Managing configurations for different kinds of nodes and cloud resources in a microservice architecture can be an operational nightmare, especially if not managed with the application codebase. CI and CD job environments often tend to stray from production configuration yielding their results unpredictable at best, or producing false positives in the worst case. Code pushes to staging and production can have unintended consequences which often can’t be inspected fully on a dry run.
This session will show you a toolchain and immutable infrastructure principles that will allow you to define your infrastructure in code versioned alongside your application code that will give you repeatable configuration, ephemeral testing environments, consistent CI/CD environments, and diffable dependency transparency all before pushing changes to production.
Find out how to build decentralized, fault-tolerant, stateful application services using core concepts and techniques from the Amazon Dynamo paper using riak_core as a toolkit.
Functional Operations (Functional Programming at Comcast Labs Connect)Susan Potter
Functional Operations: Packaging, system/configuration building, and testing infrastructure with [Nix] lambda
Maintaining configurations for different kinds of nodes and cloud resources in a [micro]service architecture can be an operational nightmare, especially if not managed with the application codebase. CI and CD job environments diverge from production configuration yielding their results unpredictable at best or produce false positives in the worst case. Code pushes to staging and production can have unintended consequences that can't be reasoned about before deploy and often can’t be inspected thoroughly on a dry run. Leading to unhappy users when problems do arise.
This session will demonstrate the use of the Nix and NixOS ecosystem to define and build packages in a referentially transparent way which can be leveraged as a solid foundation to configure systems and test multiple [virtual] machines with coordinated scenarios. We also look at how reliable packaging allows us to build a consistent CI/CD pipeline where upgrading your version of the JVM doesn't break your CI build servers for days.
From Zero To Production (NixOS, Erlang) @ Erlang Factory SF 2016Susan Potter
This talk will introduce the audience to the Nix packaging, NixOS, and related ecosystem tools for Erlang/Elixir developers.
By reviewing common development, testing, and deployment problems we will look at what Nix has to offer to aid Erlang/Elixir developers in these areas.
From seamless developer environment bootstrapping to consistent CI environments and beyond.
Новый InterSystems: open-source, митапы, хакатоныTimur Safin
Presentation for the 1st InterSystems Meetup in the Minsk:
- New and better InterSystems changes their practice.
- open-source repositories, meetups, and hackathon;
- CPM (package manager) as a good example of open-source project
Find out how to build decentralized, fault-tolerant, stateful application services using core concepts and techniques from the Amazon Dynamo paper using riak_core as a toolkit.
Functional Operations (Functional Programming at Comcast Labs Connect)Susan Potter
Functional Operations: Packaging, system/configuration building, and testing infrastructure with [Nix] lambda
Maintaining configurations for different kinds of nodes and cloud resources in a [micro]service architecture can be an operational nightmare, especially if not managed with the application codebase. CI and CD job environments diverge from production configuration yielding their results unpredictable at best or produce false positives in the worst case. Code pushes to staging and production can have unintended consequences that can't be reasoned about before deploy and often can’t be inspected thoroughly on a dry run. Leading to unhappy users when problems do arise.
This session will demonstrate the use of the Nix and NixOS ecosystem to define and build packages in a referentially transparent way which can be leveraged as a solid foundation to configure systems and test multiple [virtual] machines with coordinated scenarios. We also look at how reliable packaging allows us to build a consistent CI/CD pipeline where upgrading your version of the JVM doesn't break your CI build servers for days.
From Zero To Production (NixOS, Erlang) @ Erlang Factory SF 2016Susan Potter
This talk will introduce the audience to the Nix packaging, NixOS, and related ecosystem tools for Erlang/Elixir developers.
By reviewing common development, testing, and deployment problems we will look at what Nix has to offer to aid Erlang/Elixir developers in these areas.
From seamless developer environment bootstrapping to consistent CI environments and beyond.
Новый InterSystems: open-source, митапы, хакатоныTimur Safin
Presentation for the 1st InterSystems Meetup in the Minsk:
- New and better InterSystems changes their practice.
