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
Beautiful Monitoring With Grafana and InfluxDBleesjensen
Query your data streams with the time series database InfluxDB and then visualize the results with stunning Grafana dashboards. Quick and easy to set up. Fully scalable to millions of metrics per second.
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
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.
CI:CD in Lightspeed with kubernetes and argo cdBilly Yuen
Enterprises have benefited greatly from the elastic scalability and multi-region availability by moving to AWS, but the fundamental deployment model remains the same.
At Intuit, we have adopted k8s as our new saas platform and re-invented our CI/CD pipeline to take full advantage of k8s. In this presentation, we will discuss our journey from Spinnaker to Argo CD.
1. Reduce CI/CD time from 60 minutes to 10 minutes.
2. Reduce production release (or rollback) from 10 minutes to 2 minutes.
3. Enable concurrent deployment using spinnaker and argo cd as HA/DR to safely adopt the new platform with no downtime.
4. Be compatible with the existing application monitoring toolset.
How Gotion Monitors its EV Battery Solution with InfluxDB, Grafana and AWSInfluxData
Meet Gotion — a leading EV battery and battery management system. Car manufacturers use Gotion’s platform to extract sensor data from electric car batteries, which is used to enable predictive maintenance and provide a better customer experience. Hear how they use a time series database to collect and cleanse their data to find outliers. By analyzing time-stamped data, they determine if the anomalies are cause for concern or if they can be ignored and scrubbed.
Join this InfluxData webinar as Tony Li dives into:
Gotion’s approach to IIoT monitoring (battery life, health, temperate and voltage)
Their ability to provide better forecasting and machine learning models
How InfluxDB and Python are used to extract data from batteries, cars, testing facilities, manufacturing plants and simulation centers
Beautiful Monitoring With Grafana and InfluxDBleesjensen
Query your data streams with the time series database InfluxDB and then visualize the results with stunning Grafana dashboards. Quick and easy to set up. Fully scalable to millions of metrics per second.
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
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.
CI:CD in Lightspeed with kubernetes and argo cdBilly Yuen
Enterprises have benefited greatly from the elastic scalability and multi-region availability by moving to AWS, but the fundamental deployment model remains the same.
At Intuit, we have adopted k8s as our new saas platform and re-invented our CI/CD pipeline to take full advantage of k8s. In this presentation, we will discuss our journey from Spinnaker to Argo CD.
1. Reduce CI/CD time from 60 minutes to 10 minutes.
2. Reduce production release (or rollback) from 10 minutes to 2 minutes.
3. Enable concurrent deployment using spinnaker and argo cd as HA/DR to safely adopt the new platform with no downtime.
4. Be compatible with the existing application monitoring toolset.
How Gotion Monitors its EV Battery Solution with InfluxDB, Grafana and AWSInfluxData
Meet Gotion — a leading EV battery and battery management system. Car manufacturers use Gotion’s platform to extract sensor data from electric car batteries, which is used to enable predictive maintenance and provide a better customer experience. Hear how they use a time series database to collect and cleanse their data to find outliers. By analyzing time-stamped data, they determine if the anomalies are cause for concern or if they can be ignored and scrubbed.
Join this InfluxData webinar as Tony Li dives into:
Gotion’s approach to IIoT monitoring (battery life, health, temperate and voltage)
Their ability to provide better forecasting and machine learning models
How InfluxDB and Python are used to extract data from batteries, cars, testing facilities, manufacturing plants and simulation centers
Reduce SRE Stress: Minimizing Service Downtime with Grafana, InfluxDB and Tel...InfluxData
NetApp is a global cloud-led, data-centric software company. They are an industry leader in hybrid cloud data services and data management solutions. Their platform enables their customers to store and share large quantities of digital data across physical and hybrid cloud environments. NetApp Engineering’s Site Reliability Engineering team is tasked with supporting their internal build environment, test, and automation infrastructure. After collecting their time-stamped data in InfluxDB, they are using Kapacitor to push alerts directly to Slack via webhooks. Their globally distributed SRE team are able to seamlessly collaborate and troubleshoot. Discover how NetApp uses a time series platform to detect trends in real time that can result in failures within their environments, and to provide key metrics used in SRE postmortems.
Join this webinar as Dustin Sorge will dive into:
NetApp's approach to monitoring their SRE team's metrics — including SLO's and SLI's
Their best practices and techniques for monitoring memory usage and CPU usage
How they use InfluxDB and Telegraf to detect trends and coordinate fixes faster.
