Redis is an open-source, in-memory data structure store that allows for atomic operations on data structures like strings, hashes, lists, sets, sorted sets, and bitmaps. It supports common operations like push, pop, and get and can be used as a cache, for session storage, or to compute statistics. StackExchange uses Redis with two servers each with 96GB RAM handling over 60k requests per second on average.
Video available at http://www.youtube.com/watch?v=gkdfNl0WL-A
Original slides at http://presentations.found.no/berlin-buzzwords-2013/
This talk covers some of the lessons we've learned from securing and herding hundreds of Elasticsearch clusters. It is applicable whether you operate Elasticsearch in your own infrastructure, in the cloud, or if you're a developer who wants a better understanding of Elasticsearch's various failure modes.
Elasticsearch easily lets you develop amazing things, and it has gone to great lengths to make Lucene's features readily available in a distributed setting. However, when it comes to running Elasticsearch in production, you still have a fairly complicated system on your hands: a system with high expectations on network stability, a huge appetite for memory, and a system that assumes all users are trustworthy.
Instead of delving deeply into a few specifics, we give a brief overview of problems you are likely to run into and suggested solutions to these problems. We cover topics that are applicable to both developers and users with Elasticsearch clusters of every shape and size – with an emphasis on resiliency and security.
Basic familiarity with Elasticsearch is assumed.
Redis is an open source in memory database which is easy to use. In this introductory presentation, several features will be discussed including use cases. The datatypes will be elaborated, publish subscribe features, persistence will be discussed including client implementations in Node and Spring Boot. After this presentation, you will have a basic understanding of what Redis is and you will have enough knowledge to get started with your first implementation!
Commonspot installation at cornell university libraryPaul Houle
Cornell University Library's CommonSpot installation is scaled to meet the needs of over 21 unit libraries that publish more than 70 web sites. This talk, given at a Commonspot Show and Tell, describes our system, based on Solaris and Oracle, that serves many virtual hosts while providing for separate test and production environments.
Chris Ward - Understanding databases for distributed docker applications - No...NoSQLmatters
In this talk we'll focus on the use of Crate alongside Weave in Docker containers, the technical challenges, best practices learned, and getting a big data application running alongside it. You'll learn about the reasons why Crate.IO is building "yet another NoSQL database" and why it's unique and important when running web scale containerized applications. We'll show why the shared-nothing architecture is so important when deploying large clusters in containers and how it addresses the issues and fears of a Docker-based persistence layer. You will learn how to deploy a Crate cluster in the cloud within minutes using Docker, some of the challenges you'll encounter, and how to overcome them in order to scale your backends efficiently. We focused on super simple integration with any cloud provider, striving it to be as turnkey as possible with minimal up-front configuration required to establish a cluster. Once established, we'll show how to scale the cluster horizontally by simply adding more nodes. The session will also give you examples when you should use Crate compared to other similar technologies such as MongoDB, Hadoop, Cassandra or FoundationDB. We'll talk about this approach's strengths and what types of applications are well-suited for this type of data store, as well what is not. Finally we'll outline how to architect an application that is easy to scale using Crate and Docker.
Hadoop Meetup Jan 2019 - Mounting Remote Stores in HDFSErik Krogen
Virajith Jalaparti and Ashvin Agrawal of Microsoft present regarding their work to support mounting remote stores in HDFS. They show how HDFS can be used as a caching proxy to access remote stores such as ADLS and S3, enabling clients to be unaware of the location of their data, and increasing efficiency in the process.
This is taken from the Apache Hadoop Contributors Meetup on January 30, hosted by LinkedIn in Mountain View.
Redis in Practice: Scenarios, Performance and Practice with PHPChen Huang
Knowledge sharing about Redis, mainly focusing on:
Why to use Redis? Comparison of some in-memory storages and their scenarios
How to make Redis faster? Consider time complexity, communication latency and serialization
Practice of replication and sentinel in PHP
Video available at http://www.youtube.com/watch?v=gkdfNl0WL-A
Original slides at http://presentations.found.no/berlin-buzzwords-2013/
This talk covers some of the lessons we've learned from securing and herding hundreds of Elasticsearch clusters. It is applicable whether you operate Elasticsearch in your own infrastructure, in the cloud, or if you're a developer who wants a better understanding of Elasticsearch's various failure modes.
