Manufacturing Visibility: Metrics Monitoring and Alerting

Pulling again the curtain

One factor that makes Rockset so magical is the truth that it “simply works”. After years of fastidiously provisioning, managing, and tuning their information methods, prospects really feel that Rockset’s serverless providing is just too good to be true (we’ve heard this precise phrase from many shoppers!). We satisfaction ourselves on having abstracted away the Rube Goldberg-like complexities inherent in sustaining indexes and ETL pipelines. Offering visibility into this complexity is a mandatory step to assist our customers get essentially the most out of our product.

As our customers more and more depend on Rockset to energy their functions, the identical questions come up:

  • How do I do know after I have to improve to a bigger Digital Occasion?
  • Can I combine Rockset into my monitoring and alerting toolkit?
  • How can I measure my information and question latencies?

To assist reply these questions, we got down to present our customers every part they might probably wish to see, avoiding the overly sophisticated.

We needed to supply a 360 diploma overview for each customers within the extra exploratory, constructing part, in addition to these able to take Rockset into manufacturing. With this in thoughts, we constructed two new options:

  1. Monitoring and metrics immediately constructed into the Rockset Console
  2. The means to combine with current third-party monitoring companies

Bringing our customers real-time metrics on the well being of their Rockset assets felt like the proper alternative for dogfooding, and so dogfood we did. Our new Metrics Dashboard is totally powered by Rockset!

Selecting metrics

At a excessive degree, integrating Rockset into your utility consists of:

  1. Selecting a Digital Occasion
  2. Ingesting information into collections
  3. Querying your information

The metrics we offer mirror this move, and holistically cowl any issues you might come throughout when constructing with Rockset. They fall into 4 classes:

  1. Digital Occasion

    1. CPU utilization (by leaf / aggregator)
    2. Allotted compute (by leaf / aggregator)
    3. Reminiscence utilization (by leaf / aggregator)
    4. Allotted reminiscence (by leaf / aggregator)
  2. Question

    1. Depend (whole rely, and by Question Lambda)
    2. Latency (latency throughout all queries, and by Question Lambda)
    3. 4XX, and 5XX errors (whole rely)
  3. Ingest

    1. Replication lag (by assortment)
    2. Ingest errors (whole throughout all collections)
    3. Streaming ingest (whole throughout all collections)
    4. Bulk ingest (whole throughout all collections)
  4. Storage

    1. Whole storage measurement (whole throughout all collections, and by assortment)
    2. Whole doc rely (whole throughout all collections, and by assortment)

In selecting what metrics to indicate, our baseline aim was to assist customers reply essentially the most recurring questions, comparable to:

  • How can I measure my question latencies? What latencies have my Question Lambda’s been seeing? Have there been any question errors? Why did my question latency spike?

    • Question latencies and errors throughout all queries can be found, in addition to latencies and errors per Question Lambda in Question Lambda particulars.
    • In case your question latency spiked within the final 24 hours, you possibly can drill down by question latency by Question Lambda if relevant.
  • What is the information latency between my exterior supply and my Rockset assortment? Have there been any parse errors?

    • Now you can view replication lag, in addition to ingest parse errors per assortment in assortment particulars.
  • How do I do know after I have to improve to a bigger Digital Occasion?

    • If you happen to see spikes in CPU or reminiscence utilization in your Digital Occasion, you need to most likely stagger your question load, or improve to a bigger Digital Occasion. Examine your question rely / latency for the corresponding timestamp for additional affirmation.

Try the brand new dashboard within the Metrics tab of the Rockset Console!

Integrating with current monitoring companies

When you’ve executed your due diligence and have determined that Rockset is the precise match in your utility wants, you’ll doubtless wish to combine Rockset into your current monitoring and alerting workflows.

Each staff has distinctive monitoring and alerting wants, and employs an unlimited array of third-party instruments and frameworks. As a substitute of reinventing the wheel and attempting to construct our personal framework, we needed to construct a mechanism that might allow customers to combine Rockset into any current software in the marketplace.

Metrics Endpoint

We expose metrics information in a Prometheus scraping appropriate format, already an open customary, enabling you to combine with lots of the hottest monitoring companies, together with however not restricted to:

  1. Prometheus (and Alertmanager)
  2. Grafana
  3. Graphite
  4. Datadog
  5. AppDynamics
  6. Dynatrace
  7. New Relic
  8. Amazon CloudWatch
  9. …and plenty of extra

$ curl -u {API key}:

# HELP rockset_collections Variety of collections.
# TYPE rockset_collections gauge
rockset_collections{virtual_instance_id="30",workspace_name="commons",} 20.0 
rockset_collections{virtual_instance_id="30",workspace_name="myWorkspace",} 2.0 
rockset_collections{virtual_instance_id="30",workspace_name="myOtherWorkspace",} 1.0
# HELP rockset_collection_size_bytes Assortment measurement in bytes. 
# TYPE rockset_collection_size_bytes gauge 
rockset_collection_size_bytes{virtual_instance_id="30",workspace_name="commons",collection_name="_events",} 3.74311622E8 

With this endpoint and the instruments it integrates with, you possibly can:

  • Programmatically monitor the state of your Rockset manufacturing metrics
  • Configure motion objects, like alerts primarily based on CPU utilization thresholds
  • Arrange auto remediation by altering Digital Occasion sizes primarily based on manufacturing masses

This endpoint is disabled by default, and could be switched on within the Metrics tab ( within the Rockset Console.


At Rockset, Grafana and Prometheus are two of our important monitoring pillars. For the rollout of our visibility efforts, we arrange our inside Prometheus scraper to hit our personal metrics endpoint. From there, we created charts and alerts which we use in tandem with current metrics and alerts to watch the brand new function!

Get began

An in depth breakdown of the metrics we export by way of our new endpoint is accessible in our documentation.

We’ve got a fundamental Prometheus configuration file and an Alertmanager guidelines template in our neighborhood Github repository that can assist you get began.