Designing a complete ci cd pipeline using argo events, workflow and cd productsJulian Mazzitelli
https://www.youtube.com/watch?v=YmIAatr3Who
Presented at Cloud and AI DevFest GDG Montreal on September 27, 2019.
Are you looking to get more flexibility out of your CICD platform? Interested how GitOps fits into the mix? Learn how Argo CD, Workflows, and Events can be combined to craft custom CICD flows. All while staying Kubernetes native, enabling you to leverage existing observability tooling.
Building and Evolving a Dependency-Graph Based Microservice Architecture (La...confluent
With the rising adoption of stream- and event-driven processing microservice architectures are becoming more and more complex. One challenge that many businesses face during the initial and ongoign development of these solutions is how to properly model and maintain dependencies between microservices. One specific example for this that will be used throughout this talk cleansing and enrichment of data that has been ingested into a streaming platform. For most use cases there are a lot of minor tasks that need to be performed on every piece of data before it is fully usable for processing. Some common examples are: normalize phone numbers, normalize street addresses, geocode addresses, lookup customer data and enrich record, ... Most of these tasks are completely independent of each other, but some have dependencies to be run before or after other tasks - geocoding, for example, should be done only after address normalization has finished. Defining and orchestrating a complex graph of these operations is no small feat. This talk will focus on outlining the requirements and challenges that one needs to solve when trying to implement a flexible framework for solving this use case. It will then build on these requirements and present the blueprint of a generic solution and show how Kafka and Kafka Streams are a perfect fit to address and overcome most challenges. This talk, while offering some technical details is mostly targeted at people at the architecture, rather than the code, level. Listeners will gain a thorough understanding of the challenges that stream processing offers but also be provided with generic patterns that can be used to solve these challenges in their specific infrastructure.
Installation of Grafana on linux ; connectivity with Prometheus database , installation of Prometheus ; Installation of node_exporter ,Tomcat-exporter ; installation and configuration of alert manager .. Detailed step by step installation and working
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
Combining logs, metrics, and traces for unified observabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Migrating from Self-Managed Kubernetes on EC2 to a GitOps Enabled EKSWeaveworks
Did your company start down the path of building a cloud native platform using Kubernetes with the goal of enabling developers to innovate faster and increase productivity, but then run into challenges keeping it operating in an optimal way?
In this session, Weaveworks will discuss how to migrate from self-managed Kubernetes on EC2 to a GitOps managed Shared Services Platform (SSP) on EKS. A SSP built on EKS and managed with Weave GitOps provides developers and operators with common workflows to update both applications and infrastructure. With every change in version control, full audit trails are available, and security is enforced. While at the same time enabling easier rollbacks and faster mean-time-to-recovery (MTTR). In short, a Weave GitOps managed SSP increases developer velocity while boosting stability.
How to operate a hybrid Kubernetes architecture, using managed EKS in the AWS Cloud and EKS-Distro on premises.
How to structure your infrastructure repository to efficiently manage multiple teams.
How to use Kubernetes RBAC to provide secure cluster multi-tenancy.
How to use GitOps to promote releases across a hybrid set of independent clusters.
How to accomplish data and operational sovereignty.
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!
1. Overview of DevOps
2. Infrastructure as Code (IaC) and Configuration as code
3. Identity and Security protection in CI CD environment
4. Monitor Health of the Infrastructure/Application
5. Open Source Software (OSS) and third-party tools, such as Chef, Puppet, Ansible, and Terraform to achieve DevOps.
6. Future of DevOps Application
Service meshes are relatively new, extremely powerful and can be complex. There’s a lot of information out there on what a service mesh is and what it can do, but it’s a lot to sort through. Sometimes, it’s helpful to have a guide. If you’ve been asking questions like “What is a service mesh?” “Why would I use one?” “What benefits can it provide?” or “How did people even come up with the idea for service mesh?” then The Complete Guide to Service Mesh is for you.
Learn why VSTS and Azure should be core components of your DevOps strategy. This presentation will be an excellent resource to discover key DevOps practices, for example, CI/CD pipeline automation and environment provisioning.
Building Cloud-Native App Series - Part 11 of 11
Microservices Architecture Series
Service Mesh - Observability
- Zipkin
- Prometheus
- Grafana
- Kiali
Prometheus - Intro, CNCF, TSDB,PromQL,GrafanaSridhar Kumar N
https://www.youtube.com/playlist?list=PLAiEy9H6ItrKC5PbH7KiELiSEIKv3tuov
-What is Prometheus?
