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
How to Create a Modern IIoT Monitoring Solution On iOS Using Swift, MQTT and ...InfluxData
MOXIE IoT uses industry standards and cutting-edge technology to create a monitoring solution which provides their manufacturing customers with a single source of truth. Their iOS iPad app equips their customers to visualize and analyze industrial factory data in real time. Discover how they use a time series database, MQTT and Ultra-Wideband to accurately measure and track any object, device, personnel or machinery.
In this webinar, Dr. Austin Gurley will dive into:
MOXIE’s approach to app-centric asset monitoring
Their ability to help customers streamline operations while bridging the gap between hardware and software
How a time series database improves customer experience by enabling them to query, filter and parse their data
Techniques for performing Flux queries in iOS Swift
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.
Gain Deep Visibility into APIs and Integrations with Anypoint MonitoringInfluxData
On average, a business supporting digital transactions now crosses 35 backend systems—and legacy tools haven’t been able to keep up. This session will cover how MuleSoft uses InfluxCloud to help power their monitoring and diagnostic solutions as well as provide end-to-end actionable visibility to APIs and integrations to help customers identify and resolve issues quickly.
Learn more about InfluxData’s time series platform. InfluxDB Cloud is a fast, elastic, serverless real-time monitoring platform, dashboarding engine, analytics service and event and metrics processor. It is available on AWS, Azure and Google Cloud. Since its launch, we have been busy making updates to the product!
Join Balaji Palani, Director of Product Management, as he demonstrates the the latest features of InfluxDB Cloud. This one-hour webinar will feature a product update and Q&A time.
How to Use Telegraf and Its Plugin EcosystemInfluxData
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
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
How to Create a Modern IIoT Monitoring Solution On iOS Using Swift, MQTT and ...InfluxData
MOXIE IoT uses industry standards and cutting-edge technology to create a monitoring solution which provides their manufacturing customers with a single source of truth. Their iOS iPad app equips their customers to visualize and analyze industrial factory data in real time. Discover how they use a time series database, MQTT and Ultra-Wideband to accurately measure and track any object, device, personnel or machinery.
In this webinar, Dr. Austin Gurley will dive into:
MOXIE’s approach to app-centric asset monitoring
Their ability to help customers streamline operations while bridging the gap between hardware and software
How a time series database improves customer experience by enabling them to query, filter and parse their data
Techniques for performing Flux queries in iOS Swift
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.
Gain Deep Visibility into APIs and Integrations with Anypoint MonitoringInfluxData
On average, a business supporting digital transactions now crosses 35 backend systems—and legacy tools haven’t been able to keep up. This session will cover how MuleSoft uses InfluxCloud to help power their monitoring and diagnostic solutions as well as provide end-to-end actionable visibility to APIs and integrations to help customers identify and resolve issues quickly.
Learn more about InfluxData’s time series platform. InfluxDB Cloud is a fast, elastic, serverless real-time monitoring platform, dashboarding engine, analytics service and event and metrics processor. It is available on AWS, Azure and Google Cloud. Since its launch, we have been busy making updates to the product!
Join Balaji Palani, Director of Product Management, as he demonstrates the the latest features of InfluxDB Cloud. This one-hour webinar will feature a product update and Q&A time.
How to Use Telegraf and Its Plugin EcosystemInfluxData
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
No matter what type of IoT devices you have, or what your use case is for them, you’re going to end up producing a lot of time series data. What you use to handle it is going to be as important to your success as the code you write yourself.
This talk will evaluate the available open source tools for the collection, activation, transmission and visualization of time series data on the IoT Edge, and demonstrate how to use them, together with InfluxDB, to solve various use cases for the Internet of Things.
COOL WAYS TO GET STARTED
Join us for a live InfluxDB training to learn how to easily ingest at scale in a matter of seconds to help you build powerful time series based applications. Join our 45-minute demos with experts who will showcase key InfluxDB features and answer questions live from the audience.
