Giacomo Tirabassi [InfluxData] | Istio at InfluxData | InfluxDays Virtual Experience London 2020
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This talk covers how and why we are running Istio on Kubernetes at InfluxData. Buzzwords can’t substitute engineering. Our experience, roadmap and challenges of using Istio without Prometheus and using Telegraf-operator.
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This document appears to be an agenda for InfluxDays EMEA 2021, an event hosted by InfluxData. It includes opening remarks by the CEO, keynotes on InfluxDB IOx and managing dashboards/alerts. There is a networking break and sessions on integrating Telegraf/InfluxDB/Mist and an InfluxDB roadmap update. Day 2 includes sessions on Grafana, InfluxDB Cloud, IIoT monitoring and an InfluxDB community update. The document thanks InfluxData commercial customers and contributors for their support.
How to Use InfluxDB to Visualize and Monitor MQTT Messages in an IIoT System
HiveMQ is an MQTT broker messaging platform built for fast, efficient and reliable movement of sensor data to and from connected IoT devices. IIoT systems can generate a tremendous amount of data that needs to be analyzed and visualized. MQTT is becoming the dominant protocol for transferring IIoT data from equipment to the cloud.
Discover how HiveMQ’s MQTT broker and InfluxDB can store time series data, using the MQTT protocol, for visualization and analysis. Learn how to use InfluxDB to monitor the metrics produced by operating HIveMQ.
Ana-Maria Calin [InfluxData] | Migrating from OSS to InfluxDB Cloud | InfluxD...
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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How to Monitor Your Gaming Computer with a Time Series Database
How to Monitor Your Gaming Computer with a Time Series Database
Catalogs - Turning a Set of Parquet Files into a Data Set
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How to Gain Real-Time Visibility into Your IaaS with vBridge, InfluxDB, Grafana
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How to Create a Modern IIoT Monitoring Solution On iOS Using Swift, MQTT and ...
How to Create a Modern IIoT Monitoring Solution On iOS Using Swift, MQTT and ...
Three Ways InfluxDB Enables You to Use Time Series Data Across Your Entire En...
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Jacob Marble [InfluxData] | Observability with InfluxDB IOx and OpenTelemetry...
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InfluxDB + Telegraf Operator: Easy Kubernetes Monitoring
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Michael DeSa [InfluxData] | Monitoring Methodologies | InfluxDays Virtual Exp...
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Modern vSphere Monitoring and Dashboard using InfluxDB, Telegraf and Grafana
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Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...
Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...
Ryan Betts [InfluxData] | InfluxDB Platform Performance | InfluxDays Virtual ...
Ryan Betts [InfluxData] | InfluxDB Platform Performance | InfluxDays Virtual ...
Kristina Robinson [InfluxData] | Understand and Visualize Your Data with Infl...
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Taming the Tiger: Tips and Tricks for Using Telegraf
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Brian Gilmore [InfluxData] | InfluxDB in an IoT Application Architecture | In...
Brian Gilmore [InfluxData] | InfluxDB in an IoT Application Architecture | In...
Evan Kaplan [InfluxData] | InfluxDays Opening Remarks | InfluxDays EMEA 2021
Evan Kaplan [InfluxData] | InfluxDays Opening Remarks | InfluxDays EMEA 2021
How to Use InfluxDB to Visualize and Monitor MQTT Messages in an IIoT System
How to Use InfluxDB to Visualize and Monitor MQTT Messages in an IIoT System
Ana-Maria Calin [InfluxData] | Migrating from OSS to InfluxDB Cloud | InfluxD...
Ana-Maria Calin [InfluxData] | Migrating from OSS to InfluxDB Cloud | InfluxD...
Similar to Giacomo Tirabassi [InfluxData] | Istio at InfluxData | InfluxDays Virtual Experience London 2020
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:
Types of Telegraf plugins (i.e. input, output, aggregator and processor)
Specific plugins including Execd input plugins and the Starlark processor plugin
How to create your own Telegraf plugin
Implementing a WebRTC endpoint in GStreamer: challenges, problems and perspec...
