Ana-Maria Calin [InfluxData] | Migrating from OSS to InfluxDB Cloud | InfluxDays NA 2021
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This session demonstrates running InfluxDB OSS on a self-hosted cloud platform on Kubernetes and the process of migrating from OSS to the Usage-Based InfluxDB Cloud Platform as well as showcasing the additional features of InfluxDB Cloud including cost benefits of running the same data set on Usage-Based instead of OSS (if there are any).
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The aim of the session is to show how a modern and resource-saving industrial IoT architecture can be built with the help of MQTT Sparkplug, HiveMQ and InfluxDB. Starting with challenges in classic OT/IT systems, the concepts of Sparkplug will be explained, and the session will cover how they can be implemented with MQTT to fulfill requirements for a modern IIoT solution. Attendees will also learn the entire setup process.
How to Create a Modern IIoT Monitoring Solution On iOS Using Swift, MQTT and ...
MOXIE IoT uses industry standards and cutting-edge technology to create a monitoring solution which provides their manufacturing customers with a single source of truth. Their iOS iPad app equips their customers to visualize and analyze industrial factory data in real time. Discover how they use a time series database, MQTT and Ultra-Wideband to accurately measure and track any object, device, personnel or machinery.
In this webinar, Dr. Austin Gurley will dive into:
MOXIE’s approach to app-centric asset monitoring
Their ability to help customers streamline operations while bridging the gap between hardware and software
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On 17th May as part of InfluxDays EMEA 2021 Virtual Experience, the Technical Services team will be offering a free live InfluxDB training to the first 300 registered attendees. This will be hosted over Zoom with two main trainers and there will be assistants to help participants with the course work. The training will be recorded and made available on the InfluxDays website and the InfluxData YouTube channel.
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Virtual training intro to InfluxDB - June 2021
In this training webinar, we will walk you through the basics of InfluxDB – the purpose-built time series database. InfluxDB has everything you need from a time series platform in a single binary – a multi-tenanted time series database, UI and dashboarding tools, background processing and monitoring agent. This one-hour session will include the training and time for live Q&A.
What you will learn
Core concepts of time series databases
An overview of the InfluxDB platform
How to ingesting and query data in InfluxDB
How to Manage Your Time Series Data Pipeline at the Edge with InfluxDB
Prescient Devices is the creator of a low-code DataOps solution for the edge. Prescient Devices’ flagship product, Prescient Designer, is a simple, graphical, and programmable SaaS workflow development platform which helps clients to work with time series data at the edge. It enables IT/OT teams, data engineers and system integrators to build and manage agile data pipelines with zero lines of code. Discover how InfluxDB enables Prescient Devices’ clients to aggregate their IIoT sensor data at the edge for easy reporting and dashboards. By using a time series database, their customers make distributed data operations, such as ETL and edge analytics, faster and more convenient for end users.
Join this webinar as Pablo Acosta and Ashish Yadav dive into:
Prescient Devices’ approach to building advanced edge-to-cloud data pipelines
How to store, retrieve, and aggregate data from the edge for distributed data operations
Their methodology to using a time series database for distributed ETL and edge analytics
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This document discusses managing dashboards, tasks, and alerts for infrastructure through Infrastructure as Code. Infrastructure as Code allows defining and provisioning infrastructure resources like servers, storage, networking, and access control through code. It provides benefits like deployment automation, visibility, reusability, and versioning. The document questions whether dashboards and alerts should be considered infrastructure. It then lists the Influx CLI tool and Influx stack manager as available tools for Infrastructure as Code and provides a demo and overview of the workflow which includes pulling and pushing changes.
Time Series Tech Stack for the IoT Edge
No matter what type of IoT devices you have, or what your use case is for them, you’re going to end up producing a lot of time series data. What you use to handle it is going to be as important to your success as the code you write yourself.
This talk will evaluate the available open source tools for the collection, activation, transmission and visualization of time series data on the IoT Edge, and demonstrate how to use them, together with InfluxDB, to solve various use cases for the Internet of Things.