After attending this training, attendees will be able to:
Use sample data sets to try out various visualization options
Utilize the available data ingestion methods to construct a data pipeline to InfluxDB
Leverage Notebooks to collaborate with team members
Gain best practices for InfluxDB, Telegraf and Flux
Jacob Marble [InfluxData] | Observability with InfluxDB IOx and OpenTelemetry...InfluxData
This session shows how to record metrics, logs, and traces with one library — OpenTelemetry — and store them in one open source database — InfluxDB/IOx.
How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Usi...InfluxData
How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Using Telegraf, InfluxDB and Mist
Mist.io are the creators of Mist, the open source multi-cloud management platform. Their solution helps clients manage the complexities of using a mix of public and private clouds, hypervisors, containers and bare metals. Mist streamlines its customers’ operations and optimizes costs by improving DevOps practices. Discover how Mist achieves that by building on top of Telegraf and InfluxDB.
Join this webinar as Chris Psaltis and Dimitris Moraitis dive into:
Mist’s approach to improving visibility across environments
How a time series database is used to monitor infrastructures
Mist’s ability to automate processes and reduce infrastructure costs
Sam Dillard [InfluxData] | Performance Optimization in InfluxDB | InfluxDays...InfluxData
Like my past talks on this, I will give a rundown of the different levers one can pull to make InfluxDB perform better for one's use case. As I do each iteration of this, I have additional slides to add to this topic.
Most of the presentation focuses on write procedure as that is what defines schema and, ultimately, how queries will work against the DB.
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!
How EnerKey Using InfluxDB Saves Customers Millions by Detecting Energy Usage...InfluxData
In this presentation, Martti Kontula discusses EnerKey’s strategy for reducing energy consumption, how using a time series database enhances EnerKey’s competitive advantage, and their approach to using machine learning to help their customers forecast and optimize operations.
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
How to Enable Industrial Decarbonization with Node-RED and InfluxDBInfluxData
Graphite Energy’s thermal energy storage (TES) platform encourages clients to offset their traditional energy consumption with low-cost renewable energy sources. Their customers include manufacturers, mines, steelmakers and aluminum plants. IIoT data is collected about energy usage, fuel consumption, temperatures, solar panels, wind farms, process steam and air dryers. Discover how Graphite Energy uses InfluxDB to monitor their zero-emission energy solution.
In this webinar, Byron Ross will dive into:
Graphite Energy’s approach to reducing their clients’ carbon footprint
Their methodology to collecting sensor data used to make their operations more green
Why they chose a time series database over a data historian
Monitor Kubernetes in Rancher using InfluxDataInfluxData
Containers make software development easier, enabling you to write code faster and run it better. However, running containers in production can be hard.
Rancher includes everything you need to manage containers in production—you no longer need to build container management platforms from scratch using multiple open source technologies. Infrastructure services management and the overlay networking, storage, and load balancing capabilities provide the basis for portability across infrastructure providers.
In this webinar, William Jiminez, Solutions Architect at Rancher Labs, and Gunnar Aasen, Partner Engineering, provide an introduction to Rancher and InfluxData. From there, they will show you how to use the two together to setup and monitor your containers and microservices to properly manage your infrastructure and track key metrics (CPU, RAM, storage, network utilization), as well as the availability of your application endpoints.
How a Time Series Database Contributes to a Decentralized Cloud Object Storag...InfluxData
In this presentation, you'll learn how InfluxDB is a component to Storj’s Tardigrade service and workflows. John Gleeson and Ben Sirb of Storj Lab will Storj’s redefinition of a cloud object storage network, how InfluxData fits into Storj’s Open Source Partner Program, and how to collect and manage high-volume, real-time telemetry data from a distributed network.
InfluxData Architecture for IoT | Noah Crowley | InfluxDataInfluxData
Noah will walk you through a typical data architecture for an IoT deployment: from sensor to edge to cloud. Then, it will be a hands-on demo to gather data from the device, display it on a dashboard and trigger alerts.
