Submit Search
Upload
Spotify services - Leetspeak 2014
•
1 like
•
1,479 views
Niklas Gustavsson
Follow
Slide deck from my presentation at Leetspeak 2014 on how Spotify builds backend services.
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 29
Download now
Download to read offline
Recommended
Introduction to JAX-RS that I gave at Øredev 2009
Oredev 2009 JAX-RS
Oredev 2009 JAX-RS
Niklas Gustavsson
Slides from my SDC2009 presentation on JAX-RS.
REST made simple with Java
REST made simple with Java
Niklas Gustavsson
Spotify services (SDC 2013)
Spotify services (SDC 2013)
Niklas Gustavsson
Modern Software Architectures: Building Solutions for Web, Cloud, and Mobile
Modern Software Architectures: Building Solutions for Web, Cloud, and Mobile
Dan Mohl
Here is a presentation that covers modern software architecture styles and patterns such as microservices, CQRS and event sourcing.
Modern Software Architecture Styles and Patterns
Modern Software Architecture Styles and Patterns
Ganesh Samarthyam
Software Architecture Agile Modern
The Modern Software Architect
The Modern Software Architect
Niels Bech Nielsen
Slides from a talk I gave at Scandinavian Developers Conference 2012 on the architecture of Spotify. The slides follows a story of playing a track and the steps to get there.
Spotify architecture - Pressing play
Spotify architecture - Pressing play
Niklas Gustavsson
In this talk Emil Fredriksson and David Poblador i Garcia explain how Spotify builds its infrastructure in order to deliver millions of songs to millions of users. We explain how we manage to support our development teams to build features by developing a highly scalable infrastructure.
Spotify: Data center & Backend buildout
Spotify: Data center & Backend buildout
David Poblador i Garcia
Recommended
Introduction to JAX-RS that I gave at Øredev 2009
Oredev 2009 JAX-RS
Oredev 2009 JAX-RS
Niklas Gustavsson
Slides from my SDC2009 presentation on JAX-RS.
REST made simple with Java
REST made simple with Java
Niklas Gustavsson
Spotify services (SDC 2013)
Spotify services (SDC 2013)
Niklas Gustavsson
Modern Software Architectures: Building Solutions for Web, Cloud, and Mobile
Modern Software Architectures: Building Solutions for Web, Cloud, and Mobile
Dan Mohl
Here is a presentation that covers modern software architecture styles and patterns such as microservices, CQRS and event sourcing.
Modern Software Architecture Styles and Patterns
Modern Software Architecture Styles and Patterns
Ganesh Samarthyam
Software Architecture Agile Modern
The Modern Software Architect
The Modern Software Architect
Niels Bech Nielsen
Slides from a talk I gave at Scandinavian Developers Conference 2012 on the architecture of Spotify. The slides follows a story of playing a track and the steps to get there.
Spotify architecture - Pressing play
Spotify architecture - Pressing play
Niklas Gustavsson
In this talk Emil Fredriksson and David Poblador i Garcia explain how Spotify builds its infrastructure in order to deliver millions of songs to millions of users. We explain how we manage to support our development teams to build features by developing a highly scalable infrastructure.
Spotify: Data center & Backend buildout
Spotify: Data center & Backend buildout
David Poblador i Garcia
This slideshow walks through common and popular Architectural design patterns such as Data-Driven Architecture, Micro-Services, Layered Architecture, and Micro-Kernel Architecture. I also go over the pros and cons and in which scenario each architecture is preferable
Software Architecture Patterns
Software Architecture Patterns
Assaf Gannon
Big Data At Spotify
Big Data At Spotify
Adam Kawa
The presentation Spotify gave to the Remarkable group. Includes some user demographics and case studies. Information accurate in October 2011.
A Spotify Presentation - Case studies
A Spotify Presentation - Case studies
Emily Wilkinson
In this presentation I introduce various Machine Learning methods that we utilize for music recommendations and discovery at Spotify. Specifically, I focus on Implicit Matrix Factorization for Collaborative Filtering, how to implement a small scale version using python, numpy, and scipy, as well as how to scale up to 20 Million users and 24 Million songs using Hadoop and Spark.
Algorithmic Music Recommendations at Spotify
Algorithmic Music Recommendations at Spotify
Chris Johnson
Spotify uses a range of Machine Learning models to power its music recommendation features including the Discover page, Radio, and Related Artists. Due to the iterative nature of these models they are a natural fit to the Spark computation paradigm and suffer from the IO overhead incurred by Hadoop. In this talk, I review the ALS algorithm for Matrix Factorization with implicit feedback data and how we’ve scaled it up to handle 100s of Billions of data points using Scala, Breeze, and Spark.