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How to Use Telegraf and Its Plugin Ecosystem
Telegraf is the open source server agent which is used to collect metrics from your stacks, sensors and systems. It is InfluxDB’s native data collector that supports over 250+ inputs and outputs. Learn how to send data from a variety of systems, apps, databases and services in the appropriate format to InfluxDB. Discover tips and tricks on how to write your own plugins.
Join this webinar as Jessica Ingrassellino and Samantha Wang dive into:
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Specific plugins including Execd input plugins and the Starlark processor plugin
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Taming the Tiger: Tips and Tricks for Using Telegraf
As part of InfluxDays North America 2020 Virtual Experience, the Technical Services team will be offering a free live InfluxDB training to the first 100 registered attendees.This will be hosted over Zoom and Slack with two main trainers and there will be assistants to help participants with the course work. The training will be recorded and made available on the InfluxDays website and the InfluxData YouTube channel.
The course provides an introduction to using Telegraf within a hands-on lab setting. Attendees will be presented a series of lab exercises and get the chance to work through them with the assistance of our remote proctors. After taking this class, attendants will be able to:
Articulate the purposes and value of Telegraf
Understand the basics of configuring and running Telegraf
Understand how to manipulate incoming data to optimize InfluxDB schema
Visualize the insertion results using InfluxDB Cloud UI
Getting Started: Intro to Telegraf - July 2021
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Join this training as Samantha Wang dives into:
Types of Telegraf plugins (i.e. input, output, aggregator and processor)
Specific plugins including Execd input plugins and the Starlark processor plugin
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Spinning your Drones with Cadence Workflows and Apache Kafka
The rapid rise in Big Data use cases over the last decade has been accelerated by popular massively scalable open-source technologies such as Apache Cassandra® for storage, Apache Kafka® for streaming, and OpenSearch® for search. Now there’s a new member of the peloton, Cadence, for orchestration - code-based scalable fault-tolerant workflow orchestration. To illustrate the most important Cadence concepts (and more) we’ll build a realistic drone delivery service demonstration application. We’ll also explore what happens when orchestration meets choreography, and use the drone application to illustrate different ways to integrate Cadence with Apache Kafka, including reusing Kafka microservices. But how scalable is Cadence in practice? We’ll fill the sky with drones - how many drones can we get flying at once?
Online spanish meetup #2
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Cisco’s DX / MX / SX and Room Kit immersive telepresence room systems are highly customizable and configurable, providing multiple ways to integrate with room amenities like lighting, shades and projectors as well as provide customized user/presenter controls. Application developers can leverage the Cisco Collaboration Endpoint - CE API to examine meeting rooms utilization via people counting, but also initiate video calls.
Join us for this overview and demo-rich session to learn how to create In-Room Controls, Javascript Macros and xAPI calls.
DEVNET-2071
https://www.ciscolive.com/us/learn/sessions/session-catalog/?search=DEVNET-2071
Webex Devices xAPI - DEVNET_2071 - Cisco Live - San Diego 2019
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We will cover an overview of the APIs, and demo how to create custom in-room controls, code JavaScript macros and send xAPI calls over SSH and HTTP. Finally, we'll dive into the latest announcements and roadmap for xAPI.
A TRUE STORY ABOUT DATABASE ORCHESTRATION
During this talk, Gianluca will share the architecture of the project, describe the criticalities of the infrastructure and how the team strives to make this powerful service secure, fast, and reliable for all customers using InfluxCloud.
Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...
Modern data processing applications built on Kafka and InfluxDB deliver the performance, reliability, and flexibility that customers need for robust real-time data pipeline solutions. As the saying goes, the pipeline is greater than the sum of its Kafka and InfluxDB parts. In this session, Russ Savage, Director of Product Management at InfluxData will discuss basic concepts of integrating Kafka and InfluxDB while highlighting how companies are creating fault-tolerant, scalable and fast data pipelines with the power of InfluxDB and Kafka.