How to Store and Visualize CAN Bus Telematic Data with InfluxDB Cloud and Gra...InfluxData
CSS Electronics develop & manufacture professional-grade, simple-to-use CAN bus data loggers. Their plug-and-play CANedge2 logger records time-stamped raw CAN data to an extractable industrial SD card — and connects via WiFi/3G/4G access points to upload the data to the end user’s own servers. The CANedge2 is ideal for collecting automotive sensor metrics like speed, temperatures, state of charge, GPS and more. Learn how to create your own telematics dashboard built on InfluxDB in minutes by attending this webinar!
Join us as Martin Falch dives into:
CSS Electronics’ approach to improving R&D field testing, diagnostics, fleet management and predictive maintenance
The CANedge’s methodology for collecting IIoT data from cars, trucks and machines
How they process time series data from S3 via Python to store it in InfluxDB and visualize it with Grafana
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.
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.
Taming the Tiger: Tips and Tricks for Using TelegrafInfluxData
On 17th May as part of InfluxDays EMEA 2021 Virtual Experience, the Technical Services team will be offering a free live InfluxDB training to the first 300 registered attendees. This will be hosted over Zoom with two main trainers and there will be assistants to help participants with the course work. The training will be recorded and made available on the InfluxDays website and the InfluxData YouTube channel.
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.
Best Practices for Scaling an InfluxEnterprise ClusterInfluxData
Dennis Brazil is the Sr. Manager, SRE Monitoring Ingest/Collectors & Alerting Platforms at PayPal. He has over 30 years of experience in building high performing professional teams with disciplines in Windows, Linux, Unix, MySQL, VMWare, F5 Big-IP & Citrix Netscaler Load Balancers. With these teams, they have been able to build monitoring solutions that allow them to improve Paypal’s operational efficiencies while mitigating incidents involving multiple teams.
InfluxEnterprise Architectural Patterns by Dean Sheehan, Senior Director, Pre...InfluxData
Dean discusses architecture patterns with InfluxDB Enterprise, covering an overview of InfluxDB Enterprise, features, ingestion and query rates, deployment examples, replication patterns, and general advice.
Flux QL - Nexgen Management of Time Series Inspired by JSIvo Andreev
The time series landscape evolves fast to meet the aggressive challenges in IoT. Influx 2.0 Beta was released in the first days of 2020 and although being already Top 1 time series database it introduces a revolutionary change again. InfluxDB 2 is now generally available and its key features are originate from Flux - a functional and open source 4th generation analytical programming language inspired by JavaScript. Supported in VS Code it takes a new approach towards data exploration of time series data and enables some unmatched capabilities like enrichment and filtering of time series data with external data from RDBMS.
No matter what type of IoT devices you have, or what your use case is for them, you’re going to end up producing a lot of time series data. What you use to handle it is going to be as important to your success as the code you write yourself.
This talk will evaluate the available open source tools for the collection, activation, transmission and visualization of time series data on the IoT Edge, and demonstrate how to use them, together with InfluxDB, to solve various use cases for the Internet of Things.
COOL WAYS TO GET STARTED
Join us for a live InfluxDB training to learn how to easily ingest at scale in a matter of seconds to help you build powerful time series based applications. Join our 45-minute demos with experts who will showcase key InfluxDB features and answer questions live from the audience.
After attending this training, attendees will be able to:
Use sample data sets to try out various visualization options
Utilize the available data ingestion methods to construct a data pipeline to InfluxDB
Leverage Notebooks to collaborate with team members
Gain best practices for InfluxDB, Telegraf and Flux
Jacob Marble [InfluxData] | Observability with InfluxDB IOx and OpenTelemetry...InfluxData
This session shows how to record metrics, logs, and traces with one library — OpenTelemetry — and store them in one open source database — InfluxDB/IOx.
