InfluxDB

Telegraf configurationsInfluxDB OSS lets you automatically generate Telegraf configurations or upload custom Telegraf configurations that collect metrics and write them to InfluxDB OSS.NotebooksUse notebooks to build and annotate processes and data flows for time series data.InfluxDB templatesInfluxDB templates are prepackaged InfluxDB configurations that contain everything from dashboards and Telegraf configurations to notifications and alerts.Install and use the influx CLIUse the influx and influxd command line interfaces to interact with and manage InfluxDB.Use the Interactive Flux REPLUse the Flux REPL (Read–Eval–Print Loop) to execute Flux scripts and interact with InfluxDB and other data sources.Use the InfluxQL shellUse the InfluxQL interactive shell to execute InfluxQL queries and interact with InfluxDB.Use the Flux VS Code extensionThe Flux Visual Studio Code (VS Code) extension provides Flux syntax highlighting, autocompletion, and a direct InfluxDB OSS server integration that lets you run Flux scripts natively and show results in VS Code.Use the Flux LSP with VimUse the Flux LSP with Vim to add auto-completion, syntax checking, and other language-specific features to your editor.Use Grafana with InfluxDB OSSUse Grafana to visualize data from your InfluxDB instance.Use Chronograf with InfluxDB OSSChronograf is a data visualization and dashboarding tool designed to visualize data in InfluxDB 1.x. It is part of the TICKstack that provides an InfluxQL data explorer, Kapacitor integrations, and more. Continue to use Chronograf with InfluxDB Cloud and InfluxDB OSS 2.x and the 1.x compatibility API.Use Kapacitor with InfluxDB OSSKapacitor is a data processing framework that makes it easy to create alerts, run ETL (Extract, Transform and Load) jobs and detect anomalies. Use Kapacitor with InfluxDB OSS 2.x.Downsample data with Quix StreamsUse Quix Streams to create Python service that downsamples data stored in InfluxDB.Use Postman with the InfluxDB APIUse Postman, a popular tool for exploring APIs, to interact with the InfluxDB API.

Specify connection timeout in millisecondsOnce this playbook has run, your netdata instance will start shipping data. Or, trying to anyways, we haven’t yet installed and configured InfluxDB to capture it. Let’s do that now.InfluxDB - Install and configure InfluxDBAs discussed above, InfluxDB is a stable, reliable, timeseries database. Tuned for storing our metrics for long term trending. For this environment we are going to install a single small node. Optimizing and scaling are a topic in and of themselves. To ease installation and maintenance, InfluxDB will be installed using the ansible-influxdb role.The following Ansible playbook configures the ansible-influxdb role to listen for opentsdb messages from our Netdata instance.---- hosts: influxdb vars: influxdb_config: true influxdb_version: 1.5.1 influxdb_admin: enabled: true bind_address: "0.0.0.0" influxdb_opentsdb: database: netdata enabled: true influxdb_databases: - host: localhost name: netdata state: present roles: - role: ansible-influxdbA quick breakdown of the settings supplied: Configure influxdb rather than use the default config Use influxdb 1.5.1 Enable the admin interface Have InfluxDB listen for opentsdb messages and store them in the netdata database Create the netdata databaseAfter this playbook run is successful, you will have an instance of InfluxDB collecting stats from your Netdata proxy!Did it work?If both playbooks ran successfully, system metrics will be flowing something like this:nodes ==> netdata-proxy ==> influxdbYou can confirm this by logging into your InfluxDB node and running the following commands:Check that InfluxDB is running:# systemctl status influxdb● influxdb.service - InfluxDB is an open-source, distributed, time series database Loaded: loaded (/lib/systemd/system/influxdb.service; enabled; vendor preset: enabled) Active: active (running) since Sat 2018-04-14 18:29:03 UTC; 9min ago Docs: Main PID: 11770 (influxd) CGroup: /system.slice/influxdb.service └─11770 /usr/bin/influxd -config /etc/influxdb/influxdb.confCheck that the netdata database was created:# influxConnected to version 1.5.1InfluxDB shell version: 1.5.1> SHOW DATABASES;name: databasesname----netdata_internalCheck that the netdata database is receiving data:Connected to version 1.5.1InfluxDB shell version: 1.5.1> use netdata;Using database netdata> show series;key---netdata.apps.cpu.apps.plugin,host=netdata-01netdata.apps.cpu.build,host=netdata-01netdata.apps.cpu.charts.d.plugin,host=netdata-01netdata.apps.cpu.cron,host=netdata-01netdata.apps.cpu.dhcp,host=netdata-01netdata.apps.cpu.kernel,host=netdata-01netdata.apps.cpu.ksmd,host=netdata-01netdata.apps.cpu.logs,host=netdata-01netdata.apps.cpu.netdata,host=netdata-01netdata.apps.cpu.nfs,host=netdata-01netdata.apps.cpu.other,host=netdata-01netdata.apps.cpu.puma,host=netdata-01netdata.apps.cpu.python.d.plugin,host=netdata-01netdata.apps.cpu.ssh,host=netdata-01netdata.apps.cpu.system,host=netdata-01netdata.apps.cpu.tc_qos_helper,host=netdata-01netdata.apps.cpu.time,host=netdata-01netdata.apps.cpu_system.apps.plugin,host=netdata-01SummaryWith that, you now have high resolution system metrics being collected and sent to InfluxDB for longer term storage, analysis, and more.