Music Recommendations at Scale with Spark
Music Recommendations at Scale with Spark
Chris Johnson
Are you still building data pipelines with Java and Python? Are you curious about the current buzz in the Big Data community surrounding Scala as a data processing environment? In this talk I'll discuss how Spotify migrated its music recommendations pipeline from Python to Scala. I'll dive into the language specific features that make Scala the ideal candidate for big data processing as well as highlight the rich set of tools and APIs that we take advantage of to process music recommendations for our 50 Million active users including Scalding, Breeze, Kafka, Spark, Parquet, Driven and Zeppelin.
Scala Data Pipelines for Music Recommendations
Scala Data Pipelines for Music Recommendations
Chris Johnson
Interactive recommender systems enable the user to steer the received recommendations in the desired direction through explicit interaction with the system. In the larger ecosystem of recommender systems used on a website, it is positioned between a lean-back recommendation experience and an active search for a specific piece of content. Besides this aspect, we will discuss several parts that are especially important for interactive recommender systems, including the following: design of the user interface and its tight integration with the algorithm in the back-end; computational efficiency of the recommender algorithm; as well as choosing the right balance between exploiting the feedback from the user as to provide relevant recommendations, and enabling the user to explore the catalog and steer the recommendations in the desired direction. In particular, we will explore the field of interactive video and music recommendations and their application at Netflix and Spotify. We outline some of the user-experiences built, and discuss the approaches followed to tackle the various aspects of interactive recommendations. We present our insights from user studies and A/B tests. The tutorial targets researchers and practitioners in the field of recommender systems, and will give the participants a unique opportunity to learn about the various aspects of interactive recommender systems in the video and music domain. The tutorial assumes familiarity with the common methods of recommender systems.
Interactive Recommender Systems with Netflix and Spotify
Interactive Recommender Systems with Netflix and Spotify
Chris Johnson
Discover Weekly is a personalized mixtape of 30 highly personalized songs that's curated and delivered to Spotify's 75M active users every Monday. It's received high acclaim in the press and reached 1B streams within its first 10 weeks. In this slide deck we dive into the narrative of how Discover Weekly came to be, highlighting technical challenges, data driven development, and the Machine Learning models used to power our recommendations engine.
From Idea to Execution: Spotify's Discover Weekly
From Idea to Execution: Spotify's Discover Weekly
Chris Johnson
Orchestrate CEO Antony Falco, talks about the future of software development. Fast-track development and save 50-90% off your database costs. Sign up for a free Orchestrate account today: http://nodb.co/1wzT7Xj
Our Brave Modular Future
Our Brave Modular Future
Orchestrate
It's easy to say... Microservices! Reality is we need to learn and apply concepts coming from many disciplines like SOA, EDA and DDD just to name a few! Mix them with some ALM and technical processes around Packaging and Deploying... and maybe then you get a true Microservices solution.
Let's talk about... Microservices
Let's talk about... Microservices
Alessandro Giorgetti
Dr. Lorenz will discuss a seven-step process companies can follow to create connected solutions that enable much stronger and more direct relationships with customers. Using Xively customer case studies to illustrate the process, he will show attendees how to navigate the business and technical nuances inherent in building connected customer experiences via the IoT.
IoT Expo: 7 Steps to Business Success on the Internet of Things
IoT Expo: 7 Steps to Business Success on the Internet of Things
LogMeIn
Slide dell'evento organizzato da FEVR del 2020-06/24.
FEVR - Micro Frontend
FEVR - Micro Frontend
Miki Lombardi
Presentation @ CommConUK Video @ https://www.youtube.com/watch?v=qcSwmdbArvs
KITE Network Instrumentation: Advanced WebRTC Testing
KITE Network Instrumentation: Advanced WebRTC Testing
Alexandre Gouaillard
Seminar at the Materials Engineering Research Institute (Sheffield Hallam University)
Machine vision and device integration with the Ruby programming language (2008)
Machine vision and device integration with the Ruby programming language (2008)
Jan Wedekind
Overview of the HARE project looking at new models for operating systems services and application runtimes at the scale of thousands or millions of nodes.
Holistic Aggregate Resource Environment
Holistic Aggregate Resource Environment
Eric Van Hensbergen
Mohamed_Omar_Cv
Mohamed_Omar_Cv
Mohamed Elhamshary
This is the updated presentation I originally gave at the IA Summit on Mobile Strategy.