How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Usi...InfluxData
How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Using Telegraf, InfluxDB and Mist
Mist.io are the creators of Mist, the open source multi-cloud management platform. Their solution helps clients manage the complexities of using a mix of public and private clouds, hypervisors, containers and bare metals. Mist streamlines its customers’ operations and optimizes costs by improving DevOps practices. Discover how Mist achieves that by building on top of Telegraf and InfluxDB.
Join this webinar as Chris Psaltis and Dimitris Moraitis dive into:
Mist’s approach to improving visibility across environments
How a time series database is used to monitor infrastructures
Mist’s ability to automate processes and reduce infrastructure costs
Sam Dillard [InfluxData] | Performance Optimization in InfluxDB | InfluxDays...InfluxData
Like my past talks on this, I will give a rundown of the different levers one can pull to make InfluxDB perform better for one's use case. As I do each iteration of this, I have additional slides to add to this topic.
Most of the presentation focuses on write procedure as that is what defines schema and, ultimately, how queries will work against the DB.
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!
How EnerKey Using InfluxDB Saves Customers Millions by Detecting Energy Usage...InfluxData
In this presentation, Martti Kontula discusses EnerKey’s strategy for reducing energy consumption, how using a time series database enhances EnerKey’s competitive advantage, and their approach to using machine learning to help their customers forecast and optimize operations.
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
How to Enable Industrial Decarbonization with Node-RED and InfluxDBInfluxData
Graphite Energy’s thermal energy storage (TES) platform encourages clients to offset their traditional energy consumption with low-cost renewable energy sources. Their customers include manufacturers, mines, steelmakers and aluminum plants. IIoT data is collected about energy usage, fuel consumption, temperatures, solar panels, wind farms, process steam and air dryers. Discover how Graphite Energy uses InfluxDB to monitor their zero-emission energy solution.
In this webinar, Byron Ross will dive into:
Graphite Energy’s approach to reducing their clients’ carbon footprint
Their methodology to collecting sensor data used to make their operations more green
Why they chose a time series database over a data historian
Monitor Kubernetes in Rancher using InfluxDataInfluxData
Containers make software development easier, enabling you to write code faster and run it better. However, running containers in production can be hard.
Rancher includes everything you need to manage containers in production—you no longer need to build container management platforms from scratch using multiple open source technologies. Infrastructure services management and the overlay networking, storage, and load balancing capabilities provide the basis for portability across infrastructure providers.
In this webinar, William Jiminez, Solutions Architect at Rancher Labs, and Gunnar Aasen, Partner Engineering, provide an introduction to Rancher and InfluxData. From there, they will show you how to use the two together to setup and monitor your containers and microservices to properly manage your infrastructure and track key metrics (CPU, RAM, storage, network utilization), as well as the availability of your application endpoints.
How a Time Series Database Contributes to a Decentralized Cloud Object Storag...InfluxData
In this presentation, you'll learn how InfluxDB is a component to Storj’s Tardigrade service and workflows. John Gleeson and Ben Sirb of Storj Lab will Storj’s redefinition of a cloud object storage network, how InfluxData fits into Storj’s Open Source Partner Program, and how to collect and manage high-volume, real-time telemetry data from a distributed network.
InfluxData Architecture for IoT | Noah Crowley | InfluxDataInfluxData
Noah will walk you through a typical data architecture for an IoT deployment: from sensor to edge to cloud. Then, it will be a hands-on demo to gather data from the device, display it on a dashboard and trigger alerts.
How to Store and Visualize CAN Bus Telematic Data with InfluxDB Cloud and Gra...InfluxData
CSS Electronics develop & manufacture professional-grade, simple-to-use CAN bus data loggers. Their plug-and-play CANedge2 logger records time-stamped raw CAN data to an extractable industrial SD card — and connects via WiFi/3G/4G access points to upload the data to the end user’s own servers. The CANedge2 is ideal for collecting automotive sensor metrics like speed, temperatures, state of charge, GPS and more. Learn how to create your own telematics dashboard built on InfluxDB in minutes by attending this webinar!