- open-source repositories, meetups, and hackathon;
- CPM (package manager) as a good example of open-source project
Droidcon Berlin 2021 - With coroutines being the de facto way of exposing async work and streams of changes for Kotlin on Android, developers are obviously attempting to use the same approaches when moving their code to Multiplatform.
But due to the way the memory model differs between JVM and Kotlin Native, it can be a painful experience.
In this talk, we will take a deep dive into the Coroutine API for Kotlin Multiplatform. You will learn how to expose your API with Coroutines while working with the Kotlin Native memory model instead of against it, and avoid the dragons along the way.
We'll discuss our experiences with tooling aimed at finding and fixing performance problems in a production Rust application, as experienced through the eyes of somebody who's more familiar with the Go ecosystem but grew to love Rust. We'll cover CPU and Heap profiling, and also briefly touch causal profiling.
Psycopg2 - Connect to PostgreSQL using Python ScriptSurvey Department
It's the presentation slides I prepared for my college workshop. This demonstrates how you can talk with PostgreSql db using python scripting.For queries, mail at dipeshsuwal@gmail.com
Building Distributed System with Celery on Docker Swarm - PyCon JP 2016Wei Lin
In this talk, the basic mechanisms of Celery and Docker-Swarm will be explained. With Docker-Swarm , a cluster was built upon two Raspberry Pi machines. Hadoop entry-level "Word Count" program could be re-written in Python and executed parallelly via Celery on the cluster. An example of distributed system modeling neural-network will also be explained.
Lua: the world's most infuriating languagejgrahamc
Slides from a talk I gave at the Lua London Meetup on October 17: "When first confronted with Lua an experienced programmer (like me!) finds themselves infuriated by the languages little differences and hopes that can dismiss it as not worth learning :-) Later they find themselves infuriated to learn that they can't dismiss it: Lua is just too fast, too useful and too flexible. This talk will look at my experience of learning Lua and using it to send a high-altitude balloon into the stratosphere and build CloudFlare's new low latency WAF."
Apache MXNet Distributed Training Explained In Depth by Viacheslav Kovalevsky...Big Data Spain
Distributed training is a complex process that does more harm than good if it not setup correctly.
https://www.bigdataspain.org/2017/talk/apache-mxnet-distributed-training-explained-in-depth
Big Data Spain 2017
November 16th - 17th Kinépolis Madrid
Dr. Hsieh is teaching how to use the state-of-the-art libraries, Spark by Apache, to conduct data analysis on hadoop platform in ISSNIP 2015, Singapore. He started with teaching the basic operations like “map, reduce, flatten, and more,” followed by explaining the extension of Spark, including MLib, GraphX, and SparkSQL.
In functional programming, words from Category Theory are thrown around, but how useful are they really?
This session looks at applications of monoids specifically and how using their algebraic properties offers a solid foundation of reasoning in many types of business domains and reduces developer error as computational context complexity increases.
This will provide a tiny peak at Category Theory's practical uses in software development and modeling. Code examples will be in Haskell and Scala, but monoids could be constructed in almost any language by software craftsmen and women utilizing higher orders of reasoning to their code.
Distributed Developer Workflows using GitSusan Potter
This meetup I will be walking the audience through how to setup, configure and maintain distributed development workflows using Git (the distributed VCS developers either love or hate). Much of the workflows suggested here will be applicable to other dVCSes like Mercurial, Darcs and Bazaar.
Droidcon Berlin 2021 - With coroutines being the de facto way of exposing async work and streams of changes for Kotlin on Android, developers are obviously attempting to use the same approaches when moving their code to Multiplatform.
But due to the way the memory model differs between JVM and Kotlin Native, it can be a painful experience.
In this talk, we will take a deep dive into the Coroutine API for Kotlin Multiplatform. You will learn how to expose your API with Coroutines while working with the Kotlin Native memory model instead of against it, and avoid the dragons along the way.
We'll discuss our experiences with tooling aimed at finding and fixing performance problems in a production Rust application, as experienced through the eyes of somebody who's more familiar with the Go ecosystem but grew to love Rust. We'll cover CPU and Heap profiling, and also briefly touch causal profiling.
