SlideShare una empresa de Scribd logo
1 de 12
Descargar para leer sin conexión
Case Study : InfluxDB
By:-
Omkar Powar (1853002)
Introduction
What is InfluxDB Cloud?
It’s a fast, elastic, serverless real-time monitoring platform,
dashboarding engine, analytics service and event and metrics
processor.
InfluxData 1.x
The InfluxData 1.x platform includes the
following open source components (TICK stack):
● Telegraf: collect data
● InfluxDB: store data
● Chronograf: visualize data
● Kapacitor: process data and alerts
InfluxDB 2.0
The InfluxDB 2.0 platform consolidates components
from the InfluxData 1.x platform into a single packaged
solution, with added features and flexibility:
● InfluxDB 2.0 OSS: open source platform solution in
a single binary
● InfluxDB Cloud 2.0 (commercial offering): hosted
cloud solution
Why use InfluxDB Cloud?
Time to awesome
InfluxDB Cloud provides you with
the fastest time to results. You
can get up and running in
minutes and easily scale your
project as needed. It’s
purpose-built and optimized for
time to awesome. Powerful
wizards walk you through setup
and you’re connected with
recommended dashboards for
the most common use cases.
Serverless–elastic scalability
InfluxDB Cloud is a cloud-native
application that scales elastically
with you. The workload demands
fluctuate, and InfluxDB Cloud
offers real-time observability at
any scale. No need to choose a
size of machine, or go through the
pain of estimating usage; plus,
usage-based pricing ensures you
only pay for what you use.
InfluxDB Cloud provides the best
time series database as a service.
Free
InfluxDB Cloud includes a
rate-limited free plan designed to
be the fastest time to awesome for
anyone getting started or the
hobbyist. Enjoy a few dashboards,
scheduled queries and a
high-performing time series
database, all on the house. And
when you need more, you can
upgrade to the usage-based
service and only pay for what you
use.
Key features
Built for time
InfluxDB is a high-performance data store written
specifically for time series data. It allows for high
throughput ingest, compression and real-time
querying. InfluxDB can handle millions of data
points per second. Working with that much data
over a long period can lead to increased cost of
storage. InfluxDB automatically compacts,
compresses, and downsamples your data
keeping high-precision raw data for a limited time
and storing the lower-precision, summarized data
for much longer or until the end of time. This is
the best way to balance costs without sacrificing
visibility.
Get data from everywhere
Getting insights from your systems, stacks and
sensors is easy. InfluxDB Cloud connects right
to Telegraf, a plugin-driven server agent for
collecting and sending metrics and events from
almost anywhere. Telegraf is written in Go and
compiles into a single binary with no external
dependencies, and requires minimal memory
footprint.
Key features
Deeper insights
InfluxDB Cloud is equipped with Flux,
our powerful language that allows
developers to see across time. Flux is
easy to learn and use, simple to share
and an extensible programming
language designed for data scripting,
monitoring and analytics. Now it is
possible to find hidden meaning in
data, more accurately detect
anomalies, powerful notifications, and
act in time.
Integrated visualization and dashboarding
InfluxDB Cloud comes with prebuilt dashboards
and scripts for common monitoring projects –
Docker, Kubernetes, Nginx, Redis, InfluxDB, with
more being added all the time. Get started fast,
customize some cells and show results in minutes
– not days. Using Grafana? Not a problem,
InfluxDB Cloud is also accessible from Grafana.
Key features
Single unified API
Everything in InfluxDB — ingestion, query,
storage and visualization — is now
accessible via a unified API. APIs enable
faster time to awesome for developers as
everything in the platform can now be
programmatically accessed and controlled. If
you started in the open source, and want to
move to cloud, no problem — same API, no
code change — but now you have an elastic
time series database as a service at your
disposal.
