Sensor Data in InfluxDB by David Simmons, IoT Developer Evangelist | InfluxDataInfluxData
Bring your laptop ready to go(*), and David will provide a walkthrough of a typical data architecture for an IoT device, followed by how to gather data from the devices in the workshop and display it on a dashboard and trigger alerts based on thresholds that you set.
Hari Prasad was using InfluxDB for his personal weekend project as part of his hobby to map the water levels of lakes in his city, rainfall, evaporation index, etc.
His Eureka moment: Software development or any human activity flows with time. He started mapping software development at Fujitsu with time series and created an IOT of Software Development. The POC was well-received and obtained funding to be taken to production as a strategic information system. Earlier, developing a similar system for business required huge budget and efforts, whereas with InfluxDB and its ecosystem, the Quality Cost & Delivery was unbelievable. The Flux addition with 2.0 helped Fujitsu with the power of computing, in addition to queries. They build mean, median, Mode, Quantiles with Flux queries and use other built-in functions. The talk will share the Templates, Flux queries, Scraper code to open source community, all of which will be in GitHub where anyone can reference them.
The talk will show how quickly, reliably and cost-effectively you can do data-driven software development by writing custom code. It is so generic such that all software development teams from small to large can benefit with little or no maintenance.
Brian Gilmore [InfluxData] | InfluxDB in an IoT Application Architecture | In...InfluxData
There are many challenges to building production IoT applications — whether deployed on the shop floor or in millions of homes. Data, specifically time series data, need not be one of them. In this session, Brian Gilmore, IoT Product Manager at InfluxData, outlines the key components of architecture for capturing and analyzing IoT data at ANY scale and showcases how he has implemented these recommendations in his own lab. You will leave this virtual talk with a blueprint for getting started yourself — this talk also covers integrations with Machine Learning and other advanced topics, so InfluxDB users of all experience are welcome!
Russ Savage [Ngrok] | InfluxDB QuickStart | InfluxDays NA 2021InfluxData
Learn how to get up and running with building a Python application built on the InfluxDB platform. Discover how to connect to InfluxDB from a client library, and best practices for user and data management for your time series application.
WP Engine powers more of the top 10M sites than anyone else in WordPress. We serve 5.2 billion web requests per day! Our solution gives our customers performance, intelligence and integrations they need to drive their business forward faster. We needed a monitoring solution without single failure points to support our scale. Discover how WP Engine transformed their monitoring solution into an Observability Platform with InfluxDB, gaining better visibility and reducing infrastructure downtime.
Ana-Maria Calin [InfluxData] | Migrating from OSS to InfluxDB Cloud | InfluxD...InfluxData
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).
Sensor Data in InfluxDB by David Simmons, IoT Developer Evangelist | InfluxDataInfluxData
Bring your laptop ready to go(*), and David will provide a walkthrough of a typical data architecture for an IoT device, followed by how to gather data from the devices in the workshop and display it on a dashboard and trigger alerts based on thresholds that you set.
Hari Prasad was using InfluxDB for his personal weekend project as part of his hobby to map the water levels of lakes in his city, rainfall, evaporation index, etc.
His Eureka moment: Software development or any human activity flows with time. He started mapping software development at Fujitsu with time series and created an IOT of Software Development. The POC was well-received and obtained funding to be taken to production as a strategic information system. Earlier, developing a similar system for business required huge budget and efforts, whereas with InfluxDB and its ecosystem, the Quality Cost & Delivery was unbelievable. The Flux addition with 2.0 helped Fujitsu with the power of computing, in addition to queries. They build mean, median, Mode, Quantiles with Flux queries and use other built-in functions. The talk will share the Templates, Flux queries, Scraper code to open source community, all of which will be in GitHub where anyone can reference them.
The talk will show how quickly, reliably and cost-effectively you can do data-driven software development by writing custom code. It is so generic such that all software development teams from small to large can benefit with little or no maintenance.
Brian Gilmore [InfluxData] | InfluxDB in an IoT Application Architecture | In...InfluxData
There are many challenges to building production IoT applications — whether deployed on the shop floor or in millions of homes. Data, specifically time series data, need not be one of them. In this session, Brian Gilmore, IoT Product Manager at InfluxData, outlines the key components of architecture for capturing and analyzing IoT data at ANY scale and showcases how he has implemented these recommendations in his own lab. You will leave this virtual talk with a blueprint for getting started yourself — this talk also covers integrations with Machine Learning and other advanced topics, so InfluxDB users of all experience are welcome!