Join us as Martin Falch dives into:
CSS Electronics’ approach to improving R&D field testing, diagnostics, fleet management and predictive maintenance
The CANedge’s methodology for collecting IIoT data from cars, trucks and machines
How they process time series data from S3 via Python to store it in InfluxDB and visualize it with Grafana
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.
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.
Taming the Tiger: Tips and Tricks for Using TelegrafInfluxData
On 17th May as part of InfluxDays EMEA 2021 Virtual Experience, the Technical Services team will be offering a free live InfluxDB training to the first 300 registered attendees. This will be hosted over Zoom with two main trainers and there will be assistants to help participants with the course work. The training will be recorded and made available on the InfluxDays website and the InfluxData YouTube channel.
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.
Best Practices for Scaling an InfluxEnterprise ClusterInfluxData
Dennis Brazil is the Sr. Manager, SRE Monitoring Ingest/Collectors & Alerting Platforms at PayPal. He has over 30 years of experience in building high performing professional teams with disciplines in Windows, Linux, Unix, MySQL, VMWare, F5 Big-IP & Citrix Netscaler Load Balancers. With these teams, they have been able to build monitoring solutions that allow them to improve Paypal’s operational efficiencies while mitigating incidents involving multiple teams.
InfluxEnterprise Architectural Patterns by Dean Sheehan, Senior Director, Pre...InfluxData
Dean discusses architecture patterns with InfluxDB Enterprise, covering an overview of InfluxDB Enterprise, features, ingestion and query rates, deployment examples, replication patterns, and general advice.
Flux QL - Nexgen Management of Time Series Inspired by JSIvo Andreev
The time series landscape evolves fast to meet the aggressive challenges in IoT. Influx 2.0 Beta was released in the first days of 2020 and although being already Top 1 time series database it introduces a revolutionary change again. InfluxDB 2 is now generally available and its key features are originate from Flux - a functional and open source 4th generation analytical programming language inspired by JavaScript. Supported in VS Code it takes a new approach towards data exploration of time series data and enables some unmatched capabilities like enrichment and filtering of time series data with external data from RDBMS.
Stream processing IoT time series data with Kafka & InfluxDB | Al Sargent, In...HostedbyConfluent
Time series data is everywhere -- connected IoT devices, application monitoring & observability platforms, and more. What makes time series datastreams challenging is that they often have orders of magnitude more data than other workloads, with millions of time series datapoints being quite common. Given its ability to ingest high volumes of data, Kafka is a natural part of any data architecture handling large volumes of time series telemetry, specifically as an intermediate buffer before that data is persisted in InfluxDB for processing, analysis, and use in other applications. In this session, we will show you how you can stream time series data to your IoT application using Kafka queues and InfluxDB, drawing upon deployments done at Hulu and Wayfair that allow both to ingest 1 million metrics per second. Once this session is complete, you’ll be able to connect a Kafka queue to an InfluxDB instance as the beginning of your own time series data pipeline.
Safer Commutes & Streaming Data | George Padavick, Ohio Department of Transpo...HostedbyConfluent
The Ohio Department of Transportation has adopted Confluent as the event driven enabler of DriveOhio, a modern Intelligent Transportation System. DriveOhio digitally links sensors, cameras, speed monitoring equipment, and smart highway assets in real time, to dynamically adjust the surface road network to maximize the safety and efficiency for travelers. Over the past 24 months the team has increased the number and types of devices within the DriveOhio environment, while also working to see their vendors adopt Kafka to better participate in data sharing.
Stephane Lapointe, Frank Boucher & Alexandre Brisebois: Les micro-services et...MSDEVMTL
16 Avril 2016
Groupe Azure
Sujet: Les micro-services et Azure Service Fabric
Conférenciers: Alexandre Brisebois, Microsoft, Stéphane Lapointe, Orckestra et Frank Boucher, Lixar IT
Nous vous proposons une journée complète sur les micro-services et Azure Service Fabric, le but étant d'appendre la théorie avec une série de présentations pour ensuite concrétiser le tout avec une partie pratique "hands-on" et des labs.