-Difference Between Nagios vs Prometheus
-Architecture
-Alertmanager
-Time series DB
-PromQL (Prometheus Query Language)
-Live Demo
-Grafana
Stephan Ewen - Experiences running Flink at Very Large ScaleVerverica
This talk shares experiences from deploying and tuning Flink steam processing applications for very large scale. We share lessons learned from users, contributors, and our own experiments about running demanding streaming jobs at scale. The talk will explain what aspects currently render a job as particularly demanding, show how to configure and tune a large scale Flink job, and outline what the Flink community is working on to make the out-of-the-box for experience as smooth as possible. We will, for example, dive into - analyzing and tuning checkpointing - selecting and configuring state backends - understanding common bottlenecks - understanding and configuring network parameters
Quali's cloud sandboxes easily integrate with popular tools like Ansible, Jenkins & JFrog to automate the workflow, increase release velocity & enhance quality.
Reduce SRE Stress: Minimizing Service Downtime with Grafana, InfluxDB and Tel...InfluxData
NetApp is a global cloud-led, data-centric software company. They are an industry leader in hybrid cloud data services and data management solutions. Their platform enables their customers to store and share large quantities of digital data across physical and hybrid cloud environments. NetApp Engineering’s Site Reliability Engineering team is tasked with supporting their internal build environment, test, and automation infrastructure. After collecting their time-stamped data in InfluxDB, they are using Kapacitor to push alerts directly to Slack via webhooks. Their globally distributed SRE team are able to seamlessly collaborate and troubleshoot. Discover how NetApp uses a time series platform to detect trends in real time that can result in failures within their environments, and to provide key metrics used in SRE postmortems.
Join this webinar as Dustin Sorge will dive into:
NetApp's approach to monitoring their SRE team's metrics — including SLO's and SLI's
Their best practices and techniques for monitoring memory usage and CPU usage
How they use InfluxDB and Telegraf to detect trends and coordinate fixes faster.
Designing a complete ci cd pipeline using argo events, workflow and cd productsJulian Mazzitelli
https://www.youtube.com/watch?v=YmIAatr3Who
Presented at Cloud and AI DevFest GDG Montreal on September 27, 2019.
Are you looking to get more flexibility out of your CICD platform? Interested how GitOps fits into the mix? Learn how Argo CD, Workflows, and Events can be combined to craft custom CICD flows. All while staying Kubernetes native, enabling you to leverage existing observability tooling.
Building and Evolving a Dependency-Graph Based Microservice Architecture (La...confluent
With the rising adoption of stream- and event-driven processing microservice architectures are becoming more and more complex. One challenge that many businesses face during the initial and ongoign development of these solutions is how to properly model and maintain dependencies between microservices. One specific example for this that will be used throughout this talk cleansing and enrichment of data that has been ingested into a streaming platform. For most use cases there are a lot of minor tasks that need to be performed on every piece of data before it is fully usable for processing. Some common examples are: normalize phone numbers, normalize street addresses, geocode addresses, lookup customer data and enrich record, ... Most of these tasks are completely independent of each other, but some have dependencies to be run before or after other tasks - geocoding, for example, should be done only after address normalization has finished. Defining and orchestrating a complex graph of these operations is no small feat. This talk will focus on outlining the requirements and challenges that one needs to solve when trying to implement a flexible framework for solving this use case. It will then build on these requirements and present the blueprint of a generic solution and show how Kafka and Kafka Streams are a perfect fit to address and overcome most challenges. This talk, while offering some technical details is mostly targeted at people at the architecture, rather than the code, level. Listeners will gain a thorough understanding of the challenges that stream processing offers but also be provided with generic patterns that can be used to solve these challenges in their specific infrastructure.
Installation of Grafana on linux ; connectivity with Prometheus database , installation of Prometheus ; Installation of node_exporter ,Tomcat-exporter ; installation and configuration of alert manager .. Detailed step by step installation and working
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
Combining logs, metrics, and traces for unified observabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Migrating from Self-Managed Kubernetes on EC2 to a GitOps Enabled EKSWeaveworks
Did your company start down the path of building a cloud native platform using Kubernetes with the goal of enabling developers to innovate faster and increase productivity, but then run into challenges keeping it operating in an optimal way?
