Apica Docs
  • Welcome to Apica Docs!
  • PRODUCT OVERVIEW
    • Ascent Overview
    • Ascent User Interface
  • TECHNOLOGIES
    • Ascent with Kubernetes
      • Kubernetes is a Game-Changer
      • Ascent: Built on Kubernetes
    • Ascent with OpenTelemetry
      • Why Implement OpenTelemetry?
      • Common Use Cases for OpenTelemetry
      • How to Get Started with OpenTelemetry
      • Best Practices for OpenTelemetry Implementations
  • RELEASE NOTES
    • Release Notes
      • Ascent 2.10.3
      • Ascent 2.10.2
      • Ascent 2.9.0
      • Ascent 2.8.1
      • Ascent 2.8.0
      • Ascent 2.7.0
      • Ascent 2.6.0
      • Ascent 2.5.0
      • Ascent 2.4.0
      • Ascent 2.3.0
      • Ascent 2.2.0
      • Ascent 2.1.0
        • Data Fabric
          • Releases-old
        • Synthetic Monitoring
        • Advanced Scripting Engine
        • IRONdb
      • Synthetic Monitoring
  • GETTING STARTED
    • Getting Started with Ascent
      • Getting Started with Metrics
      • Getting Started with Logs
        • OpenTelemetry
    • Ascent Deployment Overview
    • Quickstart with Docker-Compose
    • On-Premise PaaS deployment
      • On-Premise PaaS Deployment Architecture
      • Deploying Apica Ascent PaaS on Kubernetes
      • Deploying Apica Ascent PaaS on MicroK8s
      • Deploying Apica Ascent PaaS on AWS
      • Deploying Apica Ascent EKS on AWS using CloudFormation
      • Deploying Ascent on AWS EKS with Aurora PostgreSQL and ElastiCache Redis using Cloud Formation
        • Deploying Apica Ascent on AWS EKS with Aurora PostgreSQL and ElastiCache Redis using CloudFormation
        • Apica Ascent on AWS EKS (Private Endpoint) with Aurora PostgreSQL and ElastiCache Redis on prod VPC
      • Deploying Apica Ascent EKS on AWS using custom AMI
      • Deploying Apica Ascent EKS with AWS ALB
      • Deploying Apica Ascent PaaS in Azure Kubernetes Service
        • Azure Blob Storage Lifecycle Management
      • Deploying Apica Ascent with OpenShift
    • Boomi RTO Quick Start Guide
      • RTO Dashboarding
      • Alerting on RTO Metrics
      • Alerting on RTO Logs
    • Dashboards & Visualizations
  • DATA SOURCES
    • Data Source Overview
    • API
      • JSON Data source
      • RSS
    • AWS
      • Amazon Athena
      • Amazon CloudWatch ( YAML )
      • Amazon Elasticsearch Service
      • Amazon Redshift
      • MySQL Server (Amazon RDS)
    • NoSQL Data Sources
      • MongoDB
    • OLAP
      • Data Bricks
      • Druid
      • Snowflake
    • SQL Data Sources
      • PostgreSQL
      • Microsoft SQL Server
      • MySQL Server
    • Time Series Databases
      • Prometheus Compatible
      • Elasticsearch
      • InfluxDB
    • Ascent Synthetics
      • Checks
    • Ascent Logs
      • Logs
  • INTEGRATIONS
    • Integrations Overview
      • Generating a secure ingest token
      • Data Ingest Ports
    • List of Integrations
      • Apache Beam
        • Export Metrics to Prometheus
          • Pull Mechanism via Push-Gateway
        • Export Events to Apica Ascent
      • Apica ASM
      • Apica Ascent Observability Data Collector Agent
      • AWS
        • AWS CloudWatch
        • AWS ECS
          • Forwarding AWS ECS logs to Apica Ascent using AWS FireLens
          • ECS prometheus metrics to Apica Ascent
        • AWS S3
      • Azure
        • Azure Databricks
        • Azure Eventhub
        • Azure Event Hubs
      • Docker Compose
      • Docker Swarm logging
      • Docker Syslog log driver
      • F5 Big-Ip System
      • Filebeat
      • Fluent Bit
        • Forwarding Amazon-Linux logs to Apica Ascent using Fluent Bit
        • Fluent Bit installation on Ubuntu
        • Enabling IoT(MQTT) Input (PAAS)
        • IIS Logs on Windows
      • Fluentd
      • FortiNet Firewalls
      • GCP PubSub
      • GCP Cloud Logging
      • IBM QRadar
      • ilert
      • Incident Management
        • Webhooks
      • Jaeger
      • Kafka
      • Kinesis
      • Kubernetes
      • Logstash
      • MQTT
      • Network Packets
      • OpenTelemetry
      • Object store (S3 Compatible)
      • Oracle OCI Infrastructure Audit/Logs
      • Oracle Data Integrator (ODI)
      • OSSEC Variants (OSSEC/WAZUH/ATOMIC)
        • Apica Ascent-OSSEC Agent for Windows
      • Palo Alto Firewall
      • Prometheus
        • Spring Boot
        • Prometheus on Windows
        • Prometheus Remote Write
        • MongoDB Exporter