Psycopg2 - Connect to PostgreSQL using Python ScriptSurvey Department
It's the presentation slides I prepared for my college workshop. This demonstrates how you can talk with PostgreSql db using python scripting.For queries, mail at dipeshsuwal@gmail.com
Building Distributed System with Celery on Docker Swarm - PyCon JP 2016Wei Lin
In this talk, the basic mechanisms of Celery and Docker-Swarm will be explained. With Docker-Swarm , a cluster was built upon two Raspberry Pi machines. Hadoop entry-level "Word Count" program could be re-written in Python and executed parallelly via Celery on the cluster. An example of distributed system modeling neural-network will also be explained.
Lua: the world's most infuriating languagejgrahamc
Slides from a talk I gave at the Lua London Meetup on October 17: "When first confronted with Lua an experienced programmer (like me!) finds themselves infuriated by the languages little differences and hopes that can dismiss it as not worth learning :-) Later they find themselves infuriated to learn that they can't dismiss it: Lua is just too fast, too useful and too flexible. This talk will look at my experience of learning Lua and using it to send a high-altitude balloon into the stratosphere and build CloudFlare's new low latency WAF."
Apache MXNet Distributed Training Explained In Depth by Viacheslav Kovalevsky...Big Data Spain
Distributed training is a complex process that does more harm than good if it not setup correctly.
https://www.bigdataspain.org/2017/talk/apache-mxnet-distributed-training-explained-in-depth
Big Data Spain 2017
November 16th - 17th Kinépolis Madrid
Dr. Hsieh is teaching how to use the state-of-the-art libraries, Spark by Apache, to conduct data analysis on hadoop platform in ISSNIP 2015, Singapore. He started with teaching the basic operations like “map, reduce, flatten, and more,” followed by explaining the extension of Spark, including MLib, GraphX, and SparkSQL.
In functional programming, words from Category Theory are thrown around, but how useful are they really?
This session looks at applications of monoids specifically and how using their algebraic properties offers a solid foundation of reasoning in many types of business domains and reduces developer error as computational context complexity increases.
This will provide a tiny peak at Category Theory's practical uses in software development and modeling. Code examples will be in Haskell and Scala, but monoids could be constructed in almost any language by software craftsmen and women utilizing higher orders of reasoning to their code.
Distributed Developer Workflows using GitSusan Potter
This meetup I will be walking the audience through how to setup, configure and maintain distributed development workflows using Git (the distributed VCS developers either love or hate). Much of the workflows suggested here will be applicable to other dVCSes like Mercurial, Darcs and Bazaar.
Free Monads are a powerful technique that can separate the representation of programs from the messy details of how they get run.
I'll go into the details of how they work, how to use them for fun and profit in your own code, and demonstrate a live Free Monad-driven tank game.
Supporting code at https://github.com/kenbot/free
Monads, also known as Kleisli triples in Category Theory, are an (endo-)functor together with two natural transformations, which are surprisingly useful in pure languages like Haskell, but this talk will NOT reference monads. Ever. (Well, at least not in this talk.)
Instead what I intend to impress upon an audience of newcomers to Haskell is the wide array of freely available libraries most of which are liberally licensed open source software, intuitive package management, practical build tools, reasonable documentation (when you know how to read it and where to find it), interactive shell (or REPL), mature compiler, stable runtime, testing tools that will blow your mind away, and a small but collaborative and knowledgeable community of developers. Oh, and some special features of Haskell - the language - too!
Modern Algorithms and Data Structures - 1. Bloom Filters, Merkle TreesLorenzo Alberton
The first part of a series of talks about modern algorithms and data structures, used by nosql databases like HBase and Cassandra. An explanation of Bloom Filters and several derivates, and Merkle Trees.
Discusses the algebraic properties of types, different kinds of functions and the information that is preserved or lost, and Category Theory concepts that underpin and unify them.