Russ Savage [Ngrok] | InfluxDB QuickStart | InfluxDays NA 2021InfluxData
Learn how to get up and running with building a Python application built on the InfluxDB platform. Discover how to connect to InfluxDB from a client library, and best practices for user and data management for your time series application.
WP Engine powers more of the top 10M sites than anyone else in WordPress. We serve 5.2 billion web requests per day! Our solution gives our customers performance, intelligence and integrations they need to drive their business forward faster. We needed a monitoring solution without single failure points to support our scale. Discover how WP Engine transformed their monitoring solution into an Observability Platform with InfluxDB, gaining better visibility and reducing infrastructure downtime.
Ana-Maria Calin [InfluxData] | Migrating from OSS to InfluxDB Cloud | InfluxD...InfluxData
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).
How to Manage Your Time Series Data Pipeline at the Edge with InfluxDBInfluxData
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
Timothy Spann [StreamNative] | Using FLaNK with InfluxDB for EdgeAI IoT at Sc...InfluxData
Using FLaNK with InfluxDB for EdgeAI IoT at Scale
Timothy from StreamNative take you on a hands-on deep-dive on using Pulsar, Apache NiFi + Edge Flow Manager + MiniFi Agents with Apache MXNet, OpenVino, TensorFlow Lite, and other Deep Learning Libraries on the actual edge devices including Raspberry Pi with Movidius 2, Google Coral TPU and NVidia Jetson Nano. The team run deep learning models on the edge devices and send images, and capture real-time GPS and sensor data. Their low-coding IoT applications provide easy edge routing, transformation, data acquisition and alerting before they decide what data to stream real-time to their data space. These edge applications classify images and sensor readings real-time at the edge and then send Deep Learning results to Flink SQL and Apache NiFi for transformation, parsing, enrichment, querying, filtering and merging data to InfluxDB.
Tobias Braun [Herrenknecht AG] | Going Underground with InfluxDB | InfluxDays NA 2021
Going Underground with InfluxDB
Herrenknecht AG is the world’s leading manufacturer of tunnel boring machines. This talk shows how the company is using InfluxDB for capturing IIoT data on hundreds of tunneling construction projects, how they’re transferring this data into the cloud over unreliable network connections and what kind of insights they’re getting out of it.
How Cisco Provides World-Class Technology Conference Experiences Using Automa...InfluxData
Cisco Systems’ Cisco Live conference is held annually in the winter in Europe and in the summer in the United States. A typical US event hosts 600+ breakout sessions, dozens of keynotes, Certification Testing and walk-in labs. The conference serves over 26,000 attendees and all their mobile devices. The internal network team is responsible for ensuring that 2,200 wireless access points and 800 switches are providing sufficient network connectivity, availability and bandwidth for all attendees, speakers and organizers across 2 million square feet of conference space. Over 9 days (4 days of setup and 5 conference days), event staff and attendees have pushed over 84 terabytes of data from the conference to the internet! Dual 100 Gigabit/second primary links and backup 10 Gigabit/second links handle anything the users can throw at it.
The infrastructure required for this event also includes servers, VMs, and containerized workloads. With the growing need for hybrid events, Cisco’s team also ensures 100% video streaming uptime. Discover how Cisco uses InfluxDB to store key performance metrics across many IT domains alongside their commercial management solutions. The team continues to iterate and improve year-over-year to gain visibility into their network and devices to streamline troubleshooting and quickly respond to events before they become service impacting.
In this webinar, Jason Davis dives into:
Cisco’s approach to using automation, orchestration, Python scripts, SNMP, and streaming telemetry to collect network data
Their methodology to troubleshooting, prioritizing, and scheduling fixes to ensure the best client experience
How a time series platform is crucial to their real-time data analysis
TeleHealth Platform: DevOps-Based Progressive Delivery
The talk covers a real-life experience related to building a DevOps Delivery-powered AI platform for doctors’ community and telehealth support for patients during COVID-19 lockdown. The doctors’ community interacts related to cases and triage for different patient cases. They can extend telehealth support using medical practice management solutions. Patients can order medicines online through integrated pharmacies on the platform. AI Platform has digital, voice, and knowledge assistants to provide information to the doctor. DevOps is enabled using Jenkins on AWS which helps in continuous integration and progressive delivery of features to Mobile and web apps (Apple & Google app stores). Historical data is used for predictive analytics by the machine learning platform. The platform helps healthcare enterprises: 1. Deploy voice tech to facilitate clinical documentation 2. Reduce physicians’ administrative burden 3. Increase patient volume and billable revenue 4. Eliminate transcription costs 5. Use voice to increase touchpoints and increase patient engagement.
