric descriptors. +- **monitoring.timeSeries.list:** This permission lets you list time series data for the metrics. + +These permissions are included in many roles, but here are some of the most likely candidates: + +- **roles/monitoring.viewer:** This role provides read-only access to Cloud Monitoring metrics. +- **roles/aiplatform.user:** This role grants broader access to Vertex AI, including model viewing and potentially metric access. +- **More granular roles:** For finer-grained control (recommended for security best practices), consider using a custom role built with the specific permissions needed. This would only include the necessary permissions to view model metrics, rather than broader access to all Vertex AI or Cloud Monitoring resources. This requires expertise in IAM (Identity and Access Management). +- **Predefined roles with broader access:** These roles like roles/aiplatform.user or roles/editor provide extensive permissions within the Google Cloud project, giving access to metrics but granting much broader abilities than necessary for just viewing metrics. These are generally too permissive unless necessary for other tasks. + +#### Configuration For fetching the metrics, users need to enter the project_id and the credentials file/json. -## Metrics +Refer to the [Google Cloud Platform configuration](https://www.elastic.co/docs/current/integrations/gcp#configure-the-integration-settings) page for more information about the configuration. -The GCP Vertex AI includes **Vertex AI Model Garden Publisher Model** metrics under the publisher category and the **Vertex AI Endpoint** metrics under the prediction category. +#### Troubleshooting + +Refer to the [Google Cloud Platform troubleshooting](https://www.elastic.co/docs/current/integrations/gcp#metrics-collection-configuration:~:text=to%20collect%20metrics.-,Troubleshooting,-If%20you%20don%27t) page for more information about troubleshooting the issue. + +#### Metrics Reference + +An example event for `metrics` looks as following: + +```json +{ + "cloud": { + "provider": "gcp", + "account": { + "name": "elastic-sa", + "id": "elastic-sa" + } + }, + "agent": { + "name": "docker-fleet-agent", + "id": "f9c4beb9-c0c0-47ca-963a-a9dc00e2df5e", + "ephemeral_id": "6c42a949-d522-44bf-818b-12c4a5908b90", + "type": "metricbeat", + "version": "8.15.2" + }, + "@timestamp": "2024-11-07T05:50:40.000Z", + "ecs": { + "version": "8.0.0" + }, + "gcp": { + "vertexai": { + "publisher": { + "online_serving": { + "token_count": 13 + } + } + }, + "labels": { + "resource": { + "model_user_id": "gemini-1.5-flash-002", + "model_version_id": "", + "publisher": "google", + "location": "us-central1" + }, + "metrics": { + "request_type": "shared", + "type": "input" + } + } + }, + "service": { + "type": "gcp" + }, + "data_stream": { + "namespace": "default", + "type": "metrics", + "dataset": "gcp_vertexai.metrics" + }, + "elastic_agent": { + "id": "f9c4beb9-c0c0-47ca-963a-a9dc00e2df5e", + "version": "8.15.2", + "snapshot": false + }, + "host": { + "hostname": "docker-fleet-agent", + "ip": [ + "172.25.0.7" + ] + }, + "metricset": { + "period": 60000, + "name": "metrics" + }, + "event": { + "duration": 913154084, + "agent_id_status": "verified", + "ingested": "2024-11-07T05:57:17Z", + "module": "gcp", + "dataset": "gcp_vertexai.metrics" + } +} +``` + +**ECS Field Reference** + +Please refer to the following [document](https://www.elastic.co/guide/en/ecs/current/ecs-field-reference.html) for detailed information on ECS fields. **Exported fields** diff --git a/packages/gcp_vertexai/img/gcp-vertexai-overview-dashboard.png b/packages/gcp_vertexai/img/gcp-vertexai-overview-dashboard.png index 2130545b28d197faf873bb468ceed395685a0149..43bb4135db23533a9c4b004dd40a837020dfb0e4 100644 GIT binary patch literal 637578 zcmeFZWn5Hi+cykI2ug?|BB_9Mmo!Ru4$UAf-Q6hCAvFS0(nCpiDAJ{LgET|OFf{MN zy{~J#?{{DK^WHDdhv&lsznNLH);eRINB@uGoDd}iNo=ggSV%}n*wRvBD!