In this session, Weaveworks will discuss how to migrate from self-managed Kubernetes on EC2 to a GitOps managed Shared Services Platform (SSP) on EKS. A SSP built on EKS and managed with Weave GitOps provides developers and operators with common workflows to update both applications and infrastructure. With every change in version control, full audit trails are available, and security is enforced. While at the same time enabling easier rollbacks and faster mean-time-to-recovery (MTTR). In short, a Weave GitOps managed SSP increases developer velocity while boosting stability.
How to operate a hybrid Kubernetes architecture, using managed EKS in the AWS Cloud and EKS-Distro on premises.
How to structure your infrastructure repository to efficiently manage multiple teams.
How to use Kubernetes RBAC to provide secure cluster multi-tenancy.
How to use GitOps to promote releases across a hybrid set of independent clusters.
How to accomplish data and operational sovereignty.
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!
1. Overview of DevOps
2. Infrastructure as Code (IaC) and Configuration as code
3. Identity and Security protection in CI CD environment
4. Monitor Health of the Infrastructure/Application
5. Open Source Software (OSS) and third-party tools, such as Chef, Puppet, Ansible, and Terraform to achieve DevOps.
6. Future of DevOps Application
Service meshes are relatively new, extremely powerful and can be complex. There’s a lot of information out there on what a service mesh is and what it can do, but it’s a lot to sort through. Sometimes, it’s helpful to have a guide. If you’ve been asking questions like “What is a service mesh?” “Why would I use one?” “What benefits can it provide?” or “How did people even come up with the idea for service mesh?” then The Complete Guide to Service Mesh is for you.
Learn why VSTS and Azure should be core components of your DevOps strategy. This presentation will be an excellent resource to discover key DevOps practices, for example, CI/CD pipeline automation and environment provisioning.
Building Cloud-Native App Series - Part 11 of 11
Microservices Architecture Series
Service Mesh - Observability
- Zipkin
- Prometheus
- Grafana
- Kiali
Prometheus - Intro, CNCF, TSDB,PromQL,GrafanaSridhar Kumar N
https://www.youtube.com/playlist?list=PLAiEy9H6ItrKC5PbH7KiELiSEIKv3tuov
-What is Prometheus?
-Difference Between Nagios vs Prometheus
-Architecture
-Alertmanager
-Time series DB
-PromQL (Prometheus Query Language)
-Live Demo
-Grafana
Stephan Ewen - Experiences running Flink at Very Large ScaleVerverica
This talk shares experiences from deploying and tuning Flink steam processing applications for very large scale. We share lessons learned from users, contributors, and our own experiments about running demanding streaming jobs at scale. The talk will explain what aspects currently render a job as particularly demanding, show how to configure and tune a large scale Flink job, and outline what the Flink community is working on to make the out-of-the-box for experience as smooth as possible. We will, for example, dive into - analyzing and tuning checkpointing - selecting and configuring state backends - understanding common bottlenecks - understanding and configuring network parameters
Quali's cloud sandboxes easily integrate with popular tools like Ansible, Jenkins & JFrog to automate the workflow, increase release velocity & enhance quality.
Horses for Courses: Database RoundtableEric Kavanagh
The blessing and curse of today's database market? So many choices! While relational databases still dominate the day-to-day business, a host of alternatives has evolved around very specific use cases: graph, document, NoSQL, hybrid (HTAP), column store, the list goes on. And the database tools market is teeming with activity as well. Register for this special Research Webcast to hear Dr. Robin Bloor share his early findings about the evolving database market. He'll be joined by Steve Sarsfield of HPE Vertica, and Robert Reeves of Datical in a roundtable discussion with Bloor Group CEO Eric Kavanagh. Send any questions to info@insideanalysis.com, or tweet with #DBSurvival.
Leapfrog into Serverless - a Deloitte-Amtrak Case Study | Serverless Confere...Gary Arora
This talk was delivered at the Serverless Conference in New York City in 2017. Deloitte and Amtrak built a Serverless Cloud-Native solution on AWS for real-time operational datastore and near real-time reporting data mart that modernized Amtrak's legacy systems & applications. With Serverless solutions, we are able leapfrog over several rungs of computing evolution.
Gary Arora is a Cloud Solutions Architect at Deloitte Consulting, specializing on Azure & AWS.
Choosing the Right Database: Exploring MySQL Alternatives for Modern Applicat...Mydbops
Choosing the Right Database: Exploring MySQL Alternatives for Modern Applications by Bhanu Jamwal, Head of Solution Engineering, PingCAP at the Mydbops Opensource Database Meetup 14.
