9fce4311e9bbce15540ba43f43e93cef5981521e
* Live: allow publishing over Centrifuge subscription Currently when publishing over a Grafana Live channel, the data is sent over the HTTP API. This works fine when there is only a single Grafana instance running, but when there are multiple instances, the data will only hit one instance, which is often not desired: sometimes you need to guarantee that the data appears on the same instance that the frontend is connected to. An example of this is in the Grafana LLM app when running the MCP server. The MCP protocol is stateful; users subscribe to a channel to get a long-lived stream of server-sent events, then send subsequent requests to the server to get further results. If there are multiple Grafana instances running then the requests are likely to land on an instance other than the one that the user is connected to. This commit adds a new option to the `GrafanaLiveSrv` interface that allows the user to publish data over the Centrifuge subscription instead of the HTTP API. This is not the default and should rarely be used, but is required to fulfil certain use cases. * Address nits from code review Co-authored-by: kay delaney <45561153+kaydelaney@users.noreply.github.com> --------- Co-authored-by: kay delaney <45561153+kaydelaney@users.noreply.github.com>
Adds levitate levignore configuration file to prevent breaking change notifications from expected typescript symbols (#74371)
The open-source platform for monitoring and observability
Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data-driven culture:
- Visualizations: Fast and flexible client side graphs with a multitude of options. Panel plugins offer many different ways to visualize metrics and logs.
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Grafana is distributed under AGPL-3.0-only. For Apache-2.0 exceptions, see LICENSING.md.
Description
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
alertinganalyticsbusiness-intelligencedashboarddata-visualizationelasticsearchgografanahacktoberfestinfluxdbmetricsmonitoringmysqlpostgresprometheus
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