        • JMX Exporter
      • Rsyslogd
      • Syslog
      • Syslog-ng
      • Splunk Universal Forwarder
      • Splunk Heavy Forwarder
      • SNMP
      • Splunk Forwarding Proxy
      • Vault
        • Audit Vault Logs - AWS
        • Audit Vault Logs - OCI
        • Audit Vault Metrics
    • Apica API DOCS
  • DATA MANAGEMENT
    • Data Management Overview
    • Data Explorer Overview
      • Query Builder
      • Widget
      • Alerts
      • JSON Import
      • Creating Json Schema
        • Visualization
          • Line chart
          • Bar chart
          • Area chart
          • Scatter chart
          • Status chart
          • Counter chart
          • Stat chart
          • Size chart
          • Dense Status chart
          • Honeycomb chart
          • Gauge chart
          • Pie chart
          • Disk chart
          • Table chart
          • Date time chart
      • Time-Series AI/ML
        • Anomaly Detection
        • Averaging
        • Standard Deviation(STD)
      • Data Explorer Dashboard
        • Create a Dashboard
        • Editing Dashboard
          • Dashboard level filters
    • Timestamp handling
      • Timestamp bookmark
    • Large log/events/metrics/traces
  • OBSERVE
    • Monitoring Overview
      • Connecting Prometheus
      • Connecting Amazon Managed Service for Prometheus
      • Windows Redis Monitoring
      • Writing queries
        • Query Snippets
      • Query API
      • Use Apica API to ingest JSON data
    • Distributed Tracing
      • Traces
      • Spans
      • Native support for OTEL Traces
      • Windows .NET Application Tracing
      • Linux+Java Application Tracing
    • Log Management
      • Terminology
      • Explore Logs
      • Topology
      • Apica Ascent Search Cheat Sheet
      • Share Search Results
      • Severity Metrics
      • Log2Metrics
      • Native support for OTEL Logs
      • Reports
        • Accessing Reports results via API
      • Role-Based Access Control (RBAC)
      • Configuring RBAC
    • AI and LLM Observability
      • AI Agent Deployment
      • Ascent AI Agent Monitoring
      • Ascent Quick Start Guide
    • Synthetic Check Monitoring
      • Map View
      • List View
      • Alerting for Check Results
  • Flow
    • Overview
    • Pipeline Management
      • Configuring Pipelines
      • Visualize Pipelines
      • Pipeline Overview Dashboard
      • Forwarding Data
    • OpenTelemetry Ingest
      • OpenTelemetry Logs / Traces
      • OpenTelemetry Metrics
        • Transforming Metrics through Code Rules
    • Vault
      • Certificates
      • Variables
      • Lookups
    • Rules
      • FILTER
      • EXTRACT
      • SIEM and TAG
      • REWRITE
      • CODE
      • FORWARD
        • Rename Attributes
      • STREAM
    • Functions
      • ascent.encode
      • ascent.decode
      • ascent.persist
      • Ascent.variables
      • ascent.crypto
      • Ascent.mask
      • Ascent.net
      • Ascent.text
      • Ascent.time
      • Ascent.lookups
    • List of Forwarders
    • OpenTelemetry Forwarding
      • Metrics
      • Traces
      • Logs
    • Splunk Forwarding
      • Apica UF Proxy App Extension
        • Standalone Instance
        • List of Indexer Instances
        • Indexer Discovery
      • Metric Indexes
      • Non Metric Indexes
      • Syslog Forwarding
    • Real-Time Stream Forwarding
      • AWS Kinesis
      • Azure Eventhub
      • Google Pub/Sub
    • Security Monitor Forwarding
      • Arc Sight
      • RSA New Witness
    • Forwarding to Monitoring Tools
      • Datadog Forwarding
      • New Relic Forwarding
      • Dynatrace Forwarding
      • Elasticsearch Forwarding
      • Coralogix Forwarding
      • Azure Log Analytics Forwarding
    • Object Store Forwarding
      • S3 Compatible
      • Azure Blob Storage
    • Forwarding to Data Warehouse
      • GCP Bigquery
  • Customized Forwarders
    • JS Code Forwarding
  • LAKE
    • Powered by Instastore™
  • FLEET MANAGEMENT
    • Overview
    • Agents
    • Configurations
    • Packages
    • Fleet Repository Management
    • Advanced Search
    • List of Agents
      • Datadog Agent
      • Fluent-bit Agent
      • Grafana Alloy
      • OpenTelemetry Collector
      • OpenTelemetry Kubernetes
      • Prometheus Agent
  • COMMAND LINE INTERFACE
    • apicactl Documentation
  • AUTONOMOUS INSIGHTS
    • Time Series AI-ML
      • Anomaly Detection