The Mobile Question @ Big Design 2010
The Mobile Question @ Big Design 2010
Jeremy Johnson
CV
CV
Marko Salonp
Slides for my architectural session at the event: Docker From Zero To Hero. We talked about what kind of expertises are need in order to build a true Microservices Solution; you'll need to understand some of the fundamentals on which Microservices is built upon: SOA, EDA and DDD just to name a few, then you can move to the container world. Original event link: https://www.eventbrite.it/e/biglietti-docker-from-zero-to-hero-83372825365#
Microservices Architecture
Microservices Architecture
Alessandro Giorgetti
Chris Richardson의 Microservice Pattern을 통해서 Microservice를 구현하면서 당면하는 문제 전체를 조망
Microservice Pattern Launguage
Microservice Pattern Launguage
Inho Kang
Finagle is an open-source, high-volume RPC client library, handling millions of QPS at companies like Twitter, Pinterest and Soundcloud. In this talk, we demonstrate how Finagle can be applied to Kubernetes applications via linkerd, an open-source, standalone Finagle proxy. By deploying linkerd as a sidecar container or with DaemonSets, we show how polyglot multi-service applications running in Kubernetes can be “wrapped” in Finagle’s operational model, adding connection pooling, load-balancing, failure detection, and failover mechanisms to existing applications with minimal code change. We demonstrate how linkerd communicates with the Kubernetes API and how the resulting systems perform under load and adverse conditions. Sched Link: http://sched.co/6BhW
KubeCon EU 2016: Kubernetes meets Finagle for Resilient Microservices
KubeCon EU 2016: Kubernetes meets Finagle for Resilient Microservices
KubeAcademy
This is a 40 minutes about introduction to Integration & Microservices and how companies are using and built their APIs for products integration and why? We will learn about integration concepts and APIs types by examples and discuss list of market products and discuss data transformation. Youtube Video by the end of presentation. https://youtu.be/WRM7SyX9HO4 Link https://wp.me/p8BMmp-mC
Integration & Microservices
Integration & Microservices
Amr Salah
More Related Content
Viewers also liked
This slideshow walks through common and popular Architectural design patterns such as Data-Driven Architecture, Micro-Services, Layered Architecture, and Micro-Kernel Architecture. I also go over the pros and cons and in which scenario each architecture is preferable
Software Architecture Patterns
Software Architecture Patterns
Assaf Gannon
Big Data At Spotify
Big Data At Spotify
Adam Kawa
The presentation Spotify gave to the Remarkable group. Includes some user demographics and case studies. Information accurate in October 2011.
A Spotify Presentation - Case studies
A Spotify Presentation - Case studies
Emily Wilkinson
In this presentation I introduce various Machine Learning methods that we utilize for music recommendations and discovery at Spotify. Specifically, I focus on Implicit Matrix Factorization for Collaborative Filtering, how to implement a small scale version using python, numpy, and scipy, as well as how to scale up to 20 Million users and 24 Million songs using Hadoop and Spark.
Algorithmic Music Recommendations at Spotify
Algorithmic Music Recommendations at Spotify
Chris Johnson
Spotify uses a range of Machine Learning models to power its music recommendation features including the Discover page, Radio, and Related Artists. Due to the iterative nature of these models they are a natural fit to the Spark computation paradigm and suffer from the IO overhead incurred by Hadoop. In this talk, I review the ALS algorithm for Matrix Factorization with implicit feedback data and how we’ve scaled it up to handle 100s of Billions of data points using Scala, Breeze, and Spark.
Music Recommendations at Scale with Spark
Music Recommendations at Scale with Spark
Chris Johnson
Are you still building data pipelines with Java and Python? Are you curious about the current buzz in the Big Data community surrounding Scala as a data processing environment? In this talk I'll discuss how Spotify migrated its music recommendations pipeline from Python to Scala. I'll dive into the language specific features that make Scala the ideal candidate for big data processing as well as highlight the rich set of tools and APIs that we take advantage of to process music recommendations for our 50 Million active users including Scalding, Breeze, Kafka, Spark, Parquet, Driven and Zeppelin.
Scala Data Pipelines for Music Recommendations
Scala Data Pipelines for Music Recommendations
Chris Johnson
Interactive recommender systems enable the user to steer the received recommendations in the desired direction through explicit interaction with the system. In the larger ecosystem of recommender systems used on a website, it is positioned between a lean-back recommendation experience and an active search for a specific piece of content. Besides this aspect, we will discuss several parts that are especially important for interactive recommender systems, including the following: design of the user interface and its tight integration with the algorithm in the back-end; computational efficiency of the recommender algorithm; as well as choosing the right balance between exploiting the feedback from the user as to provide relevant recommendations, and enabling the user to explore the catalog and steer the recommendations in the desired direction. In particular, we will explore the field of interactive video and music recommendations and their application at Netflix and Spotify. We outline some of the user-experiences built, and discuss the approaches followed to tackle the various aspects of interactive recommendations. We present our insights from user studies and A/B tests. The tutorial targets researchers and practitioners in the field of recommender systems, and will give the participants a unique opportunity to learn about the various aspects of interactive recommender systems in the video and music domain. The tutorial assumes familiarity with the common methods of recommender systems.
Interactive Recommender Systems with Netflix and Spotify
Interactive Recommender Systems with Netflix and Spotify
Chris Johnson
Discover Weekly is a personalized mixtape of 30 highly personalized songs that's curated and delivered to Spotify's 75M active users every Monday. It's received high acclaim in the press and reached 1B streams within its first 10 weeks. In this slide deck we dive into the narrative of how Discover Weekly came to be, highlighting technical challenges, data driven development, and the Machine Learning models used to power our recommendations engine.