WebRTC is one of the main trends on the multimedia arena in the last few years. The ability of bringing real-time audio and video to WWW browsers opens new horizons for developers to create context aware customized applications for inter-human communications. However, for WebRTC technologies to work seamlessly in WWW applications, it’s necessary to manage with a number of present and future complex challenges.
In this talk, we present the experience of the Kurento Media Server team in creating a WebRTC endpoint for GStreamer. We describe the main problems and limitations basing on current GStreamer status describing which parts of WebRTC standards can be currently implemented with GStreamer and which parts require further evolutions and efforts from the community. We will also describe the plans and drafts that are emerging at different standardization groups, including the WebRTC WG at W3C and the RTCWeb WG at IETF. Basing on this, we will try to forecast how WebRTC technologies in particular, but also how real-time multimedia communications in general, may be evolving in the next couple of years and the activities that the GStreamer community should be considering for adapting to these evolutions.
In particular, we shall introduce in detail topics such as the following:
• The evolution of ICE (Interactive Connectivity Establishment).
• Congestion control for RTC streams.
• Implementing WebRTC security securely
• Implementing and optimizing the AVPF profile for RTP
• Benchmarking WebRTC: stats metrics
• Managing sensor data through DataChannels.
An Open-Source Platform to Connect, Manage, and Secure Microservices
Services are at the core of modern software architecture. Deploying a series of modular, small (micro-)services rather than big monoliths gives developers the flexibility to work in different languages, technologies and release cadence across the system; resulting in higher productivity and velocity, especially for larger teams.
With the adoption of microservices, however, new problems emerge due to the sheer number of services that exist in a larger system. Problems that had to be solved once for a monolith, like security, load balancing, monitoring, and rate limiting need to be handled for each service.
Istio, announced at GlueCon 2017, addresses these problems in a fundamental way through a service mesh framework. With Istio, developers can implement the core logic for the microservices, and let the framework take care of the rest – traffic management, discovery, service identity and security, and policy enforcement. Better yet, this can be also done for existing microservices without rewriting or recompiling any of their parts. Istio uses Envoy as its runtime proxy component and provides an extensible intermediation layer which allows global cross-cutting policy enforcement and telemetry collection.
Meetup talk Red Hat OpenShift service mesh
Red Hat OpenShift Service Mesh allows running multiple Istio control planes on a single Kubernetes cluster without requiring elevated privileges. It installs Grafana, Jaeger, and Kiali by default for observability and removes the need for manual sidecar injection. Version 2.0 updates Istio to 1.6, deprecates some policies and components, and improves certificate management with SDS. The presentation demonstrated how Red Hat OpenShift Service Mesh provides traffic management, policy enforcement, and telemetry collection for microservices without code changes.
Cisco Connect Toronto 2018 dc-aci-anywhere
The document provides an overview and roadmap of Cisco's Application Centric Infrastructure (ACI) Multi-Site capabilities. Key points discussed include ACI Multi-Site Orchestrator for cross-fabric configuration, ACI Remote Leaf for extending ACI fabrics to remote locations, and upcoming enhancements in ACI releases 4.0 and 4.1 such as support for multi-cloud, increased scale, and inter-site Layer 3 outside networks. A timeline of ACI software releases shows continuous improvements to Multi-Site capabilities.
Tim Hall and Ryan Betts [InfluxData] | InfluxDB Roadmap and Engineering Updat...
In this talk, Tim and Ryan will provide an InfluxDB roadmap and engineering update. This will also include what you can expect in the future in terms of InfluxDB and Flux capabilities.
Getting Started: Intro to Telegraf - July 2021
In this training webinar, Samantha Wang will walk you through the basics of Telegraf. 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 nearly 300 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. The know-how learned here can be applied to a multitude of use cases and sectors. This one-hour session will include the training and time for live Q&A.
