A Walkthrough of InfluxCloud 2.0 by Tim Hall

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Tim Hall, VP of Products at InfluxData, will demonstrate how to setup and use the next InfluxCloud 2.0 in this InfluxDays NYC 2019 presentation. He provides a brief history of InfluxCloud followed by an overview of InfluxDB 2.0 and a demo.

Technology

Tim Hall
VP Products, InfluxData
A Walkthrough of
InfluxCloud 2.0
@thallinflux

A Brief History of InfluxCloud…
April
2016
August
2017
May
2014
• Enterprise Edition
DBaaS
• Kapacitor Add-On
• Hosted on AWS
• Enterprise Edition
DBaaS
• Chronograf and limited
Kapacitor included
• Co-monitoring
• Pay-as-you-go storage
• Open Source DBaaS
• Hosted on Digital
Ocean

Feedback
Why do I need a
credit card for the
“free” trial?
Can you make
everything even
simpler?
How much capacity
do I really need?
Pre-defined plans
don’t reflect my
workload. So??
How do I gain
access to a backup
of my data?

Feedback Summary
Simplif
y
Reduce Capacity
Planning &
Improve Capacity
Management
Expand Self-Service Options
• Improve my “time to awesome”
• Ease onboarding
• More pre-built dashboards
• Speed time to understanding what
this will cost
• Ensure scale without support
• Allow more visibility and access
across functions such as billing
and operations

InfluxDB v2.0 Changes
• Simplify
– Single unified language for
query and tasks via Flux
– Easy to create centralized
configuration via wizards for
data collection
– Secure and multi-tenant from
the beginning
– Common, unified API across
editions
All Editions Cloud Specific
• Simplify
– Free tier, no credit card required
– Use the free tier…as long as you
like
• Capacity Planning & Management
– Usage-based pricing across the
board
– Clear visibility into usage and
pricing calculators to assist
– Provide discounts for reserved
capacity

What’s Next?
Simplif
y
Expand Self-Service Options
• Use InfluxCloud to monitor your OSS
instance via Free Tier
• Includes pre-built dashboards to
visualize your metrics
• Client Libraries: Go, JavaScript…more
• Alerts & Notifications
• Expand the Telegraf configurator
• InfluxDB v1 compatibility work
• InfluxQL support
• Bulk data handling
• Self-service data export
• Multi-Cloud Support: GCP & Azure
• Optional: integrated billing
Reduce Capacity
Planning &
Improve Capacity
Management

https://www.influxdata.com/influxcloud2beta/

Or… Explore the InfluxDB v2.0 Alpha
Download:
https://portal.influxdata.com/downloads/
Feedback:
https://community.influxdata.com/c/influxdb2
Great open source communities
make the best software!

A Walkthrough of InfluxCloud 2.0 by Tim Hall

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Many developers and DevOps engineers have become aware of using their observability data to gain greater insights into their infrastructure systems. InfluxDB is the purpose-built time series database used to collect metrics and gain observability into apps, servers, containers, and networks. Developers use InfluxDB to improve the quality and efficiency of their CI/CD pipelines. Start using InfluxDB to aggregate infrastructure and application performance monitoring metrics to enable better anomaly detection, root-cause analysis, and alerting. This session will demonstrate how to record metrics, logs, and traces with one library — OpenTelemetry — and store them in one open source time series database — InfluxDB. Zoe will demonstrate how easy it is to set up the OpenTelemetry Operator for Kubernetes and to store and analyze your data in InfluxDB.

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American Metal Processing Company ("AMP") is the US' largest commercial rotary heat treat facility with customers in the automotive, construction, military, and agriculture industries. They use their atmosphere-protected rotary retort furnaces to provide their clients with three primary hardening services: neutral hardening (quench and temper), carburizing, and carbonitriding. This furnace style ensures consistent, uniform heat treatment process vs. traditional batch-or-belt-style furnaces; excels at processing high volumes of smaller parts with tight tolerances; and improves the strength and toughness of plain carbon steels. Discover why AMP’s use of Telegraf, InfluxDB, Node-RED, and Grafana allows them to gain 24/7 insights into their plant operations and metallurgical results. Learn how they use time-stamped data to gain accurate metrics about their consumables usage, furnace profiles, and machine status. Join this webinar as Grant Pinkos dives into: American Metal Processing's approach to heat treating in a digitized environment through connected systems Their approach to collecting and measuring sensor data to enable predictive maintenance and improve product quality Why they need a time series database for managing and analyzing vast amounts of time-stamped data