From Idea to Execution: Spotify's Discover Weekly
From Idea to Execution: Spotify's Discover Weekly
Chris Johnson
Viewers also liked
(8)
Software Architecture Patterns
Software Architecture Patterns
Big Data At Spotify
Big Data At Spotify
A Spotify Presentation - Case studies
A Spotify Presentation - Case studies
Algorithmic Music Recommendations at Spotify
Algorithmic Music Recommendations at Spotify
Music Recommendations at Scale with Spark
Music Recommendations at Scale with Spark
Scala Data Pipelines for Music Recommendations
Scala Data Pipelines for Music Recommendations
Interactive Recommender Systems with Netflix and Spotify
Interactive Recommender Systems with Netflix and Spotify
From Idea to Execution: Spotify's Discover Weekly
From Idea to Execution: Spotify's Discover Weekly
Similar to Spotify services - Leetspeak 2014
Orchestrate CEO Antony Falco, talks about the future of software development. Fast-track development and save 50-90% off your database costs. Sign up for a free Orchestrate account today: http://nodb.co/1wzT7Xj
Our Brave Modular Future
Our Brave Modular Future
Orchestrate
It's easy to say... Microservices! Reality is we need to learn and apply concepts coming from many disciplines like SOA, EDA and DDD just to name a few! Mix them with some ALM and technical processes around Packaging and Deploying... and maybe then you get a true Microservices solution.
Let's talk about... Microservices
Let's talk about... Microservices
Alessandro Giorgetti
Dr. Lorenz will discuss a seven-step process companies can follow to create connected solutions that enable much stronger and more direct relationships with customers. Using Xively customer case studies to illustrate the process, he will show attendees how to navigate the business and technical nuances inherent in building connected customer experiences via the IoT.
IoT Expo: 7 Steps to Business Success on the Internet of Things
IoT Expo: 7 Steps to Business Success on the Internet of Things
LogMeIn
Slide dell'evento organizzato da FEVR del 2020-06/24.
FEVR - Micro Frontend
FEVR - Micro Frontend
Miki Lombardi
Presentation @ CommConUK Video @ https://www.youtube.com/watch?v=qcSwmdbArvs
KITE Network Instrumentation: Advanced WebRTC Testing
KITE Network Instrumentation: Advanced WebRTC Testing
Alexandre Gouaillard
Seminar at the Materials Engineering Research Institute (Sheffield Hallam University)
Machine vision and device integration with the Ruby programming language (2008)
Machine vision and device integration with the Ruby programming language (2008)
Jan Wedekind
Overview of the HARE project looking at new models for operating systems services and application runtimes at the scale of thousands or millions of nodes.
Holistic Aggregate Resource Environment
Holistic Aggregate Resource Environment
Eric Van Hensbergen
Mohamed_Omar_Cv
Mohamed_Omar_Cv
Mohamed Elhamshary
This is the updated presentation I originally gave at the IA Summit on Mobile Strategy.
The Mobile Question @ Big Design 2010
The Mobile Question @ Big Design 2010
Jeremy Johnson
CV
CV
Marko Salonp
Slides for my architectural session at the event: Docker From Zero To Hero. We talked about what kind of expertises are need in order to build a true Microservices Solution; you'll need to understand some of the fundamentals on which Microservices is built upon: SOA, EDA and DDD just to name a few, then you can move to the container world. Original event link: https://www.eventbrite.it/e/biglietti-docker-from-zero-to-hero-83372825365#
Microservices Architecture
Microservices Architecture
Alessandro Giorgetti
Chris Richardson의 Microservice Pattern을 통해서 Microservice를 구현하면서 당면하는 문제 전체를 조망
Microservice Pattern Launguage
Microservice Pattern Launguage
Inho Kang
Finagle is an open-source, high-volume RPC client library, handling millions of QPS at companies like Twitter, Pinterest and Soundcloud. In this talk, we demonstrate how Finagle can be applied to Kubernetes applications via linkerd, an open-source, standalone Finagle proxy. By deploying linkerd as a sidecar container or with DaemonSets, we show how polyglot multi-service applications running in Kubernetes can be “wrapped” in Finagle’s operational model, adding connection pooling, load-balancing, failure detection, and failover mechanisms to existing applications with minimal code change. We demonstrate how linkerd communicates with the Kubernetes API and how the resulting systems perform under load and adverse conditions. Sched Link: http://sched.co/6BhW
KubeCon EU 2016: Kubernetes meets Finagle for Resilient Microservices
KubeCon EU 2016: Kubernetes meets Finagle for Resilient Microservices
KubeAcademy
This is a 40 minutes about introduction to Integration & Microservices and how companies are using and built their APIs for products integration and why? We will learn about integration concepts and APIs types by examples and discuss list of market products and discuss data transformation. Youtube Video by the end of presentation. https://youtu.be/WRM7SyX9HO4 Link https://wp.me/p8BMmp-mC
Integration & Microservices
Integration & Microservices
Amr Salah
Career Domain for CSE
Career Domain 2022-23.pptx
Career Domain 2022-23.pptx
Janani S
AngularJS today is one of the most powerful, user-friendly and popular JS frameworks to work on web applications. Surprisingly, one of the main weaknesses of this framework is poorly structured documentation and the lack of ready-made solutions. In this report, we will try to work out the best approach to the organization of large and very large applications. We will also speak about the tools that will be useful at every stage of the application development and tools and practicesthat will help you to work in the continuous delivery mode.
