Heat meters can provide valuable information to various stakeholders in a heat network. For consumers, heat meters can show how much heat and hot water was used and identify any faults. Landlords can monitor occupancy and property maintenance issues. Network operators can view demand trends and network performance to improve service quality. A smart heat network that integrates heat meters with additional sensors can more accurately pinpoint faults, monitor indoor conditions, and provide real-time data for billing and operations.
GIS based sewer maintenance using MapWindow Open Source GISMapWindow GIS
Sewer maintenance workers are sensors for a lot of sewer specific phenomena like sedimentary
depositions, smell, damage, danger, amount of work and best practice. The knowledge of these factors is
important for optimized rehabilitation and maintenance concepts. Sewer maintenance workers put their
data into a GIS based tool and they get back information about sewers which have to be maintained next.
Subsequently the data are used in hydrodynamic and prognosis models to include operational experience
in the planning processes of an optimized long term sewer rehabilitation. In Graz the sewers are now
GIS based maintained. The long term strategy is to get low-maintenance sewers to be able to increase
the maintenance quality followed by an increase of the lines span of life.
Presented by Werner Sprung, Ingenieurbüro Sprung, Austria
In today’s world, homes are becoming ever smarter. Majority of you already equipped your home with smart device (excluding smartphones and computers even if they can account to that list as well) without knowing. Smart fridge, washing machine, TV, heating/cooling, climate control, lights, blinds, etc. are part of our day to day life. Some of them are already connected to network and communicate with manufacturer to predict maintenance periods, outages and similar odd behavior. By tapping into that communication and implementing/empowering central collection and analytic solution we can start building models which can help us save money, health, relief stress levels and even save/protect our lives and property by tracking and predicting potential problematic situations (fire, smoke, CO and other gas related fumes, intruders) even if we do not have appropriate sensors in place. Correlating different sensor measurements and establishing appropriate and proven causality, we can start making our home even smarter and cost effective.
Should we dynamically close shutters to preserve heat/cold within our house, should we change temperature on our smart fridge so we do not waste energy based on how much “stuff” (and which “stuff”) do we have inside fridge are some of questions which can be answered by this lecture where we will talk about implementation of Smart+ Home analytics based on user behavior, patterns but also extended into protection area by preventive alerting for fires/gas leaks, potential wiring issues (problems hidden in house walls), etc.
KiZAN will bring 25 Raspberry Pi starter kits that run Windows 10 IoT Core. This will enable participants to build a really compelling IoT/Azure/Power BI story in a single day! Interet of Things (IoT) Raspberry Pi starter kit
We’ll start off the day with an introduction to IoT and build IoT devices (hands on). Next, we’ll build a simple temperature sensor, collecting ambient temperature readings, and stream the data to an Azure IoT Hub.
Once the data is in Azure, we’ll analyze it with Azure Stream Analytics, and ship it to an Azure SQL Database.
Finally, we’ll report on the data and build dashboards of our temperature readings using Power BI.
GIS based sewer maintenance using MapWindow Open Source GISMapWindow GIS
Sewer maintenance workers are sensors for a lot of sewer specific phenomena like sedimentary
depositions, smell, damage, danger, amount of work and best practice. The knowledge of these factors is
important for optimized rehabilitation and maintenance concepts. Sewer maintenance workers put their
data into a GIS based tool and they get back information about sewers which have to be maintained next.
Subsequently the data are used in hydrodynamic and prognosis models to include operational experience
in the planning processes of an optimized long term sewer rehabilitation. In Graz the sewers are now
GIS based maintained. The long term strategy is to get low-maintenance sewers to be able to increase
the maintenance quality followed by an increase of the lines span of life.
Presented by Werner Sprung, Ingenieurbüro Sprung, Austria
In today’s world, homes are becoming ever smarter. Majority of you already equipped your home with smart device (excluding smartphones and computers even if they can account to that list as well) without knowing. Smart fridge, washing machine, TV, heating/cooling, climate control, lights, blinds, etc. are part of our day to day life. Some of them are already connected to network and communicate with manufacturer to predict maintenance periods, outages and similar odd behavior. By tapping into that communication and implementing/empowering central collection and analytic solution we can start building models which can help us save money, health, relief stress levels and even save/protect our lives and property by tracking and predicting potential problematic situations (fire, smoke, CO and other gas related fumes, intruders) even if we do not have appropriate sensors in place. Correlating different sensor measurements and establishing appropriate and proven causality, we can start making our home even smarter and cost effective.