Graphs in the Database: Rdbms In The Social Networks AgeLorenzo Alberton
Despite the NoSQL movement trying to flag traditional databases as a dying breed, the RDBMS keeps evolving and adding new powerful weapons to its arsenal. In this talk we'll explore Common Table Expressions (SQL-99) and how SQL handles recursion, breaking the bi-dimensional barriers and paving the way to more complex data structures like trees and graphs, and how we can replicate features from social networks and recommendation systems. We'll also have a look at window functions (SQL:2003) and the advanced reporting features they make finally possible.
The ability to grow (and shrink) according to the needs and the available resources is an essential part of designing applications. In this talk we'll cover the fundamental elements of scalability, including aspects involving people, processes and technology. With sound and proven principles and some advice on how to shape your organisation, set the right processes and design your application, this session is a must-see for developers and technical leads alike.
NoSQL databases get a lot of press coverage, but there seems to be a lot of confusion surrounding them, as in which situations they work better than a Relational Database, and how to choose one over another. This talk will give an overview of the NoSQL landscape and a classification for the different architectural categories, clarifying the base concepts and the terminology, and will provide a comparison of the features, the strengths and the drawbacks of the most popular projects (CouchDB, MongoDB, Riak, Redis, Membase, Neo4j, Cassandra, HBase, Hypertable).
Monitoring at scale - Intuitive dashboard designLorenzo Alberton
At a certain scale, millions of events happen every second, and all of them are important to evaluate the health of the system. If not handled correctly, such a volume of information can overwhelm both the infrastructure that needs to support them, and people who have to make a sense out of thousands of signals and make decisions upon them, fast. By understanding how our rational mind works, how people process information, we can present data so it's more evident and intuitive. This talk will explain how to collect useful metrics, and to create the perfect monitoring dashboard to organise and display them, letting our intuition operate automatically and quickly, and saving attention and mental effort to activities that demand it.
Trees In The Database - Advanced data structuresLorenzo Alberton
Storing tree structures in a bi-dimensional table has always been problematic. The simplest tree models are usually quite inefficient, while more complex ones aren't necessarily better. In this talk I briefly go through the most used models (adjacency list, materialized path, nested sets) and introduce some more advanced ones belonging to the nested intervals family (Farey algorithm, Continued Fractions, and other encodings). I describe the advantages and pitfalls of each model, some proprietary solutions (e.g. Oracle's CONNECT BY) and one of the SQL Standard's upcoming features, Common Table Expressions.
Explains the basic concepts of Category Theory, useful terminology to help understand the literature, and why it's so relevant to software engineering.
Some examples and motivation for creating data structures from nothing but functions - Church Encoding! There's particular detail on how it can make free monads more efficient.
A bit of history, frustration-driven development, and why and how we started looking into Puppet at Opera Software. What we're doing, successes, pain points and what we're going to do with Puppet and Config Management next.
Our tech process, how we make apps using React Native on Gitlab with Gitlab CI (Continuous Integration) and CD (Continuous Delivery)
Reveal JS source on GitHub: https://github.com/Lingvokot/gitlab-and-lingvokot
Scylla Summit 2022: ScyllaDB Rust Driver: One Driver to Rule Them AllScyllaDB
The idea for implementing a brand new Rust driver for ScyllaDB emerged from an internal hackathon in 2020. The initial goal was to provide a native implementation of a CQL driver, fully compatible with Apache Cassandra™, but also contain a variety of Scylla-specific optimizations. The development was later continued as a Warsaw University project led by ScyllaDB.
Now it's an officially supported driver with excellent performance and a wide range of features. This session shares the design decisions taken in implementing the driver and its roadmap. It also presents a forward-thinking plan to unify other Scylla-specific drivers by translating them to bindings to our Rust driver, using work on our C++ driver as an example.
To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.
Burn down the silos! Helping dev and ops gel on high availability websitesLindsay Holmwood
HA websites are where the rubber meets the road - at 200km/h. Traditional separation of dev and ops just doesn't cut it.
