Home
Turium Algoreus
Turium Algoreus
  • Turium Algoreus Documentation
    • Turium Algoreus Overview
      • How to Guides
        • Axons (Pipeline) User Guide
          • Algoreus Genesis
          • Algoreus Node
          • Steps for a simple batch Axon in Algoreus
          • Configuring Axon in Algoreus
          • Deploying an Axon in Algoreus
          • Running an Axon in Algoreus
          • Viewing and downloading logs in the Genesis in Algoreus
          • Scheduling an Axon in Algoreus
          • Reusable Axons in Algoreus
          • Using Triggers in Algoreus
          • Working with multiple versions of the same node in Algoreus
          • Modifying a draft Axon in Algoreus
          • Editing a deployed Axon in Algoreus
          • Duplicating An Axon in Algoreus
          • Deleting an Axon in Algoreus
          • Deploying nodes from the Algoreus Hub
          • Using node templates in Algoreus
          • Exporting and importing Axons in Algoreus
          • Dynamic resource configuration in Algoreus
          • Working with namespaces in Algoreus
        • Soma (Transformation) User Guide
          • Algoreus Soma Overview
          • Algoreus Soma Concepts
          • Algoreus Soma UI components
          • Working with multiple datasets
          • Navigating between Soma and Algoreus Genesis
          • Editing a transformation created in the Soma
          • Soma data types
          • Working with connections in Soma
          • Parsing a CSV file
          • Strings Formatting
          • Sending records to error
          • Working with numbers in Soma
          • Working with Decimal types in Soma
          • Performing date transformations in Soma
          • Filtering records
          • Finding and replacing values in a column
          • Filling null or empty cells
          • Copying, deleting, and keeping columns
          • Renaming a column
          • Joining two columns
          • Swapping two column names
          • Extracting fields to retrieve values
          • Exploding fields
          • Masking data
          • Encoding records to store or transfer data
          • Decoding records to store or transfer data
          • Applying a Hashing algorithm to a column
          • Upgrading the Soma transformation node version
          • Viewing and downloading a schema in Soma
          • Viewing Soma Service logs
        • Cerebellum (Operations and Monitoring) User Guide
          • Logging and Monitoring
          • Metrics
          • Dashboard and Reports
          • Preferences and Runtime Arguments
          • Transaction Service Maintenance
        • Engram (Metadata) User Guide
          • System Metadata
          • Discovery and Lineage
          • Audit Logging
          • Metadata Management
          • Accessing Metadata Programmatically
          • Metadata Field-Level Lineage
        • Clone (Replication) User Guide
          • Cloning overview
          • Clone Concepts
          • Adding Transformations to a Cloning Job
          • Deleting a Cloning Job
          • Tutorial: Cloning data from Oracle Database to BigQuery
        • Algology (Visualisation) User Guide
          • Dashboards
            • Using Dashboards
            • Building Dashboards
            • Manage dashboards
            • Publishing Dashboard
            • Playlist
            • Create and manage reports
            • Share dashboards and panels
            • Access Dashboard Usage
            • Search Dashboards
          • Panel Editor
            • Configure Panel Options
            • Configure standard options
          • Visualisations
            • Alert List
            • Bar Chart
            • Bar Gauge
            • Candlestick Panel
            • Canvas
            • Dashboard List
            • Flame Graph
            • Gauge
            • Heatmap
            • Histogram
            • Logs
            • Node Graph
            • Traces Panel
            • Pie Chart
            • State Timeline
            • Stat Panel
            • Time series
            • Trend Panel
            • Text Panel
            • Table
            • GeoMap
            • Datagrid Panel
            • Status history
            • Annotations
          • Explore
            • Logs in Explore
            • Queries in Explore
            • Tracing in Explore
            • Inspector in Explore
    • Turium Algoreus Connectors
Powered by GitBook
On this page
  • Exploration of metrics, logs, and traces
  • Alerts
  • Annotations
  • Dashboard variables
  • Authentication
  • Permissions

Was this helpful?

  1. Turium Algoreus Documentation
  2. Turium Algoreus Overview
  3. How to Guides

Algology (Visualisation) User Guide

PreviousTutorial: Cloning data from Oracle Database to BigQueryNextDashboards

Last updated 1 year ago

Was this helpful?

Algology inside Algoreus equips you with the capability to query, visualize, alert, and delve deep into your metrics, logs, and traces, regardless of where they are stored. Algology offers you the necessary tools to transform your time-series database (TSDB) data into insightful graphs and visualizations. The node framework also facilitates the integration of other data sources such as NoSQL/SQL databases, issue-tracking systems like Jira or ServiceNow, and CI/CD tools like GitLab.

The following sections present an overview of Algology features and links to product documentation to enhance your understanding.


Exploration of metrics, logs, and traces

Engage with your data through ad-hoc queries and dynamic drilldowns. Compare different time ranges, queries, and data sources side by side using the split view feature. Check the Explore section for additional information.


Alerts

If you're utilizing Algology's Alerting feature, you can configure alerts to be sent through various notifiers like PagerDuty, SMS, Email, VictorOps, OpsGenie, or Slack.

Alert hooks give you the flexibility to code custom notifiers if you prefer alternative communication channels. You can define visual alert rules for your most important metrics.


Annotations

You can enrich graphs with detailed events from different data sources. Hovering over these events reveals the full event metadata and tags.

This feature, displayed as a graph marker in Algology, is instrumental for correlating data during troubleshooting. Annotations can be manually created by right-clicking on a graph and entering some text, or they can be retrieved from any data source. The Annotations section provides more details.


Dashboard variables

Template variables allow you to construct versatile dashboards that can be reused for numerous different use cases. Template variables eliminate the need for hard-coded values, meaning the same dashboard can be used for both a production server and a test server, for instance.

Templates facilitate detailed data exploration. These dashboards can be shared across your organization's teams, or if you develop a valuable dashboard template for a widely used data source, you can contribute it to the community for customization and usage.


Authentication

In Algology, you can map users to teams. If your organization has its own authentication system, Algology allows you to map the teams in your internal systems to teams in Algology. This enables automatic dashboard access for team members.

Provisioning Power users in need of many dashboards may automate setup via scripting. Anything in Algology can be scripted.


Permissions

When organizations use one Algology instance for multiple teams, the need to maintain separation while sharing dashboards often arises. You can establish a team of users, then set permissions on folders, dashboards, and even down to the data source level if you're using Algology.


Exploration of metrics, logs, and traces
Alerts
Annotations
Dashboard variables
Authentication
Permissions