Should we dynamically close shutters to preserve heat/cold within our house, should we change temperature on our smart fridge so we do not waste energy based on how much “stuff” (and which “stuff”) do we have inside fridge are some of questions which can be answered by this lecture where we will talk about implementation of Smart+ Home analytics based on user behavior, patterns but also extended into protection area by preventive alerting for fires/gas leaks, potential wiring issues (problems hidden in house walls), etc.
KiZAN will bring 25 Raspberry Pi starter kits that run Windows 10 IoT Core. This will enable participants to build a really compelling IoT/Azure/Power BI story in a single day! Interet of Things (IoT) Raspberry Pi starter kit
We’ll start off the day with an introduction to IoT and build IoT devices (hands on). Next, we’ll build a simple temperature sensor, collecting ambient temperature readings, and stream the data to an Azure IoT Hub.
Once the data is in Azure, we’ll analyze it with Azure Stream Analytics, and ship it to an Azure SQL Database.
Finally, we’ll report on the data and build dashboards of our temperature readings using Power BI.
Technical Update - Intelligent Campus Community Event - 17th January 2019James Clay
If you are working in the area of the intelligent campus and have an interest in the work being undertaken in this space, we would like to invite you to attend the third of our community events. This community of practice gives people a chance to network, share practice and hear what various institutions are doing. You will have the opportunity to discover more about our intelligent campus project and our work in this space.
In the technical update, we talked about the architecture, infrastructure behind the proposed service, how we are building a prototype in the Jisc offices and delivered a live demo.
Pilgrim Beart speaks at SGCP13 by CIR the Strategy Consultancy. This talk on Simplicity and the Smart Home was voted most popular by over 30 of the conference delegates online after the conference! Enjoy!
Making Homes Efficient and Comfortable Using AI and IoT DataDatabricks
Quby is a leading company offering data driven home services technology across European markets, known for creating the in-home display and smart thermostat Toon. We enable our partners to take on a leading role in the home services domain, by offering data driven home services. Our services enable users to control and monitor their homes using both an in-home display and app.
As a data driven company, we use AI and machine learning, backed by Apache Spark, to generate actionable insights for all our end users. Via our IoT devices we have access to Europe’s largest energy dataset, petabytes in scale and growing exponentially. This unique dataset enables us to introduce new data driven services, with a particular focus on homes with smart meter installations.
In this talk, Ellissa will describe how machine learning is implemented on the Quby platform and will show multiple use cases backed by high-resolution IoT data. We’ll take a look at super resolution techniques for time series data, where using detailed high-resolution energy data is used to show personalized energy insights for users where only limited low-resolution energy data is available. We’ll show how ML algorithms offer the possibility for non-intrusive monitoring of elderly patients.
Ellissa will share the experiences from the Data Science and Data Engineering teams at Quby with bringing these data science algorithms from R&D to production using Databricks and the lessons learned in offering these services to hundreds of thousands of users on a daily basis.
Presentatie anomalien -maarten van someren uvaJosje Spinhoven
Presentatie SURFacademy 4-2-2016
Smart buildings: what ict can do
Energiebesparing m.b.v. data-analyse van gebouwbeheersystemen en onverklaarde afwijkingen door Maarten van Someren, docent/onderzoeker bij het Informatica-instituut van de UvA
For some, the Process Map is the #1 process improvement tool available. And if that’s true, the Swimlane Map is an even better tool for mapping processes. Adding lanes kicks the analysis and discovery up a notch. It’s great for highlighting who-does-what and uncovering hand-offs that result in dropped balls. It also goes by many names so whether it’s “Deployment Map,” “Cross-Functional Map” or the more athletic “Swimlane Map,” it’s a great thing to get better at. Join this 1-hour Intermediate webinar for a look at this process workhorse and find out how to make it work for you!
Elastic at Procter & Gamble: A Network StoryElasticsearch
Learn how the Elastic Stack helped Procter & Gamble achieve a greater understanding of their data, as well as introducing observability to their toolkit to help them be more proactive and provide better services.
