The document discusses how Redis can be used for caching, storing time-series data, queuing, and other use cases. Redis has a simple string-based protocol that is fast and human-readable. It supports common data structures like strings, lists, and sets. Redis can be used to cache expensive function results, count page views over time, track unique visitors, and maintain queues.
OSDC 2019 | Tick Tock: What the heck is time-series data? by Tanay PantNETWAYS
The rise of IoT and smart infrastructure has led to the generation of massive amounts of complex data. In this session, we will talk about time-series data, the challenges of working with time series data, ingestion of this data using data from NYC cabs and running real time queries to gather insights. By the end of the session, we will have an understanding of what time-series data is, how to build streaming data pipelines for massive time series data using Flink, Kafka and CrateDB, and visualising all this data with the help of a dashboard.
Big Data Analytics with Google BigQuery, by Javier Ramirez, datawaki, at Span...javier ramirez
In this talk I explain why we decided to use BigQuery as our analytics backend in datawaki.com and teowaki.com
I describe the architecture of BigQuery, what you can do with it, and how other people are using it
Talk delivered at span conference (spanconf.io) in London, 2014
Presented by Scott Stults | OpenSource Connections. See conference video - http://www.lucidimagination.com/devzone/events/conferences/lucene-revolution-2012
Amazon Web Services offers a quick and easy way to build a scalable search platform, a flexibility is especially useful when an initial data load is required but the hardware is no longer needed for day-to-day searching and adding new documents. This presentation will cover one such approach capable of enlisting hundreds of worker nodes to ingest data, track their progress, and relinquish them back to the cloud when the job is done. The data set that will be discussed is the collection of published patent grants available through Google Patents. A single Solr instance can easily handle searching the roughly 1 million patents issued between 2010 and 2005, but up to 50 worker nodes were necessary to load that data in a reasonable amount of time. Also, the same basic approach was used to make three sizes of PNG thumbnails of the patent grant TIFF images. In that case 150 worker nodes were used to generate 1.6 Tb of data over the course of three days. In this session, attendees will learn how to leverage EC2 as a scalable indexer and tricks for using XSLT on very large XML documents.
OSDC 2019 | Tick Tock: What the heck is time-series data? by Tanay PantNETWAYS
The rise of IoT and smart infrastructure has led to the generation of massive amounts of complex data. In this session, we will talk about time-series data, the challenges of working with time series data, ingestion of this data using data from NYC cabs and running real time queries to gather insights. By the end of the session, we will have an understanding of what time-series data is, how to build streaming data pipelines for massive time series data using Flink, Kafka and CrateDB, and visualising all this data with the help of a dashboard.
Big Data Analytics with Google BigQuery, by Javier Ramirez, datawaki, at Span...javier ramirez
In this talk I explain why we decided to use BigQuery as our analytics backend in datawaki.com and teowaki.com
I describe the architecture of BigQuery, what you can do with it, and how other people are using it
Talk delivered at span conference (spanconf.io) in London, 2014
Presented by Scott Stults | OpenSource Connections. See conference video - http://www.lucidimagination.com/devzone/events/conferences/lucene-revolution-2012
Amazon Web Services offers a quick and easy way to build a scalable search platform, a flexibility is especially useful when an initial data load is required but the hardware is no longer needed for day-to-day searching and adding new documents. This presentation will cover one such approach capable of enlisting hundreds of worker nodes to ingest data, track their progress, and relinquish them back to the cloud when the job is done. The data set that will be discussed is the collection of published patent grants available through Google Patents. A single Solr instance can easily handle searching the roughly 1 million patents issued between 2010 and 2005, but up to 50 worker nodes were necessary to load that data in a reasonable amount of time. Also, the same basic approach was used to make three sizes of PNG thumbnails of the patent grant TIFF images. In that case 150 worker nodes were used to generate 1.6 Tb of data over the course of three days. In this session, attendees will learn how to leverage EC2 as a scalable indexer and tricks for using XSLT on very large XML documents.
Клуб путешествий Спортмастер! Дорогие коллеги, специально для Вас мы собрали лучшие предложения для организации личного отпуска. Мы рады предложить корпоративные условия бронирования пакетов перелет + отель со специальной скидкой для сотрудников Спортмастер.