      • Averaging
      • Standard Deviation(STD)
      • Forecasting
      • AI-ML on PromQL Query Data Set
      • Statistical Data Description
    • Pattern-Signature (PS)
      • Log PS Explained
        • Unstructured Logs
        • Semi-structured JSON
        • Reduce Logs Based on PS
        • Log PS Use Cases
          • Log Outlier Isolation
          • Log Trending Analysis
          • Simple Log Compare
      • Config PS
        • Config JSON PS
    • ALIVE Log Visualization
      • ALIVE Pattern Signature Summary
      • ALIVE Log Compare
    • Log Explained using Generative AI
      • Configuring Generative AI Access
      • GenAI Example Using Log Explain
    • Alerts
    • Alerts (Simple/Anomaly)
    • Alerts On Logs
    • Rule Packs
    • AI-powered Search
  • PLATFORM DOCS
    • Synthetic Monitoring Overview
      • Getting Started with ASM
        • Achieving 3 Clicks to Issue Resolution via ASM
        • FAQ - Frequently Asked Questions
        • Creating A New Check
          • Creating a New Real Browser Check
      • Explore the Platform
        • API Details
        • Check Types
          • Android Check
          • Command Check
          • Compound Check
          • Browser Check
          • Desktop Application Check
          • AWS Lambda Check
          • DNS Resolver Check
          • DNS Security Check
          • Domain Availability Check
          • Domain Delegation Check
          • Domain Expiration Date Check
          • Hostname Integrity Check
          • iPad Check
          • iPhone Check
          • Ping Check
          • Port Check
          • Postman Check
          • Response Time Check
          • SSL Certificate Expiration Check
          • Scripted Check
        • Dashboards
        • Integrations
          • DynaTrace Integration
          • Google Analytics Integration
          • Akamai Integration
          • Centrify Integration
          • AppDynamics Integration
          • PagerDuty Integration
          • ServiceNow Integration
          • Splunk Integration
        • Metrics
          • Analyze Site
          • Result Values
          • Trends
          • Analyze Metrics
        • Monitoring
          • Integrating ASM Metrics into Grafana Using Apica Panels
            • Understanding the ASM Imported Dashboards
            • Using the Apica Panels Dashboards
          • Understanding ASM Check Host Locations
        • Navigation
          • Manage Menu
        • Reports
        • Use Cases
      • Configurations
        • Configuring Checks
          • Understanding Check Results
            • Understanding ZebraTester Check Results
            • Understanding Browser Check Results
            • Understanding Check Details
          • Editing Checks
            • Editing Browser Checks
            • Editing ZebraTester Checks
          • Using Regular Expressions Within the ASM Platform
          • Understanding the Edit Scenario Page
          • Comparing Selenium IDE Scripts to ASM Scenarios
          • Configuring Apica DNS Check Types
          • Implementing Tags Effectively Within ASM
          • Storing and Retrieving Information Using the ASM Dictionary
        • Configuring Users
          • Configuring SSO Within ASM
        • Configuring Alerts
          • Configuring Webhook Alerts
      • How-To Articles
        • ASM Monitoring Best Practices
        • API Monitoring Guide
        • IT Monitoring Guide
        • Monitor Mission-Critical Applications through the Eyes of Your Users
        • How To Mask Sensitive Data in ASM
        • How to Mask Sensitive Data When Using Postman Checks
        • How to Handle URL Errors in a Check
        • How To Set Up SSO Using Azure AD
        • How to Set Up SSO Using Centrify
        • ASM Scenarios How-To
          • How To Pace a Selenium Script
          • How to Utilize XPath Within a Selenium Script
          • How to Mask Sensitive Information Within an ASM Scenario
          • Handling Elements Which Do Not Appear Consistently
          • How to Handle HTML Windows in ASM Scenarios
    • ZebraTester Scripting
      • ZebraTester Overview
      • Install ZebraTester
        • Download ZebraTester
          • Core ZebraTester V7.5-A Documentation
          • Core ZebraTester V7.0-B Documentation
          • Core ZebraTester V7.0-A Documentation
          • Core ZebraTester V5.5-Z Documentation