What are the latest developments in the highly charged world of electric energy-efficiency technologies? Get updates on current advancements in LED lighting, air conditioning, non-intrusive monitoring, and more
Instruction manuals, users guides, and other types of documentation have always been the way manufacturers distributed the how-to information about their products to customers, as well as sales and support staff and other employees. This kind of catch-all, one-size document forces every user to sift through irrelevant information, applying their own context to find solutions to their problems. Even when they are successful, users remember the experience as painful and tedious. There must be a better way. In 2008 Kees van Mansom and Thei Geurts developed the concept of Documentation 3.0. Using semantic technology, we can create the smart documentation that guides each customer through the actions, decisions, and choices they can take to maximize their user experience.
In the fast paced world of information security, analysts are tasked to perform seemingly and often improbable feats of data analysis, and produce actionable results. Actionable could mean, things to block, collect, or be-on-the-look-out (BOLO). Data sources can range from data obtained on-line, device log files, PCAPs, and miscellaneous CSV files to name a few. Seldom does the data align properly, and it could be missing vital contextual information. On the surface, the various data sets may not appear to have any relationship. Not to mention, the small problem, the information totals are in the millions. As if your day was not already turbulent. When, where, why and how do we begin to make sense of the madness? The answer lies in in the solution to this question: How do we eat an elephant? One byte at a time.
During this talk, we will analyze real data, discuss and apply various methods, data frameworks and tools coupled with the Python programming language to tackle this obstacle. Along the way identifying methods to triage and process the data. Unearthing the golden nuggets of information that can and will help the analyst better defend the network, and find the proverbial needle in a haystack. It’s time to make the data work for the analyst instead of the analyst being held at its mercy. Even the simplest data sets can yield promising results, we just need to know what to ask, how to look, and enrich the data.
Applications of IoT, by Jonathan Brewer.
A presentation given at APNIC 42's Introduction to Internet of Things (IoT) session on Tuesday, 4 October 2016.
At the 2021 North Carolina Electric Meter School, Tom Lawton gave the Opening Keynote on smart meters and the increasingly important role the meter is playing in the smart grid.
Data streams relevant for energy use in buildings are increasing. Many households have “smart” meters in place or are installing smart thermostats or smart plugs; and the first IoT applications are entering households. We see similar developments in commercial buildings.
This wealth of data provides new opportunities to better understand and control energy use in buildings. Significant energy saving potentials are claimed. Nevertheless, there are also serious challenges, like privacy and cybersecurity issues, and the variety of platforms.
In this webinar an overview will be given of the main developments in this new field. The challenge is how big data can empower users of homes and office buildings to create a comfortable and efficient living and working place.
In a typical building base-load analysis will identify the server room, if one is present, at the top of the list of “out of hours” consumption. In recent years server rooms have been built nearly always with mechanical cooling. In many cases we find that the cooling plant is consuming as much energy as the servers.
David Green, Head of Workshops at the University of Cambridge, will present the Department of Engineering server room journey. He has transformed one of his large server rooms by using free cooling and cold aisle warm aisle containment and learnt a lot along the way.
Technical Update - Intelligent Campus Community Event - 17th January 2019James Clay
If you are working in the area of the intelligent campus and have an interest in the work being undertaken in this space, we would like to invite you to attend the third of our community events. This community of practice gives people a chance to network, share practice and hear what various institutions are doing. You will have the opportunity to discover more about our intelligent campus project and our work in this space.
In the technical update, we talked about the architecture, infrastructure behind the proposed service, how we are building a prototype in the Jisc offices and delivered a live demo.
Pilgrim Beart speaks at SGCP13 by CIR the Strategy Consultancy. This talk on Simplicity and the Smart Home was voted most popular by over 30 of the conference delegates online after the conference! Enjoy!
Making Homes Efficient and Comfortable Using AI and IoT DataDatabricks
Quby is a leading company offering data driven home services technology across European markets, known for creating the in-home display and smart thermostat Toon. We enable our partners to take on a leading role in the home services domain, by offering data driven home services. Our services enable users to control and monitor their homes using both an in-home display and app.
