A read/write storage endpoint to allow Prometheus to use Google Cloud Spanner as a timeseries data store. Truestreet leverages Google Cloud Spanner database to store timeseries data, resulting in a fast and scalable monitoring system.
docker build -t <your-org>/truestreet-amd64:<version> ./
If you have not already, set up the Google Cloud SDK to use the command line interface. Make sure to configure the CLI to be on the correct GCP project.
Create an instance with the command
gcloud spanner instances create truestreet --config=regional-us-central1 --description="TrueStreet Instance" --nodes=1
Any of the arguments can be changed to your needs, just make sure to reflect the name of the instance in TrueStreet's command line arguments. Additionally, it is recommended to consider how heavy the load will be on Spanner, Kubernetes can provide automatic scaling of TrueStreet pods, but setting up the appropriate number of Spanner nodes is not determined by TrueStreet.
port Port for serving TrueStreet (Default 1760)
project Name of GCP project
instance Name of Cloud Spanner instance
db Name of database inside Cloud Spanner instance
new Create new database if one does not already exist (Default true)
workers Number of concurrent routines to write samples (Default 10)
help Prints help text
For example, creating a database called 'truestreet-db' on the Spanner Instance 'truestreet' would require the flags
--project myProject --instance truestreet --db truestreet-db
By default, TrueStreet wil listen on port 1760
. Using the provided project,
instance and db name, TrueStreet will first attempt to connect to an existing
database on the provided instance. If one is not found and the 'new' flag is set
to true, it will create a database to run on the instance.
Add the following lines to your prometheus.yml
to configure remote read and
write. Additional configuration options are available and can be inspected
here
Two suggestions are that, for remote writes, the max samples per second can be
increased from its default of 100 samples. If samples are being written en
masse from Prometheus to TrueStreet, it's more efficient to batch them here as
well, as there are fewer separate requests. TrueStreet batches them to Spanner
anyway. A second suggestion is that, to see TrueStreet reading at work,
Prometheus can be forced to read only from TrueStreet. This is helpful for
testing if the connection is working, and also for retrieving data from other
Prometheus instances that may also be writing to the same Spanner database.
remote_write:
- url: http://<adapter-address>:1760/write
queue_config:
max_samples_per_send: 250
remote_read:
- url: http://<adapter-address>:1760/read
read_recent: true # Optional to test if read is working
TrueStreet also provides Prometheus metrics. These new metrics can be scraped by adding another target for Prometheus.
scrape_configs:
- job_name: truestreet
static_configs:
- targets: ['localhost:1760']