          • Core ZebraTester V5.5-F Documentation
        • Download the ZebraTester Recorder Extension
        • Windows Installation
          • ZebraTester on Windows
          • Generate Private CA Root Certificate
          • Windows System Tuning
          • Install a new ZT version on Windows Server
          • Install/Uninstall ZT Windows Installer Silently
        • macOS Installation
          • macOS Preinstallation Instructions
          • Generate Private CA Root Cert (macOS X)
          • System Tuning (macOS)
          • Import a CA Root Certificate to an iOS device
          • Memory Configuration Guidelines for ZebraTester Agents
      • ZebraTester User Guide
        • Menu and Navigation Overview
        • 1. Get a Load Test Session
          • Recording Web Surfing Sessions with ZebraTester
            • Further Hints for Recording Web Surfing Sessions
            • Recording Extension
              • Record Web Session
              • Cookies and Cache
              • Proxy
              • Page Breaks
              • Recording Extension Introduction
              • Troubleshooting
            • Add URL to ZebraTester
            • Page Scanner
          • Next Steps after Recording a Web Surfing Session
        • 2. Scripting the Load Test Session
          • 1. Assertions - HTTP Response Verificaton
          • 2. Correlation - Dynamic Session Parameters
            • 2b. Configuring Variable Rules
            • 2a. Var Finder
          • 3. Parameterization: Input Fields, ADR and Input Files
            • ADR
          • 4. Execution Control - Inner Loops
          • 5. Execution Control - URL Loops
          • 6. Execution Control -User-Defined Transactions And Page Breaks
          • 7. Custom Scripting - Inline Scripts
          • 8. Custom Scripting - Load Test Plug-ins
            • ZebraTester Plug-in Handbooks
          • Modular Scripting Support
        • 3. Recording Session Replay
        • 4. Execute the Load Test
          • Executing a First Load Test
          • Executing Load Test Programs
            • Project Navigator
              • Configuration of the Project Navigator Main Directory
            • Real-Time Load Test Actions
            • Real-Time Error Analysis
            • Acquiring the Load Test Result
            • More Tips for Executing Load Tests
          • Distributed Load Tests
            • Exec Agents
            • Exec Agent Clusters
          • Multiple Client IP Addresses
            • Sending Email And Alerts
            • Using Multiple Client IP Addresses per Load-Releasing System
        • 5. Analyzing Results
          • Detail Results
          • Load Test Result Detail-Statistics and Diagrams
          • Enhanced HTTP Status Codes
          • Error Snapshots
          • Load Curve Diagrams
          • URL Exec Step
          • Comparison Diagrams
            • Analysis Load Test Response Time Comparison
            • Performance Overview
            • Session Failures
        • Programmatic Access to Measured Data
          • Extracting Error Snapshots
          • Extracting Performance Data
        • Web Tools
        • Advanced Topics
          • Execute a JMeter Test Plan in ZebraTester
          • Credentials Manager for ZebraTester
          • Wildcard Edition
          • Execution Plan in ZebraTester
          • Log rotation settings for ZebraTester Processes
          • Modify Session
          • Modular Scripting Support
          • Understanding Pacing
          • Integrating ZebraTester with GIT
            • GitHub Integration Manual V5.4.1
      • ZebraTester FAQ
      • ZebraTester How-to articles
        • How to Combine Multiple ZebraTester Scripts Into One
        • Inline Scripting
        • How to Configure a ZebraTester Script to Fetch Credentials from CyberArk
        • How to Configure a ZebraTester Scenario to Fetch Credentials from CyberArk
        • How to Convert a HAR file into a ZebraTester Script
        • How to Convert a LoadRunner Script to ZebraTester
        • How to Import the ZT Root Certificate to an iOS device
        • How to iterate over JSON objects in ZebraTester using Inline Scripts
        • How to round a number to a certain number of decimal points within a ZebraTester Inline Script
        • How to Use a Custom DNS Host File Within a ZebraTester Script
        • How to Move a ZebraTester Script to an Older Format