Building scalable applications with angular js
Building scalable applications with angular js
Andrew Alpert
CV
Mohamed Said
Mohamed Said
Mohamed_Said2006
AkankshaSharma
AkankshaSharma
Akanksha Sharma
The latest issue of Ericsson Technology Review includes articles that shed light on important topics including the evolution of LTE to fit the 5G future; an overview of the latest developments in microwave backhaul; and how DevOps can be used to satisfy demands for faster turnaround in feature development. It also contains our annual technology trends article, in which I present what I believe are the five trends to watch in our industry in the years ahead, namely: an adaptable technology base, the dawn of true machine intelligence, end-to-end security and identity for IoT, an extended-distributed IoT platform, and overlaying reality with knowledge. I hope you find the contents of this issue of the magazine as thought-provoking as I do. All of the articles included here are also available individually on our website. Please feel free to share them via e-mail or social media.
Ericsson Technology Review - issue 2, 2017
Ericsson Technology Review - issue 2, 2017
Ericsson
This is presented at OSCON 2014 Conference. http://www.oscon.com/oscon2014/public/schedule/detail/37626
The Art of Tizen UI Theme Technology in Various Profiles (OSCON 2014)
The Art of Tizen UI Theme Technology in Various Profiles (OSCON 2014)
Daniel Juyung Seo
Similar to Spotify services - Leetspeak 2014
(20)
Our Brave Modular Future
Our Brave Modular Future
Let's talk about... Microservices
Let's talk about... Microservices
IoT Expo: 7 Steps to Business Success on the Internet of Things
IoT Expo: 7 Steps to Business Success on the Internet of Things
FEVR - Micro Frontend
FEVR - Micro Frontend
KITE Network Instrumentation: Advanced WebRTC Testing
KITE Network Instrumentation: Advanced WebRTC Testing
Machine vision and device integration with the Ruby programming language (2008)
Machine vision and device integration with the Ruby programming language (2008)
Holistic Aggregate Resource Environment
Holistic Aggregate Resource Environment
Mohamed_Omar_Cv
Mohamed_Omar_Cv
The Mobile Question @ Big Design 2010
The Mobile Question @ Big Design 2010
CV
CV
Microservices Architecture
Microservices Architecture
Microservice Pattern Launguage
Microservice Pattern Launguage
KubeCon EU 2016: Kubernetes meets Finagle for Resilient Microservices
KubeCon EU 2016: Kubernetes meets Finagle for Resilient Microservices
Integration & Microservices
Integration & Microservices
Career Domain 2022-23.pptx
Career Domain 2022-23.pptx
Building scalable applications with angular js
Building scalable applications with angular js
Mohamed Said
Mohamed Said
AkankshaSharma
AkankshaSharma
Ericsson Technology Review - issue 2, 2017
Ericsson Technology Review - issue 2, 2017
The Art of Tizen UI Theme Technology in Various Profiles (OSCON 2014)
The Art of Tizen UI Theme Technology in Various Profiles (OSCON 2014)
More from Niklas Gustavsson
Presentation from Cadec 2011 on technologies underpinning the real-time web.
Real-time web
Real-time web
Niklas Gustavsson
Presentation on REST principles and patterns held at Region Västra Götaland
RESTful web services
RESTful web services
Niklas Gustavsson
Introduction to NoSQL with some focus on Cassandra, CouchDB and Neo4j
Not only SQL
Not only SQL
Niklas Gustavsson
An introduction to HTML5, including a background of why it's needed and some of the major new features.
HTML5
HTML5
Niklas Gustavsson
A short presentation on some major trends in software development that is making the life as a programmer much more exciting.
The future is bright
The future is bright
Niklas Gustavsson
CADEC 2007 presentation on three major trends all embodied in CouchDB.
CouchDB
CouchDB
Niklas Gustavsson
Apachecon Eu 2008 Mina
Apachecon Eu 2008 Mina
Niklas Gustavsson
More from Niklas Gustavsson
(7)
Real-time web
Real-time web
RESTful web services
RESTful web services
Not only SQL
Not only SQL
HTML5
HTML5
The future is bright
The future is bright
CouchDB
CouchDB
Apachecon Eu 2008 Mina
Apachecon Eu 2008 Mina
Recently uploaded
Briefing the sora ai
Unleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leap
RishantSharmaFr
LECTURE 01 Introduction to Computers Computers in Society Components of a Computer Types of Computers Definition: “A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data” The word "computer" is derived from the Latin word "computare," which means "to calculate" Computers are used for Businesses Communication Entertainment Education Medical Field
Computer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to Computers
MairaAshraf6
Use of proper tools save both time & energy. It makes work energy, smooth, neat. A good knowledge about tools helps us to select the proper tools for using a particular job.