Virtual training Intro to InfluxDB & Telegraf
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Cloud Technology
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Taming the Tiger: Tips and Tricks for Using Telegraf
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Announcing InfluxDB Clustered
InfluxData is excited to announce InfluxDB Clustered, the self-managed version of InfluxDB 3.0 with unparalleled flexibility, speed, performance, and scale. The evolution of InfluxDB Enterprise, InfluxDB Clustered is delivered as a collection of Kubernetes-based containers and services, which enables you to run and operate InfluxDB 3.0 where you need it, whether that's on-premises or in a private cloud environment. With this new enterprise offering, we’re excited to provide our customers with real-time queries, low-cost object storage, unlimited cardinality, and SQL language support – all with improved data access, support, and security! The newest version of InfluxDB was built on Apache Arrow, and through the open source ecosystem and integrations, extends the value of your time-stamped data.
Join this webinar to learn more about InfluxDB Clustered, and how to manage your large mission-critical workloads in the highly available database service offering!
In this webinar, Balaji Palani and Gunnar Aasen will dive into:
Key features of the new InfluxDB Clustered 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.
Best Practices for Leveraging the Apache Arrow Ecosystem
Apache Arrow is an open source project intended to provide a standardized columnar memory format for flat and hierarchical data. It enables more efficient analytics workloads for modern CPU and GPU hardware, which makes working with large data sets easier and cheaper.
InfluxData and Dremio are both members of the Apache Software Foundation (ASF). Dremio is a data lakehouse management service known for its scalability and capacity for direct querying across diverse data sources. InfluxDB is the purpose-built time series database, and InfluxDB 3.0 has a new columnar storage engine and uses the Arrow format for representing data and moving data to and from Parquet. Discover how InfluxDB and Dremio have advanced their solutions by relying on the Apache Arrow framework.
Join this live panel as Alex Merced and Anais Dotis-Georgiou dive into:
Advantages to utilizing the Apache Arrow ecosystem
Tips and tricks for implementing the columnar data structure
How developers can best utilize the ASF to innovate and contribute to new industry standards
How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...
Bevi are the creators of smart water dispensers which empower people to choose their desired beverage — flat or sparkling, their desired flavor and temperature. Since 2014, Bevi users have saved more than 350 million bottles and cans. Their "smart" water coolers have prevented the extraction of 1.4 trillion oz of oil from Earth and have saved 21.7 billion grams of CO2 from the atmosphere.
Discover how Bevi uses a time series database to enable better predictive maintenance and alerting of their entire ecosystem — including the hardware and software. They are using InfluxDB to collect sensor data in real-time remotely from their internet-connected machines about their status and activity — i.e., flavor and CO2 levels, water temp, filter status, etc. They a7re using these metrics to improve their customer experience and continuously improve their sustainability practices. Gain tips and tricks on how to best utilize InfluxDB's schema-less design.
Join this webinar as Spencer Gagnon dives into:
Bevi's approach to reducing organizations' carbon footprint — they are saving 50K+ bottles and cans annually
Their entire system architecture — including InfluxDB Cloud, Grafana, Kafka, and DigitalOcean
The importance of using time-stamped data to extend the life of their machines
Power Your Predictive Analytics with InfluxDB
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
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 Stack
FlowForge enables organizations to reliably deliver Node-RED applications in a continuous, collaborative, and secure manner. Node-RED is the popular, low-code programming solution that makes it easy to connect different services using a visual programming environment. InfluxData is the creator of InfluxDB, the purpose-built time series database run by developers at scale and in any environment in the cloud, on-premises, or at the edge.
Jump-start monitoring your industrial IoT devices and discover how to build an edge-to-cloud solution with the MING stack. The MING stack includes Mosquitto/MQTT, InfluxDB, Node-RED, and Grafana. This solution can be used to improve fleet management, enable predictive maintenance of industrial machines and power generation equipment (i.e. turbines and generators) and increase safety practices (i.e. buildings, construction sites). Join this webinar to learn best practices from industrial IoT SME's.
In this webinar, Robert Marcer and Jay Clifford dive into:
Best practices for monitoring sensor data collected by everyone — from the edge to the factory
Tips and tricks for using Node-RED and InfluxDB together
Demo — see Node-RED and InfluxDB live
Meet the Founders: An Open Discussion About Rewriting Using Rust
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.
Introducing InfluxDB Cloud Dedicated
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
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During this 1-hour technical webinar, you’ll also get a chance to ask your questions live.
