Hoodere: Twitter for real-life plans.
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Hoodere is a social platform designed to help users address common problems in making casual plans with friends. It allows users to see who will be at a certain place in the future, easily organize plans with friends through a cleaner interface than other options, discover upcoming plans of friends in their area, and share potential plans to attract others. The document introduces Hoodere and its key features for addressing issues like not knowing who will be somewhere, difficulty coordinating plans through messages, lack of awareness of nearby plans, and no good way to ask others to join impromptu activities.
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Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Containers & AI - Beauty and the Beast!?!
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.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
So… you want to become a Test Automation Engineer (or hire and develop one)? While there’s quite a bit of information available about important technical and tool skills to master, there’s not enough discussion around the path to becoming an effective Test Automation Engineer that knows how to add VALUE. In my experience this had led to a proliferation of engineers who are proficient with tools and building frameworks but have skill and knowledge gaps, especially in software testing, that reduce the value they deliver with test automation.
In this talk, Lee will share his lessons learned from over 30 years of working with, and mentoring, hundreds of Test Automation Engineers. Whether you’re looking to get started in test automation or just want to improve your trade, this talk will give you a solid foundation and roadmap for ensuring your test automation efforts continuously add value. This talk is equally valuable for both aspiring Test Automation Engineers and those managing them! All attendees will take away a set of key foundational knowledge and a high-level learning path for leveling up test automation skills and ensuring they add value to their organizations.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
"What does it really mean for your system to be available, or how to define w...
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Available 24/7
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Tomaz Bratanic
Graph ML and GenAI Expert - Neo4j
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).
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
Day 2 - Intro to UiPath Studio Fundamentals
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
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Hoodere: Twitter for real-life plans.
- 1. hoodere “The social platform for real-life plans” HD101: Intro to Hoodere
- 2. Hi! I’m Hoodere (pronounced “Who-There”) hoodere
- 3. If you have any of these problems, we have a cure! I Can’t figure out who will be at a place or town you will be visiting soon? Can’t find an easy way to organize casual plans like hang outs, nights out, team sports etc with a group of friends? II III Wondering what’s happening around you now or tomorrow? IV Want to find out if any of your friends around you are up for a certain plan e.g. watch a movie, shopping or a game of tennis? hoodere
- 4. I Problem: Who’s there? When you plan to go somewhere you cannot easily find out which of your friends will be around to meet up with • Facebook statuses but are not seen by all relevant people due to feed traffic • Foursquare tells you where people are now, not where they will be • Searching via Facebook is not that user friendly and really doesn’t return much hoodere
- 5. I Hoodere lets you find out who will be at a certain place on a certain date in the future hoodere
- 6. II Problem: Plan making Too much clutter and hassle in making a plan with friends and coordinating with each other during the plan • Facebook and e-vite are too formal for nonevent meet-ups • Group messages and email lists are too cluttered and hard to figure out the agreed time/place (unless you want to go through 200 messages) hoodere
- 7. II Hoodere is a cleaner and simpler way to make plans, suggest logistics, discuss and share whereabouts Plan details Closer to plan time, people can simply push their status to the group and avoid annoying calls from each person Attendee status Plan discussion and banter Alternate suggestions hoodere
- 8. III Problem: Discovering plans Still no easy way to discover what is going on around you • No place to easily browse through friend’s upcoming plans - especially casual plans • Facebook does not filter events relevant to your planned location; too many are not relevant to you hoodere
- 9. III Hoodere is a place to easily discover friends’ plans and events happening around you in the future User can change proximity and connection level to fit needs Quick action buttons (join, chat, see etc) hoodere
- 10. IV Problem: Who’s up for…? No efficient way to ask others if they are up for a plan. • Facebook statuses and Whatsapp group messages get buried under high activity traffic • Going through a ton of friends just to get one or two people is painful and inefficient! hoodere
- 11. IV Hoodere is a platform to share your plans to attract company or suggestions Suggest desired plan using a qtag and select the circles you want to share with Add only as many details as you know. Figure the rest as you go along Friends can see the plans on MySteps or PlanFinder views hoodere
- 12. Try it out. Its free! http://app.hoodere.com hoodere
- 13. Thanks! Call us sometime. https://www.facebook.com/hoodereapp https://www.twitter.com/hoodereapp https://www.linkedin.com/company/3201565 https://www.twitter.com/sameernoorani https://www.linkedin.com/in/sameernoorani hoodere