Skip to main content
Ctrl+K

sasquatch

  • User guide
  • Environments
  • Developer guide
  • FAQ
  • Resources
    • Rubin docs
  • GitHub
  • User guide
  • Environments
  • Developer guide
  • FAQ
  • Resources
  • Rubin docs
  • GitHub

Section Navigation

Sasquatch architecture

  • Architecture Overview

Guides

  • Deploying into a new environment
  • Strimzi upgrades
  • Shutdown Kafka gracefully
  • Kafka broker migration
  • Telegraf connectors
  • Managing Shards in an InfluxDB Cluster
  • Adding a Sasquatch subchart
  • Backup and restore
  • Monitoring

Troubleshooting

  • “Request exceeded user-specified time limit” error when Telegraf consumes kafka topics
  • “Context deadline exceeded” error when Telegraf writes to InfluxDB
  • Developer guide
  • Monitoring

Monitoring#

This page consolidates information about monitoring Sasquatch at the Summit and USDF environments.

Summit#

Strimzi Kafka
  • Kafka cluster health, broker level throughput, memory and cpu usage

  • Topic level throughput, under replicated partitions, ISRs, and consumer lag

  • Broker latency metrics

Telegraf Connectors
  • Summit connectors memory usage, buffer size, throughput, errors

InfluxDB
  • Summit InfluxDB CPU and Memory usage, network

  • Summit InfluxDB writes and query load

USDF#

Slack alerts
  • #ops-usdf-alerts

Telegraf Connectors
  • USDF connectors memory usage, buffer size, throughput, errors

  • Telegraf connector timeouts

InfluxDB
  • USDF InfluxDB CPU and Memory usage, network

  • USDF InfluxDB writes and query load

  • Slow queries in the last 24h

Summit - USDF connection#

Slack alerts
  • #status-efd

MirrorMaker
  • Summit replication

  • MM2 timeouts

Summit - USDF connection
  • Perfsonar

previous

Backup and restore

next

“Request exceeded user-specified time limit” error when Telegraf consumes kafka topics

On this page
  • Summit
  • USDF
  • Summit - USDF connection
Edit on GitHub

© Copyright 2024 Association of Universities for Research in Astronomy, Inc. (AURA).

Created using Sphinx 8.1.3.

Built with the PyData Sphinx Theme 0.16.1.