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
How to install and start using Telegraf
Survey of Operating Systems for the IoT Environment
This paper is a comprehensive survey of the various operating systems available for the Internet of Things environment. At first the paper introduces the various aspects of the operating systems designed for the IoT environment where resource constraint poses a huge problem for the operation of the general OS designed for the various computing devices. The latter part of the paper describes the various OS available for the resource constraint IoT environment along with the various platforms each OS supports, the software development kits
available for the development of applications in the respective OS’es along with the various protocols implemented in these OS’es for the purpose of communication and networking.
IRJET- IoT Based Swachch Bharat Abhiyan
1. This document describes an IOT-based system to monitor garbage levels in bins and notify the proper authorities to empty bins when full.
2. An ultrasonic sensor attached to a PIC microcontroller measures garbage levels in bins and sends the data over GPRS to a ThingSpeak server.
3. When a bin reaches maximum capacity, an SMS is sent to notify employees to empty the bin. This system aims to help keep areas clean as part of India's Swachh Bharat Abhiyan cleanliness campaign.
WISE-523x & WISE-224x-EN.pdf
The document describes the WISE-523x and WISE-224xM series of IIoT edge controllers from ICP DAS. The controllers provide no-code logic programming, data logging, connectivity to sensors and I/O modules, and integration with IoT platforms and cloud services. Key features include IF-THEN-ELSE logic rules, support for various I/O modules and protocols including Modbus and MQTT, and connections to cloud platforms like Azure and Bluemix. The controllers can be used for applications involving remote monitoring, factory automation, and environmental monitoring.
Scaling Prometheus Metrics in Kubernetes with Telegraf | Chris Goller | Influ...
Scaling Prometheus in Kubernetes seems easy with service-discovery, but quickly devolves into manual DevOps snowflake setup. Additionally, a single developer is able to overwhelm a federated Prometheus setup and impact the system as a whole without being able to self-service debug. In this talk, Chris will focus on a variety of architectures using Telegraf to scale scraping in Kubernetes and empower developers.
He’ll describe his experiences around scaling /metrics in the microservices of InfluxData’s Cloud 2.0 Kubernetes system…as he was the single developer that added just one more label…
Introduction to MQTT Sparkplug: Plug 'n Play Interoperability for IIoT
A key challenge of IIoT deployments is integrating and sharing data between different systems and services. Many IIoT architectures become a complex set of integrations between hardware devices and software services. Even with MQTT as the hub of an IIoT system, true interoperability can be difficult to achieve.
Sparkplug is an emerging new specification built on top of MQTT that aims to break down the data silos created by pairwise integrations commonly found in IIoT architectures. Where MQTT allows for IIoT systems to decouple operations data from specific applications, Sparkplug defines a common format for MQTT data exchange that promotes plug ‘n play interoperability between hardware solutions and software solutions.
In this webcast, we will introduce the key concepts of MQTT Sparkplug and show how it can promote simplified IIoT architectures. We will also do a live demonstration that will showcase connecting industrial field devices to HiveMQ’s MQTT broker using the Sparkplug client embedded in Opto 22’s groov RIO edge I/O and then visualize Sparkplug messages in an enterprise time-series database. In just 15 minutes we will demonstrate the simplicity of creating plug ’n play interoperability for IIoT solutions.
About the Speakers.
Dominik Obermaier is CTO and co-founder of HiveMQ. He is a member of the OASIS Technical Committee and is part of the standardization committee for MQTT 3.1.1 and MQTT 5. He is the co-author of the book 'The Technical Foundations of IoT' and a frequent speaker on IoT, MQTT, and messaging.
Benson Hougland is VP of Marketing & Product Strategy at Opto 22.
To watch the webinar recording: https://www.hivemq.com/webinars/introduction-to-mqtt-sparkplug-plugnplay-iiot-interoperability
Decoding the IoT Ecosystem
Introducing a holistic view of how IoT applications are built.
Presentation delivered during the IPv6 Coordination Meeting organised by RIPE NCC in Beirut-Lebanon on November 5th 2015. It was updated for the RIPE NCC Levant Regional Meeting done on April 25th 2016 in Beirut.