_+35)yji zZFJyF=IPcE64G5kb5T(xX;D!MB?ntmb1M@hB&m>i4Gc}yu7{~QG0`Hgkx{eW&Z6F< zL(Y2p{pF6l+Dm+jxJS2Mv_&%0*SM7WVe1hne;#C{H8fM+^e#XnJ*9hx 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"{\"ignoreFilters\":false,\"ignoreQuery\":false,\"ignoreTimerange\":false,\"ignoreValidations\":false}", - "panelsJSON": "{\"32d9bfca-e61a-4e5e-8719-989c239d631d\":{\"grow\":true,\"order\":0,\"type\":\"optionsListControl\",\"width\":\"medium\",\"explicitInput\":{\"id\":\"32d9bfca-e61a-4e5e-8719-989c239d631d\",\"dataViewId\":\"metrics-*\",\"fieldName\":\"gcp.labels.resource.location\",\"title\":\"Region\",\"searchTechnique\":\"prefix\",\"selectedOptions\":[],\"sort\":{\"by\":\"_count\",\"direction\":\"desc\"}}}}", + "ignoreParentSettingsJSON": { + "ignoreFilters": false, + "ignoreQuery": false, + "ignoreTimerange": false, + "ignoreValidations": false + }, + "panelsJSON": { + "812c73ea-e856-4afa-8d0e-c226fa4b2f0c": { + "explicitInput": { + "enhancements": {}, + "fieldName": "gcp.labels.resource.location", + "id": "812c73ea-e856-4afa-8d0e-c226fa4b2f0c", + "searchTechnique": "prefix", + "selectedOptions": [], + "sort": { + "by": "_count", + "direction": "desc" + }, + "title": "Region" + }, + "grow": true, + "order": 0, + "type": "optionsListControl", + "width": "medium" + } + }, "showApplySelections": false }, "description": "", @@ -117,12 +141,12 @@ }, "gridData": { "h": 11, - "i": "31d9f296-1b73-4a95-9ba8-f14487679693", + "i": "1f216b14-0dee-4371-9bc5-d76c4c83cf83", "w": 6, "x": 18, "y": 0 }, - "panelIndex": "31d9f296-1b73-4a95-9ba8-f14487679693", + "panelIndex": "1f216b14-0dee-4371-9bc5-d76c4c83cf83", "title": "", "type": "lens" }, @@ -200,12 +224,12 @@ }, "gridData": { "h": 11, - "i": "2bb5806a-4f13-4491-8d57-78062150b06e", + "i": "3c673d16-c00d-4514-9586-bada4a816714", "w": 6, "x": 24, "y": 0 }, - "panelIndex": "2bb5806a-4f13-4491-8d57-78062150b06e", + "panelIndex": "3c673d16-c00d-4514-9586-bada4a816714", "title": "", "type": "lens" }, @@ -282,12 +306,12 @@ }, "gridData": { "h": 11, - "i": "9ad7e204-d8d7-46b7-aa31-3cedcda5a03d", + "i": "6dc737a8-db74-4722-856a-7b286910ecac", "w": 6, "x": 30, "y": 0 }, - "panelIndex": "9ad7e204-d8d7-46b7-aa31-3cedcda5a03d", + "panelIndex": "6dc737a8-db74-4722-856a-7b286910ecac", "title": "", "type": "lens" }, @@ -418,12 +442,12 @@ }, "gridData": { "h": 11, - "i": "8cb0b279-5f2e-4eb8-aa8e-c6b04e5efc0d", + "i": "d5658997-846a-4b77-8b95-a742bdb94618", "w": 12, "x": 36, "y": 0 }, - "panelIndex": "8cb0b279-5f2e-4eb8-aa8e-c6b04e5efc0d", + "panelIndex": "d5658997-846a-4b77-8b95-a742bdb94618", "title": "Model usage", "type": "lens" }, @@ -613,13 +637,13 @@ }, "gridData": { "h": 13, - "i": "8a740f36-9eb9-4760-9d26-aad18c8d643b", + "i": "61f119ea-b168-4689-a257-816eab76edf8", "w": 24, "x": 0, "y": 11 }, - "panelIndex": "8a740f36-9eb9-4760-9d26-aad18c8d643b", - "title": "Token usage by LLM deployment", + "panelIndex": "61f119ea-b168-4689-a257-816eab76edf8", + "title": "Token usage by model deployment", "type": "lens" }, { @@ -790,12 +814,12 @@ }, "gridData": { "h": 13, - "i": "756b95d6-b7ea-44c1-9e9e-731a029ad848", + "i": "2853f946-8862-4dd5-90c1-5e037dbd29eb", "w": 24, "x": 24, "y": 11 }, - "panelIndex": "756b95d6-b7ea-44c1-9e9e-731a029ad848", + "panelIndex": "2853f946-8862-4dd5-90c1-5e037dbd29eb", "title": "Overall error rate by response code", "type": "lens" }, @@ -967,13 +991,13 @@ }, "gridData": { "h": 12, - "i": "0a274b4c-dad1-455f-b11a-202452e9fd60", + "i": "9394cd7b-6e9b-4d43-a0c6-3ca0d59c9990", "w": 24, "x": 0, "y": 24 }, - "panelIndex": "0a274b4c-dad1-455f-b11a-202452e9fd60", - "title": "Overall invocation rate by LLM deployment", + "panelIndex": "9394cd7b-6e9b-4d43-a0c6-3ca0d59c9990", + "title": "Overall invocation rate by model deployment", "type": "lens" }, { @@ -1140,13 +1164,13 @@ }, "gridData": { "h": 12, - "i": "cb641e19-3e8e-401b-a005-d5f219e25513", + "i": "99cfa8a8-f312-433f-bdd1-65c33fa49bbe", "w": 24, "x": 24, "y": 24 }, - "panelIndex": "cb641e19-3e8e-401b-a005-d5f219e25513", - "title": "Model invocation latency by LLM deployment", + "panelIndex": "99cfa8a8-f312-433f-bdd1-65c33fa49bbe", + "title": "Model invocation latency by model deployment", "type": "lens" }, { @@ -1183,12 +1207,12 @@ }, "gridData": { "h": 11, - "i": "849f99c5-090c-4f2c-90b1-b36e024904f5", + "i": "4d36c669-f9d3-44d3-8e81-f5a0bab6ab22", "w": 18, "x": 0, "y": 0 }, - "panelIndex": "849f99c5-090c-4f2c-90b1-b36e024904f5", + "panelIndex": "4d36c669-f9d3-44d3-8e81-f5a0bab6ab22", "title": "", "type": "visualization" }, @@ -1337,12 +1361,12 @@ }, "gridData": { "h": 11, - "i": "61c2dee7-981b-410c-ba42-e2d401f0fe03", + "i": "abc2b555-e029-4403-ad9b-c5945eaa1627", "w": 17, "x": 31, "y": 36 }, - "panelIndex": "61c2dee7-981b-410c-ba42-e2d401f0fe03", + "panelIndex": "abc2b555-e029-4403-ad9b-c5945eaa1627", "title": "Prediction error count by endpoint", "type": "lens" }, @@ -1490,12 +1514,12 @@ }, "gridData": { "h": 11, - "i": "801ed758-c37e-4d3c-91a3-9bbea05ce866", + "i": "52de4bc5-bc5c-42bd-bd23-04ec3e3c9a32", "w": 16, "x": 0, "y": 36 }, - "panelIndex": "801ed758-c37e-4d3c-91a3-9bbea05ce866", + "panelIndex": "52de4bc5-bc5c-42bd-bd23-04ec3e3c9a32", "title": "Prediction count by endpoint", "type": "lens" }, @@ -1680,12 +1704,12 @@ }, "gridData": { "h": 11, - "i": "bf585d4d-756c-46eb-b4e5-61e329919e4f", + "i": "d27299a7-b6e7-49bf-bd85-960d33c12ac3", "w": 15, "x": 16, "y": 36 }, - "panelIndex": "bf585d4d-756c-46eb-b4e5-61e329919e4f", + "panelIndex": "d27299a7-b6e7-49bf-bd85-960d33c12ac3", "title": "Prediction latency by endpoint", "type": "lens" }, @@ -1806,12 +1830,12 @@ }, "gridData": { "h": 11, - "i": "6209cd29-041e-4d27-8989-e2207be4fca9", + "i": "9ef751c9-ed52-4b19-b8a9-2c66ff1c5668", "w": 12, "x": 0, "y": 47 }, - "panelIndex": "6209cd29-041e-4d27-8989-e2207be4fca9", + "panelIndex": "9ef751c9-ed52-4b19-b8a9-2c66ff1c5668", "title": "CPU utilization", "type": "lens" }, @@ -1938,12 +1962,12 @@ }, "gridData": { "h": 11, - "i": "7cf9729c-8d5e-487d-8e69-87a6fc268cab", + "i": "a22926e9-7e22-4073-b282-19e1fa89e6df", "w": 13, "x": 12, "y": 47 }, - "panelIndex": "7cf9729c-8d5e-487d-8e69-87a6fc268cab", + "panelIndex": "a22926e9-7e22-4073-b282-19e1fa89e6df", "title": "Memory usage", "type": "lens" }, @@ -2141,12 +2165,12 @@ }, "gridData": { "h": 11, - "i": "27edc70e-f50e-434c-8ac1-f8b6fc3e86a0", + "i": "b0126bad-6d41-4f64-be96-5edb2fb1a952", "w": 23, "x": 25, "y": 47 }, - "panelIndex": "27edc70e-f50e-434c-8ac1-f8b6fc3e86a0", + "panelIndex": "b0126bad-6d41-4f64-be96-5edb2fb1a952", "title": "Maximum bytes transferred", "type": "lens" } @@ -2156,84 +2180,84 @@ "version": 2 }, "coreMigrationVersion": "8.8.0", - "created_at": "2024-10-15T10:09:26.978Z", + "created_at": "2024-11-06T05:06:28.788Z", "created_by": "u_mGBROF_q5bmFCATbLXAcCwKa0k8JvONAwSruelyKA5E_0", "id": "gcp_vertexai-b711f0e9-6c69-42f1-9edc-d276f6f162a3", "managed": false, "references": [ { "id": "metrics-*", - "name": "31d9f296-1b73-4a95-9ba8-f14487679693:indexpattern-datasource-layer-9ad856c5-e380-4fa7-9890-eb635b6be4ce", + "name": "1f216b14-0dee-4371-9bc5-d76c4c83cf83:indexpattern-datasource-layer-9ad856c5-e380-4fa7-9890-eb635b6be4ce", "type": "index-pattern" }, { "id": "metrics-*", - "name": "2bb5806a-4f13-4491-8d57-78062150b06e:indexpattern-datasource-layer-9ad856c5-e380-4fa7-9890-eb635b6be4ce", + "name": "3c673d16-c00d-4514-9586-bada4a816714:indexpattern-datasource-layer-9ad856c5-e380-4fa7-9890-eb635b6be4ce", "type": "index-pattern" }, { "id": "metrics-*", - "name": "9ad7e204-d8d7-46b7-aa31-3cedcda5a03d:indexpattern-datasource-layer-9ad856c5-e380-4fa7-9890-eb635b6be4ce", + "name": "6dc737a8-db74-4722-856a-7b286910ecac:indexpattern-datasource-layer-9ad856c5-e380-4fa7-9890-eb635b6be4ce", "type": "index-pattern" }, { "id": "metrics-*", - "name": "8cb0b279-5f2e-4eb8-aa8e-c6b04e5efc0d:indexpattern-datasource-layer-e7be6a03-31ea-4f3d-8c20-14dd5ff79086", + "name": "d5658997-846a-4b77-8b95-a742bdb94618:indexpattern