InfluxDB + Kepware: Start Monitoring Industrial Data QuicklyInfluxData
Kepware (a PTC Technology) is the market leader in Industrial Connectivity platforms, and is helping companies bridge the gap between IT and OT. For the past 25 years, Kepware has developed industrial connectivity tools including over 150 industrial drivers, and supporting over 300 protocols – from traditional automation protocols such as OPC UA or OPC DA to more modern IIoT protocols like MQTT or REST. Together with InfluxDB, customers achieve quick time to value, gaining insights from their industrial time-stamped data. Developers are able to collect, process, store and analyze thousands of metrics faster! Join this webinar to learn multiple approaches to sending IIoT data to a time series database.
In this webinar, Kyle Carreau and Jay Clifford dive into:
How to use Telegraf to send OPC UA and MQTT metrics to InfluxDB
The new Kepware IoT Gateway Advanced Template features to send data directly to InfluxDB
Best practices for using InfluxDB + Kepware for industrial automation – stick around for a demo!
Virtual training intro to InfluxDB - June 2021InfluxData
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
Webinar Registration Getting Started with Building Your First IoT AppInfluxData
If you’re an IoT developer, engineer, project owner, or business, you won’t want to miss the free ($300 value!) virtual Getting Started with Building Your First IoT App workshop on April 8. This workshop showcases a fully functional sample application called IoT Center that is built on InfluxDB. IoT Center demonstrates the capabilities of the InfluxDB platform to develop a JavaScript-enabled time-series-based application. It collects, stores and displays a set of values that include temperature, humidity, pressure, CO2 concentration, air quality, as well as provides GPS coordinates from a set of IoT devices (sensors). With this data stored in InfluxDB, the application can query it for display as well as write data back into the database.
Building an IoT Monitoring App with InfluxDB and LoRaInfluxData
The Internet of Things (IoT) is increasingly driven by sensor data, with devices taking measured actions based on everything from illumination intensity, temperature, and machinery performance to an ecosystem that creates networks, devices and solutions using LoRaWAN®.
In this session we will build a fully functional sample IoT monitoring application built on InfluxDB and powered by the Things Network, collecting sensor metrics from a LoRa device. We will then showcase core InfluxDB tools to query, visualize and generate alert notifications using a custom user interface.
In this workshop you will learn:
How to install and configure the InfluxDB VS code plugin
How to use Telegraf to receive data from the Things Network, and write that data to InfluxDB
How to query InfluxDB so that your app can visualize your IoT data within a custom Flask application
How to deploy a downsampling task in InfluxDB to “clean” and transform raw sensor data while also reducing overall storage costs
How to use InfluxDB’s powerful “Checks and Notifications” system to help you provide custom alerting to your users
Telegraf is an open-source server agent designed to collect metrics from stacks, sensors, and systems — with nearly 300 inputs and outputs. Telegraf Operator makes it easy to use Telegraf for monitoring your Kubernetes workloads. It enables developers to define a common output destination for all metrics, and configure Sidecar monitoring on your application pods using annotations. With the Telegraf sidecar container added, it will collect data and start pushing the metrics to a time series database, like InfluxDB. Discover how to use the Telegraf Operator as a control center for managing individual Telegraf instances which are deployed throughout Kubernetes clusters. Find out how to use the InfluxDB and Telegraf Operator to monitor and get metrics from your Kubernetes workloads.
Join this webinar as InfluxData's Pat Gaughen and Wojciech Kocjan provide:
InfluxDB & Telegraf overview
Telegraf Operator deep-dive
Live demos of sample deployments!
Upgrading Made Easy: Moving to InfluxDB 2.x or InfluxDB Cloud with Cribl LogS...InfluxData
Many organizations agree that migrating workloads to the cloud or to a newer version of existing tooling can result in cost savings and flexibility. A well-designed observability pipeline is often the key to a quick and painless transition, leading to positive impacts on cost optimization, data visibility, and performance. Cribl’s LogStream product helps teams implement such an observability pipeline.
In this hands-on technical discussion, the audience will learn how to leverage Cribl LogStream to successfully upgrade from InfluxDB 1.x to InfluxDB 2.x or move to InfluxDB Cloud. Join us as we walk through the pros and cons of workload migration, share architecture best practices, and give a live demo on how to combine Cribl LogStream with the latest version of InfluxDB.