Elasticsearch easily lets you develop amazing things, and it has gone to great lengths to make Lucene's features readily available in a distributed setting. However, when it comes to running Elasticsearch in production, you still have a fairly complicated system on your hands: a system with high expectations on network stability, a huge appetite for memory, and a system that assumes all users are trustworthy.
Instead of delving deeply into a few specifics, we give a brief overview of problems you are likely to run into and suggested solutions to these problems. We cover topics that are applicable to both developers and users with Elasticsearch clusters of every shape and size – with an emphasis on resiliency and security.
Basic familiarity with Elasticsearch is assumed.
Redis is an open source in memory database which is easy to use. In this introductory presentation, several features will be discussed including use cases. The datatypes will be elaborated, publish subscribe features, persistence will be discussed including client implementations in Node and Spring Boot. After this presentation, you will have a basic understanding of what Redis is and you will have enough knowledge to get started with your first implementation!
Commonspot installation at cornell university libraryPaul Houle
Cornell University Library's CommonSpot installation is scaled to meet the needs of over 21 unit libraries that publish more than 70 web sites. This talk, given at a Commonspot Show and Tell, describes our system, based on Solaris and Oracle, that serves many virtual hosts while providing for separate test and production environments.
Chris Ward - Understanding databases for distributed docker applications - No...NoSQLmatters
In this talk we'll focus on the use of Crate alongside Weave in Docker containers, the technical challenges, best practices learned, and getting a big data application running alongside it. You'll learn about the reasons why Crate.IO is building "yet another NoSQL database" and why it's unique and important when running web scale containerized applications. We'll show why the shared-nothing architecture is so important when deploying large clusters in containers and how it addresses the issues and fears of a Docker-based persistence layer. You will learn how to deploy a Crate cluster in the cloud within minutes using Docker, some of the challenges you'll encounter, and how to overcome them in order to scale your backends efficiently. We focused on super simple integration with any cloud provider, striving it to be as turnkey as possible with minimal up-front configuration required to establish a cluster. Once established, we'll show how to scale the cluster horizontally by simply adding more nodes. The session will also give you examples when you should use Crate compared to other similar technologies such as MongoDB, Hadoop, Cassandra or FoundationDB. We'll talk about this approach's strengths and what types of applications are well-suited for this type of data store, as well what is not. Finally we'll outline how to architect an application that is easy to scale using Crate and Docker.
Hadoop Meetup Jan 2019 - Mounting Remote Stores in HDFSErik Krogen
Virajith Jalaparti and Ashvin Agrawal of Microsoft present regarding their work to support mounting remote stores in HDFS. They show how HDFS can be used as a caching proxy to access remote stores such as ADLS and S3, enabling clients to be unaware of the location of their data, and increasing efficiency in the process.
This is taken from the Apache Hadoop Contributors Meetup on January 30, hosted by LinkedIn in Mountain View.
Redis in Practice: Scenarios, Performance and Practice with PHPChen Huang
Knowledge sharing about Redis, mainly focusing on:
Why to use Redis? Comparison of some in-memory storages and their scenarios
How to make Redis faster? Consider time complexity, communication latency and serialization
Practice of replication and sentinel in PHP
Redis is a NoSQL technology that rides a fine line between database and in-memory cache. Redis also offers "remote data structures", which gives it a significant advantage over other in-memory databases. This session will cover several PHP clients for Redis, and how to use them for caching, data modeling and generally improving application throughput.
Developing a Redis Module - Hackathon KickoffItamar Haber
Slides deck for kicking off Redis Labs' Modules Hackathon - https://www.hackerearth.com/sprints/redislabs-hackathon-global
Video of the webinar is at: https://youtu.be/LPxx4QPyUPw
After more than 5 years of doing this, I think I managed to capture the essence of the beast quite neatly. Here's what matters about Redis, the open source in-memory data structure store, IMO.
Redis Use Patterns (DevconTLV June 2014)Itamar Haber
An introduction to Redis for the SQL practitioner, covering data types and common use cases.
The video of this session can be found at: https://www.youtube.com/watch?v=8Unaug_vmFI
Here are the slides for my talk "An intro to Azure Data Lake" at Techorama NL 2018. The session was held on Tuesday October 2nd from 15:00 - 16:00 in room 7.
OpenNebulaConf2017EU: Hyper converged infrastructure with OpenNebula and Ceph...OpenNebula Project
Hyperconvergence is one of the big topics in datacenters at the moment. But is it more than an old wine in new bottles? Why we at Runtastic built an hyperconverged datacenter based on Opennebula with Ceph and what we learned.