REFLESS project top-level conference: Waldemar Martyniuk, Council of Europe's...REFLESS Project
REFLESS project top-level conference in Belgrade:
"Importance of languages, translation and interpretation for the future of Serbia in European Union".
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Клуб путешествий Спортмастер! Дорогие коллеги, специально для Вас мы собрали лучшие предложения для организации личного отпуска. Мы рады предложить корпоративные условия бронирования пакетов перелет + отель со специальной скидкой для сотрудников Спортмастер.
REFLESS project top-level conference: Waldemar Martyniuk, Council of Europe's...REFLESS Project
REFLESS project top-level conference in Belgrade:
"Importance of languages, translation and interpretation for the future of Serbia in European Union".
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
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/
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
REmote DIctionary Server
Shared variables on the network
Shared memory isn’t always bad
Dealing with locks is hard, Redis does that for you
Atomic operations through a single thread, fast as hell
Caching and queues are regular use cases but it’s capable of much more
Relevant now more than ever as microservices/SOA gains in popularity, distributed processes need ways to co-ordinate
This can be done via your regular SQL database but it is churn-heavy
Added load to the database is bad
Store intermediary results elsewhere
You will end up implementing many of Redis’ features
Much better to isolate it into a separate process/service
Also much superior to having an in-memory cache per machine as values only need to be cached once for the whole system, not once per server/process
Going to
Redis is a key-value store at heart
Key can have an expiry set
Value can be one of many types
cached function hasn't need to change
Key has to vary with parameters, namespacing is common
Problem with this is it can grow infinitely, need to think about expiring data
Expiry
LRU cache
Always set one when possible
Relative is useful for "rolling windows" as demonstrated or caching "good enough" results
Absolute useful for "valid until" things such as hourly or daily reports
Rarely use absolute, instead build the time period into the key and set a relative expiry
Namespacing of keys (again)
Small overhead but good for your sanity
Named keys are the exception, better to be absolute
Allows for composite reports much more easily
Implicitly moves last_hour forward at the boundary
Can set expiry for the current hour differently in code
For example current hour cache for 1 minute, past hour cache for 1 month
Base value type is a string
Keys are always a string
Only going to cover the core ones, there's a few more specialised data types
The most simple case
Both the key and the value are a string
Can be treated like an integer in some case which we'll cover, highly optimised operations
The value is a list of strings
Useful where order is important, building block for queue structures
The value is a unique set of strings
Useful where uniqueness is important, for example click tracking
Similar to a raw cache, but about avoiding work rather than knowing work
Can improve the performance
High-churn so not well suited to a database
If value lost not end of world
Conditional GET is special case of "touch"
Value doesn't really matter, the presence of key is what matters
Something has been done recently or is being done so don't duplicate work
Distributed locks are a special case of this, basic is usually sufficient
Often need short-lived values
Password
Value contains user ID
Expiry set to make link invalid
Delete key on use to make single-use
Access tokens
Value contains details to look up full authorization
Also expire after a time, use refresh token to get a new one
Voucher codes
Similar to password
Could store JSON as value for more complex relationships
No concept of storing an integer, but has specialised methods for treating them as such
More efficient when it comes to looking things up
Granularity matters for different periods of time
24 hours for minute-level
4 weeks for hour-level
Forever for day level
Pipelining
Saves multiple round trips, perfect in this case
MGET - multiple GET
GET for a non-existent key (in our case never called INCR) returns nil
Trivial to map this to a single int in code
MGET essentially is inlined GETs so effectively unlimited, danger of multiple O(1) operations hence another reason to split to sensible granularity to reduce size of array
Building block of a rate limiter, though you would probably expire more aggressively
Along a similar line to the time-series counter, but with uniqueness
Perfect for a Set
S prefix to commands
SADD deals with uniqueness on our behalf
SCARD - set cardinality (count)
Pipelining could be used to get multiple SCARDs like MGET
MGETs just a more common case so has a special command
Lists
Key is name of list, value is a string
Returns nil if list empty
Returns nil if list empty
Prioritisation
More efficient to wait for work
Should always have a timeout (seconds)
Can know the process is alive if nothing else
JSON
Can expire complex data structures too
Cached Fibonacci
Distributed processing - workers could simple print
- Could send an email or text message
Possibly respond to sending process via response queue