Easy-to-build, easy-to-share templates
InfluxDB Templates — a new set of tools
that includes a packager and a set of
pre-made monitoring solutions — allow you
to share your monitoring expertise with
coworkers and other community members
around the world. The InfluxDB Templates
gallery features available templates covering
some of the most popular tools, applications,
and protocols.
Architecture
InfluxDB Cloud includes way more than you find in the open source –
it is an elastic time series database as a service.
InfluxDB Cloud
Services
Built from an open source core,
InfluxDB Cloud is a serverless
elastic scale database as a
service that is maintained and
administered by the experts at
InfluxData.
Services
Elastic Services
InfluxDB Cloud is built as a cloud-native, multi-tenant, elastic scale, serverless platform. Each
service can scale independently based on workload and usage requirements. This all happens
behind the scenes from the user. Need more storage? It’s there — no need to procure more or
use a bigger machine. Need more compute power to perform complex analytical functions in
Flux? No problem — we elastically scale up to meet that demand with zero human
intervention. The same is true for all the services you might need — compute, query, read,
write, store, visualize, alert, notify, trigger, to name just a few.
Platform Services
InfluxDB Cloud is run by the experts and creators of InfluxDB. Dedicated engineers have
done all the heavy lifting to ensure that the InfluxDB Cloud service is available when you
need it. It is secure and hardened with all the latest security features and patches installed
and configured; it is optimized for elastic scalability; clusters are rebalanced; sharding is
taken care of; and replication factors are built-in. Basically, all the complexity of running a
time series database is done for you. The whole infrastructure is monitored and controlled
enabling you to have the peace of mind to get your real work done.
Services
Support Services
Designed to optimize the time to awesome, InfluxDB Cloud is also supported by the dedicated
team at InfluxData. With flexible support pricing and options, you can choose from Slack and
forum-based community support all the way up to having a dedicated customer success
manager to help you deliver exceptional results to your organization.
Multi-Cloud
InfluxDB Cloud was architected to run on any cloud – Amazon Web Services (AWS), Google
Cloud (GCP) and Microsoft Azure. Designed for ultimate flexibility to prevent lock-in, you get to
choose both the cloud provider and location of the infrastructure. InfluxDB Cloud currently runs
on AWS US-West-2 (Oregon) and EU-Central-1 (Frankfurt), on Google Cloud US-Central
(Iowa) and on Microsoft Azure in the EU-West-1 (Netherlands) and US-East (Virginia) regions.
Suggest which region and service you want us to expand to next by sharing your feedback
here.
Works in your environment
Telegraf
InfluxDB Cloud uses Telegraf for
both collecting and sending metrics
and events from databases,
applications, systems and IoT
sensors. Telegraf is a plugin-driven
server agent with over 200 plugins.
It is written in Go and compiles into
a single binary with no external
dependencies, and requires a very
minimal memory footprint.
Client Libraries
InfluxDB Cloud can be
accessed via a set of powerful
client libraries. Currently, there
are client libraries for C#, Go,
Java, Python, and JavaScript
with more on the way. These
client libraries are easily
accessible in a new tab in the
UI.
API
InfluxDB Cloud can be accessed
programmatically through a robust set
of APIs. These APIs are common
across InfluxDB open source and
InfluxDB Cloud allowing the
developer to write code once and run
it either locally against an open
source version of the database or
against the elastic database as a
service — InfluxDB Cloud.
References
1. https://docs.influxdata.com/influxdb/v2.0/
2. https://www.influxdata.com/blog/release-announcement-influxdb-2-0-0-rc-3/
3. https://docs.influxdata.com/platform/#influxdb-2-0
4. https://www.researchgate.net/publication/335601727_Suitability_Of_Influxdb
_Database_For_Iot_Applications
Thank You