2307 - DevBCN - Otel 101_compressed.pdf
This document discusses OpenTelemetry, an open source project for collecting and managing traces, metrics, and logs in a vendor-agnostic way. It provides an overview of distributed tracing and explains why distributed traces are useful for root cause analysis. It also describes how to enable distributed tracing by instrumenting services, using a collector, and configuring pipelines in the OpenTelemetry Collector to receive, process, and export telemetry data.
How OpenShift SDN helps to automate
This was a presentation with demo at OpenStackFin event in Helsinki April 2016. It describes SDN and automation provided by OpenShift
Cloud-Native Application Debugging with Envoy and Service Mesh
Microservices have been great for accelerating the software innovation and delivery, but they also present new challenges, especially as abstractions and automated orchestration at every layer make pinpointing the issue seem like walking around a maze with a blindfold. Existing tools weren’t designed for distributed environments, and the new tools need to consider how to leverage these abstraction layers to better observe, test, and troubleshoot issues.
Christian Posta walks you through Envoy Proxy and service mesh architecture for L7 data plane, the key features in Envoy that can help in debugging and troubleshooting, chaos engineering as a testing methodology for microservices, how to approach a testing and debugging framework for microservices, and new open source tools that address these areas. You’ll explore a workflow to discover and resolve microservices issues, including injecting experiments for stress testing the applications, gathering requests in flight, recording and replaying them, and debugging them step by step without affecting production traffic.
ONLINE FOOD ORDERS THROUGH WHATSAPP AUTOMATION BOT
This document describes the development of an online food ordering system through a WhatsApp automation bot. The bot allows users to easily place food orders from popular restaurants via WhatsApp. It was created to address drawbacks of existing food delivery apps and to make ordering accessible for non-literate users. The bot uses Twilio for messaging handling and MongoDB for database management. Messages and order details are stored in MongoDB collections. The system provides a simple way for users familiar with WhatsApp to order food without needing delivery apps.
Inntroduction to MQTT Sparkplug with HiveMQ and Opto22
The recording of this webinar can be found here: https://www.youtube.com/watch?v=LTkpqw7NszE&feature=youtu.be
A key challenge of IIoT deployments is integrating and sharing data between different systems and services. Many IIoT architectures become a complex set of integrations between hardware devices and software services. Even with MQTT as the hub of an IIoT system, true interoperability can be difficult to achieve.
Sparkplug is an emerging new specification built on top of MQTT that aims to break down the data silos created by pairwise integrations commonly found in IIoT architectures. Where MQTT allows for IIoT systems to decouple operations data from specific applications, Sparkplug defines a common format for MQTT data exchange that promotes plug 'n play interoperability between hardware solutions and software solutions.
In this webcast, we will introduce the key concepts of MQTT Sparkplug and show how it can promote simplified IIoT architectures. We will also do a live demonstration that will showcase connecting industrial field devices to HiveMQ's MQTT broker using the Sparkplug client embedded in Opto 22’s groov RIO edge I/O and then visualize Sparkplug messages in an enterprise time-series database. In just 15 minutes we will demonstrate the simplicity of creating plug ’n play interoperability for IIoT solutions.
Here are some resources about Sparkplug:
Sparkplug Essentials articles: bit.ly/sparkplug-essentials
Here are some resources about groov RIO:
Explore groov RIO: bit.ly/groov-rio
Download groov RIO tech specs: bit.ly/groov-rio-data-sheet
Learn more about industrial MQTT: bit.ly/opto22-whitepaper
Edge Computing: A Unified Infrastructure for all the Different Pieces
Edge Computing along with 5G promises to revolutionize customer experience with immersive applications that we can only imagine at this point. The edge will include PNFs, VNFs, and mobile-edge applications; requiring containers, virtual machines and bare-metal compute. But while edge computing promises numerous new revenue streams, managing and orchestrating these edge infrastructure environments is not going to be a seamless, instant process. In this webinar, experts in NFV orchestration discuss the concerns you must address in the transition to the edge, and show how you can use available open source tools to create a single management environment for PNFs, VNFs, and mobile-edge applications.
Istio Triangle Kubernetes Meetup Aug 2019
It's been two years since we introduced the Istio project to the Triangle Kubernetes Meetup group. This presentation will be a brief re-introduction of the Istio project, and a summary of the updates to the Istio project since its 1.0 release.