Pour participer, vous devrez obligatoirement apporter votre ordinateur portable, avoir installé Visual Studio 2015 Update 2 et Service Fabric SDK 2.0.135.
OpenSource API Server based on Node.js API framework built on supported Node.js platform with Tooling and DevOps. Use cases are Omni-channel API Server, Mobile Backend as a Service (mBaaS) or Next Generation Enterprise Service Bus. Key functionality include built in enterprise connectors, ORM, Offline Sync, Mobile and JS SDKs, Isomorphic JavaScript and Graphical API creation tool.
Cisco Virtualized Multi-tenant Data Center solution (VMDC) is an architectural approach to IT which delivers a Cloud Ready Infrastructure. The architecture encompasses multiple systems and functions defining a standard framework for an IT organization. Standardization allows the organization to achieve operational efficiencies, reduce risk and achieve cost reductions while offering a consistent platform for business.
The presentation will provide a brief overview of Tungsten Fabric, and the new features in the recent 5.0 release. A demo of Tungsten Fabric will follow, with an overview of core functionality, and newly released features.
Speaker: Nick Davey, Cloud - SDN Product Manager
Enabling Microservices Frameworks to Solve Business ProblemsKen Owens
Opening keynote at Mesoscon 2015 with announcements on creating an ecosystem for developing solutions to business problems leveraging Mesos, Mantl.io, Mesosphere Infinity, ZoomData, and Project Calico to create Fog nodes for IoE use cases.
Discover How Volvo Cars Uses a Time Series Database to Become Data-DrivenDevOps.com
Volvo Cars uses InfluxDB to improve operations by empowering its developers. Self-service monitoring tools have enabled the company’s teams to become more agile and collaborative while ultimately improving product development lifecycle and incident management. Join this webinar to learn how Volvo Cars uses a time series database to become data-driven and accelerate innovation.
DEVNET-1140 InterCloud Mapreduce and Spark Workload Migration and Sharing: Fi...Cisco DevNet
Data gravity is a reality when dealing with massive amounts and globally distributed systems. Processing this data requires distributed analytics processing across InterCloud. In this presentation we will share our real world experience with storing, routing, and processing big data workloads on Cisco Cloud Services and Amazon Web Services clouds.
SingleStore & Kafka: Better Together to Power Modern Real-Time Data Architect...HostedbyConfluent
To remain competitive, organizations need to democratize access to fast analytics, not only to gain real-time insights on their business but also to power smart apps that need to react in the moment. In this session, you will learn how Kafka and SingleStore enable modern, yet simple data architecture to analyze both fast paced incoming data as well as large historical datasets. In particular, you will understand why SingleStore is well suited process data streams coming from Kafka.
LISA18: Hidden Linux Metrics with Prometheus eBPF ExporterIvan Babrou
Presented at LISA18: https://www.usenix.org/conference/lisa18/presentation/huynh
While there are plenty of readily available metrics for monitoring Linux kernel, many gems remain hidden. With the help of recent developments in eBPF, it is now possible to run safe programs in the kernel to collect arbitrary information with little to no overhead. A few examples include:
* Disk latency and io size histograms
* Run queue (scheduler) latency
* Page cache efficiency
* Directory cache efficiency
* LLC (aka L3 cache) efficiency
* Kernel timer counters
* System-wide TCP retransmits
Practically any event from "perf list" output and any kernel function can be traced, analyzed and turned into a Prometheus metric with almost arbitrary labels attached to it.
If you are already familiar with BCC tools, you may think if ebpf_exporter as bcc tools turned into prometheus metrics.
In this tutorial we’ll go over eBPF basics, how to write programs and get insights into a running system.