Más contenido relacionado

La actualidad más candente

InfluxDB Live Product Training
InfluxDB Live Product TrainingInfluxDB Live Product Training
InfluxDB Live Product TrainingInfluxData
 
Vasilis Papavasiliou [Mist.io] | Integrating Telegraf, InfluxDB and Mist to M...
Vasilis Papavasiliou [Mist.io] | Integrating Telegraf, InfluxDB and Mist to M...Vasilis Papavasiliou [Mist.io] | Integrating Telegraf, InfluxDB and Mist to M...
Vasilis Papavasiliou [Mist.io] | Integrating Telegraf, InfluxDB and Mist to M...InfluxData
 
Container Monitoring Best Practices Using AWS and InfluxData by Gunnar Aasen
Container Monitoring Best Practices Using AWS and InfluxData by Gunnar AasenContainer Monitoring Best Practices Using AWS and InfluxData by Gunnar Aasen
Container Monitoring Best Practices Using AWS and InfluxData by Gunnar AasenInfluxData
 
InfluxEnterprise Architecture Patterns by Tim Hall & Sam Dillard
InfluxEnterprise Architecture Patterns by Tim Hall & Sam DillardInfluxEnterprise Architecture Patterns by Tim Hall & Sam Dillard
InfluxEnterprise Architecture Patterns by Tim Hall & Sam DillardInfluxData
 
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...InfluxData
 
Setting up InfluxData for IoT
Setting up InfluxData for IoTSetting up InfluxData for IoT
Setting up InfluxData for IoTInfluxData
 
Kapacitor Manager
Kapacitor ManagerKapacitor Manager
Kapacitor ManagerInfluxData
 
Time Series Tech Stack for the IoT Edge
Time Series Tech Stack for the IoT EdgeTime Series Tech Stack for the IoT Edge
Time Series Tech Stack for the IoT EdgeInfluxData
 
WRITING QUERIES (INFLUXQL AND TICK)
WRITING QUERIES (INFLUXQL AND TICK)WRITING QUERIES (INFLUXQL AND TICK)
WRITING QUERIES (INFLUXQL AND TICK)InfluxData
 
InfluxEnterprise Architectural Patterns by Dean Sheehan, Senior Director, Pre...
InfluxEnterprise Architectural Patterns by Dean Sheehan, Senior Director, Pre...InfluxEnterprise Architectural Patterns by Dean Sheehan, Senior Director, Pre...
InfluxEnterprise Architectural Patterns by Dean Sheehan, Senior Director, Pre...InfluxData
 
InfluxDB Cloud Product Update
InfluxDB Cloud Product Update InfluxDB Cloud Product Update
InfluxDB Cloud Product Update InfluxData
 
How to Improve Performance Testing Using InfluxDB and Apache JMeter
How to Improve Performance Testing Using InfluxDB and Apache JMeterHow to Improve Performance Testing Using InfluxDB and Apache JMeter
How to Improve Performance Testing Using InfluxDB and Apache JMeterInfluxData
 
Inside the InfluxDB storage engine
Inside the InfluxDB storage engineInside the InfluxDB storage engine
Inside the InfluxDB storage engineInfluxData
 
InfluxDB Community Office Hours September 2020
InfluxDB Community Office Hours September 2020 InfluxDB Community Office Hours September 2020
InfluxDB Community Office Hours September 2020 InfluxData
 
How InfluxDB Enables NodeSource to Run Extreme Levels of Node.js Processes
How InfluxDB Enables NodeSource to Run Extreme Levels of Node.js ProcessesHow InfluxDB Enables NodeSource to Run Extreme Levels of Node.js Processes
How InfluxDB Enables NodeSource to Run Extreme Levels of Node.js ProcessesInfluxData
 
How EnerKey Using InfluxDB Saves Customers Millions by Detecting Energy Usage...
How EnerKey Using InfluxDB Saves Customers Millions by Detecting Energy Usage...How EnerKey Using InfluxDB Saves Customers Millions by Detecting Energy Usage...
How EnerKey Using InfluxDB Saves Customers Millions by Detecting Energy Usage...InfluxData
 
Jacob Marble [InfluxData] | Observability with InfluxDB IOx and OpenTelemetry...
Jacob Marble [InfluxData] | Observability with InfluxDB IOx and OpenTelemetry...Jacob Marble [InfluxData] | Observability with InfluxDB IOx and OpenTelemetry...
Jacob Marble [InfluxData] | Observability with InfluxDB IOx and OpenTelemetry...InfluxData
 
Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...
Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...
Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...InfluxData
 
GE IOT Predix Time Series & Data Ingestion Service using Apache Apex (Hadoop)
GE IOT Predix Time Series & Data Ingestion Service using Apache Apex (Hadoop)GE IOT Predix Time Series & Data Ingestion Service using Apache Apex (Hadoop)
GE IOT Predix Time Series & Data Ingestion Service using Apache Apex (Hadoop)Apache Apex
 
How to Enable Industrial Decarbonization with Node-RED and InfluxDB
How to Enable Industrial Decarbonization with Node-RED and InfluxDBHow to Enable Industrial Decarbonization with Node-RED and InfluxDB
How to Enable Industrial Decarbonization with Node-RED and InfluxDBInfluxData
 

La actualidad más candente (20)

InfluxDB Live Product Training
InfluxDB Live Product TrainingInfluxDB Live Product Training
InfluxDB Live Product Training
 
Vasilis Papavasiliou [Mist.io] | Integrating Telegraf, InfluxDB and Mist to M...
Vasilis Papavasiliou [Mist.io] | Integrating Telegraf, InfluxDB and Mist to M...Vasilis Papavasiliou [Mist.io] | Integrating Telegraf, InfluxDB and Mist to M...
Vasilis Papavasiliou [Mist.io] | Integrating Telegraf, InfluxDB and Mist to M...
 