        • API Plugin Version
        • Setting up the Memu Player for ZebraTester Recording
        • Inline Script Version
      • Apica Data Repository (ADR) aka Apica Table Server
        • ADR related inline functions available in ZT
        • Apica Data Repository Release Notes
        • REST Endpoint Examples
        • Accessing the ADR with Inline Scripts
      • ZebraTester Plugin Repository
      • Apica YAML
        • Installing and Using the ApicaYAML CLI Tool
        • Understanding ApicaYAML Scripting and Syntax
    • Load Testing Overview
      • Getting Started with ALT
      • Creating / Running a Single Load Test
      • Running Multiple Tests Concurrently
      • Understanding Loadtest Results
    • Test Data Orchestrator (TDO)
      • Technical Guides
        • Hardware / Environment Requirements
        • IP Forwarding Instructions (Linux)
        • Self-Signed Certificate
        • Windows Server Install
        • Linux Server Install
        • User Maintenance
        • LDAP Setup
        • MongoDB Community Server Setup
        • TDX Installation Guide
      • User Documentation
        • End User Guide for TDO
          • Connecting to Orson
          • Coverage Sets and Business Rules
          • Data Assembly
          • Downloading Data
        • User Guide for TDX
          • Connecting to TDX
          • Setting up a Data Profile
          • Extracting Data
          • Analyzing Data Patterns
          • Performing Table Updates
        • API Guide
          • API Structure and Usage
          • Determining Attribute APIs
            • Create Determining Attribute (Range-based)
            • Create Determining Attribute (Value-based)
            • Update Determining Attributes
            • Get Determining Attribute Details
            • Delete a Determining Attribute
          • Coverage Set API’s
            • Create Coverage Set
            • Update Coverage Set
            • Get All Coverage Set Details
            • Get Single Coverage Set Details
            • Lock Coverage Set
            • Unlock Coverage Set
            • Delete Coverage Set
          • Business Rule API’s
            • Create Business Rule
            • Update Business Rule
            • Get Business Rule Details
            • Get All Business Rules
            • Delete Business Rule
          • Workset API's
            • Create Workset
            • Update Workset
            • Get All Worksets
            • Get Workset Details
            • Unlock Workset
            • Clone Workset
            • Delete Workset
          • Data Assembly API's
            • Assemble Data
            • Check Assembly Process
          • Data Movement API's
            • Ingest (Upload) Data Files
            • Download Data Files
              • HTML Download
              • CSV Download
              • Comma Delimited with Sequence Numbers Download
              • Pipe Delimited Download
              • Tab Delimited with Sequence Numbers Download
              • EDI X12 834 Download
              • SQL Lite db Download
              • Alight File Format Download
          • Reporting API's
            • Session Events
            • Rules Events
            • Coverage Events
            • Retrieve Data Block Contents
            • Data Assembly Summary
        • Workflow Guide
      • Release Notes
        • Build 1.0.2.0-20250213-1458
  • IRONdb
    • Getting Started
      • Installation
      • Configuration
      • Cluster Sizing
      • Command Line Options
      • ZFS Guide
    • Administration
      • Activity Tracking
      • Compacting Numeric Rollups
      • Migrating To A New Cluster
      • Monitoring
      • Operations
      • Rebuilding IRONdb Nodes
      • Resizing Clusters
    • API
      • API Specs
      • Data Deletion
      • Data Retrieval
      • Data Submission
      • Rebalance
      • State and Topology
    • Integrations
      • Graphite
      • Prometheus
      • OpenTSDB
    • Tools
      • Grafana Data Source
      • Graphite Plugin
      • IRONdb Relay
      • IRONdb Relay Release Notes
    • Metric Names and Tags
    • Release Notes
    • Archived Release Notes
  • Administration
    • E-Mail Configuration
    • Single Sign-On with SAML
    • Port Management
    • Audit Trail
      • Events Trail
      • Alerts Trail
Powered by GitBook
On this page
  • Installation
  • Using with graphite-web
  • Changelog