Everything is related to everything. Code relies on performant and resilient infrastructure, but highly performant infrastructure will only get a poorly written application so far. Worse still, root cause analysis in HA sites will more often than not identify problems that don't clearly belong to either devs or ops.
The two options are collaborate or die.
This talk will introduce 3 core principles for improving collaboration between operations and development teams: consistency, repeatability, and visibility. These principles will be investigated with real world case studies and associated technologies audience members can start using now. In particular, there will be a focus on:
- fast provisioning of test environments with configuration management
- reliable and repeatable automated deployments
- application and infrastructure visibility with statistics collection, logging, and visualisation
Composer: putting dependencies on the scoreRafael Dohms
As PHP projects grow and mature so does their list of dependencies and third party code. Managing all these external packages during development and especially deploy is not an easy task and can be very error prone. Enter Composer, a tool that allows you to keep a consistent list of dependencies and versions across your whole team and all your environments, managing and making discovery of new libraries a breeze. Let's see how Composer can solve all your problems with a simple command line interface and a json configuration file.
ECMAScript 6 (ES6) is getting closer and closer with more support available in both node 0.12.0 and io.js. ES6 promises to fundamentally change the way we develop applications on node.js by allowing for the use of generators for iterators and a standard promises library for orchestrating our asynchronous calls. In this talk we will explore the implications of ES6 for the node driver and applications written on top of the driver.
Similar to From Zero to Application Delivery with NixOS (20)
When transitioning to functional programming as an already experienced developer in the imperative arts, one important skill fundamental to my technical maturity was thinking in terms of the properties of the systems I was building.
From modeling application domain constraints to testing distributed systems at scale in production, I found that thinking in properties can help you and your team build more sustainable systems.
Property-based testing provides a launchpad to discover and practice this mental model in your software development activities.
This session is for developers starting to exploit property-based testing from beginner to intermediate level and will:
- quickly review property-based testing
- identify common pitfalls with property-based testing alone
- suggest how to combine with other techniques and approaches to avoid their pitfalls
- illustrate think in properties so you can employ property-based “tests” at all phases of development
Limited exposure to the idea of property-based testing is desirable but not required. Code examples will be in Haskell.
Champaign-Urbana Javascript Meetup Talk (Jan 2020)Susan Potter
Using Purescript (which transpiles to Javascript), we look at how you can build an API over HTTP by describing our endpoints using expressive types that can be deployed as a simple Node process. With this approach we try to focus our development efforts on our business domain and logic as opposed to the plumbing.
Dynamically scaling a political news and activism hub (up to 5x the traffic i...Susan Potter
On any given day DailyKos can receive traffic peaks up to five times our base traffic, sometimes requiring us to scale out to double our backend app server capacity within a 10-20 minutes window (sometimes at unpredictable times). In this talk, Susan Potter will discuss DailyKos's use of autoscaling in EC2 from the essential components to some gotchas learned along the way.
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/
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!
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
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/
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.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
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).
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."
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
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/
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
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.
4. Agenda
1 Problem space
control infrastructure, consistently through reliability
2 Path to Reliability
how could we deploy more reliable configuration?
5. Agenda
1 Problem space
control infrastructure, consistently through reliability
2 Path to Reliability
how could we deploy more reliable configuration?
3 Nix* Solutions
common problems: dev envs, CI dependencies, deploys
7. Convergent Mayhem
1 Partial Definition
APT sources/YUM repos change OOB
2 Shared Mutable State
files modified in shared paths
8. Convergent Mayhem
1 Partial Definition
APT sources/YUM repos change OOB
2 Shared Mutable State
files modified in shared paths
3 Hopefully Converges
Resource expectation not always able to be met
9. Convergent Mayhem
1 Partial Definition
APT sources/YUM repos change OOB
2 Shared Mutable State
files modified in shared paths
3 Hopefully Converges
Resource expectation not always able to be met
4 Unreliable
11. Reliability
“Those who want really reliable software will discover that they must find
means of avoiding the majority of bugs to start with, and as a result the
programming process will become cheaper.”