Gain Better Observability with OpenTelemetry and InfluxDB
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.
How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...
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
Introducing InfluxDB’s New Time Series Database Storage Engine
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
Start Automating InfluxDB Deployments at the Edge with balena
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:
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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.
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Key product features and timeline
How Apache Arrow’s ecosystem is used to meet those requirements
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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.
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- 1. Ana Calin | Senior Software Engineer, Deployments Team, InfluxData 27.10.2021 The who, the why and the what of migrating your data. Migrating from OSS to InfluxDB Cloud
- 2. © 2021 InfluxData Inc. All Rights Reserved. © 2021 InfluxData Inc. All Rights Reserved. Ana Calin Photo Goes Here Software Engineer @ InfluxData @AnaMariaCalin @calinah
- 3. © 2021 InfluxData Inc. All Rights Reserved. Content Should I stay or should I go? My InfluxDB OSS setup Steps to consider Demo time Resources
- 4. © 2021 InfluxData Inc. All Rights Reserved. © 2021 InfluxData Inc. All Rights Reserved.
- 5. © 2021 InfluxData Inc. All Rights Reserved. InfluxDB CLoud
- 6. © 2021 InfluxData Inc. All Rights Reserved. © 2021 InfluxData Inc. All Rights Reserved. Deeper insights Multi-Region & Multi-Cloud Interoperability across systems Elastic services InfluxDB Cloud
- 7. © 2021 InfluxData Inc. All Rights Reserved. My InfluxDB OSS setup
- 8. © 2021 InfluxData Inc. All Rights Reserved. Influxdb CLoud # Installs influxdb2 chart from github.com/influxdata/helm-charts/ helm upgrade --install influxdays --namespace influxdays influxdata/influxdb2 --values ~/influxdays-demo/influxdb2_values.yaml # Installs telegraf chart from github.com/influxdata/helm-charts/ helm upgrade --install telegraf --namespace influxdays influxdata/telegraf --values ~/influxdays-demo/telegraf_values.yaml
- 9. © 2021 InfluxData Inc. All Rights Reserved. ~|⇒ kubectl get all -n influxdays NAME READY STATUS RESTARTS AGE pod/influxdays-influxdb2-0 1/1 Running 0 28h pod/telegraf-56798579c7-b4nfj 1/1 Running 0 21h NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE service/influxdays-influxdb2 ClusterIP 10.126.77.243 <none> 80/TCP 28h service/telegraf ClusterIP 10.126.6.166 <none> 8125/UDP 21h NAME READY UP-TO-DATE AVAILABLE AGE deployment.apps/telegraf 1/1 1 1 21h NAME DESIRED CURRENT READY AGE replicaset.apps/telegraf-56798579c7 1 1 1 21h NAME READY AGE statefulset.apps/influxdays-influxdb2 1/1 28h
- 10. © 2021 InfluxData Inc. All Rights Reserved. Before migrating
- 11. © 2021 InfluxData Inc. All Rights Reserved. © 2021 InfluxData Inc. All Rights Reserved. Prerequisites for migration • an InfluxDB Cloud account with an `org_id` and bucket name - https://cloud2.influxdata.com/signup • a write token • quick writes headroom • headroom for the cardinality you are adding • a place to hold the LP data x 2 - S3 or GCS or similar
- 12. © 2021 InfluxData Inc. All Rights Reserved. © 2021 InfluxData Inc. All Rights Reserved. Influxdays Demo
- 13. © 2021 InfluxData Inc. All Rights Reserved. © 2021 InfluxData Inc. All Rights Reserved. Resources https:/ /cloud2.influxdata.com/signup https:/ /github.com/calinah/influxdays-demo https:/ /docs.influxdata.com/influxdb/v2.0/ref erence/cli/influxd/inspect/export-lp/ https:/ /docs.influxdata.com/influxdb/v2.0/ref erence/sample-data/#noaa-ndbc-data
- 14. © 2021 InfluxData Inc. All Rights Reserved. Thank You
- 15. © 2021 InfluxData Inc. All Rights Reserved. Questions?