Container Monitoring Best Practices Using AWS and InfluxData by Gunnar Aasen
Container Monitoring Best Practices Using AWS and InfluxData by Gunnar AasenContainer Monitoring Best Practices Using AWS and InfluxData by Gunnar Aasen
Container Monitoring Best Practices Using AWS and InfluxData by Gunnar Aasen
 
InfluxEnterprise Architecture Patterns by Tim Hall & Sam Dillard
InfluxEnterprise Architecture Patterns by Tim Hall & Sam DillardInfluxEnterprise Architecture Patterns by Tim Hall & Sam Dillard
InfluxEnterprise Architecture Patterns by Tim Hall & Sam Dillard
 
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
 
Setting up InfluxData for IoT
Setting up InfluxData for IoTSetting up InfluxData for IoT
Setting up InfluxData for IoT
 
Kapacitor Manager
Kapacitor ManagerKapacitor Manager
Kapacitor Manager
 
Time Series Tech Stack for the IoT Edge
Time Series Tech Stack for the IoT EdgeTime Series Tech Stack for the IoT Edge
Time Series Tech Stack for the IoT Edge
 
WRITING QUERIES (INFLUXQL AND TICK)
WRITING QUERIES (INFLUXQL AND TICK)WRITING QUERIES (INFLUXQL AND TICK)
WRITING QUERIES (INFLUXQL AND TICK)
 
InfluxEnterprise Architectural Patterns by Dean Sheehan, Senior Director, Pre...
InfluxEnterprise Architectural Patterns by Dean Sheehan, Senior Director, Pre...InfluxEnterprise Architectural Patterns by Dean Sheehan, Senior Director, Pre...
InfluxEnterprise Architectural Patterns by Dean Sheehan, Senior Director, Pre...
 
InfluxDB Cloud Product Update
InfluxDB Cloud Product Update InfluxDB Cloud Product Update
InfluxDB Cloud Product Update
 
How to Improve Performance Testing Using InfluxDB and Apache JMeter
How to Improve Performance Testing Using InfluxDB and Apache JMeterHow to Improve Performance Testing Using InfluxDB and Apache JMeter
How to Improve Performance Testing Using InfluxDB and Apache JMeter
 
Inside the InfluxDB storage engine
Inside the InfluxDB storage engineInside the InfluxDB storage engine
Inside the InfluxDB storage engine
 
InfluxDB Community Office Hours September 2020
InfluxDB Community Office Hours September 2020 InfluxDB Community Office Hours September 2020
InfluxDB Community Office Hours September 2020
 
How InfluxDB Enables NodeSource to Run Extreme Levels of Node.js Processes
How InfluxDB Enables NodeSource to Run Extreme Levels of Node.js ProcessesHow InfluxDB Enables NodeSource to Run Extreme Levels of Node.js Processes
How InfluxDB Enables NodeSource to Run Extreme Levels of Node.js Processes
 
How EnerKey Using InfluxDB Saves Customers Millions by Detecting Energy Usage...
How EnerKey Using InfluxDB Saves Customers Millions by Detecting Energy Usage...How EnerKey Using InfluxDB Saves Customers Millions by Detecting Energy Usage...
How EnerKey Using InfluxDB Saves Customers Millions by Detecting Energy Usage...
 
Jacob Marble [InfluxData] | Observability with InfluxDB IOx and OpenTelemetry...
Jacob Marble [InfluxData] | Observability with InfluxDB IOx and OpenTelemetry...Jacob Marble [InfluxData] | Observability with InfluxDB IOx and OpenTelemetry...
Jacob Marble [InfluxData] | Observability with InfluxDB IOx and OpenTelemetry...
 
Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...
Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...
Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...
 