As a data driven company, we use AI and machine learning, backed by Apache Spark, to generate actionable insights for all our end users. Via our IoT devices we have access to Europe’s largest energy dataset, petabytes in scale and growing exponentially. This unique dataset enables us to introduce new data driven services, with a particular focus on homes with smart meter installations.
In this talk, Ellissa will describe how machine learning is implemented on the Quby platform and will show multiple use cases backed by high-resolution IoT data. We’ll take a look at super resolution techniques for time series data, where using detailed high-resolution energy data is used to show personalized energy insights for users where only limited low-resolution energy data is available. We’ll show how ML algorithms offer the possibility for non-intrusive monitoring of elderly patients.
Ellissa will share the experiences from the Data Science and Data Engineering teams at Quby with bringing these data science algorithms from R&D to production using Databricks and the lessons learned in offering these services to hundreds of thousands of users on a daily basis.
Presentatie anomalien -maarten van someren uvaJosje Spinhoven
Presentatie SURFacademy 4-2-2016
Smart buildings: what ict can do
Energiebesparing m.b.v. data-analyse van gebouwbeheersystemen en onverklaarde afwijkingen door Maarten van Someren, docent/onderzoeker bij het Informatica-instituut van de UvA
For some, the Process Map is the #1 process improvement tool available. And if that’s true, the Swimlane Map is an even better tool for mapping processes. Adding lanes kicks the analysis and discovery up a notch. It’s great for highlighting who-does-what and uncovering hand-offs that result in dropped balls. It also goes by many names so whether it’s “Deployment Map,” “Cross-Functional Map” or the more athletic “Swimlane Map,” it’s a great thing to get better at. Join this 1-hour Intermediate webinar for a look at this process workhorse and find out how to make it work for you!
Elastic at Procter & Gamble: A Network StoryElasticsearch
Learn how the Elastic Stack helped Procter & Gamble achieve a greater understanding of their data, as well as introducing observability to their toolkit to help them be more proactive and provide better services.
What are the latest developments in the highly charged world of electric energy-efficiency technologies? Get updates on current advancements in LED lighting, air conditioning, non-intrusive monitoring, and more
Instruction manuals, users guides, and other types of documentation have always been the way manufacturers distributed the how-to information about their products to customers, as well as sales and support staff and other employees. This kind of catch-all, one-size document forces every user to sift through irrelevant information, applying their own context to find solutions to their problems. Even when they are successful, users remember the experience as painful and tedious. There must be a better way. In 2008 Kees van Mansom and Thei Geurts developed the concept of Documentation 3.0. Using semantic technology, we can create the smart documentation that guides each customer through the actions, decisions, and choices they can take to maximize their user experience.
In the fast paced world of information security, analysts are tasked to perform seemingly and often improbable feats of data analysis, and produce actionable results. Actionable could mean, things to block, collect, or be-on-the-look-out (BOLO). Data sources can range from data obtained on-line, device log files, PCAPs, and miscellaneous CSV files to name a few. Seldom does the data align properly, and it could be missing vital contextual information. On the surface, the various data sets may not appear to have any relationship. Not to mention, the small problem, the information totals are in the millions. As if your day was not already turbulent. When, where, why and how do we begin to make sense of the madness? The answer lies in in the solution to this question: How do we eat an elephant? One byte at a time.
During this talk, we will analyze real data, discuss and apply various methods, data frameworks and tools coupled with the Python programming language to tackle this obstacle. Along the way identifying methods to triage and process the data. Unearthing the golden nuggets of information that can and will help the analyst better defend the network, and find the proverbial needle in a haystack. It’s time to make the data work for the analyst instead of the analyst being held at its mercy. Even the simplest data sets can yield promising results, we just need to know what to ask, how to look, and enrich the data.
Applications of IoT, by Jonathan Brewer.
A presentation given at APNIC 42's Introduction to Internet of Things (IoT) session on Tuesday, 4 October 2016.
At the 2021 North Carolina Electric Meter School, Tom Lawton gave the Opening Keynote on smart meters and the increasingly important role the meter is playing in the smart grid.
Data streams relevant for energy use in buildings are increasing. Many households have “smart” meters in place or are installing smart thermostats or smart plugs; and the first IoT applications are entering households. We see similar developments in commercial buildings.