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
KOUSTAV SARKAR
This is my cheat sheet for the course Data Management.
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdf
JiananWang21
Saudi Arabia [ Abortion pills) Jeddah/riaydh/dammam/+918761049707☎️] cytotec tablets uses abortion pills 💊💊 How effective is the abortion pill? 💊💊 +918761049707) "Abortion pills in Jeddah" how to get cytotec tablets in Riyadh " Abortion pills in dammam*💊💊 The abortion pill is very effective. If you’re taking mifepristone and misoprostol, it depends on how far along the pregnancy is, and how many doses of medicine you take:💊💊 +918761049707) how to buy cytotec pills At 8 weeks pregnant or less, it works about 94-98% of the time. +918761049707[ 💊💊💊 At 8-9 weeks pregnant, it works about 94-96% of the time. +918761049707) At 9-10 weeks pregnant, it works about 91-93% of the time. +918761049707)💊💊 If you take an extra dose of misoprostol, it works about 99% of the time. At 10-11 weeks pregnant, it works about 87% of the time. +918761049707) If you take an extra dose of misoprostol, it works about 98% of the time. In general, taking both mifepristone and+918761049707 misoprostol works a bit better than taking misoprostol only. +918761049707 Taking misoprostol alone works to end the+918761049707 pregnancy about 85-95% of the time — depending on how far along the+918761049707 pregnancy is and how you take the medicine. +918761049707 The abortion pill usually works, but if it doesn’t, you can take more medicine or have an in-clinic abortion. +918761049707 When can I take the abortion pill?+918761049707 In general, you can have a medication abortion up to 77 days (11 weeks)+918761049707 after the first day of your last period. If it’s been 78 days or more since the first day of your last+918761049707period, you can have an in-clinic abortion to end your pregnancy.+918761049707 Why do people choose the abortion pill? Which kind of abortion you choose all depends on your personal+918761049707preference and situation. With+918761049707medication+918761049707 abortion, some people like that you don’t need to have a procedure in a doctor’s office. You can have your medication abortion on your own+918761049707schedule, at home or in another comfortable place that you choose.+918761049707 You get to decide who you want to be with during your abortion, or you can go it alone. Because+918761049707medication abortion is similar to a miscarriage, many people feel like it’s more “natural” and less invasive. And some+918761049707 people may not have an in-clinic abortion provider close by, so abortion pills are more available to+918761049707 them. +918761049707 Your doctor, nurse, or health center staff can help you decide which kind of abortion is best for you. More questions from patients: Saudi Arabia+918761049707 CYTOTEC Misoprostol Tablets. Misoprostol is a medication that can prevent stomach ulcers if you also take NSAID medications. It reduces the amount of acid in your stomach, which protects your stomach lining. The brand name of this medication is Cytotec®️.+918761049707) Unwanted Kit is a combination of two medicines, which is used for
Kuwait City MTP kit ((+919101817206)) Buy Abortion Pills Kuwait
Kuwait City MTP kit ((+919101817206)) Buy Abortion Pills Kuwait
jaanualu31
REFRIGERATION AND AIR CONDITIONING Vapour compression refrigeration cycle - working principle - Effect of super heat and sub cooling - performance calculations - working principle of vapour absorption system - ammonia - water, lithium bromide water systems (description only) - air conditioning system - types and working principles
Thermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - V
DineshKumar4165
+97470301568 Qatar THC Oil and weed in Qatar? Where can I get THC vape in Doha Qatar?WhatsApp +97470301568 Buy Weed, Cocaine, Heroin and Shrooms in France,Germany, Poland Serbia,Romania, Ukraine WhatsApp +97470301568 Buy Weed, Cocaine, Heroin and Shrooms in Dubai UAE Malaysia Oman Kuwait Bahrain Saudi Arabia Qatar Where can I get weed in Qatar? Where can I get THC vape in Doha Qatar?WhatsApp +97470301568 Buy Weed, Cocaine, Heroin and Shrooms in France,Germany, Poland Serbia,Romania, UkraineWhatsApp +97470301568 Buy Weed, Cocaine, Heroin and Shrooms in Dubai UAE Malaysia Oman Kuwait Bahrain Saudi Arabia Qatar WhatsApp+97470301568 WhatsApp +97470301568 Buy Weed, Cocaine, Heroin and Shrooms in Qatar Dubai UAE Malaysia Oman Kuwait Bahrain Saudi Arabia #Singapore #Jordan #Ireland, #Belgium, #United Kingdom, #Iceland, #*Portugal, Spain, China, Japan, Turkey, Canada United States, Morocco, France,Germany, Poland Serbia,Romania, Ukraine, and all countries United Arab Emirates . Our team has succesfully delivered in 26 different countries . All marijuana and Cocaine is double vacuum packed before shipping, making it completely odorless to ensure that it arrives safely to your door. Our distribution crew is expert at making packages that blend in with the rest of the mail. We have also put into place many other security measures to ensure the security of our customers. buy weed Dubai +97470301568buy Weed Qatar #Buy Weed Kuwait #Buy Weed Bahrain #Buy #Weed #Oman #Buy Weed UAE #Buy Weed Abu Dhabi @Buy Weed Doha Qatar #@Buy Weed Ajman #@Buy Weed Online #@Buy Weed UK #@Buy Weed Iceland #*@Buy Weed All Countries Below are