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).

Tecnología

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

© 2021 InﬂuxData Inc. All Rights Reserved.
© 2021 InﬂuxData Inc. All Rights Reserved.
Ana Calin
Photo Goes Here
Software Engineer @ InﬂuxData
@AnaMariaCalin
@calinah

© 2021 InﬂuxData Inc. All Rights Reserved.
Content
Should I stay or should I go?
My InfluxDB OSS setup
Steps to consider
Demo time
Resources

© 2021 InﬂuxData Inc. All Rights Reserved.
© 2021 InﬂuxData Inc. All Rights Reserved.

© 2021 InﬂuxData Inc. All Rights Reserved.
InfluxDB CLoud

© 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

© 2021 InﬂuxData Inc. All Rights Reserved.
My InﬂuxDB OSS setup

© 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

© 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

© 2021 InﬂuxData Inc. All Rights Reserved.
Before migrating

© 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

© 2021 InﬂuxData Inc. All Rights Reserved.
© 2021 InﬂuxData Inc. All Rights Reserved.
Influxdays Demo

© 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

© 2021 InﬂuxData Inc. All Rights Reserved.
Thank You

© 2021 InﬂuxData Inc. All Rights Reserved.
Questions?

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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

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

InfluxData

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

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

InfluxData

Rust is a systems programming language designed for high performance, type safety, and concurrency. According to Stack Overflow’s annual survey in 2022, Rust is the most loved language with 87% of developers saying they want to continue using it. The same survey also reported that nearly 20% of developers aren’t currently using Rust, but want to start developing using it. Ockam’s suite of programming libraries, command line tools, and managed cloud services enable developers to orchestrate end-to-end encryption. InfluxDB is the purpose-built time series database developed to handle time series data for IoT, monitoring, and real-time analytics. Ockam was originally developed using C, and InfluxDB was originally written using Go; both solutions have been completely rewritten in Rust. Discover why two founders decided to rewrite their developer tools using Rust, and gain insight into the strategy beforehand and the entire process. Join this live panel as Mrinal Wadhwa and Paul Dix dive into: Their approach to rewriting a project in Rust How to build and train engineering teams Tips and tricks learned along the way - pitfalls to look out for! Join this webinar as there will be a live discussion with Q&A

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InfluxData

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.

Introducing InfluxDB Cloud Dedicated

InfluxData

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.

Gain Better Observability with OpenTelemetry and InfluxDB

InfluxData

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

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

InfluxData

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

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

InfluxData

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

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.

Start Automating InfluxDB Deployments at the Edge with balena

InfluxData

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

Understanding InfluxDB’s New Storage Engine

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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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Dubai, known for its towering skyscrapers, luxurious lifestyle, and relentless pursuit of innovation, often finds itself in the global spotlight. However, amidst the glitz and glamour, the emirate faces its own set of challenges, including the occasional threat of flooding. In recent years, Dubai has experienced sporadic but significant floods, disrupting normalcy and posing unique challenges to its infrastructure. Among the critical nodes in this bustling metropolis is the Dubai International Airport, a vital hub connecting the world. This article delves into the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

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Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

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In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.

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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

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Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

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AWS Community Day CPH - Three problems of Terraform

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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

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Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

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The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Ana-Maria Calin [InfluxData] | Migrating from OSS to InfluxDB Cloud | InfluxDays NA 2021

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

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

11. © 2021 InfluxData Inc. All Rights Reserved. © 2021 InfluxData Inc. All Rights Reserved. Prerequisites for migration • an InfluxDB Cloud account with an òrg_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

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

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