GE IOT Predix Time Series & Data Ingestion Service using Apache Apex (Hadoop)
GE IOT Predix Time Series & Data Ingestion Service using Apache Apex (Hadoop)GE IOT Predix Time Series & Data Ingestion Service using Apache Apex (Hadoop)
GE IOT Predix Time Series & Data Ingestion Service using Apache Apex (Hadoop)
 
How to Enable Industrial Decarbonization with Node-RED and InfluxDB
How to Enable Industrial Decarbonization with Node-RED and InfluxDBHow to Enable Industrial Decarbonization with Node-RED and InfluxDB
How to Enable Industrial Decarbonization with Node-RED and InfluxDB
 

Similar a Case Study : InfluxDB

Tim Hall [InfluxData] | InfluxDB Roadmap | InfluxDays Virtual Experience NA 2020
Tim Hall [InfluxData] | InfluxDB Roadmap | InfluxDays Virtual Experience NA 2020Tim Hall [InfluxData] | InfluxDB Roadmap | InfluxDays Virtual Experience NA 2020
Tim Hall [InfluxData] | InfluxDB Roadmap | InfluxDays Virtual Experience NA 2020InfluxData
 
Ibm bluemix
Ibm bluemix Ibm bluemix
Ibm bluemix Narendra
 
DIMT 2023 SG - Hands-on Workshop_ Getting started with Confluent Cloud.pdf
DIMT 2023 SG - Hands-on Workshop_ Getting started with Confluent Cloud.pdfDIMT 2023 SG - Hands-on Workshop_ Getting started with Confluent Cloud.pdf
DIMT 2023 SG - Hands-on Workshop_ Getting started with Confluent Cloud.pdfconfluent
 
Hybrid Kafka, Taking Real-time Analytics to the Business (Cody Irwin, Google ...
Hybrid Kafka, Taking Real-time Analytics to the Business (Cody Irwin, Google ...Hybrid Kafka, Taking Real-time Analytics to the Business (Cody Irwin, Google ...
Hybrid Kafka, Taking Real-time Analytics to the Business (Cody Irwin, Google ...HostedbyConfluent
 
Bluemix Technical Overview
Bluemix Technical OverviewBluemix Technical Overview
Bluemix Technical Overviewrogerp67
 
Best Practices for Building Hybrid-Cloud Architectures | Hans Jespersen
Best Practices for Building Hybrid-Cloud Architectures | Hans JespersenBest Practices for Building Hybrid-Cloud Architectures | Hans Jespersen
Best Practices for Building Hybrid-Cloud Architectures | Hans Jespersenconfluent
 
Cloud X Multi-tenant Product Sheet (Nov. 2014)
Cloud X Multi-tenant Product Sheet (Nov. 2014)Cloud X Multi-tenant Product Sheet (Nov. 2014)
Cloud X Multi-tenant Product Sheet (Nov. 2014)Ahmed Abdel-Latif
 
services offered by Google Cloud Platform.pdf
services offered by  Google Cloud Platform.pdfservices offered by  Google Cloud Platform.pdf
services offered by Google Cloud Platform.pdfarjunnegi34
 
Hybridní cloud s F5 v prostředí kontejnerů
Hybridní cloud s F5 v prostředí kontejnerůHybridní cloud s F5 v prostředí kontejnerů
Hybridní cloud s F5 v prostředí kontejnerůMarketingArrowECS_CZ
 
DevOps and BigData Analytics
DevOps and BigData Analytics DevOps and BigData Analytics
DevOps and BigData Analytics sbbabu
 
Red hat's updates on the cloud & infrastructure strategy
Red hat's updates on the cloud & infrastructure strategyRed hat's updates on the cloud & infrastructure strategy
Red hat's updates on the cloud & infrastructure strategyOrgad Kimchi
 
An Introduction to Confluent Cloud: Apache Kafka as a Service
An Introduction to Confluent Cloud: Apache Kafka as a ServiceAn Introduction to Confluent Cloud: Apache Kafka as a Service
An Introduction to Confluent Cloud: Apache Kafka as a Serviceconfluent
 
Building Complex Workloads in Cloud - AWS PS Summit Canberra
Building Complex Workloads in Cloud - AWS PS Summit CanberraBuilding Complex Workloads in Cloud - AWS PS Summit Canberra
Building Complex Workloads in Cloud - AWS PS Summit CanberraAmazon Web Services
 
Pivotal Cloud Foundry 2.3: A First Look
Pivotal Cloud Foundry 2.3: A First LookPivotal Cloud Foundry 2.3: A First Look
Pivotal Cloud Foundry 2.3: A First LookVMware Tanzu
 
