Influxdb

LinuxInfluxDB
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About

An InfluxDB is a time-series database (TSDB) optimized for time-series data. The time-series data are simply metrics or events which are tracked, monitored, and aggregated over time.
These data could be server metrics, web application performance monitoring, sensor data, and many other types of analytics data.

InfluxDB is built on a SQL-like query language called InfluxQL, which makes it easy to query and analyze time-series data. It also has a built-in HTTP API that enables you to easily write and read data, as well as query and manage the database.

In addition, InfluxDB supports several data integrations and plugins, including Grafana, Telegraf, and Kapacitor, which enable you to easily monitor and analyze your data. Overall, InfluxDB is a powerful database solution for applications that require high-performance and scalable storage and querying of time-series data. It is widely used in industries such as IoT, finance, healthcare, and more.

Key Features

  • Time-Series Data: Specifically designed to handle high write and query loads typical of time-series data.
  • High Performance: Capable of ingesting millions of points per second while maintaining low latency for queries.
  • Retention Policies: Allows you to define how long data should be kept, automatically expiring old data based on specified policies.
  • Continuous Queries: Supports continuous queries that automatically aggregate data over specified intervals.
  • Flexible Data Model: Uses tags and fields to store metadata and values, allowing for rich querying capabilities.

You can subscribe to InfluxDb, an AWS Marketplace product and launch an instance from the product’s AMI using the Amazon EC2 launch wizard.

To launch an instance from the AWS Marketplace using the launch wizard

  • Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/
  • From the Amazon EC2 dashboard, choose Launch Instance. On the Choose an Amazon Machine Image (AMI) page, choose the AWS Marketplace category on the left. Find a suitable AMI by browsing the categories, or using the search functionality. Choose Select to choose your product.
  • A dialog displays an overview of the product you’ve selected. You can view the pricing information, as well as any other information that the vendor has provided. When you’re ready, choose Continue.
  • On the Choose an Instance Type page, select the hardware configuration and size of the instance to launch. When you’re done, choose Next: Configure Instance Details.
  • On the next pages of the wizard, you can configure your instance, add storage, and add tags. For more information about the different options you can configure, see Launching an Instance. Choose Next until you reach the Configure Security Group page.
  • The wizard creates a new security group according to the vendor’s specifications for the product. The security group may include rules that allow all IP addresses (0.0.0.0/0) access on SSH (port 22) on Linux or RDP (port 3389) on Windows. We recommend that you adjust these rules to allow only a specific address or range of addresses to access your instance over those ports
  • When you are ready, choose Review and Launch.
  • On the Review Instance Launch page, check the details of the AMI from which you’re about to launch the instance, as well as the other configuration details you set up in the wizard. When you’re ready, choose Launch to select or create a key pair, and launch your instance.
  • Depending on the product you’ve subscribed to, the instance may take a few minutes or more to launch. You are first subscribed to the product before your instance can launch. If there are any problems with your credit card details, you will be asked to update your account details. When the launch confirmation page displays.

Usage/Deployment Instructions

Step 1: SSH into Your Instance: Use the SSH command with the username ubuntu and the appropriate key pair to start the application.

Username: ubuntu

ssh -i path/to/ssh_key.pem ubuntu@instance-IP

Replace path/to/ssh_key.pem with the path to your SSH key file and instance-IP with your instance’s public IP address.

Step 2: Set up InfluxDB through the UI

With InfluxDB running, visit http://instance-ip:8086. Click Get Started.

Step 3: InfluxDB Welcome

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.

Step 4: That’s it! You have now set up InfluxDB through the UI and can begin using it to store and analyze your data.

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    Database management software can help you create and manage your databases so you can easily capture and analyze data. This easily accessible data often leads to greater business insight, helping you refine your data-driven efforts.

    These things vary on the sizing/number of the application transactions and/or hardware considerations for the database. For more details on this you need to request for Database Planning with our support team.

    For Databases, a database administrator requires the following skill set: Database monitoring, sound knowledge of database architecture, re-organization, backups and recovery, jobs, batch scripting, performance tuning, database routines, database internals and trouble shooting.

    In a rough sense, it is similar to the Post-Triggers of the database world. But with functions, the action is already completed at the data-layer, and the event handler just gives an interface by which developers can key in the logic of what needs to happen ‘after’ the action is done. What a function sees is the actual event of the change, and hence it does not directly correlate with Database Triggers.

    It totally depends on the application interface that you are using. These are some following ways,

    • You can verify only from the front-end when application interface shows view functionality of the data you enter. Mainly, Black box test engineers do this functionality verification test in this way.
    • If application interface doesn’t provide view functionality of the data you enter, then you can check for database update by using relevant SQL/Oracle query.

    It is a process of analyzing the given relation schemas based on their functional dependencies and primary keys to achieve the following desirable properties:

    1. Minimizing Redundancy
    2. Minimizing the Insertion, Deletion, And Update Anomalies

    Relation schemas that do not meet the properties are decomposed into smaller relation schemas that could meet desirable properties.

    Highlights

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      Scalability: Can scale horizontally to handle large volumes of data.

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      High Availability: Supports clustering for high availability and redundancy.

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      Rich Querying: Offers powerful querying capabilities to extract insights from time-series data.

    Application Installed

    • icon InfluxDb
    • icon linux