This wealth of data provides new opportunities to better understand and control energy use in buildings. Significant energy saving potentials are claimed. Nevertheless, there are also serious challenges, like privacy and cybersecurity issues, and the variety of platforms.
In this webinar an overview will be given of the main developments in this new field. The challenge is how big data can empower users of homes and office buildings to create a comfortable and efficient living and working place.
In a typical building base-load analysis will identify the server room, if one is present, at the top of the list of “out of hours” consumption. In recent years server rooms have been built nearly always with mechanical cooling. In many cases we find that the cooling plant is consuming as much energy as the servers.
David Green, Head of Workshops at the University of Cambridge, will present the Department of Engineering server room journey. He has transformed one of his large server rooms by using free cooling and cold aisle warm aisle containment and learnt a lot along the way.
COHEAT @ HouseMark Evolve Demo Day March 2017Marko Cosic
Slides from COHEAT's slot at the HouseMark Evolve demo say at the Shard in March 2017. This was an accelerator programme where COHEAT got to work with leading housing providers in order to understand their needs regarding communal and district heating systems and test a few of our pre production solutions in operation. Thanks HouseMark, LMarks, and housing providers for the opportunity!
COHEAT: open protocol metering and pre-payment at Ecobuild 2017Marko Cosic
COHEAT slides outlining the differences between open and closed protocol metering systems for heat networks, including how open protocol prepayment metering can be realised.
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.
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.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
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.
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
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
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
5. What does the consumer care about?
• Did I get the hot water I wanted?
• Did I get the space heating I wanted?
• Where has all my money gone?
• Is there a fault and when will it be fixed?
6. What does the landlord care about?
• Is there a fault and when will it be fixed?
• Did I provide hot water?
• Did I provide space heating?
• What should my tariff be?
7. What else might a landlord care about?
• Is there anybody living here?
• Are they alive and well?
• Are they looking after my property?
• Is there a fault I need to fix?
8. What does an operator need to know?
• What are/were customers are asking for?
• What service are/were we delivering?
• What is/was happening in the home?
• What is/was the heat network doing?
27. Summary
• It’s “Quality of Service” that matters
– What are customers asking for?
– What are actually you delivering?
– How is the network you delivering it?
• Don’t have blind faith in heat networks
– Heat meters are invaluable
– They’re even better in a fully integrated system
Learn how heat meters, smart thermostats, and analysis tools can be combined to improve the efficiency of your heat networks and provide unrivalled insight into the welfare of some of the most vulnerable in our society.
COHEAT has been developing an advanced heat network in the West Midlands under DECC's heat network innovation programme. Technical Director Marko Cosic will describe the pilot and how the metering data is used by:
Trident Housing Association to ensure that appropriate use of their property portfolio is maintained;
Support workers to monitor the comfort and wellbeing of their residents and intervene before fuel poverty and cold, damp conditions become an issue;
Residents to know exactly what their bills will be and how the way they use their heating affects energy consumption.
Heat supply, pipes, heat interface unit. Meters either end of the pipe if you’re lucky.
Past tense because it’s rare to get real time visibility.
Often it’s only once every 30 minutes – so called smart meters – or 5 minutes – because battery powered meters aren’t designed for real time data and they will go flat if they measure too often
Read the number of the front.
This is the historical data you get from a data logger.
Engineer can interpret this. Services are available to do this for you.
Basically the flatter these are and the lower the return temperature the better.
If it were this simple we could all go home now.
By this: what makes the customer call you.
Cold showers. Waiting for taps.
Cold rooms. Hot rooms.
Confusion and bewilderment because Honeywell. Confusion and bewilderment because laws of physics. You took their money though so it’s your problem.
When things do go wrong, which they do, the customer wants to know that you know and when it’ll be fixed.
Was the water hot enough? Was it too hot? Can I prove this for compliance purposes? Lot of attention Legionella or scalding, particularly in supported housing.
Was the water hot enough? Was it too hot? Can I prove this for compliance purposes? Lot of attention Legionella or scalding, particularly in supported housing.
The every sensor actuator blah blah.
You’ve go to meter and bill and have a data connection. Once you’ve done all the hard bits we extend how far we monitor. Smart thermostats are inevitable so you may as well integrate them.
Close that loop.
Trident were bold. They and DECC wanted this sort of thing so badly that let us do anything we want on their site.