InfluxDB Roadmap: What’s New and What’s Coming
InfluxDB Roadmap: What’s New and What’s ComingInfluxDB Roadmap: What’s New and What’s Coming
InfluxDB Roadmap: What’s New and What’s ComingInfluxData
 
Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...
Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...
Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...HostedbyConfluent
 
An Overview of All The Different Databases in Google Cloud
An Overview of All The Different Databases in Google CloudAn Overview of All The Different Databases in Google Cloud
An Overview of All The Different Databases in Google CloudFibonalabs
 
OpenStack and Cloud Foundry - Pair the leading open source IaaS and PaaS
OpenStack and Cloud Foundry - Pair the leading open source IaaS and PaaSOpenStack and Cloud Foundry - Pair the leading open source IaaS and PaaS
OpenStack and Cloud Foundry - Pair the leading open source IaaS and PaaSDaniel Krook
 

Similar a Case Study : InfluxDB (20)

Tim Hall [InfluxData] | InfluxDB Roadmap | InfluxDays Virtual Experience NA 2020
Tim Hall [InfluxData] | InfluxDB Roadmap | InfluxDays Virtual Experience NA 2020Tim Hall [InfluxData] | InfluxDB Roadmap | InfluxDays Virtual Experience NA 2020
Tim Hall [InfluxData] | InfluxDB Roadmap | InfluxDays Virtual Experience NA 2020
 
Ibm bluemix
Ibm bluemix Ibm bluemix
Ibm bluemix
 
DIMT 2023 SG - Hands-on Workshop_ Getting started with Confluent Cloud.pdf
DIMT 2023 SG - Hands-on Workshop_ Getting started with Confluent Cloud.pdfDIMT 2023 SG - Hands-on Workshop_ Getting started with Confluent Cloud.pdf
DIMT 2023 SG - Hands-on Workshop_ Getting started with Confluent Cloud.pdf
 
Hybrid Kafka, Taking Real-time Analytics to the Business (Cody Irwin, Google ...
Hybrid Kafka, Taking Real-time Analytics to the Business (Cody Irwin, Google ...Hybrid Kafka, Taking Real-time Analytics to the Business (Cody Irwin, Google ...
Hybrid Kafka, Taking Real-time Analytics to the Business (Cody Irwin, Google ...
 
Bluemix Technical Overview
Bluemix Technical OverviewBluemix Technical Overview
Bluemix Technical Overview
 
Javantura v3 - Real-time BigData ingestion and querying of aggregated data – ...
Javantura v3 - Real-time BigData ingestion and querying of aggregated data – ...Javantura v3 - Real-time BigData ingestion and querying of aggregated data – ...
Javantura v3 - Real-time BigData ingestion and querying of aggregated data – ...
 
Best Practices for Building Hybrid-Cloud Architectures | Hans Jespersen
Best Practices for Building Hybrid-Cloud Architectures | Hans JespersenBest Practices for Building Hybrid-Cloud Architectures | Hans Jespersen
Best Practices for Building Hybrid-Cloud Architectures | Hans Jespersen
 
Cloud X Multi-tenant Product Sheet (Nov. 2014)
Cloud X Multi-tenant Product Sheet (Nov. 2014)Cloud X Multi-tenant Product Sheet (Nov. 2014)
Cloud X Multi-tenant Product Sheet (Nov. 2014)
 
services offered by Google Cloud Platform.pdf
services offered by  Google Cloud Platform.pdfservices offered by  Google Cloud Platform.pdf
services offered by Google Cloud Platform.pdf
 
Hybridní cloud s F5 v prostředí kontejnerů
Hybridní cloud s F5 v prostředí kontejnerůHybridní cloud s F5 v prostředí kontejnerů
Hybridní cloud s F5 v prostředí kontejnerů
 
DevOps and BigData Analytics
DevOps and BigData Analytics DevOps and BigData Analytics
DevOps and BigData Analytics
 
Red hat's updates on the cloud & infrastructure strategy
Red hat's updates on the cloud & infrastructure strategyRed hat's updates on the cloud & infrastructure strategy
Red hat's updates on the cloud & infrastructure strategy
 
An Introduction to Confluent Cloud: Apache Kafka as a Service
An Introduction to Confluent Cloud: Apache Kafka as a ServiceAn Introduction to Confluent Cloud: Apache Kafka as a Service
An Introduction to Confluent Cloud: Apache Kafka as a Service
 
