INFLUXDB

  • Linux
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About

InfluxDB stands as a robust open-source time-series database, purpose-built to manage the rigorous demands of high-volume data ingestion and querying tasks. Its architecture is finely tuned to handle vast streams of time-stamped data generated by applications such as monitoring systems, IoT devices, and real-time analytics platforms. With a focus on efficiency and scalability, InfluxDB excels in storing, retrieving, and processing time-series data, offering a seamless experience for developers and data engineers alike. Its flexible schema design accommodates dynamic data structures, enabling easy adaptation to evolving data needs. Moreover, Influxdb is rich querying capabilities empower users to extract meaningful insights from their time-series data, facilitating informed decision-making and driving operational efficiency across diverse domains and industries.

  1. Type virtual machines in the search.
  2. Under Services, select Virtual machines.
  3. In the Virtual machines page, select Add. The Create a virtual machine page opens.
  4. In the Basics tab, under Project details, make sure the correct subscription is selected and then choose to Create new resource group. Type myResourceGroup for the name.*.
  5. Under Instance details, type myVM for the Virtual machine name, choose East US for your Region, and choose Ubuntu 18.04 LTS for your Image. Leave the other defaults.
  6. Under Administrator account, select SSH public key, type your user name, then paste in your public key. Remove any leading or trailing white space in your public key.
  7. Under Inbound port rules > Public inbound ports, choose Allow selected ports and then select SSH (22) and HTTP (80) from the drop-down.
  8. Leave the remaining defaults and then select the Review + create button at the bottom of the page.
  9. On the Create a virtual machine page, you can see the details about the VM you are about to create. When you are ready, select Create.

It will take a few minutes for your VM to be deployed. When the deployment is finished, move on to the next section.

Connect to virtual machine

Create an SSH connection with the VM.

  1. Select the Connect button on the overview page for your VM.
  2. In the Connect to virtual machine page, keep the default options to connect by IP address over port 22. In Login using VM local account a connection command is shown. Select the button to copy the command. The following example shows what the SSH connection command looks like:

bashCopy

ssh azureuser@10.111.12.123

  1. Using the same bash shell you used to create your SSH key pair (you can reopen the Cloud Shell by selecting >_ again or going to https://shell.azure.com/bash), paste the SSH connection command into the shell to create an SSH session.

 

Usage/Deployment Instructions

Step 1:  Access the InfluxDB in Azure Marketplace and click on Get it now button.

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Click on Continue and then click on Create.

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Description automatically generatedStep 2: Now to create a virtual machine, enter or select appropriate values for zone, machine type, resource group and so on as per your choice.

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Click on Review + create.

Step 3:  The below window confirms that VM was deployed.

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Step 4:  Open port 8086 in security group by going to resource group –

  1. Select your network security group.
  2. Select Inbound security rules from the left menu, then select Add.
  3. You can limit the Source as needed or leave the default of Any.
  4. You can limit the Destination as needed or leave the default of Any.
  5. Choose a common Service from the drop-down menu, TCP. You can also select Custom if you want to provide a specific port to use like Port_4000.
  6. Optionally, change the Priority or Name. The priority affects the order in which rules are applied: the lower the numerical value, the earlier the rule is applied.
  7. Select Add to create the rule.
  8. Limit the Source port range as 8086. 

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Step 5: Open putty and connect with your machine. Add IP address of the running virtual machine.

Step 6: Login with user name and password that you provided during machine creation.

In the future to stop and restart the InfluxDB, the commands are:

Restart: $ sudo service influxdb restart

Stop: $ sudo service influxdb stop

 

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Allow InfluxDB TCP port 8086 in the Firewall

Since InfluxDB can also be queried from the outside, it may be necessary to update the firewall rules to allow it to connect.

This will allow TCP traffic on port 8086 used by InfluxDB for querying the database from outside.

That’s it! You have now installed InfluxDB on Ubuntu.

Set up InfluxDB

You can use the command line or the GUI to set up InfluxDB.

Set up InfluxDB through the UI

  1. With InfluxDB running, visit http://IP-Address:8086.
  2. Click Get Started.

 

influxdb welcome screen

Set up your initial user

  1. Enter a Username for your initial user.
  2. Enter a Password and Confirm the Password for your user.
  3. Enter your initial Organization Name.
  4. Enter your initial Bucket Name.
  5. Click Continue.

 

influxdb user set up screen

InfluxDB User Setup

influxdb complete screen

That’s it! You have now set up InfluxDB through the UI and can begin using it to store and analyze your data.

influxdb dashboard

Conclusion
In this post, You have now Installed and set up InfluxDB on Ubuntu 20.04 and 22.04. You can continue to explore the InfluxDB UI and API to add data and create dashboards. Thank You!

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Until now, small developers did not have the capital to acquire massive compute resources and ensure they had the capacity they needed to handle unexpected spikes in load. Amazon EC2 enables any developer to leverage Amazon’s own benefits of massive scale with no up-front investment or performance compromises. Developers are now free to innovate knowing that no matter how successful their businesses become, it will be inexpensive and simple to ensure they have the compute capacity they need to meet their business requirements.

The “Elastic” nature of the service allows developers to instantly scale to meet spikes in traffic or demand. When computing requirements unexpectedly change (up or down), Amazon EC2 can instantly respond, meaning that developers have the ability to control how many resources are in use at any given point in time. In contrast, traditional hosting services generally provide a fixed number of resources for a fixed amount of time, meaning that users have a limited ability to easily respond when their usage is rapidly changing, unpredictable, or is known to experience large peaks at various intervals.

 

Traditional hosting services generally provide a pre-configured resource for a fixed amount of time and at a predetermined cost. Amazon EC2 differs fundamentally in the flexibility, control and significant cost savings it offers developers, allowing them to treat Amazon EC2 as their own personal data center with the benefit of Amazon.com’s robust infrastructure.

When computing requirements unexpectedly change (up or down), Amazon EC2 can instantly respond, meaning that developers have the ability to control how many resources are in use at any given point in time. In contrast, traditional hosting services generally provide a fixed number of resources for a fixed amount of time, meaning that users have a limited ability to easily respond when their usage is rapidly changing, unpredictable, or is known to experience large peaks at various intervals.

Secondly, many hosting services don’t provide full control over the compute resources being provided. Using Amazon EC2, developers can choose not only to initiate or shut down instances at any time, they can completely customize the configuration of their instances to suit their needs – and change it at any time. Most hosting services cater more towards groups of users with similar system requirements, and so offer limited ability to change these.

Finally, with Amazon EC2 developers enjoy the benefit of paying only for their actual resource consumption – and at very low rates. Most hosting services require users to pay a fixed, up-front fee irrespective of their actual computing power used, and so users risk overbuying resources to compensate for the inability to quickly scale up resources within a short time frame.

 

Highlights

  • Time-Series Data Model.
  • High Write and Query Performance.
  • SQL-like Query Language (InfluxQL).
  • Tagging and Fielding.
  • Clustering and High Availability.
  • Time-Series Data Model

Application Installed