Getting Started: Intro to Telegraf - July 2021InfluxData
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
David Henthorn [Rose-Hulman Institute of Technology] | Illuminating the Dark ...InfluxData
Critical infrastructure, such as manufacturing facilities, power plants, dams, and chemical plants, has long experienced a phenomenon known as dark data – crucial information is locked away in disparate and proprietary systems. At Rose-Hulman Institute of Technology, we are teaching students to unlock this data with the help of tools such as Telegraf and InfluxDB to better make informed decisions. In addition, these tools allow our students to investigate best practices in data handling and critical infrastructure cybersecurity.
Alex Nauda [Nobl9] | How Not to Build an SLO Platform | InfluxDays NA 2021InfluxData
Nobl9 is a Service Level Objective Platform for measuring and monitoring reliability. We will look under the hood of an SLO platform using InfluxDB as part of the core architecture. We’ll talk about the project, the decisions we took, the challenges we faced, the mistakes we made, and the lessons learned.
How to Streamline Incident Response with InfluxDB, PagerDuty and RundeckInfluxData
Mean Time to Resolution (MTTR) is a foundational KPI for most organizations. DevOps and SRE teams are under intense pressure to reduce MTTR when resolving incidents. Often parts of incident response processes are manual, bringing together alerts, runbooks, ad-hoc scripts, and people to form a response.
In this webinar, we will show you how to improve resolution time by configuring InfluxDB notification endpoints to PagerDuty and triggering auto-remediations with Rundeck. Using Rundeck’s automated runbooks, customers have experienced up to 50% reduction in incident response time, greatly improving team productivity and reducing unnecessary outage time.
Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...InfluxData
Data from sensors and systems flows in from a myriad of sources in industrial settings. In this session, learn how to combine the power of InfluxDB with IoT tools and cloud resources from AWS to extract the most value out of your IoT data. We’ll also be sharing some real-world examples of how customers are using these combined solutions to gain a competitive edge.
Martin Moucka [Red Hat] | How Red Hat Uses gNMI, Telegraf and InfluxDB to Gai...InfluxData
Red Hat is the provider of enterprise open source solutions. Its portfolio of products includes hybrid cloud infrastructure, middleware, cloud-native apps and automation solutions. Its internal network supports all lines of business — including 60+ sites. Discover how Red Hat uses InfluxDB and Flux for better real-time monitoring of their networks to improve performance and to understand utilization better.
Tim Hall and Ryan Betts [InfluxData] | InfluxDB Roadmap and Engineering Updat...InfluxData
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.
KUDO - Kubernetes Operators, the easy wayNick Jones
Kubernetes Operators are the next phase of the journey towards automating complex applications in containers. Many Operators that exist today handle initial deployment, but they don’t provide automation for tasks like binary upgrades, configuration updates, and failure recovery. Implementing a production-grade controller for a complex workload typically requires thousands of lines of code and many months of development. As a result, the quality of operators that are available today varies. The goal of KUDO is to help solve some of these problems by providing a comprehensive toolkit for building Kubernetes operators declaratively using YAML, with a focus on distributed stateful applications.
How to Manage Your Time Series Data Pipeline at the Edge with InfluxDBInfluxData
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
Timothy Spann [StreamNative] | Using FLaNK with InfluxDB for EdgeAI IoT at Sc...InfluxData
Using FLaNK with InfluxDB for EdgeAI IoT at Scale
Timothy from StreamNative take you on a hands-on deep-dive on using Pulsar, Apache NiFi + Edge Flow Manager + MiniFi Agents with Apache MXNet, OpenVino, TensorFlow Lite, and other Deep Learning Libraries on the actual edge devices including Raspberry Pi with Movidius 2, Google Coral TPU and NVidia Jetson Nano. The team run deep learning models on the edge devices and send images, and capture real-time GPS and sensor data. Their low-coding IoT applications provide easy edge routing, transformation, data acquisition and alerting before they decide what data to stream real-time to their data space. These edge applications classify images and sensor readings real-time at the edge and then send Deep Learning results to Flink SQL and Apache NiFi for transformation, parsing, enrichment, querying, filtering and merging data to InfluxDB.
Tobias Braun [Herrenknecht AG] | Going Underground with InfluxDB | InfluxDays NA 2021
Going Underground with InfluxDB
Herrenknecht AG is the world’s leading manufacturer of tunnel boring machines. This talk shows how the company is using InfluxDB for capturing IIoT data on hundreds of tunneling construction projects, how they’re transferring this data into the cloud over unreliable network connections and what kind of insights they’re getting out of it.