Was this helpful?

Edit on GitHub
Export as PDF
  1. IRONdb
  2. Tools

Graphite Plugin

PreviousGrafana Data SourceNextIRONdb Relay

Last updated 22 days ago

Was this helpful?

A plugin for using graphite with the IRONdb from Apica.

Requires Graphite-web 1.1.X.

Installation

First, checkout the code:

$ git clone http://github.com/circonus-labs/graphite-irondb
$ cd graphite-irondb

(With no options provided, the install will look for a library in /opt/circonus)

Then, to install using library for FlatBuffers:

$ sudo python setup.py install --with-flatcc=PREFIX

Or: To install as pure Python:

$ sudo python setup.py install --pure-python

The use of --pure-python is provided for convenience; However, the native C module is recommended for best performance.

Using with graphite-web

In your graphite's local_settings.py:

    STORAGE_FINDERS = (
        'irondb.IRONdbFinder',
    )

    TAGDB = 'irondb.IRONdbTagFetcher'

    IRONDB_URLS = (
        'http://<irondb-host>:<port>/graphite/<account>/<optional_query_prefix>',
    )

    # Optional.  You need CIRCONUS_TOKEN if you are using this with Circonus SaaS.
    # If you are not using Circonus SaaS you can omit this setting
    CIRCONUS_TOKEN = '0005cc1f-5b27-4b60-937b-7c73a25dfef7'

    IRONDB_BATCH_SIZE = 250
    IRONDB_USE_DATABASE_ROLLUPS = True
    IRONDB_USE_ACTIVITY_TRACKING = True
    IRONDB_TIMEOUT_MS = 10000
    IRONDB_CONNECTION_TIMEOUT_MS = 3005
    IRONDB_MAX_RETRIES = 2
    IRONDB_QUERY_LOG = False

Where irondb-host is the DNS or IP of an IRONdb node, port (usually 8112) is the listening port for IRONdb, and <account> is some integer you have been ingesting your metrics under (see Namespacing in the IRONdb docs).

optional_query_prefix can be used to prefix all operations with a fixed name. You can use this optional prefix to simplify metric names stored in IRONdb. If you just want raw names as stored in IRONdb, you can omit this last URL section (see Graphite Rendering in the IRONdb documentation).

If you have a multi-node IRONdb installation (likely), you should specify multiple URLS (one for each node in the cluster), or place the IRONdb installation behind a load balancer. For example,

IRONDB_URLS = (
    'http://host1:8112/graphite/1',
    'http://host2:8112/graphite/1',
)

NOTE: the IRONDB_URLS is a python list and therefore must end with a trailing comma on the last entry.

If you are pointing graphite at a Circonus SaaS account, set the token to a valid Circonus Auth Token and set the URL to the public API URL (https://api.circonus.com/irondb/graphite). Your tokens can be managed under your account at https://login.circonus.com/user/tokens. Note that the storage finder will not work if the application 'graphite' is not approved. If you find it not working, visit your tokens page and refresh to find the graphite application and manually approve it.

CIRCONUS_TOKEN = '<your-token-uuid>'
IRONDB_URLS = (
    'https://api.circonus.com/irondb/graphite',
)

IRONDB_BATCH_SIZE is optional and will default to 250. Batch size is used to perform multi-fetch from the IRONdb backend if you use graphs with wildcard expansions in the datapoints.