-datasource-layer-e7be6a03-31ea-4f3d-8c20-14dd5ff79086", "type": "index-pattern" }, { "id": "metrics-*", - "name": "8a740f36-9eb9-4760-9d26-aad18c8d643b:indexpattern-datasource-layer-69aa0632-b7b7-4eda-8472-0a1da484b9df", + "name": "61f119ea-b168-4689-a257-816eab76edf8:indexpattern-datasource-layer-69aa0632-b7b7-4eda-8472-0a1da484b9df", "type": "index-pattern" }, { "id": "metrics-*", - "name": "756b95d6-b7ea-44c1-9e9e-731a029ad848:indexpattern-datasource-layer-69aa0632-b7b7-4eda-8472-0a1da484b9df", + "name": "2853f946-8862-4dd5-90c1-5e037dbd29eb:indexpattern-datasource-layer-69aa0632-b7b7-4eda-8472-0a1da484b9df", "type": "index-pattern" }, { "id": "metrics-*", - "name": "0a274b4c-dad1-455f-b11a-202452e9fd60:indexpattern-datasource-layer-69aa0632-b7b7-4eda-8472-0a1da484b9df", + "name": "9394cd7b-6e9b-4d43-a0c6-3ca0d59c9990:indexpattern-datasource-layer-69aa0632-b7b7-4eda-8472-0a1da484b9df", "type": "index-pattern" }, { "id": "metrics-*", - "name": "cb641e19-3e8e-401b-a005-d5f219e25513:indexpattern-datasource-layer-69aa0632-b7b7-4eda-8472-0a1da484b9df", + "name": "99cfa8a8-f312-433f-bdd1-65c33fa49bbe:indexpattern-datasource-layer-69aa0632-b7b7-4eda-8472-0a1da484b9df", "type": "index-pattern" }, { "id": "metrics-*", - "name": "61c2dee7-981b-410c-ba42-e2d401f0fe03:indexpattern-datasource-layer-5abc188d-e5a9-4543-bd69-d1baf7d246e4", + "name": "abc2b555-e029-4403-ad9b-c5945eaa1627:indexpattern-datasource-layer-5abc188d-e5a9-4543-bd69-d1baf7d246e4", "type": "index-pattern" }, { "id": "metrics-*", - "name": "801ed758-c37e-4d3c-91a3-9bbea05ce866:indexpattern-datasource-layer-de3eba3c-4742-40c5-bfff-9e1f5be91a4a", + "name": "52de4bc5-bc5c-42bd-bd23-04ec3e3c9a32:indexpattern-datasource-layer-de3eba3c-4742-40c5-bfff-9e1f5be91a4a", "type": "index-pattern" }, { "id": "metrics-*", - "name": "bf585d4d-756c-46eb-b4e5-61e329919e4f:indexpattern-datasource-layer-69aa0632-b7b7-4eda-8472-0a1da484b9df", + "name": "d27299a7-b6e7-49bf-bd85-960d33c12ac3:indexpattern-datasource-layer-69aa0632-b7b7-4eda-8472-0a1da484b9df", "type": "index-pattern" }, { "id": "metrics-*", - "name": "6209cd29-041e-4d27-8989-e2207be4fca9:indexpattern-datasource-layer-ca26bcbe-5584-41cb-a13b-bab3b082aae2", + "name": "9ef751c9-ed52-4b19-b8a9-2c66ff1c5668:indexpattern-datasource-layer-ca26bcbe-5584-41cb-a13b-bab3b082aae2", "type": "index-pattern" }, { "id": "metrics-*", - "name": "7cf9729c-8d5e-487d-8e69-87a6fc268cab:indexpattern-datasource-layer-637b4dec-ce38-4344-b31e-182ff3ccf262", + "name": "a22926e9-7e22-4073-b282-19e1fa89e6df:indexpattern-datasource-layer-637b4dec-ce38-4344-b31e-182ff3ccf262", "type": "index-pattern" }, { "id": "metrics-*", - "name": "27edc70e-f50e-434c-8ac1-f8b6fc3e86a0:indexpattern-datasource-layer-18df855a-97b0-4ce8-b7ac-5bb64e60a7da", + "name": "b0126bad-6d41-4f64-be96-5edb2fb1a952:indexpattern-datasource-layer-18df855a-97b0-4ce8-b7ac-5bb64e60a7da", "type": "index-pattern" }, { "id": "metrics-*", - "name": "controlGroup_32d9bfca-e61a-4e5e-8719-989c239d631d:optionsListDataView", + "name": "controlGroup_812c73ea-e856-4afa-8d0e-c226fa4b2f0c:optionsListDataView", "type": "index-pattern" } ], diff --git a/packages/gcp_vertexai/manifest.yml b/packages/gcp_vertexai/manifest.yml index 7d246831264..fbbf6a84ce7 100644 --- a/packages/gcp_vertexai/manifest.yml +++ b/packages/gcp_vertexai/manifest.yml @@ -1,7 +1,7 @@ format_version: 3.1.3 name: gcp_vertexai title: "GCP Vertex AI" -version: 0.0.2 +version: 0.1.0 source: license: "Elastic-2.0" description: "Collect GCP Vertex AI metrics with Elastic Agent" @@ -52,7 +52,6 @@ policy_templates: title: Collect GCP Vertex AI Metrics description: Collect GCP Vertex AI Metrics input_group: metrics - owner: github: elastic/obs-infraobs-integrations type: elastic From 3abf27156b03314229b01bb037fa15b5ff15c183 Mon Sep 17 00:00:00 2001 From: muthu-mps Date: Thu, 7 Nov 2024 12:54:32 +0530 Subject: [PATCH 2/4] update changelog entry --- packages/gcp_vertexai/changelog.