How Cisco Provides World-Class Technology Conference Experiences Using Automa...InfluxData
Cisco Systems’ Cisco Live conference is held annually in the winter in Europe and in the summer in the United States. A typical US event hosts 600+ breakout sessions, dozens of keynotes, Certification Testing and walk-in labs. The conference serves over 26,000 attendees and all their mobile devices. The internal network team is responsible for ensuring that 2,200 wireless access points and 800 switches are providing sufficient network connectivity, availability and bandwidth for all attendees, speakers and organizers across 2 million square feet of conference space. Over 9 days (4 days of setup and 5 conference days), event staff and attendees have pushed over 84 terabytes of data from the conference to the internet! Dual 100 Gigabit/second primary links and backup 10 Gigabit/second links handle anything the users can throw at it.
The infrastructure required for this event also includes servers, VMs, and containerized workloads. With the growing need for hybrid events, Cisco’s team also ensures 100% video streaming uptime. Discover how Cisco uses InfluxDB to store key performance metrics across many IT domains alongside their commercial management solutions. The team continues to iterate and improve year-over-year to gain visibility into their network and devices to streamline troubleshooting and quickly respond to events before they become service impacting.
In this webinar, Jason Davis dives into:
Cisco’s approach to using automation, orchestration, Python scripts, SNMP, and streaming telemetry to collect network data
Their methodology to troubleshooting, prioritizing, and scheduling fixes to ensure the best client experience
How a time series platform is crucial to their real-time data analysis
TeleHealth Platform: DevOps-Based Progressive Delivery
The talk covers a real-life experience related to building a DevOps Delivery-powered AI platform for doctors’ community and telehealth support for patients during COVID-19 lockdown. The doctors’ community interacts related to cases and triage for different patient cases. They can extend telehealth support using medical practice management solutions. Patients can order medicines online through integrated pharmacies on the platform. AI Platform has digital, voice, and knowledge assistants to provide information to the doctor. DevOps is enabled using Jenkins on AWS which helps in continuous integration and progressive delivery of features to Mobile and web apps (Apple & Google app stores). Historical data is used for predictive analytics by the machine learning platform. The platform helps healthcare enterprises: 1. Deploy voice tech to facilitate clinical documentation 2. Reduce physicians’ administrative burden 3. Increase patient volume and billable revenue 4. Eliminate transcription costs 5. Use voice to increase touchpoints and increase patient engagement.
InfluxDB + Kepware: Start Monitoring Industrial Data QuicklyInfluxData
Kepware (a PTC Technology) is the market leader in Industrial Connectivity platforms, and is helping companies bridge the gap between IT and OT. For the past 25 years, Kepware has developed industrial connectivity tools including over 150 industrial drivers, and supporting over 300 protocols – from traditional automation protocols such as OPC UA or OPC DA to more modern IIoT protocols like MQTT or REST. Together with InfluxDB, customers achieve quick time to value, gaining insights from their industrial time-stamped data. Developers are able to collect, process, store and analyze thousands of metrics faster! Join this webinar to learn multiple approaches to sending IIoT data to a time series database.
In this webinar, Kyle Carreau and Jay Clifford dive into:
How to use Telegraf to send OPC UA and MQTT metrics to InfluxDB
The new Kepware IoT Gateway Advanced Template features to send data directly to InfluxDB
Best practices for using InfluxDB + Kepware for industrial automation – stick around for a demo!
Virtual training intro to InfluxDB - June 2021InfluxData
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
Webinar Registration Getting Started with Building Your First IoT AppInfluxData
If you’re an IoT developer, engineer, project owner, or business, you won’t want to miss the free ($300 value!) virtual Getting Started with Building Your First IoT App workshop on April 8. This workshop showcases a fully functional sample application called IoT Center that is built on InfluxDB. IoT Center demonstrates the capabilities of the InfluxDB platform to develop a JavaScript-enabled time-series-based application. It collects, stores and displays a set of values that include temperature, humidity, pressure, CO2 concentration, air quality, as well as provides GPS coordinates from a set of IoT devices (sensors). With this data stored in InfluxDB, the application can query it for display as well as write data back into the database.
Building an IoT Monitoring App with InfluxDB and LoRaInfluxData
The Internet of Things (IoT) is increasingly driven by sensor data, with devices taking measured actions based on everything from illumination intensity, temperature, and machinery performance to an ecosystem that creates networks, devices and solutions using LoRaWAN®.