IRONDB_USE_DATABASE_ROLLUPS is an optional Python boolean (True|False) and will default to True. IRONdb can automatically choose the "step" of the returned data if this param is set to True. Calculation for "step" is based on the time span of the query. If you set this to False, IRONdb will return the minimum rollup span it is configured to return for all data. This can result in slower renders as much more data will be returned than may be necessary for rendering. However, some graphite functions (like summarize) require finer resolution data in order to group data properly.

IRONDB_USE_ACTIVITY_TRACKING is an optional Python boolean (True|False) and will default to True. IRONdb supports tracking of metric activity without the expense of reading all known time series data to find active ranges.

IRONDB_TIMEOUT_MS is optional and will default to 10000. With IRONdb >= 0.9.8 this will set an absolute timeout after which queries will be cut off.

IRONDB_CONNECTION_TIMEOUT_MS is optional and will default to 3005.

IRONDB_MAX_RETRIES is optional and will default to 2. Only failures to connect are retried (see IRONDB_CONNECTION_TIMEOUT_MS). Timeouts or other failures are not retried to prevent thundering herd problems.

IRONDB_QUERY_LOG is optional and will default to False. Will log out all queries to the IRONdb backend nodes into the info.log if this is set to True.

IRONDB_ZIPKIN_ENABLED is optional and will default to False. Will send Zipkin headers to the IRONdb nodes that are being queried.

IRONDB_ZIPKIN_EVENT_TRACE_LEVEL is optional and will default to 0. If IRONDB_ZIPKIN_ENABLED is set to False, this flag will do nothing. If it is set to True, this will send headers to the IRONdb nodes that will enable additional event tracing. Right now, the only acceptable values are 0 (off), 1 (basic tracing), and 2 (detailed tracing). 2 can potentially cause performance issues - use this level sparingly. Only recommended for when trying to debug something specific.

Changelog

  • 0.0.1 (2016-11-10): initial version.

  • 0.0.2 (2017-05-25): fix queries where there is no data for one or more of the requested time series

  • 0.0.3 (2017-06-27): Add CIRCONUS_TOKEN support and IRONDB_USE_DATABASE_ROLLUPS

  • 0.0.4 (2017-06-28): Pass more info back to IRONdb on fetches so the database doesn't have to re-lookup metric ownership among the nodes

  • 0.0.5 (2017-09-01): Retry requests to IRONdb against different nodes if we encounter connection issues or timeouts on requests

  • 0.0.6 (2017-09-11): Pass a timeout to IRONdb on all fetch operations. This requires IRONdb >= 0.9.8

  • 0.0.7 (2017-09-13): Use a separate connection timeout on all fetch operations.

  • 0.0.8 (2017-09-13): Introduce IRONDB_MAX_RETRIES

  • 0.0.9 (2017-11-13): API fix for large fetches, reduce errors by catching more connection failure conditions, thanks @cbowman0

  • 0.0.10 (2017-11-21): Fix sending of X-Snowth-Timeout header

  • 0.0.11 (2018-04-09): Allow handling Flatbuffer data coming from IRONdb

  • 0.0.12 (2018-04-16): Performance improvements to Flatbuffer via native C modules instead of native Python. Requires flatcc

  • 0.0.13 (2018-04-17): Fix memory leaks in native C Flatbuffer module

  • 0.0.14 (2018-07-31): Graphite 1.1 compatibility including tag support

  • 0.0.15 (2018-09-14): IRONDB_QUERY_LOG support

  • 0.0.16 (2018-12-06): Improve error handling. Fix tag categories

  • 0.0.17 (2019-01-23): Fix flatcc native Flatbuffer module

  • 0.0.18 (2019-02-20): Improve FlatBuffers support. Fix metric prefix handling. Use Graphite error log

  • 0.0.19 (2019-03-05): Improve FlatBuffer error handling. Add Zipkin header support

  • 0.0.20 (2019-05-03): Don't issue IRONdb series requests for empty find results, Add IRONDB_ROLLUP_WINDOW setting, Respect IRONDB_BATCH_SIZE setting, fix fetcher keyerror, use first start time when all series arrive late

  • 0.0.21 (2019-05-14): Fix memory leak introduced in 0.0.20

If the IRONdb cluster is , be sure to use https:// with IRONDB_URLS above, and use port 8443.

This content was sourced from the on GitHub.

flatcc
flatcc
README
using TLS