Similar to Giacomo Tirabassi [InfluxData] | Istio at InfluxData | InfluxDays Virtual Experience London 2020 (20)
Implementing a WebRTC endpoint in GStreamer: challenges, problems and perspec...
Implementing a WebRTC endpoint in GStreamer: challenges, problems and perspec...
An Open-Source Platform to Connect, Manage, and Secure Microservices
An Open-Source Platform to Connect, Manage, and Secure Microservices
Tim Hall and Ryan Betts [InfluxData] | InfluxDB Roadmap and Engineering Updat...
Tim Hall and Ryan Betts [InfluxData] | InfluxDB Roadmap and Engineering Updat...
Survey of Operating Systems for the IoT Environment
Survey of Operating Systems for the IoT Environment
Scaling Prometheus Metrics in Kubernetes with Telegraf | Chris Goller | Influ...
Scaling Prometheus Metrics in Kubernetes with Telegraf | Chris Goller | Influ...
Introduction to MQTT Sparkplug: Plug 'n Play Interoperability for IIoT
Introduction to MQTT Sparkplug: Plug 'n Play Interoperability for IIoT
Cloud-Native Application Debugging with Envoy and Service Mesh
Cloud-Native Application Debugging with Envoy and Service Mesh
ONLINE FOOD ORDERS THROUGH WHATSAPP AUTOMATION BOT
ONLINE FOOD ORDERS THROUGH WHATSAPP AUTOMATION BOT
Inntroduction to MQTT Sparkplug with HiveMQ and Opto22
Inntroduction to MQTT Sparkplug with HiveMQ and Opto22
Edge Computing: A Unified Infrastructure for all the Different Pieces
Edge Computing: A Unified Infrastructure for all the Different Pieces
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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
Live demo
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
How Delft University's Engineering Students Make Their EV Formula-Style Race ...
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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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
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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.
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Understanding InfluxDB’s New Storage Engine
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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Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022
Two new features are coming to Flux that add flexibility
and functionality to your data workflow—polymorphic
labels and dynamic types. This session walks through
these new features and shows how they work.
Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022
This document outlines the schedule for Day 2 of InfluxDays 2022, an event hosted by InfluxData. The schedule includes sessions on building developer experience, how developers like to work, an overview of the InfluxDB developer console and API, demos of client libraries and the InfluxDB v2 API, tips for getting involved in the InfluxDB community and university, use cases for networking monitoring, crypto/fintech, monitoring/observability, and IIoT, and closing thoughts. Recordings of all sessions will be made available to registered attendees by November 7th. Upcoming events include advanced Flux training in London and resources through the community forums, Slack channel, and online university.
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...
This document contains the agenda for Day 2 of InfluxDays 2022, which includes:
- Welcome and introductory remarks from Zoe Steinkamp and Jay Clifford of InfluxData.
- Fireside chats and presentations on building great developer experiences, how developers like to work, and use cases for InfluxDB from companies like Tesla, InfluxData, and others.
- Sessions on the InfluxDB developer console, APIs, client libraries, getting involved in the community, accelerating time to awesome with InfluxDB University, and tips for analyzing IoT data with InfluxDB.
- Closing thoughts from Zoe Steinkamp and Jay Clifford, as well as
Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022
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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Best Practices for Leveraging the Apache Arrow Ecosystem
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Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...
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Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022
Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022
Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022
Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...
Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022
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Giacomo Tirabassi [InfluxData] | Istio at InfluxData | InfluxDays Virtual Experience London 2020
- 2. © 2020 InfluxData. All rights reserved. 2 Who am I? Italian SRE @ InfluxData (keep Cloud2 running) Running Kubernetes since version 1.8 (weird flex but OK) Travel, eat, cook, repeat
- 3. © 2020 InfluxData. All rights reserved. 3 Agenda 1. What is a service mesh? 2. Why do we need a service mesh? 3. How do we run it? 4. Outcome 5. Roadmap
- 4. What is a service mesh? Volume 1
- 5. © 2020 InfluxData. All rights reserved. 5 Alternatives ● Istio (Google) ● Linkerd (CNCF, Buoyant) ● Consul Connect (Hashicorp)
- 6. © 2020 InfluxData. All rights reserved. 6 What is a Service Mesh? Extract functionalities from application into the platform ● Networking: retries, timeout, rate limits, circuit breakers, canary ● Security: mTLS or JWT for authentication, authorization policies ● Observability: automatic tracing, access log, protocol specific metrics
- 7. © 2020 InfluxData. All rights reserved. Kubernetes : Linux Process = Istio : HTTP Request
- 8. © 2020 InfluxData. All rights reserved. 8 Why does it make sense? Extract functionalities from application into the platform ● Unix philosophy: “do one thing and do it well” ● Polyglot platforms: attempts like Hystrix don’t work if multiple languages are used ● Zero trust networks: just because it's in your VPC doesn't mean it's secure, reduce blast radius
- 9. © 2020 InfluxData. All rights reserved. 9 Let it sink in Platform All Apps
- 10. Why do we need a service mesh? Volume 2
- 11. © 2020 InfluxData. All rights reserved. 1 Initial reasons ● Canary deployments ● Defining better SLAs and SLOs
- 12. Challenges
- 13. Moooar complexity Service Mesh CNI Kubernetes Containers Linux OS Cloud Provider
- 15. How do we install and run Istio? Volume 3
- 16. © 2020 InfluxData. All rights reserved. 1 Istio Deployment From version 1.2 to 1.4 ● We kept our fork of Helm installation in Jsonnet ●Configuration mess Version 1.5 and 1.6 ● Istio operator with istiod: single control plane component ● https://github.com/influxdata/helm-charts/tree/master/istio
- 17. © 2020 InfluxData. All rights reserved. 1 Prometheus-less deployment ● With istio-mixer (metrics aggregator) ○ Telegraf sidecar for istio-mixer to scrape metrics ● Without istio-mixer ○ Sidecar with telegraf-operator foristiod ○ telegraf-operator is used to add sidecar to every pod using istioto scrape `http://127.0.0.1:15090/stats/prometheus`
- 18. © 2020 InfluxData. All rights reserved. 1 Istio caused outage ● Running Istio 1.3 and defining a Kubernetes Service with port name `http` and port number `443` broke all communications from application in the mesh to external services exposed with https ● Upstream bug: https://github.com/istio/istio/issues/16458
- 19. © 2020 InfluxData. All rights reserved. 1 Istio caused outage ● Solved in 1.4 upstream ● We solved it with conftest
- 20. Benefits Volume 4
- 21. © 2020 InfluxData. All rights reserved. 2
- 22. © 2020 InfluxData. All rights reserved. 22 sensitive
- 23. © 2020 InfluxData. All rights reserved. 23
- 24. © 2020 InfluxData. All rights reserved. 24
- 25. © 2020 InfluxData. All rights reserved. 25 Dashboards soon to be in https://github.com/influxdata/community-templates
- 27. © 2020 InfluxData. All rights reserved. 2 Roadmap ( 1 of 3) ● Switch to mixer-less monitoring ● more services enrolled in the mesh ● ingress gateway ● configure tracing (flip the switch) ● enable access logs
- 28. © 2020 InfluxData. All rights reserved. 28 Roadmap ( 2 of 3) ● mTLS policy to STRICT which means that envoy will refuse all connections which are not over mTLS from within the MESH ● outbound traffic to REGISTRY_ONLY: this means that only endpoints inside of the mesh and in ServiceEntry are reachable by an app ● start using Egress Gateway for egress traffic out for alerts
- 29. © 2020 InfluxData. All rights reserved. 29 Roadmap ( 3 of 3) ● Sidecar CRD for all workloads (reduce number of connectionscross namespace) ● Start reducing cross service access with PeerAuthentication ● Cross Region Failover with multi-cluster configuration ● Contribute to Kiali to work with InfluxDB
- 30. © 2020 InfluxData. All rights reserved. 30 The End Twitter / Linkedin / Github @gitirabassi