In this session we will build a fully functional sample IoT monitoring application built on InfluxDB and powered by the Things Network, collecting sensor metrics from a LoRa device. We will then showcase core InfluxDB tools to query, visualize and generate alert notifications using a custom user interface.
In this workshop you will learn:
How to install and configure the InfluxDB VS code plugin
How to use Telegraf to receive data from the Things Network, and write that data to InfluxDB
How to query InfluxDB so that your app can visualize your IoT data within a custom Flask application
How to deploy a downsampling task in InfluxDB to “clean” and transform raw sensor data while also reducing overall storage costs
How to use InfluxDB’s powerful “Checks and Notifications” system to help you provide custom alerting to your users
Telegraf is an open-source server agent designed to collect metrics from stacks, sensors, and systems — with nearly 300 inputs and outputs. Telegraf Operator makes it easy to use Telegraf for monitoring your Kubernetes workloads. It enables developers to define a common output destination for all metrics, and configure Sidecar monitoring on your application pods using annotations. With the Telegraf sidecar container added, it will collect data and start pushing the metrics to a time series database, like InfluxDB. Discover how to use the Telegraf Operator as a control center for managing individual Telegraf instances which are deployed throughout Kubernetes clusters. Find out how to use the InfluxDB and Telegraf Operator to monitor and get metrics from your Kubernetes workloads.
Join this webinar as InfluxData's Pat Gaughen and Wojciech Kocjan provide:
InfluxDB & Telegraf overview
Telegraf Operator deep-dive
Live demos of sample deployments!
Upgrading Made Easy: Moving to InfluxDB 2.x or InfluxDB Cloud with Cribl LogS...InfluxData
Many organizations agree that migrating workloads to the cloud or to a newer version of existing tooling can result in cost savings and flexibility. A well-designed observability pipeline is often the key to a quick and painless transition, leading to positive impacts on cost optimization, data visibility, and performance. Cribl’s LogStream product helps teams implement such an observability pipeline.
In this hands-on technical discussion, the audience will learn how to leverage Cribl LogStream to successfully upgrade from InfluxDB 1.x to InfluxDB 2.x or move to InfluxDB Cloud. Join us as we walk through the pros and cons of workload migration, share architecture best practices, and give a live demo on how to combine Cribl LogStream with the latest version of InfluxDB.
Getting Started: Intro to Telegraf - July 2021InfluxData
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
David Henthorn [Rose-Hulman Institute of Technology] | Illuminating the Dark ...InfluxData
Critical infrastructure, such as manufacturing facilities, power plants, dams, and chemical plants, has long experienced a phenomenon known as dark data – crucial information is locked away in disparate and proprietary systems. At Rose-Hulman Institute of Technology, we are teaching students to unlock this data with the help of tools such as Telegraf and InfluxDB to better make informed decisions. In addition, these tools allow our students to investigate best practices in data handling and critical infrastructure cybersecurity.
Alex Nauda [Nobl9] | How Not to Build an SLO Platform | InfluxDays NA 2021InfluxData
Nobl9 is a Service Level Objective Platform for measuring and monitoring reliability. We will look under the hood of an SLO platform using InfluxDB as part of the core architecture. We’ll talk about the project, the decisions we took, the challenges we faced, the mistakes we made, and the lessons learned.
How to Streamline Incident Response with InfluxDB, PagerDuty and RundeckInfluxData
Mean Time to Resolution (MTTR) is a foundational KPI for most organizations. DevOps and SRE teams are under intense pressure to reduce MTTR when resolving incidents. Often parts of incident response processes are manual, bringing together alerts, runbooks, ad-hoc scripts, and people to form a response.
In this webinar, we will show you how to improve resolution time by configuring InfluxDB notification endpoints to PagerDuty and triggering auto-remediations with Rundeck. Using Rundeck’s automated runbooks, customers have experienced up to 50% reduction in incident response time, greatly improving team productivity and reducing unnecessary outage time.
Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...InfluxData
Data from sensors and systems flows in from a myriad of sources in industrial settings. In this session, learn how to combine the power of InfluxDB with IoT tools and cloud resources from AWS to extract the most value out of your IoT data. We’ll also be sharing some real-world examples of how customers are using these combined solutions to gain a competitive edge.
Martin Moucka [Red Hat] | How Red Hat Uses gNMI, Telegraf and InfluxDB to Gai...InfluxData
Red Hat is the provider of enterprise open source solutions. Its portfolio of products includes hybrid cloud infrastructure, middleware, cloud-native apps and automation solutions. Its internal network supports all lines of business — including 60+ sites. Discover how Red Hat uses InfluxDB and Flux for better real-time monitoring of their networks to improve performance and to understand utilization better.