Building Complex Workloads in Cloud - AWS PS Summit Canberra
Building Complex Workloads in Cloud - AWS PS Summit CanberraBuilding Complex Workloads in Cloud - AWS PS Summit Canberra
Building Complex Workloads in Cloud - AWS PS Summit Canberra
 
Pivotal Cloud Foundry 2.3: A First Look
Pivotal Cloud Foundry 2.3: A First LookPivotal Cloud Foundry 2.3: A First Look
Pivotal Cloud Foundry 2.3: A First Look
 
InfluxDB Roadmap: What’s New and What’s Coming
InfluxDB Roadmap: What’s New and What’s ComingInfluxDB Roadmap: What’s New and What’s Coming
InfluxDB Roadmap: What’s New and What’s Coming
 
Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...
Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...
Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...
 
Google Cloud Platform
Google Cloud PlatformGoogle Cloud Platform
Google Cloud Platform
 
An Overview of All The Different Databases in Google Cloud
An Overview of All The Different Databases in Google CloudAn Overview of All The Different Databases in Google Cloud
An Overview of All The Different Databases in Google Cloud
 
OpenStack and Cloud Foundry - Pair the leading open source IaaS and PaaS
OpenStack and Cloud Foundry - Pair the leading open source IaaS and PaaSOpenStack and Cloud Foundry - Pair the leading open source IaaS and PaaS
OpenStack and Cloud Foundry - Pair the leading open source IaaS and PaaS
 

Último

2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024SynarionITSolutions
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 

Último (20)

