10 Reasons Why Cloud Foundry Rocks!
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The document lists 10 reasons why the open platform-as-a-service (PaaS) model is cool or awesome. It discusses features like using open source, popular programming languages like Java, Ruby and Node.js, connecting applications to services, deploying and scaling applications, creating tunnels, using any source control management system, and the platform being free for developers. The document promotes CloudFoundry as an open PaaS and provides links to samples and more information.
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The document discusses MQTT (Message Queuing Telemetry Transport), a publish-subscribe based messaging protocol that is lightweight and designed for constrained devices and unreliable networks. It describes MQTT in terms of its protocol, code/implementations including brokers like Mosquitto and clients in many languages, and its growing community of adopters and contributors. MQTT originated from the need for efficient telemetry in industrial systems and has expanded to broader Internet of Things applications.
Combining Context with Signals in the IoT (longer version)
The document discusses Andy Piper's presentation on using Twitter as a platform for the Internet of Things (IoT). It provides examples of objects like plants, ferries, houses, and sensors that already tweet. It also describes how Twitter's APIs can be used to ingest real-time streaming data from IoT devices and analyze historical tweet data. Finally, it discusses how object interactions can be driven by tweets on the Twitter platform.
Why the Internet of Things will be built on Open Source
The document discusses how open source will be important for building the Internet of Things (IoT). It describes how open protocols like MQTT, which was created in 1999 and became popular through an open source broker, are helping drive innovation in IoT projects. The Eclipse Foundation is becoming a home for open IoT projects through initiatives like Eclipse IoT and MQTT is being adopted by many IoT clients and applications. For the IoT to continue advancing, there is still work to be done in areas like security, data formats and device discovery.
Combining Context with Signals in the Internet of Things
Presentation from Techsylvania 2014, in Cluj-Napoca, Romania - how to use Twitter APIs in the Internet of Things
MQTT - standards-based plumbing for the Internet of Things
MQTT is a publish-subscribe messaging protocol that is well-suited for connecting devices in the Internet of Things. It was designed for constrained environments like low-bandwidth, high-latency or unreliable networks, and supports publishing and subscribing to messages with minimal bandwidth usage. MQTT has grown in popularity for industrial and IoT applications where devices need to transmit sensor data or receive commands, and its simplicity has allowed even children to understand how message flow works. While MQTT works well for many current IoT uses, further development is still needed in areas like security, data formats and device discovery as the IoT continues to expand.
My Quantified Self and the promise of wearables
Thoughts on my personal health and wearable technology from the Sci-Fi London Wearable Horizons event, May 2014
Why Data, Code and Mobile converge in the Open Cloud
Presented at Craft Conf 2014, Budapest - an overview of the history of the Platform-as-a-Service space and the need for Open Source.
From Cloud Computing to Platform as a Service – BCS Oxfordshire
A short history of cloud computing, and why Platform as a Service (PaaS) is an important aspect of this technology. Presented at bcs Oxfordshire, February 2014
Why Apps, Data and Mobile Converge in the Open Cloud
The document discusses trends in cloud computing and open source platforms. It predicts that in 2014 there will be more developers building more awesome services in the open cloud. This convergence is driven by the ability of open platforms to handle vast amounts of data and code at scale, enable rapid iteration, and provide agility through open APIs and rapid deployment. The success of early platforms like Linux shows that open platforms can succeed by being usable, composable, and addressing key technology needs like handling large and fast-growing amounts of data.
The Internet of Things is Made of Signals
People. Devices. Smart objects. Things. All of these create data, or signals. Signals, and responding to them in intelligent ways, are what drives behaviour. We’ll look at how the Internet of Things is, in fact, made up of signals – and some of the technology considerations to think about.
Presentation from Thingmonk 2013
More from Andy Piper (20)
Imagining the Future, when the Future is already Now
Imagining the Future, when the Future is already Now
Connecting to the Pulse of the Planet with the Twitter Platform
Connecting to the Pulse of the Planet with the Twitter Platform
Connecting to the pulse of the planet with Twitter APIs
Connecting to the pulse of the planet with Twitter APIs
Combining Context with Signals in the IoT (longer version)
Combining Context with Signals in the IoT (longer version)
Why the Internet of Things will be built on Open Source
Why the Internet of Things will be built on Open Source
Combining Context with Signals in the Internet of Things
Combining Context with Signals in the Internet of Things
MQTT - standards-based plumbing for the Internet of Things
MQTT - standards-based plumbing for the Internet of Things
Why Data, Code and Mobile converge in the Open Cloud
Why Data, Code and Mobile converge in the Open Cloud
From Cloud Computing to Platform as a Service – BCS Oxfordshire
From Cloud Computing to Platform as a Service – BCS Oxfordshire
Why Apps, Data and Mobile Converge in the Open Cloud
Why Apps, Data and Mobile Converge in the Open Cloud
Recently uploaded
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
Artificial Intelligence and Electronic Warfare
Artificial Intelligence and Electronic WarfarePapadakis K.-Cyber-Information Warfare Analyst & Cyber Defense/Security Consultant-Hellenic MoD
AI & Electronic WarfareBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Dmitrii Kamaev, PhD
Senior Product Owner - QIAGEN
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...Pitangent Analytics & Technology Solutions Pvt. Ltd
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Recently uploaded (20)
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
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"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
10 Reasons Why Cloud Foundry Rocks!
- 1. 10 Reasons Why Rocks*! @andypiper CONFIDENTIAL *in my humble opinion...
- 2. Hello I’m Andy
- 3. = The Open Platform-as-a-Service (PaaS) CONFIDENTIAL
- 4. Gmail, Salesforce, Software Flickr, Google Docs... Google AppEngine, Heroku, Cloud Foundry, Platform OpenShift, Apprenda... Amazon EC2, Google CE, OpenStack, vSphere, Infrastructure Joyent, Rackspace, Cloud Stack, Eucalyptus... 3 layers IaaS, PaaS, SaaS CONFIDENTIAL
- 5. 10 Cool / Awesome / Rocking Things CONFIDENTIAL
- 6. #1 - Open Source CONFIDENTIAL
- 7. #2 - Java & Spring! CONFIDENTIAL
- 8. CONFIDENTIAL #3 - node.js
- 9. #4 - Ruby & Rails CONFIDENTIAL
- 10. #5 - “any” language! CONFIDENTIAL
- 11. CONFIDENTIAL #6 - Services
- 12. $ vmc target <any cloud> $ vmc login <credentials> $ vmc push <my-‐app> > bind services? Yes $ vmc instances <my-‐app> +100 #7 - Deployment & Scaling CONFIDENTIAL
- 13. $ vmc tunnel <any cloud> CONFIDENTIAL #8 - Tunnels
- 14. #9 - Any SCM... CONFIDENTIAL
- 15. http://cloudfoundry.com/signup cf_now_nov12 #10 - Free for developers CONFIDENTIAL
- 16. Thank You! CloudFoundry Source Samples: https://github.com/cloudfoundry-samples/ http://cloudfoundry.com http://cloudfoundry.org Questions? @cloudfoundry #cloudfoundry @andypiper / apiper@vmware.com © 2012 VMware, Inc. All rights reserved