Variety of developer productivity features that speed up development time for applications that heavily use time series data. InfluxDB Key Concepts Columnar storage: InfluxDB stores data in a column-oriented format, using Parquet for persistent file storage and Apache Arrow as the in-memory representation of data. Columnar storage results in better data compression and faster queries for analytics workloads. Data Model: The InfluxDB data model will be familiar to anyone who has worked with other database systems. At the highest level are buckets, which are similar to what other systems call databases. InfluxDB measurements are synonymous with tables. Specific data points for a measurement contain tags and values. Tags are used as part of the primary key for querying data and should be used for identifying information used for filtering during queries. InfluxDB is schemaless so new fields can be added without requiring migrations or modifying a schema. Integrations: InfluxDB is built to be flexible and fit into your application’s architecture. One key aspect of this is the many ways InfluxDB makes it easy to read and write data. To start, all database functionality can be accessed via HTTP API or with the InfluxDB CLI. For writing data InfluxDB created Telegraf, a tool that can collect data from hundreds of different sources via plugins and write that data to InfluxDB. Client libraries are also available for the most popular programming languages to allow writing and querying data. Decoupled architecture: InfluxDB 3.0 features a decoupled architecture which allows query compute, data ingestion, and storage to be scaled independently. This allows InfluxDB to be fine-tuned for your use case and results in significant cost savings. Query Languages: InfluxDB can be queried using standard SQL or InfluxQL, an SQL dialect with a number of specialized functions useful for working with time series data. Retention Policies: InfluxDB allows you to define retention policies that determine how long data is stored before being automatically deleted. This is useful for managing the storage of high volume time series data. SQL Server Key Concepts T-SQL: Transact-SQL, an extension of SQL that adds procedural programming elements, such as loops,

Following usernameand password:Username: adminPassword: adminOptional: Create an admin user with a unique password.In the Superset UI, click Settings in the top rightand select List Users.Click in the top right.Select the Admin role and provide the remaining credentials for the new user.Click Save.Delete the default admin users.Create a database connection for InfluxDBIn the Superset UI, click Settings in the top right and selectDatabase Connections.Click + Database in the top right.In the Connect a Database window, click on the Supported Databasesdrop-down menu and select Other.Enter a Display Name (for example, InfluxDB Cloud Dedicated) for the database connection.Enter your SQL Alchemy URI comprised of the following:Protocol: datafusion+flightsqlDomain: InfluxDB Cloud dedicated cluster URLPort: 443Query parameters?database: URL-encoded InfluxDB database name?token: InfluxDB API token with READ access to the specified database# Syntaxdatafusion+flightsql://:?database=&token=# Exampledatafusion+flightsql://cluster-id.a.influxdb.io:443?database=example-database&token=example-tokenClick Test Connection to ensure the connection works.Click Connect to save the database connection.Query InfluxDB with SupersetWith a connection to InfluxDB Cloud Dedicated established, you can beginto query and visualize data from InfluxDB.In the Superset UI, click SQL ▾ in the top navigation bar and select SQL Lab.In the left pane:Under Database, select your InfluxDB connection.Under Schema, select iox.Under See table schema, select the InfluxDB measurement to query.The measurement schema appears in the left pane:Use the query editor to write an SQL query that queries data in yourInfluxDB database.Click Run to execute the query.Query results appear below the query editor.Build visualizations with SupersetUse Superset to create visualizations and dashboards for InfluxDB queries.For a comprehensive walk-through of creating visualizations withSuperset, see the Creating Charts and

Devices, and applications. Users can leverage InfluxDB’s scalability and retention policies to manage large volumes of time series data, and use its powerful query languages to gain insights into the IoT ecosystem.Real-time analyticsInfluxDB’s performance and flexibility make it suitable for real-time analytics use cases, such as tracking user behavior, monitoring application performance, and analyzing financial data. With its support for InfluxQL and SQL, users can perform complex data analysis and aggregation in real-time, enabling them to make data-driven decisions. SQL Server Use Cases Enterprise ApplicationsSQL Server is commonly used as the backend database for enterprise applications, providing a reliable and secure data storage solution.Data Warehousing and Business IntelligenceSQL Server’s built-in analytical features, such as Analysis Services and Reporting Services, make it suitable for data warehousing and business intelligence applications.E-commerce PlatformsSQL Server’s performance and scalability features enable it to support the demanding workloads of e-commerce platforms, handling high volumes of transactions and user data. InfluxDB Pricing Model InfluxDB offers several pricing options, including a free open source version, a cloud-based offering, and an enterprise edition for on-premises deployment: InfluxDB Cloud Serverless: InfluxDB Cloud Serverless is a managed, cloud-based offering with a pay-as-you-go pricing model. It provides additional features, such as monitoring, alerting, and data visualization. InfluxDB Cloud is available across all major cloud providers. InfluxDB Cloud Dedicated - This is a managed cloud solution that provides an isolated InfluxDB instance on dedicated hardware for use cases that require isolation or benefit from being able to specify and fine-tune hardware configuration. InfluxDB Enterprise: On-prem solution with enterprise features for security and support for clustering and other horizontal scaling options. InfluxDB Open Source: The open source version of InfluxDB is free to use and provides the core functionality of the database. SQL Server Pricing Model Microsoft SQL Server offers a variety of licensing options, including per-core, server + CAL (Client Access License), and subscription-based models for cloud deployments. Costs depend on factors such as the edition (Standard, Enterprise, or Developer), the number of cores, and the required features. For cloud-based deployments, Azure SQL Database offers a pay-as-you-go model with various service tiers to

--env DOCKER_INFLUXDB_INIT_RETENTION= \ --env DOCKER_INFLUXDB_INIT_BUCKET= \ --env DOCKER_INFLUXDB_INIT_ADMIN_TOKEN= \ -v $PWD/deploy/initdb.sh:/docker-entrypoint-initdb.d/initdb.sh \ influxdb:2.7">docker run -d --name influxdb \ --network nuodb-net \ -p 8086:8086 \ -p 8082:8082 \ --env DOCKER_INFLUXDB_INIT_MODE=setup \ --env DOCKER_INFLUXDB_INIT_USERNAME= \ --env DOCKER_INFLUXDB_INIT_PASSWORD= \ --env DOCKER_INFLUXDB_INIT_ORG= \ --env DOCKER_INFLUXDB_INIT_RETENTION= \ --env DOCKER_INFLUXDB_INIT_BUCKET= \ --env DOCKER_INFLUXDB_INIT_ADMIN_TOKEN= \ -v $PWD/deploy/initdb.sh:/docker-entrypoint-initdb.d/initdb.sh \ influxdb:2.7Start Grafana with the NuoDB dashboards. \ -v $PWD/conf/provisioning:/etc/grafana/provisioning \ grafana/grafana:9.5.6">docker run -d --name grafana \ --network nuodb-net \ -p 3000:3000 \ --env INFLUX_HOST=influxdb \ --env INFLUXDB_TOKEN= \ -v $PWD/conf/provisioning:/etc/grafana/provisioning \ grafana/grafana:9.5.6If you haven't already, start your NuoDB database.Start the NuoDB Collector daemons for each NuoDB database process.Start the NuoDB YCSB workload generator to explore the various dashboards with live monitoring data.docker run -dit --name ycsb1 \ --hostname ycsb1 \ --network nuodb-net \ --env PEER_ADDRESS=nuoadmin1 \ --env DB_NAME=test \ --env DB_USER=dba \ --env DB_PASSWORD=goalie \ nuodb/ycsb:latest /driver/startup.shSetup in KubernetesHelm Repository StructureThis Github repository contains the NuoDB Insights Helm Chart and all the required components to install and deploy NuoDB Insights.InstallationGetting Started with Helm describes how to install and configure Helm on a client host.Deploying NuoDB using Helm Charts contains a quick primer on how to deploy a NuoDB database using the NuoDB Helm Charts.Deploying NuoDB Insights using Helm Charts describes how to install and configure NuoDB Insights.Setup on Bare Metal LinuxThe following installation instructions apply to Red Hat and CentOS Linux distributions on bare-metal or VMs. For other platforms, see InfluxDB and Grafana installation instructions.1) Download and install InfluxDBInstall InfluxDB on the same host machine referred to by in the NuoDB Collector installation instructions.wget yum localinstall influxdb2-2.7.0.x86_64.rpmsudo service influxdb startIf not using systemd, InfluxDB can be started directly as follows:env $(cat /etc/default/influxdb | xargs) influxd -config /etc/influxdb/influxdb.conf2) Download and install Grafana with NuoDB-Insights dashboardsOn a host in your NuoDB domain, install Grafana and configure it to use the NuoDB-Insights dashboards.wget yum install -y grafana-9.5.6-1.x86_64.rpmgit clone rm -rf /etc/grafana/provisioningsudo cp -r nuodb-insights/conf/provisioning /etc/grafanasudo mkdir -p /etc/grafana/provisioning/notifiers /etc/grafana/provisioning/pluginssudo chown -R root:grafana /etc/grafana/provisioningsudo chmod 755 $(find /etc/grafana/provisioning -type d)sudo chmod 640 $(find /etc/grafana/provisioning -type f)Once installed, Grafana can be started with InfluxDB as a datasource by using the INFLUX_HOST environment variable. In the below echo command, peplace with the machine host name that is running your InfluxDB instance, and run," >> /etc/sysconfig/grafana-serversudo systemctl enable grafana-serversudo systemctl start grafana-server">echo "INFLUX_HOST=" >> /etc/sysconfig/grafana-serversudo systemctl enable grafana-serversudo systemctl start grafana-serverIf not using systemd, Grafana can be started as follows:sudo /etc/rc.d/init.d/grafana-server start3) Install NuoDB Collector on