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Delft University is the oldest and largest technical university in the Netherlands with 25,000+ students. Since 1999, they have had a team of students (undergraduate and graduate) designing, building, and racing cars, as part of the Formula Student worldwide competition. The competition has grown to include teams from 1K+ universities in 20+ countries. Students are responsible for all aspects of car manufacturing (research, construction, testing, developing, marketing, management, and fundraising). Delft University's team includes 90 students across disciplines. Discover how Delft University's team uses Marple and InfluxDB to collect telemetry and sensor metrics while they develop, test, and race their electrics cars. They collect sensor data about their EV's control systems using a time series platform. During races, they are collecting IoT data about their batteries, accelerometer, gyroscope, tires, etc. The engineers are able to share important car stats during races which help the drivers tweak their driving decisions — all with the goal of winning. After races, the entire team are able to analyze data in Marple to understand what to do better next time. By using Marple + InfluxDB, their team are able to collect, share and analyze high frequency car data used to make their car faster at competitions. Join this webinar as Robbin Baauw and Nero Vanbiervliet dive into: Marple's approach to empowering engineers to organize, analyze, and visualize their data Delft University's collaborative methodology to building and racing their Formula-style race car How InfluxDB is crucial to their collaborative engineering and racing process

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InfluxData is excited to announce the general availability of InfluxDB Cloud's new storage engine! It is a cloud-native, real-time, columnar database optimized for time series data. InfluxDB's rebuilt core was coded in Rust and sits on top of Apache Arrow and DataFusion. InfluxData's team picked Apache Parquet as the persistent format. In this webinar, Paul Dix and Balaji Palani will demonstrate key product features including the removal of cardinality limits! They will dive into: The next phase of the InfluxDB platform How using Apache Arrow's ecosystem has improved InfluxDB's performance and scalability Key features of InfluxDB Cloud's new core — including SQL native support

Introducing InfluxDB’s New Time Series Database Storage Engine

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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.

Start Automating InfluxDB Deployments at the Edge with balena

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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

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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

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A Walkthrough of InfluxCloud 2.0 by Tim Hall

1. Tim Hall VP Products, InfluxData A Walkthrough of InfluxCloud 2.0 @thallinflux

2. A Brief History of InfluxCloud… April 2016 August 2017 May 2014 • Enterprise Edition DBaaS • Kapacitor Add-On • Hosted on AWS • Enterprise Edition DBaaS • Chronograf and limited Kapacitor included • Co-monitoring • Pay-as-you-go storage • Open Source DBaaS • Hosted on Digital Ocean

3. Feedback Why do I need a credit card for the “free” trial? Can you make everything even simpler? How much capacity do I really need? Pre-defined plans don’t reflect my workload. So?? How do I gain access to a backup of my data?

4. Feedback Summary Simplif y Reduce Capacity Planning & Improve Capacity Management Expand Self-Service Options • Improve my “time to awesome” • Ease onboarding • More pre-built dashboards • Speed time to understanding what this will cost • Ensure scale without support • Allow more visibility and access across functions such as billing and operations

5. InfluxDB v2.0 Changes • Simplify – Single unified language for query and tasks via Flux – Easy to create centralized configuration via wizards for data collection – Secure and multi-tenant from the beginning – Common, unified API across editions All Editions Cloud Specific • Simplify – Free tier, no credit card required – Use the free tier…as long as you like • Capacity Planning & Management – Usage-based pricing across the board – Clear visibility into usage and pricing calculators to assist – Provide discounts for reserved capacity

6. Demo Time

7. InfluxDB v2.0 Changes • Simplify – Single unified language for query and tasks via Flux – Easy to create centralized configuration via wizards for data collection – Secure and multi-tenant from the beginning – Common, unified API across editions All Editions Cloud Specific • Simplify – Free tier, no credit card required – Use the free tier…as long as you like • Capacity Planning & Management – Usage-based pricing across the board – Clear visibility into usage and pricing calculators to assist – Provide discounts for reserved capacity

8. What’s Next?

9. What’s Next? Simplif y Expand Self-Service Options • Use InfluxCloud to monitor your OSS instance via Free Tier • Includes pre-built dashboards to visualize your metrics • Client Libraries: Go, JavaScript…more • Alerts & Notifications • Expand the Telegraf configurator • InfluxDB v1 compatibility work • InfluxQL support • Bulk data handling • Self-service data export • Multi-Cloud Support: GCP & Azure • Optional: integrated billing Reduce Capacity Planning & Improve Capacity Management

10. https://www.influxdata.com/influxcloud2beta/

11. Or… Explore the InfluxDB v2.0 Alpha Download: https://portal.influxdata.com/downloads/ Feedback: https://community.influxdata.com/c/influxdb2 Great open source communities make the best software!

12. Thank You! @thallinflux

Editor's Notes

First incarnation: 30 day free trial Managed and monitored Open Source Edition Limited to no visibility into the service health and availability Hosted on Digital Ocean Single Tenant Next Iteration: 14 day free trial, any size Managed and monitored Enterprise Edition Kapacitor Add-On Limited to no visibility into the service health and availability Hosted on AWS Single Tenant Enhanced: 14 day free trial, standard Managed and monitored Enterprise Edition DBaaS Chronograf and limited Kapacitor included Co-monitoring Pay-as-you-go storage Hosted on AWS Single Tenant

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