2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 

Case Study : InfluxDB

  • 1. Case Study : InfluxDB By:- Omkar Powar (1853002)
  • 2. Introduction What is InfluxDB Cloud? It’s a fast, elastic, serverless real-time monitoring platform, dashboarding engine, analytics service and event and metrics processor. InfluxData 1.x The InfluxData 1.x platform includes the following open source components (TICK stack): ● Telegraf: collect data ● InfluxDB: store data ● Chronograf: visualize data ● Kapacitor: process data and alerts InfluxDB 2.0 The InfluxDB 2.0 platform consolidates components from the InfluxData 1.x platform into a single packaged solution, with added features and flexibility: ● InfluxDB 2.0 OSS: open source platform solution in a single binary ● InfluxDB Cloud 2.0 (commercial offering): hosted cloud solution
  • 3. Why use InfluxDB Cloud? Time to awesome InfluxDB Cloud provides you with the fastest time to results. You can get up and running in minutes and easily scale your project as needed. It’s purpose-built and optimized for time to awesome. Powerful wizards walk you through setup and you’re connected with recommended dashboards for the most common use cases. Serverless–elastic scalability InfluxDB Cloud is a cloud-native application that scales elastically with you. The workload demands fluctuate, and InfluxDB Cloud offers real-time observability at any scale. No need to choose a size of machine, or go through the pain of estimating usage; plus, usage-based pricing ensures you only pay for what you use. InfluxDB Cloud provides the best time series database as a service. Free InfluxDB Cloud includes a rate-limited free plan designed to be the fastest time to awesome for anyone getting started or the hobbyist. Enjoy a few dashboards, scheduled queries and a high-performing time series database, all on the house. And when you need more, you can upgrade to the usage-based service and only pay for what you use.
  • 4. Key features Built for time InfluxDB is a high-performance data store written specifically for time series data. It allows for high throughput ingest, compression and real-time querying. InfluxDB can handle millions of data points per second. Working with that much data over a long period can lead to increased cost of storage. InfluxDB automatically compacts, compresses, and downsamples your data keeping high-precision raw data for a limited time and storing the lower-precision, summarized data for much longer or until the end of time. This is the best way to balance costs without sacrificing visibility. Get data from everywhere Getting insights from your systems, stacks and sensors is easy. InfluxDB Cloud connects right to Telegraf, a plugin-driven server agent for collecting and sending metrics and events from almost anywhere. Telegraf is written in Go and compiles into a single binary with no external dependencies, and requires minimal memory footprint.
  • 5. Key features Deeper insights InfluxDB Cloud is equipped with Flux, our powerful language that allows developers to see across time. Flux is easy to learn and use, simple to share and an extensible programming language designed for data scripting, monitoring and analytics. Now it is possible to find hidden meaning in data, more accurately detect anomalies, powerful notifications, and act in time. Integrated visualization and dashboarding InfluxDB Cloud comes with prebuilt dashboards and scripts for common monitoring projects – Docker, Kubernetes, Nginx, Redis, InfluxDB, with more being added all the time. Get started fast, customize some cells and show results in minutes – not days. Using Grafana? Not a problem, InfluxDB Cloud is also accessible from Grafana.
  • 6. Key features Single unified API Everything in InfluxDB — ingestion, query, storage and visualization — is now accessible via a unified API. APIs enable faster time to awesome for developers as everything in the platform can now be programmatically accessed and controlled. If you started in the open source, and want to move to cloud, no problem — same API, no code change — but now you have an elastic time series database as a service at your disposal. Easy-to-build, easy-to-share templates InfluxDB Templates — a new set of tools that includes a packager and a set of pre-made monitoring solutions — allow you to share your monitoring expertise with coworkers and other community members around the world. The InfluxDB Templates gallery features available templates covering some of the most popular tools, applications, and protocols.
  • 7. Architecture InfluxDB Cloud includes way more than you find in the open source – it is an elastic time series database as a service. InfluxDB Cloud Services Built from an open source core, InfluxDB Cloud is a serverless elastic scale database as a service that is maintained and administered by the experts at InfluxData.
  • 8. Services Elastic Services InfluxDB Cloud is built as a cloud-native, multi-tenant, elastic scale, serverless platform. Each service can scale independently based on workload and usage requirements. This all happens behind the scenes from the user. Need more storage? It’s there — no need to procure more or use a bigger machine. Need more compute power to perform complex analytical functions in Flux? No problem — we elastically scale up to meet that demand with zero human intervention. The same is true for all the services you might need — compute, query, read, write, store, visualize, alert, notify, trigger, to name just a few. Platform Services InfluxDB Cloud is run by the experts and creators of InfluxDB. Dedicated engineers have done all the heavy lifting to ensure that the InfluxDB Cloud service is available when you need it. It is secure and hardened with all the latest security features and patches installed and configured; it is optimized for elastic scalability; clusters are rebalanced; sharding is taken care of; and replication factors are built-in. Basically, all the complexity of running a time series database is done for you. The whole infrastructure is monitored and controlled enabling you to have the peace of mind to get your real work done.
  • 9. Services Support Services Designed to optimize the time to awesome, InfluxDB Cloud is also supported by the dedicated team at InfluxData. With flexible support pricing and options, you can choose from Slack and forum-based community support all the way up to having a dedicated customer success manager to help you deliver exceptional results to your organization. Multi-Cloud InfluxDB Cloud was architected to run on any cloud – Amazon Web Services (AWS), Google Cloud (GCP) and Microsoft Azure. Designed for ultimate flexibility to prevent lock-in, you get to choose both the cloud provider and location of the infrastructure. InfluxDB Cloud currently runs on AWS US-West-2 (Oregon) and EU-Central-1 (Frankfurt), on Google Cloud US-Central (Iowa) and on Microsoft Azure in the EU-West-1 (Netherlands) and US-East (Virginia) regions. Suggest which region and service you want us to expand to next by sharing your feedback here.
  • 10. Works in your environment Telegraf InfluxDB Cloud uses Telegraf for both collecting and sending metrics and events from databases, applications, systems and IoT sensors. Telegraf is a plugin-driven server agent with over 200 plugins. It is written in Go and compiles into a single binary with no external dependencies, and requires a very minimal memory footprint. Client Libraries InfluxDB Cloud can be accessed via a set of powerful client libraries. Currently, there are client libraries for C#, Go, Java, Python, and JavaScript with more on the way. These client libraries are easily accessible in a new tab in the UI. API InfluxDB Cloud can be accessed programmatically through a robust set of APIs. These APIs are common across InfluxDB open source and InfluxDB Cloud allowing the developer to write code once and run it either locally against an open source version of the database or against the elastic database as a service — InfluxDB Cloud.
  • 11. References 1. https://docs.influxdata.com/influxdb/v2.0/ 2. https://www.influxdata.com/blog/release-announcement-influxdb-2-0-0-rc-3/ 3. https://docs.influxdata.com/platform/#influxdb-2-0 4. https://www.researchgate.net/publication/335601727_Suitability_Of_Influxdb _Database_For_Iot_Applications