the various strains of kush available ; buy hash and Weed in dubai,abu dhabi,sharjah where to buy weed in doha,where can i find weed in jeddah,Can I get weed delivered to Riyadh?,Buy weed Online Jeddah Saudi Arabia,Buy Weed and THC Cannabis Oil online ,QATAR , DOHA buy kush in DOHA , buy kush in DOHAWeed in QATAR # DOHA Buy Weed and THC Cannabis Oil online who delivers at your own location in Qatar Doha ,Kuwait ,Dubai including cannabis / weed,Where can I find weed in Dubai as a tourist?,Is marijuana allowed in Dubai ? How much is medical marijuana in Dubai ?Is weed legal in Dubai ?How to get marijuana in Saudi Arabia Do people in Saudi Arabia smoke weed ? Is Hash legal in Saudi Arabia ? Where is marijuana the most illegal?Can you get weed in Baku? Dubai, United Arab Emirates Canabis smokers - Dubai, Buy Marijuana Products Online in UAE Desertcart ships the Marijuana products in Dubai ,Abu Dhabi, Sharjah, Al Ain, Ajman and more cities in UAE. Get unlimited free shipping in 164+ countries Buy Weed Products Online in Saudi Arabia Order thc Weed in Saudi Arabia Order thc Weed in Saudi Arabia Order thc Weed in Saudi Arabia Order thc Weed in Saudi Arabia Buy Marijuana Saudi Arabia weed in jeddahis cbd legal in saudi arabia cali tins smoke in saudi arabia drug use saudi arabia Buy weed marijuana. White Widow OG #Kush Sensi Star x ak 47 Afghan
+97470301568>> buy weed in qatar,buy thc oil qatar,buy weed and vape oil in d...
+97470301568>> buy weed in qatar,buy thc oil qatar,buy weed and vape oil in d...
Health
“HOSTEL MANAGEMENT SYSTEM” is a software developed for managing various activities in the hostel. For the past few years the number of educational institutions are increasing rapidly. Thereby the number of hostels are also increasing for the accommodation of the students studying in this institution. And hence there is a lot of strain on the person who are running the hostel and software’s are not usually used in this context. This particular project deals with the problems on managing a hostel and avoids the problems which occur when carried manually.
Hostel management system project report..pdf
Hostel management system project report..pdf
Kamal Acharya
bgvgvvvvggvg
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
HenryBriggs2
DeepFakes
DeepFakes presentation : brief idea of DeepFakes
DeepFakes presentation : brief idea of DeepFakes
MayuraD1
Prehistoric built structures of Kerala, Topics from M.G University B.Arch syllabus 2019, Module III
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
SCMS School of Architecture
From customer value engagements to hands-on production support, our Services span across every stage of our customers digital transformation journey, to help ensure that every customer is successful in their adoption of our solutions. • Implementation, Upgrade, Migration, and Maintenance Services • On-Premises and On-Cloud • COTS Training Services; On-Site and Virtual • Software Support Services; Legacy and 3DEXPERIENCE • Value Engagement & Blueprinting • Specialized Consulting and Support Services • Customized Training Services • Automation and Configuration Services • Technical Resource Augmentation Services • Project Management • Know-how Training (mentoring) and Resource Augmentation
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Arindam Chakraborty, Ph.D., P.E. (CA, TX)
The purpose of Integrated Test Rig is to assess performance of Fuel Cooled Oil Cooler (FCOC), HP Pump & Oil Pump prior to fitment on Aero Engine. The design of rig is such that it can cater to individual testing of individual LRU or integrated testing of all the LRU’s installed together (in combination). The pumps under test shall be mounted directly on the high-speed electric motor flange through adapter quill shaft assembly. Variable speed drives shall be provided for all the pumps under testing. The rig shall cater for real time monitoring and recording of performance parameters. KEY FEATURES Key features of this Rig are as follows: - 1. It has separate power packs for both the fluids i.e. ATF Power pack for ATF Fluid, OX Power Pack for OX-27 Oil. 2. This Rig is designed for high temperature Application. It works on 200 deg. Celsius. 3. Two Dedicated heating systems have been integrated with this Rig to raise the temperature of OX-27 Oil. 4. In both Power Packs insulated tanks are being used, which is good for safe operation and safety of operator. 5. This rig is designed in such a way, that it’s OX power pack is in its left side, ATF Power pack is in right Side and test bed is in Centre. 6. A big Test bed have been provided for smooth testing of UUT’s. 7. All piping is being insulated for safe operation and maintenance. 8. It comprises with DAQ System. 9. This rig can test several components at a time, together or separately. Application All the UUT’s are mounted on HTFE-25 Engine after successful performance testing of those. Application of this Rig are as follows: - 1. One of its application is to test LP Pump of HTFE-25. It is designed for functional testing of LP Pump. a. Free Flow Test b. Load Test 2. It is used to test HP Pump of HTFE-25. It is designed for functional testing of HP Pump. a. Free Flow Test b. Load Test 3. It is used to test Oil Pump of HTFE-25. It is designed for functional testing of Oil Pump. 4. It is used to test FCOC of HTFE-25.