Tim Hall and Ryan Betts [InfluxData] | InfluxDB Roadmap and Engineering Updat...InfluxData
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.
KUDO - Kubernetes Operators, the easy wayNick Jones
Kubernetes Operators are the next phase of the journey towards automating complex applications in containers. Many Operators that exist today handle initial deployment, but they don’t provide automation for tasks like binary upgrades, configuration updates, and failure recovery. Implementing a production-grade controller for a complex workload typically requires thousands of lines of code and many months of development. As a result, the quality of operators that are available today varies. The goal of KUDO is to help solve some of these problems by providing a comprehensive toolkit for building Kubernetes operators declaratively using YAML, with a focus on distributed stateful applications.
Three Ways InfluxDB Enables You to Use Time Series Data Across Your Entire En...InfluxData
The more your team can collaborate around data, the more useful that data is. This is especially true for time-series data that is increasingly the heartbeat of your business. When your entire team can utilize time series data, they know the pulse of your devices, your equipment, your customers, and your software -- and can act accordingly.
In this webinar, product manager Russ Savage will show you three new ways for your team to collaborate around time-series data.
First, InfluxDB Notebooks let you create and share computational narratives that combine live code, visualizations, and explanatory notes, which can output to your InfluxDB Dashboards, Tasks, and Buckets. You can use Notebooks to better document your downsampling, data processing, incident investigations, postmortems, and runbooks.
Next, InfluxDB Annotations let you explain the why behind time series data trends. Annotations can be used to communicate how time series data is impacted by changes to software deployments (like configurations, upgrades, or outages), user behavior (Cyber Monday, deadlines), business activities (ad campaign, sales incentives), or external events (natural disasters, weather). With team members sharing contextual clues, you’ll more quickly determine root cause and restore services faster.
Finally, learn how to apply gitops practices to managing InfluxDB configurations, dashboards, tasks, and alerts, as well as Telegraf configurations, ensuring better collaboration workflows between developers, SREs, and every stakeholder involved in time series collection, enrichment, and analysis.
Enterprise DevOps Series: Using VS Code & ZoweDevOps.com
Imagine onboarding a next-generation developer with no mainframe experience who successfully debugs COBOL code on their first day. By equipping them with mainframe-specific extensions to common tools like Visual Studio Code combined with the Zowe framework, new talent can be productive immediately - all without disrupting colleagues using traditional tools.
Join this session to learn how mainframe application development is merging with enterprise IT toolchains and processes, including CI/CD pipelines. The presentation will include a demonstration of a mainframe developer cockpit designed for productivity and ready for shift-left automation. Make “Day 1 Debug” a reality.
Webinar: Capabilities, Confidence and Community – What Flux GA Means for YouWeaveworks
Flux, the original GitOps project, began its development in a small London office back in 2017 with the goal to bring continuous delivery (CD) to developers, platform and cluster operators working with Kubernetes. From donating the project to the CNCF, its continued growth within the cloud native community, to its achievement of passing rigorous battle tests for security, longevity and governance, it’s little wonder that Flux v2 has reached yet another celebratory milestone – General Availability (GA).
Flux is the GitOps platform of choice for many enterprise companies such as SAP, Volvo Cars, and Axel Springer; and is embedded within AKS, Azure Arc and EKS Anywhere. It provides extensive automation to CI/CD, security and audit trails, and reliability through canary deployments and rollback capabilities.
Join this webinar by Flux maintainers and creators and discover:
* Latest release features and roadmap for the future.
* Interesting use cases for Flux (e.g security).
* Flux capabilities you may not be aware of (e.g. extensions).
* Joining the vibrant Flux community.
* How to leverage Flux in a supported enterprise environment today.
stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...NETWAYS
Serverless is one of the hottest design patterns in the cloud today, i’ll cover how the Serverless paradigms are changing the way we develop applications and the cloud infrastructures and how to implement Serveless-kind workloads with Kubernetes.