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/packages/gcp_vertexai/changelog.yml b/packages/gcp_vertexai/changelog.yml index 345ed6bdd76..f6e00f39593 100644 --- a/packages/gcp_vertexai/changelog.yml +++ b/packages/gcp_vertexai/changelog.yml @@ -3,14 +3,14 @@ changes: - description: Update documentation with roles and permissions. type: enhancement - link: https://github.com/elastic/integrations/pull/1 + link: https://github.com/elastic/integrations/pull/11659 - version: "0.0.2" changes: - - description: Enhancements to dashboards, configuration, documentation + - description: Enhancements to dashboards, configuration, documentation. type: enhancement link: https://github.com/elastic/integrations/pull/11373 - version: "0.0.1" changes: - - description: Initial draft of the GCP Vertex AI package + - description: Initial draft of the GCP Vertex AI package. type: enhancement link: https://github.com/elastic/integrations/pull/11225 From 3e99d32f7975f3205e20035584d167e8e0cd8315 Mon Sep 17 00:00:00 2001 From: muthu-mps Date: Thu, 7 Nov 2024 16:00:26 +0530 Subject: [PATCH 3/4] add ecs reference & include missing fields to fields.yml --- packages/gcp_vertexai/_dev/build/build.yml | 3 + .../data_stream/metrics/fields/fields.yml | 70 ++++++++++++++++++- packages/gcp_vertexai/docs/README.md | 19 ++++- 3 files changed, 88 insertions(+), 4 deletions(-) create mode 100644 packages/gcp_vertexai/_dev/build/build.yml diff --git a/packages/gcp_vertexai/_dev/build/build.yml b/packages/gcp_vertexai/_dev/build/build.yml new file mode 100644 index 00000000000..e2b012548e0 --- /dev/null +++ b/packages/gcp_vertexai/_dev/build/build.yml @@ -0,0 +1,3 @@ +dependencies: + ecs: + reference: git@v8.11.0 diff --git a/packages/gcp_vertexai/data_stream/metrics/fields/fields.yml b/packages/gcp_vertexai/data_stream/metrics/fields/fields.yml index 854ec4625b1..a58a4927705 100644 --- a/packages/gcp_vertexai/data_stream/metrics/fields/fields.yml +++ b/packages/gcp_vertexai/data_stream/metrics/fields/fields.yml @@ -75,6 +75,70 @@ - name: prediction_latencies type: histogram description: Online prediction latency of the deployed model. -- name: gcp.labels.resource.location - type: keyword - description: Location of the resource +## Label Fields +- name: gcp.labels + description: Google Vertex AI dimension fields. + type: group + fields: + - name: resource + description: Resource fields. + type: group + fields: + - name: location + type: keyword + description: The region in which the service is running. + - name: model_user_id + type: keyword + description: The resource ID of the PublisherModel. + - name: model_version_id + type: keyword + description: The version ID of the PublisherModel. + - name: publisher + type: keyword + description: The publisher of the model. + - name: endpoint_id + type: keyword + description: The ID of the Endpoint. + - name: resource_container + type: keyword + description: The identifier of the GCP Project owning the Endpoint. + - name: metrics + description: Metrics fields. + type: group + fields: + - name: request_type + type: keyword + description: The type of traffic of the request (dedicated/shared). + - name: type + type: keyword + description: Type of token (input/output). + - name: max_token_size + type: keyword + description: The bucketized max size of number of tokens in the prediction request/response. + - name: input_token_size + type: keyword + description: The bucketized size of number of tokens in the prediction request. + - name: output_token_size + type: keyword + description: The bucketized size of number of tokens in the prediction response. + - name: response_code + type: keyword + description: Response code of prediction request. + - name: method + type: keyword + description: The type of method of the request (RawPredict/StreamRawPredict/ChatCompletions/etc). + - name: error_category + type: keyword + description: Response error category of the request (user/system/capacity). + - name: latency_type + type: keyword + description: The type of latency for the prediction request (either model or overhead). + - name: deployed_model_id + type: keyword + description: The ID of the DeployedModel which serves the prediction request. + - name: spot + type: keyword + description: Whether this deployment is on Spot VMs. Has values of True or False. + - name: replica_id + type: keyword + description: Unique ID corresponding to the model replica. diff --git a/packages/gcp_vertexai/docs/README.md b/packages/gcp_vertexai/docs/README.md index 88bf9e1780d..19b8805bc19 100644 --- a/packages/gcp_vertexai/docs/README.md +++ b/packages/gcp_vertexai/docs/README.md @@ -138,7 +138,24 @@ Please refer to the following [document](https://www.elastic.co/guide/en/ecs/cur | data_stream.dataset | Data stream dataset. | constant_keyword | | | | data_stream.namespace | Data stream namespace. | constant_keyword | | | | data_stream.type | Data stream type. | constant_keyword | | | -| gcp.labels.resource.location | Location of the resource | keyword | | | +| gcp.labels.metrics.deployed_model_id | The ID of the DeployedModel which serves the prediction request. | keyword | | | +| gcp.labels.metrics.error_category | Response error category of the request (user/system/capacity). | keyword | | | +| gcp.labels.metrics.input_token_size | The bucketized size of number of tokens in the prediction request. | keyword | | | +| gcp.labels.metrics.latency_type | The type of latency for the prediction request (either model or overhead). | keyword | | | +| gcp.labels.metrics.max_token_size | The bucketized max size of number of tokens in the prediction request/response. | keyword | | | +| gcp.labels.metrics.method | The type of method of the request (RawPredict/StreamRawPredict/ChatCompletions/etc). | keyword | | | +| gcp.labels.metrics.output_token_size | The bucketized size of number of tokens in the prediction response. | keyword | | | +| gcp.labels.metrics.replica_id | Unique ID corresponding to the model replica. | keyword | | | +| gcp.labels.metrics.request_type | The type of traffic of the request (dedicated/shared). | keyword | | | +| gcp.labels.metrics.response_code | Response code of prediction request. | keyword | | | +| gcp.labels.metrics.spot | Whether this deployment is on Spot VMs. Has values of True or False. | keyword | | | +| gcp.labels.metrics.type | Type of token (input/output). | keyword | | | +| gcp.labels.resource.endpoint_id | The ID of the Endpoint. | keyword | | | +| gcp.labels.resource.location | The region in which the service is running. | keyword | | | +| gcp.labels.resource.model_user_id | The resource ID of the PublisherModel. | keyword | | | +| gcp.labels.resource.model_version_id | The version ID of the PublisherModel. | keyword | | | +| gcp.labels.resource.publisher | The publisher of the model. | keyword | | | +| gcp.labels.resource.resource_container | The identifier of the GCP Project owning the Endpoint. | keyword | | | | gcp.vertexai.prediction.online.cpu.utilization | Fraction of CPU allocated by the deployed model replica and currently in use. May exceed 100% if the machine type has multiple CPUs. Sampled every 60 seconds. After sampling data is not visible for up to 360 seconds. | double | percent | gauge | | gcp.vertexai.prediction.online.error_count | Number of online prediction errors. | long | | gauge | | gcp.vertexai.prediction.online.memory.bytes_used | Amount of memory allocated by the deployed model replica and currently in use. Sampled every 60 seconds. After sampling data is not visible for up to 360 seconds. | long | byte | gauge | From c8b3a54ef0c8df75128a2da58cfb50f5862c2b73 Mon Sep 17 00:00:00 2001 From: muthu-mps Date: Thu, 7 Nov 2024 18:56:59 +0530 Subject: [PATCH 4/4] address review comments --- .../gcp_vertexai/_dev/build/docs/README.md | 18 +++++++++--------- packages/gcp_vertexai/docs/README.md | 18 +++++++++--------- 2 files changed, 18 insertions(+), 18 deletions(-) diff --git a/packages/gcp_vertexai/_dev/build/docs/README.md b/packages/gcp_vertexai/_dev/build/docs/README.md index 3bbeb4000ee..a85f6713a53 100644 --- a/packages/gcp_vertexai/_dev/build/docs/README.md +++ b/packages/gcp_vertexai/_dev/build/docs/README.md @@ -28,27 +28,27 @@ There isn't a single, specific role required to view metrics for Vertex AI. Acce However, to summarize the necessary permissions and implied roles, you'll generally need a role that includes the following permissions: -- **monitoring.metricDescriptor.list:** This permission allows you to list available metric descriptors. -- **monitoring.timeSeries.list:** This permission lets you list time series data for the metrics. +- **monitoring.metricDescriptor.list:** Allows you to list available metric descriptors. +- **monitoring.timeSeries.list:** Allows you to list time series data for the metrics. -These permissions are included in many roles, but here are some of the most likely candidates: +These permissions are included in many roles, but here are some of the most common ones: - **roles/monitoring.viewer:** This role provides read-only access to Cloud Monitoring metrics. - **roles/aiplatform.user:** This role grants broader access to Vertex AI, including model viewing and potentially metric access. -- **More granular roles:** For finer-grained control (recommended for security best practices), consider using a custom role built with the specific permissions needed. This would only include the necessary permissions to view model metrics, rather than broader access to all Vertex AI or Cloud Monitoring resources. This requires expertise in IAM (Identity and Access Management). -- **Predefined roles with broader access:** These roles like roles/aiplatform.user or roles/editor provide extensive permissions within the Google Cloud project, giving access to metrics but granting much broader abilities than necessary for just viewing metrics. These are generally too permissive unless necessary for other tasks. +- **More granular roles:** For fine-grained control (recommended for security best practices), consider using a custom role built with the specific permissions needed. This would only include the necessary permissions to view model metrics, rather than broader access to all Vertex AI or Cloud Monitoring resources. This requires expertise in IAM (Identity and Access Management). +- **Predefined roles with broader access:** These roles provide extensive permissions within the Google Cloud project, giving access to metrics but granting much broader abilities than necessary for just viewing metrics. These are generally too permissive unless necessary for other tasks. Examples are `roles/aiplatform`.user or `roles/editor`. #### Configuration -For fetching the metrics, users need to enter the project_id and the credentials file/json. +To fetch the metrics, enter the project_id and the credentials file/json. -Refer to the [Google Cloud Platform configuration](https://www.elastic.co/docs/current/integrations/gcp#configure-the-integration-settings) page for more information about the configuration. +Refer to [Google Cloud Platform configuration](https://www.elastic.co/docs/current/integrations/gcp#configure-the-integration-settings) for more information about the configuration. #### Troubleshooting -Refer to the [Google Cloud Platform troubleshooting](https://www.elastic.co/docs/current/integrations/gcp#metrics-collection-configuration:~:text=to%20collect%20metrics.-,Troubleshooting,-If%20you%20don%27t) page for more information about troubleshooting the issue. +Refer to [Google Cloud Platform troubleshooting](https://www.elastic.co/docs/current/integrations/gcp#metrics-collection-configuration:~:text=to%20collect%20metrics.