This presentation discusses the challenges in choosing the right database for modern applications, focusing on MySQL alternatives. It highlights the growth of new applications, the need to improve infrastructure, and the rise of cloud-native architecture.
The presentation explores alternatives to MySQL, such as MySQL forks, database clustering, and distributed SQL. It introduces TiDB as a distributed SQL database for modern applications, highlighting its features and top use cases.
Case studies of companies benefiting from TiDB are included. The presentation also outlines TiDB's product roadmap, detailing upcoming features and enhancements.
Customer migration to Azure SQL database, December 2019George Walters
This is a real life story on how a software as a service application moved to the cloud, to azure, over a period of two years. We discuss migration, business drivers, technology, and how it got done. We talk through more modern ways to refactor or change code to get into the cloud nowadays.
Stephen Cantrell, kdb+ Developer at Kx Systems “Kdb+: How Wall Street Tech c...Dataconomy Media
Stephen Cantrell, kdb+ Developer at Kx Systems
“Kdb+: How Wall Street Tech can Speed up the World"
You can see some additional notes here:
https://github.com/cantrells/berlin_kdb_demo?files=1
Converged Everything, Converged Infrastructure delivering business value and ...NetAppUK
Converged Infrastructure solutions for Cloud create business value for many customers worldwide by shortening and simplifying the path to infrastructure adoption, and time to productivity. In this session hear Alan Watson, NetApp Alliances Business Development Manager, Julian Datta, Microsoft Private Cloud Channel Development Manager and Andrew Gunyon, Cisco Data Centre Sales Manager discuss the value of very well integrated software and converged infrastructure. Hear them share their experiences, along with the latest developments in FlexPod Converged Infrastructure.
VoltDB and HPE Vertica Present: Building an IoT Architecture for Fast + Big DataVoltDB
This webinar with Chris Selland of HPE Vertica and Dennis Duckworth of VoltDB addresses the growing challenges with managing a complex IoT solution and how to enable real-time operational interaction with comprehensive data analytics.
How We Do DevOps at Walmart: OneOps OSS Application Lifecycle Management Plat...WalmartLabs
Recently, Dr. Qingsong Zhang spoke at a Meetup about how Walmart is using DevOps.
Within this slide deck, you'll learn about our DataOps, DevOps and OneOps, an application lifecycle management (ALM), and open source DevOps platform for cloud which was developed by Walmart Labs.
Feel free to follow us on Twitter: @one_ops!
Contribute to One_Ops: www.oneops.com
AWS Partner: Grindr: Aggregate, Analyze, and Act on 900M Daily API CallsAmazon Web Services
Monitoring and making sense of infrastructure data can be an arduous process. Managing a volume of API calls from more than one million active users every minute presents an even more complex and demanding challenge. Using Amazon Web Services (AWS) and Datadog, Grindr overcame a series of infrastructure challenges by both implementing and managing highly scalable, high availability, and top performing infrastructure, as well as aggregating, analyzing, and acting on key infrastructure data KPIs.
1 Introduction to Microsoft data platform analytics for releaseJen Stirrup
Part 1 of a conference workshop. This forms the morning session, which looks at moving from Business Intelligence to Analytics.
Topics Covered: Azure Data Explorer, Azure Data Factory, Azure Synapse Analytics, Event Hubs, HDInsight, Big Data
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...Dataconomy Media
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can Speed up the World"
Bio:
Ronan Corkery is a kdb+ engineer who has been working with Kx and First Derivatives for the past 4 years. Currently based in Total Gas and Power he spent his first 2 year working with Morgan Stanley.
Abstract:
Ronan's presentation will focus on the vertical industries the formally only finance based technologies Kx offers has been moving into. He will present proven solutions as well as introducing the overall architecture that Kx uses as well as laying out potential opportunities to work with Kx.
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...Maya Lumbroso
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can Speed up the World"
Bio:
Ronan Corkery is a kdb+ engineer who has been working with Kx and First Derivatives for the past 4 years. Currently based in Total Gas and Power he spent his first 2 year working with Morgan Stanley.
Abstract:
Ronan's presentation will focus on the vertical industries the formally only finance based technologies Kx offers has been moving into. He will present proven solutions as well as introducing the overall architecture that Kx uses as well as laying out potential opportunities to work with Kx.
Similar to How to Manage Your Time Series Data Pipeline at the Edge with InfluxDB (20)
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.