YouTube: https://youtu.be/50Z4bmevTpg
Security regarding NoSQL Databases Still remain a question.Not much research done these databases,this paper concentrates on some of the major NoSQL databases and their flaws
Redis is not just a cache, Andrew Lavers, ConFoo Montreal 2020Andrew Lavers
A common misunderstanding about Redis is that it's just a cache, or that you should only store ephemeral data there. In this talk I hope to dispel that myth by sharing some non-cache Redis recipes. I'll talk about how Redis can be used to solve problems such as distributed locking, message queues, one time tokens, and rate limiting.
Target Leakage in Machine Learning (ODSC East 2020)Yuriy Guts
Target leakage is one of the most difficult problems in developing real-world machine learning models. Leakage occurs when the training data gets contaminated with information that will not be known at prediction time. Additionally, there can be multiple sources of leakage, from data collection and feature engineering to partitioning and model validation. As a result, even experienced data scientists can inadvertently introduce leaks and become overly optimistic about the performance of the models they deploy. In this talk, we will look through real-life examples of data leakage at different stages of the data science project lifecycle, and discuss various countermeasures and best practices for model validation.
A tremendous backlog of predictive modeling problems in the industry and short supply of trained data scientists have spiked interest in automation over the last few years. A new academic field, AutoML, has emerged. However, there is a significant gap between the topics that are academically interesting and automation capabilities that are necessary to solve real-world industrial problems end-to-end. An even greater challenge is enabling a non-expert to build a robust and trustworthy AI solution for their company. In this talk, we’ll discuss what an industry-grade AutoML system consists of and the scientific and engineering challenges of building it.
Target leakage is one of the most difficult problems in developing real-world machine learning models. Leakage occurs when the training data gets contaminated with information that will not be known at prediction time. Additionally, there can be multiple sources of leakage, from data collection and feature engineering to partitioning and model validation. As a result, even experienced data scientists can inadvertently introduce leaks and become overly optimistic about the performance of the models they deploy. In this talk, we will look through real-life examples of data leakage at different stages of the data science project lifecycle, and discuss various countermeasures and best practices for model validation.
Paraphrase detection is an academically challenging NLP problem of detecting whether multiple phrases have the same meaning. In this talk, we’ll go through the existing traditional and deep learning approaches for this task, and see how they apply in practice as a silver-winning solution to the popular Kaggle Quora Question Pairs competition.
[JEEConf 2015] Lessons from Building a Modern B2C System in ScalaYuriy Guts
Whenever a functional language is mentioned, everyone talks about typical applications like DSL, parsing, data mining, or scientific computing. But what about mainstream consumer-facing applications? Can you build your next project with Scala? What if your system must run in the cloud, on desktop computers, and on specialized hardware, can you still do it? We’ll share our experience of implementing such a system for a German fitness startup that utilized custom-built devices, biometrics, cross-platform integration, and, of course, Scala. We’ll discuss the challenges we ran into and pitfalls you can avoid when your team decides to go functional.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
5. LPUSH people Alice
[“Alice”]
LPUSH people Bob
[“Bob”, “Alice”]
RPUSH people Charlie
[“Bob”, “Alice”, “Charlie”]
EXPIRE people 120
COMMAND <arg0> <arg1> ... <argN>
6. using (IRedisNativeClient redisNativeClient = new RedisNativeClient())
{
redisNativeClient.LPush("lastVisitorIds", BitConverter.GetBytes(113));
redisNativeClient.LPush("lastVisitorIds", BitConverter.GetBytes(61));
redisNativeClient.LPush("lastVisitorIds", BitConverter.GetBytes(2481));
}
7. using (IRedisClient redisClient = new RedisClient())
{
var book = new Book()
{
Id = 5,
Author = new Author
{
Name = "Jeffrey Richter",
Biography = "Founder of Wintellect.",
},
Title = "CLR via C#",
PublishingDate = DateTime.Now,
};
var bookClient = redisClient.As<Book>();
bookClient.Store(book);
var book = bookClient.GetById(5);
}
8. • Session store
• Read cache, write-through cache
• Dynamically computed statistics and aggregates
• Publish/Subscribe channels
9.
10. • 2x Redis Servers (master + slave)
• 96 GB RAM each
• 60k RPS on average
http://stackexchange.com/performance