-,Troubleshooting,-If%20you%20don%27t) for more information about troubleshooting the issue. -#### Metrics Reference +#### Metrics reference {{event "metrics"}} diff --git a/packages/gcp_vertexai/docs/README.md b/packages/gcp_vertexai/docs/README.md index 19b8805bc19..cad79b3b018 100644 --- a/packages/gcp_vertexai/docs/README.md +++ b/packages/gcp_vertexai/docs/README.md @@ -28,27 +28,27 @@ There isn't a single, specific role required to view metrics for Vertex AI. Acce However, to summarize the necessary permissions and implied roles, you'll generally need a role that includes the following permissions: -- **monitoring.metricDescriptor.list:** This permission allows you to list available metric descriptors. -- **monitoring.timeSeries.list:** This permission lets you list time series data for the metrics. +- **monitoring.metricDescriptor.list:** Allows you to list available metric descriptors. +- **monitoring.timeSeries.list:** Allows you to list time series data for the metrics. -These permissions are included in many roles, but here are some of the most likely candidates: +These permissions are included in many roles, but here are some of the most common ones: - **roles/monitoring.viewer:** This role provides read-only access to Cloud Monitoring metrics. - **roles/aiplatform.user:** This role grants broader access to Vertex AI, including model viewing and potentially metric access. -- **More granular roles:** For finer-grained control (recommended for security best practices), consider using a custom role built with the specific permissions needed. This would only include the necessary permissions to view model metrics, rather than broader access to all Vertex AI or Cloud Monitoring resources. This requires expertise in IAM (Identity and Access Management). -- **Predefined roles with broader access:** These roles like roles/aiplatform.user or roles/editor provide extensive permissions within the Google Cloud project, giving access to metrics but granting much broader abilities than necessary for just viewing metrics. These are generally too permissive unless necessary for other tasks. +- **More granular roles:** For fine-grained control (recommended for security best practices), consider using a custom role built with the specific permissions needed. This would only include the necessary permissions to view model metrics, rather than broader access to all Vertex AI or Cloud Monitoring resources. This requires expertise in IAM (Identity and Access Management). +- **Predefined roles with broader access:** These roles provide extensive permissions within the Google Cloud project, giving access to metrics but granting much broader abilities than necessary for just viewing metrics. These are generally too permissive unless necessary for other tasks. Examples are `roles/aiplatform`.user or `roles/editor`. #### Configuration -For fetching the metrics, users need to enter the project_id and the credentials file/json. +To fetch the metrics, enter the project_id and the credentials file/json. -Refer to the [Google Cloud Platform configuration](https://www.elastic.co/docs/current/integrations/gcp#configure-the-integration-settings) page for more information about the configuration. +Refer to [Google Cloud Platform configuration](https://www.elastic.co/docs/current/integrations/gcp#configure-the-integration-settings) for more information about the configuration. #### Troubleshooting -Refer to the [Google Cloud Platform troubleshooting](https://www.elastic.co/docs/current/integrations/gcp#metrics-collection-configuration:~:text=to%20collect%20metrics.-,Troubleshooting,-If%20you%20don%27t) page for more information about troubleshooting the issue. +Refer to [Google Cloud Platform troubleshooting](https://www.elastic.co/docs/current/integrations/gcp#metrics-collection-configuration:~:text=to%20collect%20metrics.-,Troubleshooting,-If%20you%20don%27t) for more information about troubleshooting the issue. -#### Metrics Reference +#### Metrics reference An example event for `metrics` looks as following: