RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB and Grafana

Sep 14, 2021Download as PPTX, PDF1 like1,012 views

Nowadays, every single modern application, system or solution does expose a RESTful API. On one hand, this is absolutely great and it has led to where we are today, having hundreds of other solutions or applications that can leverage these APIs, extend them, or even build on top of them. On the other hand, we have difficulty monitoring these new and modern systems, applications or solutions. In this session, we will learn how to query the data first using Swagger, when available, extract and parse the data that’s useful for us, store it in InfluxDB, and finally how to create beautiful and meaningful dashboards to have everything on a single pane of glass.

Jorge de la Cruz
@jorgedlcruz
https://jorgedelacruz.es || https://jorgedelacruz.uk
RESTful API – How to
Consume, Extract, Store,
and Visualize Data with
InfluxDB and Grafana

Agenda
• Introduction and Quick Overview of a RESTfulAPI
• Components and diagram of the How-To
• Deep-dive in Swagger
• Deep-dive on Bash Shell and JQ
• Deep-Dive on InfluxDB 1.xQueries, using Grafana as
a Dashboard system

From zero to time-series
Introduction and Quick
Overview -RESTful API

What is an API?
Application Programming Interface
Think of an API as a waitress, you have a menu and
you select some food, the waitress takes that order
to the kitchen, who prepares the food, and the
waitress delivers the order to your table
Request
Response
You Server
API

What is a REST API?
• REpresentational State Transfer (REST)
• Architectural style based on web standards and the HTTP protocol
• Everything is a resource
• CRUD or HTTP methods
Server-client model

GET
HTTP Methods
Most popular protocol used for RESTful implementations is HTTP
REST architecture uses HTML verbs to make requests
Uniquely address data using a uniform and minimal set of
commands
POST
DELETE
PUT
Read data or resources
Create data or resources
Delete data or resources
Update data or resources

HTTP response status code
Informational Codes
Redirection Codes
Server ErrorCodes
SuccessfulCodes
Client Error Codes

Talking with an API
Use existing tools:
• POSTMAN (GoogleChrome)
• RESTClient (Mozilla Firefox)
• Swagger (when available)
• CURL (for the command-line geek)

Comprehend visually what’s what
Components and
diagram of the How-
To

InfluxDB Server
Database Server to save metrics
Bash Shell Script.sh
Bash Script to collect data
COLLECTOR VISUALIZATION
From RESTful API, to InfluxDB, toVisual

Not always available, but when it is,
the best resource
Deep-dive in Swagger

id=96965f6a-6f09-4286-a47c-1346c8631d99
Obtaining our first JSON to parse
objectStorageId=07c58531-19b5-42a9-8051-5a2137bf7731
objectStoragCachePath=E:REPO002
capacityBytes=107370971136
freeSpaceBytes=100837818368
name=NTFS-REPO-1Y

The “sed” for JSON Data, parsing
like a Pro
Deep-dive on Bash
Shell and JQ

Parsing a JSON to useful data with JQ
Jqplay.org
jq '.[] | .objectStorageId,.objectStorageCachePath,.capacityBytes,.freeSpaceBytes,.id,.name'

Putting all of this on Bash Shell Script

How to quickly build gorgeous, yet
useful, Dashboards
Deep-Dive on InfluxDB 1.x
Queries, using Grafana

Grafana – JSON API Plugin
• By Marcus Olsson
• A great way to query, and parse a JSON on the fly, and show it on
Grafana:
• https://grafana.com/grafana/plugins/marcusolsson-json-datasource
• A non-production ready yet, awesome plugin

October 11-12, 2021
Hands-On Flux Training
October 26-27, 2021
Virtual Experience
We look forward to bringing together our
community of developers to learn, interact and
share tips and use cases.
https://www.influxdays.com/influxdays-north-america-2021-virtual-experience/

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If you're using InfluxDB to store and manage your time series data, you're already off to a great start. But why stop there? In our upcoming webinar, we'll show you how to take your data analysis to the next level by building predictive analytics using a variety of tools and techniques. We will demonstrate how to use Quix to create custom dashboards and visualizations that allow you to monitor your data in real-time. We'll also introduce you to Hugging Face, a powerful tool for building models that can predict future trends and identify anomalies. With these tools at your disposal, you'll be able to extract valuable insights from your data and make more informed decisions about the future. Don't miss out on this opportunity to improve your data analysis skills and take your business to the next level! What you will learn: Use InfluxDB to store and manage time series data Utilize Quix and Hugging Face to build models, visualize trends, and identify anomalies Extract valuable insights from your data Improve your data analysis skills to make informed decision

How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base InfluxData

Are you considering replacing your legacy data historian and moving your OT data to the cloud? Join this technical webinar to learn how to adopt InfluxDB and IO Base - a digital platform used to improve operational efficiencies! Teréga Solutions are the creators of digital solutions used to improve energy efficiencies and to address decarbonization challenges. Their network includes 5,000+ km of gas pipelines within France; they aim to help France attain carbon neutrality by 2050. With these impressive goals in mind, Teréga has created IO-Base — the digital platform to improve industrial performance, and increase profitability. Creating digital twins for their clients allows them to collect data from all production sites and view it in real time, from anywhere and at any time. Discover how Teréga uses InfluxDB, Docker, and AWS to monitor its gas and hydrogen pipeline infrastructure. They chose to replace their legacy data historian with InfluxDB — the purpose built time series database. They are collecting more than 100K different metrics at various frequencies — some are collected every 5 seconds to only every 1-2 minutes. THey have reduced overall IT spend by 50% and collect 2x the amount of data at 20x frequency! By using various industrial protocols (Modbus, OPC-UA, etc.), Teréga improved output, reduced the TCO, and is now able to create added-value services: forecast, monitoring, predictive maintenance. Join this webinar as Thomas Delquié dives into: Teréga's approach to modernizing fossil fuel pipelines IT systems while improving yields and safety Their centralized methodology to collecting sensor, hardware, and network metrics The importance of time series data and why they chose InfluxDB

Build an Edge-to-Cloud Solution with the MING StackInfluxData

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The document is an agenda for a discussion between the CTO and founder of Ockam, Mrinal Wadhwa, and the CTO and founder of InfluxData, Paul Dix, about rewriting products using the Rust programming language. It includes an introduction of the founders, an overview of the discussion topics like why they decided to rewrite in Rust and the challenges they faced, how they got their engineers comfortable with Rust, tips they learned in the process, benefits gained from moving to Rust, and how their communities responded to the switch.

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InfluxData is excited to announce the general availability of InfluxDB Cloud Dedicated! It is a fully managed time series database service running on cloud infrastructure resources that are dedicated to a single tenant. With this new offering, we’re excited to provide our customers with additional security options, and more custom configuration options to best suit customers’ workload requirements. Join this webinar to learn more about InfluxDB Cloud, and the new dedicated database service offering! In this webinar, Balaji Palani and Gary Fowler will dive into: Key features of the new InfluxDB Cloud Dedicated solution Use cases for using the newest version of the purpose-built time series database Live demo During this 1-hour technical webinar, you’ll also get a chance to ask your questions live.

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How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...InfluxData

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How Delft University's Engineering Students Make Their EV Formula-Style Race ...InfluxData

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Start Automating InfluxDB Deployments at the Edge with balena InfluxData

balena.io helps companies develop, deploy, update, and manage IoT devices. By using Linux containers and other cloud technologies, balena enables teams to quickly and easily build fleets of connected devices. Developers are able to use containers with the language of choice and pull IoT sensor data from 70+ different single board computers into balenaCloud. Discover how to use balena.io to automate your InfluxDB deployments at the edge! During this one-hour session, experts from balena and InfluxData will demonstrate how to build and deploy your own air quality IoT solution. You will learn: The fundamentals of IoT sensor deployment and management using balena. How to use a time series platform to collect and visualize metrics from edge devices. Tips and tricks to using balenaCloud to automate InfluxDB deployments and Telegraf configurations. How to use InfluxDB's Edge Data Replication feature to collect sensor data and push it to InfluxDB Cloud for analysis. No coding experience required, just a curiosity to start your own IoT adventure.

Understanding InfluxDB’s New Storage EngineInfluxData

Learn more about InfluxDB’s new storage engine! The team developed a cloud-native, real-time, columnar database optimized for time series data. We built it all in Rust and it sits on top of Apache Arrow and DataFusion. We chose Apache Parquet as the persistent format, which is an open source columnar data file format. This new storage engine provides InfluxDB Cloud users with new functionality, including the removal of cardinality limits, so developers can bring in massive amounts of time series data at scale. In this webinar, Anais Dotis-Georgiou will dive into: Requirements for rebuilding InfluxDB’s core Key product features and timeline How Apache Arrow’s ecosystem is used to meet those requirements Stick around for a demo and live Q&A

Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDBInfluxData

RudderStack — the creators of the leading open source Customer Data Platform (CDP) — needed a scalable way to collect and store metrics related to customer events and processing times (down to the nanosecond). They provide their clients with data pipelines that simplify data collection from applications, websites, and SaaS platforms. RudderStack's solution enables clients to stream customer data in real time — they quickly deploy flexible data pipelines that send the data to the customer's entire stack without engineering headaches. Customers are able to stream data from any tool using their 16+ SDK's, and they are able to transform the data in-transit using JavaScript or Python. How does RudderStack use a time series platform to provide their customers with real-time analytics? Join this webinar as Ryan McCrary dives into: RudderStack's approach to streamlining data pipelines with their 180+ out-of-the-box integrations Their data architecture including Kapacitor for alerting and Grafana for customized dashboards Why using InfluxDB was crucial for them for fast data collection and providing single-sources of truths for their customers

Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...InfluxData

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This document outlines the schedule for Day 2 of InfluxDays 2022, an event hosted by InfluxData. The schedule includes sessions on building developer experience, how developers like to work, an overview of the InfluxDB developer console and API, demos of client libraries and the InfluxDB v2 API, tips for getting involved in the InfluxDB community and university, use cases for networking monitoring, crypto/fintech, monitoring/observability, and IIoT, and closing thoughts. Recordings of all sessions will be made available to registered attendees by November 7th. Upcoming events include advanced Flux training in London and resources through the community forums, Slack channel, and online university.

Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...InfluxData

This document contains the agenda for Day 2 of InfluxDays 2022, which includes: - Welcome and introductory remarks from Zoe Steinkamp and Jay Clifford of InfluxData. - Fireside chats and presentations on building great developer experiences, how developers like to work, and use cases for InfluxDB from companies like Tesla, InfluxData, and others. - Sessions on the InfluxDB developer console, APIs, client libraries, getting involved in the community, accelerating time to awesome with InfluxDB University, and tips for analyzing IoT data with InfluxDB. - Closing thoughts from Zoe Steinkamp and Jay Clifford, as well as

Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022InfluxData

The document summarizes the agenda and sessions for Day 1 of InfluxDays 2022. It includes sessions on InfluxDB data collection, scripting languages like Flux, the InfluxDB time series engine, tasks, storage, and a closing discussion. The agenda involves talks from InfluxData employees on building applications with real-time data, navigating the developer experience, solving problems, the InfluxDB platform, community, education, use cases in crypto/fintech and IIoT, and tips/tricks for analysis.

Announcing InfluxDB ClusteredInfluxData

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How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...InfluxData

Power Your Predictive Analytics with InfluxDBInfluxData

How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base InfluxData

Build an Edge-to-Cloud Solution with the MING StackInfluxData

Meet the Founders: An Open Discussion About Rewriting Using RustInfluxData

Introducing InfluxDB Cloud DedicatedInfluxData

Gain Better Observability with OpenTelemetry and InfluxDB InfluxData

How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...InfluxData

How Delft University's Engineering Students Make Their EV Formula-Style Race ...InfluxData

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Start Automating InfluxDB Deployments at the Edge with balena InfluxData

Understanding InfluxDB’s New Storage EngineInfluxData

Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDBInfluxData

Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...InfluxData

Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022InfluxData

Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022InfluxData

Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...InfluxData

Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022InfluxData

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