Docker and Cloud - Enables for DevOps - by ACA-ITStijn Wijndaele
DevOps is gericht op het tot stand brengen van een cultuur binnen organisaties waardoor het ontwikkelen, valideren en releasen van software sneller, meer betrouwbaar en frequenter kan verlopen. Om dit te realiseren staan het automatiseren van het 'software delivery process' en de bijhorende infrastructurele veranderingen centraal. Door de opkomst van 'Microservice Architecture' neemt het belang hiervan nog verder toe.
Sprekers: Stijn Van den Enden & Stijn Wijndaele (ACA IT-Solutions) DevOps is gericht op het tot stand brengen van een cultuur binnen organisaties waardoor het ontwikkelen, valideren en releasen van software sneller, meer betrouwbaar en frequenter kan verlopen. Om dit te realiseren staan het automatiseren van het 'software delivery process' en de bijhorende infrastructurele veranderingen centraal. Door de opkomst van 'Microservice Architecture' neemt het belang hiervan nog verder toe.
In deze avondconferentie werd, na een korte toelichting over DevOps, nagegaan wat Docker en de Cloud kunnen betekenen voor uw business, en hoe zij als enablers kunnen dienen voor het tot stand brengen van een DevOps-cultuur. Het container-landschap waarvan tools zoals Kubernetes, Docker Swarm, ...een belangrijk onderdeel vormen, wordt toegelicht en er wordt ingegaan op de wijze waarop deze tools aangewend kunnen worden om 'development' en 'operations' efficiënt te laten samenwerken.
Using the FLaNK Stack for edge ai (flink, nifi, kafka, kudu)Timothy Spann
Using the FLaNK Stack for edge ai (flink, nifi, kafka, kudu)
ntroducing the FLaNK stack which combines Apache Flink, Apache NiFi, Apache Kafka and Apache Kudu to build fast applications for IoT, AI, rapid ingest.
FLaNK provides a quick set of tools to build applications at any scale for any streaming and IoT use cases.
https://www.flankstack.dev/
Tools
Apache Flink, Apache Kafka, Apache NiFi, MiNiFi, Apache MXNet, Apache Kudu, Apache Impala, Apache HDFS
References
https://www.datainmotion.dev/2019/08/rapid-iot-development-with-cloudera.html
https://www.datainmotion.dev/2019/09/powering-edge-ai-for-sensor-reading.html
https://www.datainmotion.dev/2019/05/dataworks-summit-dc-2019-report.html
https://www.datainmotion.dev/2019/03/using-raspberry-pi-3b-with-apache-nifi.html
Track
Community and Industry Impact
The Cisco Open SDN Controller is a commercial distribution of OpenDaylight that delivers business agility through automation of standards-based network infrastructure.
Built as a highly scalable software-defined networking (SDN) platform, the Open SDN Controller abstracts away the complexity of managing heterogeneous networks to improve service delivery and reduce operating costs.
The controller exposes REST APIs to allow other applications to take advantage capabilities of the controller and unlock the power of the underlying network infrastructure, and JAVA APIs to allow for the creation of new network services.
This session will present the basic constructs of the controller and the capabilities of the REST and JAVA APIs to demonstrate how the Open SDN Controller abstracts away the complexity of managing heterogeneous networks to improve service delivery and reduce operating costs.
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.
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
20. • Google GEO Library
• Using Hilbert Curves
o Spatial indexing supported
o 64-bit representation
o 100x faster
• C++, Java, Go, Python libraries
• Hash - hexadecimal number -> string
• Calculator
Flux Geo-temporal Queries
Precision Geohash Area coverage Series
0 4 7842 km x 7842 km 6
1 47 3921 km x 5004 km 24
2 474 1825 km x 2489 km 96
3 471 840 km x 1167 km 384
4 470c 432 km x 609 km 1,536
...
30 470bec9445815d8d 6 mm × 9 mm 7e18
Level 5
curve