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
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
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.
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
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.
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)
How to Manage Your Time Series Data Pipeline at the Edge with InfluxDB
1. 1
How to Manage Your Time Series Data
Pipeline at the Edge with InfluxDB
Pablo Acosta Ph.D.
VP Engineering
Prescient
Ashish Yadav
Director of Software Development
Prescient
www.prescientdevices.com
2. 2
Agenda
• Introduction to Prescient
• Prescient Designer architecture
• Why InfluxDB?
• Prescient Edge Use Cases
• Present & Future of InfluxDB support
• Schedule a demo!
F
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Pablo Acosta Ph.D.
VP Engineering
pablo.acosta@prescientdevices.com
Ashish Yadav
Director of Software Development
ashish.yadav@prescientdevices.com
3. 3
20
10
Years of IoT
We built end-to-end IoT solutions and deployed
over 500,000+ devices in prior venue
Years of Hardware & System
We built hardware and data solutions to go into
Cisco and Ericsson networking equipment
70
Companies transformed
Helping 70+ companies to transform edge data
operations
Realizing value of edge
data at scale, fast
5. 5
What do we do?
Workwithdata
from any source at the
edge, in the cloud, or both
• Build solutions in 2 weeks
• Make changes in hours
• Supports most edge
data sources, protocols,
and hardware
• Professional services available
• Acquire, extract, transform,
analyze, visualize, and load
• Deliver data into and process
data from data warehouses,
data lakes, and AI engines
• Edge computing and cloud
computing in the same flow
• Low-code platform to enable
continuous innovation
• 12x faster implementation
and 6x lower cost
• Open ecosystem built on
Node-RED and Node.JS
Createanddeploy
edge-to-cloud solutions
that evolve rapidly
Empowerengineers
to unlock the value of data
and drive innovations
6. 6
Native &
Container
Prescient
Broker
D
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E
1
Control and data have
separate credentials (users)
• Prescient Edge
Runtime
• Node-RED
• InfluxDB
• TensorFlow
• Prescient Edge
Runtime
• Node-RED
• InfluxDB
• TensorFlow
D
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n
D A T A
C O N T R O L
Architecture
8. 8
Why InfluxDB?
Initially backend use
Ideally suited for IIoT
User demand
First-class Node-RED support
Open source
Runs well in low-resource devices
9. 9
Challenges
• Only “by time” retention policy
Periodic check, incrementally drop older samples
• Data rate constraint in edge devices
Add rate limiting node before InfluxDB node, batch writes
• Transition between Influx1.x and 2.x for users
dbrp mapping, help users port their queries, “easydb in” node
10. 10
E D G E A P P L I C A T I O N U S E C A S E S
IIoTandEdge
Solutions
DistributedEdge
DataOps
EdgeData
Workflows
AI Container
Workflows
Workflows
11. 11
UseCase
Smart chemical solution
Saves 8-months
Development time
• 1 application engineer, 2 months (part-time)
• Monitor 100+ physical data parameters,
consistent model between edge and cloud,
perform analytics in edge controller
• Deploy to hundreds of sites
• Continuous innovation
• InfluxDB use
System status logging
Data buffering in case of network or power loss
Generates
Recurring revenue
$
Saves $300K
Development cost
12. 12
UseCase
Industry 4.0 predictive maintenance
Saves 4-months
Development time
• 1 application engineer, 1 week
• Uses vibration sensors to monitor CNC
machine toolset
• Detect errors and prevent damage
• Complete custom solution in 1 week
• InfluxDB for local redundancy
Generates
Recurring revenue
$
Saves $160K
Development cost
14. 14
What is Node-RED
Features
Low Code
Single device
All development is
local to the device
2M
Node-RED downloads (2019)
98%
of Fortune 500 companies use NodeJS
Full-spectrum graphical
development environment
for event-driven applications
25. 25
Present Future
• Install InfluxDB on-
premise by default
• “easydb” read node
same user-friendliness
as query builder in
InfluxDB Cloud
• “easydb” write node
• Make database use accessible
for engineers
• Use InfluxDB for edge buffering
when network connectivity loss
26. 26
We love
projects!
Schedule a Demo
www.prescientdevices.com
Follow Us
@PrescientPDI
Pablo Acosta Ph.D. | VP Engineering
pablo.acosta@prescientdevices.com
Ashish Yadav | Director of Software Development
ashish.yadav@prescientdevices.com