14. Why care about reliability now?
1 Economic factors
large distributed deployments
15. Why care about reliability now?
1 Economic factors
large distributed deployments
2 Human factors
high churn/turnover, low quality of ops life
16. Why care about reliability now?
1 Economic factors
large distributed deployments
2 Human factors
high churn/turnover, low quality of ops life
3 Technological factors
programmable infrastructure & FP no longer just for academics
17. More Services
1 Currently 20-30 services
2 More services ready each month
3 Expect 50+ by end of year
4 Various stacks/runtimes
18. More Environments
1 Ephemeral (integration testing)
2 Product lines (consumer vs enterprise)
3 Performance
4 Partners
30. Functions have inputs (Scala)
object Functions {
// Two typed input arguments here
def add(x: Int , y: Int) = x + y
// One typed input argument here
def len(s: String) = s.size
}
31. Functions have inputs (Nix)
let
add = x: y: x + y;
len = s: builtins.stringLength s;
in {
inherit add len;
}
32. Functions have inputs
# Ruby
def add(x, y)
x + y
end
def len(s)
s.size
end
# JavaScript
function add(x, y) { return (x + y); }
function len(s) { return s.length; }
33. Packages have inputs (Nix)
# stdenv , fetchurl , gcc , help2man are
# (package) inputs to our hello package
{ stdenv , fetchurl , gcc , help2man }:
let
version = "2.1.1";
in stdenv.mkDerivation {
inherit version;
name = "hello -${version}";
src = fetchurl { ... };
# gcc and help2man are build deps
buildInputs = [ gcc help2man ];
}
34. Functions return a result
scala > add(5, 6)
res0: Int = 11
scala > len("Hello ,␣PhillyETE")
res1: Int = 16
39. Only depend on inputs
these derivations will be built:
/nix/store /19 x32rhqx ...mn80 -hello -2.1.1. drv
building path(s) /nix/store/v38 ...2 m58h -hello -2.1.1
unpacking sources
unpacking source archive /nix/store /...-hello -2.1.1. tar.gz
source root is hello -2.1.1
...
/nix /...-bash -.../ bash: help2man:
command not found
Makefile :282: recipe for target ‘hello .1’ failed
make [2]: *** [hello .1] Error 127
...
error: build of /nix /...n80 -hello -2.1.1. drv failed
40. Return same result given same inputs
scala > len("Hello ,␣PhillyETE")
res0: Int = 16
scala > len("Hello ,␣PhillyETE")
res1: Int = 16
scala > len("Hello ,␣PhillyETE")
res2: Int = 16
...
scala > len("Hello ,␣PhillyETE")
res3333333333: Int = 16
41. Return same result given same inputs
$ while true; do
nix -build
--arg stdenv "(import␣<nixpkgs >␣{}). stdenv"
--arg fetchurl "(import␣<nixpkgs >␣{}). fetchurl"
--arg gcc "(import␣<nixpkgs >␣{}). gcc"
--arg help2man "(import␣<nixpkgs >␣{}). help2man"
hello.nix
done
/nix/store/jg1l1kw ...sj -hello -2.1.1
/nix/store/jg1l1kw ...sj -hello -2.1.1
...
/nix/store/jg1l1kw ...sj -hello -2.1.1
^Cerror: interrupted by the user
65. Tradeoffs
• Provisioning not solved
Nixops expressiveness vs Terraform ‘coverage’
• Steep learning curve
Docs great reference, but bad for n00bs!
• Some upfront setup
Internal Nix channels vs nixpkgs fork curation
66. Benefits
• Repeatable dev envs
• Consistent CI
• Predictable deploys
• Real rollback support (machine-level)
70. InfraEng @ Lookout
# finger infraeng
Login: infraeng
Name: Infra Eng @ Lookout
Shell: /run/current -system/sw/bin/bash
Last login Mon Mar 11 14:10 (PST) on pts /10
* Multiple services in prod
* ~350 hosts monitored already
* Internal Nix channel
* Internal binary cache
* One repository per service
* Repository is source of truth
* We are hiring! Come talk to me. :)