We’ll go through the latest Kubernetes-based serverless technologies, covering the most important aspects including pricing, scalability, observability and best practices
Vasilis Papavasiliou [Mist.io] | Integrating Telegraf, InfluxDB and Mist to M...InfluxData
Mist is an open source multicloud management platform. Mist.io's goal is to make multicloud simple and offer a single interface from where you can manage everything. To help users make informed decisions about their infrastructure, Mist is integrating with Telegraf and InfluxDB for collecting and storing monitoring metrics. This is an evolution of a previous stack based on collectd and Graphite. This session will go over why Mist.io moved and the implementation details of its current stack. The session will also analyze the challenges faced and the solutions built. This session is a follow-up to the webinar presentation at https://www.influxdata.com/resources/how-to-gain-visibility-into-containers-vms-and-multi-cloud-environments-using-telegraf-influxdb-and-mist/ which focuses more on the technical details.
GCP Meetup #3 - Approaches to Cloud Native Architecturesnine
Talk by Daniel Leahy and Nic Gibson, given at the Google Cloud Meetup on March 3, 2020, hosted by Nine Internet Solutions AG - Your Swiss Managed Cloud Service Provider.
Building Event-Driven Workflows with Knative and TektonLeon Stigter
As Kubernetes and micro-services have gained widespread adoption in the enterprise developer community, event-driven architectures have become the standard way to build and deploy new applications. Knative and Tekton are two Kubernetes-native technologies that make it easier than ever for developers to get started: Knative as a platform to build event-driven applications and Tekton to continuously deploy them. In this workshop you will get hands-on with Knative and Tekton to:
Set up a Kubernetes cluster using KinD
Deploy Knative, Octant, and Tekton and configure those services to work with your new cluster
Deploy services using both Knative serving and eventing
Build event-driven pipelines to deploy your services using Tekton
Speed & Agility of Innovation with Docker & KubernetesICS
Docker and Kubernetes pave the way for running federated, scalable and redundant systems on the Cloud and on the Edge with the same technology. In this introductory webinar we will go over the history, fundamentals and usage of Docker and Kubernetes and present key takeaways for CTOs and developers. We'll also cover the key benefits of using this technology in both the development and deployment of Qt applications.
We'll discuss:
Short history Docker and Kubernetes
Why are containers suddenly so popular?
The benefits of using Docker with Qt applications
Kubernetes for the Cloud and for the Edge
Moving to containers and Kubernetes: How and Why
[API World 2021 ] - Understanding Cloud Native DeploymentWSO2
Microservices and APIs built for digital transformation products require agile, reliable, and scalable cloud native infrastructure to truly meet customer expectations for a great "always there" user experience. Whether deployed on-premises or hosted in a public cloud, understanding and leveraging the right approach is key to success. This session takes up where the development process leaves off, tracking the standardization of containers and container orchestration for automated deployment, including current and future platform trends WSO2 and others are following.
Managing Infrastructure as a Product - Introduction to Platform EngineeringAdityo Pratomo
This is an introduction to platform engineering, the bridge that truly fulfills DevOps potential inside a mid-large scale organization. Sure, it's all the rage these days, but I'd argue to completely develop a platform, a product thinking mindset is also required.
This talk was presented in Kubernetes Day Indonesia 2022
Altinity Webinar: Introduction to Altinity.Cloud-Platform for Real-Time Data.pdfAltinity Ltd
Altinity Webinar: Introduction to Altinity.Cloud-Platform for Real-Time Data - Presentation Slides
Altinity.Cloud is a fully automated cloud service for ClickHouse that is optimized for real-time analytics.
In this webinar, we’ll explain how Altinity.Cloud works, then show how to set up your first ClickHouse cluster. We’ll then tour important features like scale-up, scale-out, uptime schedules, and DBA tools to analyze your tables.
You’ll learn everything necessary to start working on real-time analytics today.
Bring your questions!
Presenters: Robert Hodges & Alexander Zaitsev
Note: This webinar will be recorded and later posted on our Webinar page (https://altinity.com/webinarspage/) or Altinity official Youtube channel (https://www.youtube.com/@Altinity).
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 EcosystemInfluxData
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...InfluxData
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 InfluxDBInfluxData
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 InfluxData
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 StackInfluxData
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 RustInfluxData
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
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 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.
How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...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 Delft University's Engineering Students Make Their EV Formula-Style Race ...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
Introducing InfluxDB’s New Time Series Database Storage EngineInfluxData
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 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.
Understanding InfluxDB’s New Storage EngineInfluxData
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
Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDBInfluxData
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
Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...InfluxData
Customers using ThingWorx and the Manufacturing Solutions often need to store property data longer than the Solutions default to. These customers are recommended to use InfluxDB, and this presentation will cover the key considerations for moving to InfluxDB vs the standard ThingWorx value streams. Join this session as Ward highlights ThingWorx’s solution and its easy implementation process.
Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022InfluxData
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.