Integrated Test Rig For HTFE-25 - Neometrix
Integrated Test Rig For HTFE-25 - Neometrix
Neometrix_Engineering_Pvt_Ltd
The "Employee Leave Management System" has been developed to override the problems prevailing in the practicing manual system. This software is supported to eliminate and in some cases reduce the hardships faced by this existing system. More over this system is designed for the particular need of the company to carry out operations in a smooth and effective manner.
Employee leave management system project.
Employee leave management system project.
Kamal Acharya
detailed project report
2016EF22_0 solar project report rooftop projects
2016EF22_0 solar project report rooftop projects
smsksolar
MG University, B.Arch Semester 1&2, History of Architecture, Module III, Topic: Religious Architecture of Kerala - Temple Architecture of Kerala
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
SCMS School of Architecture
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
maisarahman1
About 8086 microprocessor minimum mode and maximum mode.
Minimum and Maximum Modes of microprocessor 8086
Minimum and Maximum Modes of microprocessor 8086
anil_gaur
Learn Thermodynamics on Magic Marks, an online learning platform that offers several high-quality video tutorials and study materials for engineering students- https://www.magicmarks.in/product/applied-thermodynamics-i/
Learn the concepts of Thermodynamics on Magic Marks
Learn the concepts of Thermodynamics on Magic Marks
Magic Marks
PEMESANAN OBAT ASLI : +6287776558899 Cara Menggugurkan Kandungan usia 1 , 2 , bulan - obat penggugur janin - cara aborsi kandungan - obat penggugur kandungan 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 bulan - bagaimana cara menggugurkan kandungan - tips Cara aborsi kandungan - trik Cara menggugurkan janin - Cara aman bagi ibu menyusui menggugurkan kandungan - klinik apotek jual obat penggugur kandungan - jamu PENGGUGUR KANDUNGAN - WAJIB TAU CARA ABORSI JANIN - GUGURKAN KANDUNGAN AMAN TANPA KURET - CARA Menggugurkan Kandungan tanpa efek samping - rekomendasi dokter obat herbal penggugur kandungan - ABORSI JANIN - aborsi kandungan - jamu herbal Penggugur kandungan - cara Menggugurkan Kandungan yang cacat - tata cara Menggugurkan Kandungan - obat penggugur kandungan di apotik kimia Farma - obat telat datang bulan - obat penggugur kandungan tuntas - obat penggugur kandungan alami - klinik aborsi janin gugurkan kandungan - ©Cytotec ™misoprostol BPOM - OBAT PENGGUGUR KANDUNGAN ®CYTOTEC - aborsi janin dengan pil ©Cytotec - ®Cytotec misoprostol® BPOM 100% - penjual obat penggugur kandungan asli - klinik jual obat aborsi janin - obat penggugur kandungan di klinik k-24 || obat penggugur ™Cytotec di apotek umum || ®CYTOTEC ASLI || obat ©Cytotec yang asli 200mcg || obat penggugur ASLI || pil Cytotec© tablet || cara gugurin kandungan || jual ®Cytotec 200mcg || dokter gugurkan kandungan || cara menggugurkan kandungan dengan cepat selesai dalam 24 jam secara alami buah buahan || usia kandungan 1_2 3_4 5_6 7_8 bulan masih bisa di gugurkan || obat penggugur kandungan ®cytotec dan gastrul || cara gugurkan pembuahan janin secara alami dan cepat || gugurkan kandungan || gugurin janin || cara Menggugurkan janin di luar nikah || contoh aborsi janin yang benar || contoh obat penggugur kandungan asli || contoh cara Menggugurkan Kandungan yang benar || telat haid || obat telat haid || Cara Alami gugurkan kehamilan || obat telat menstruasi || cara Menggugurkan janin anak haram || cara aborsi menggugurkan janin yang tidak berkembang || gugurkan kandungan dengan obat ©Cytotec || obat penggugur kandungan ™Cytotec 100% original || HARGA obat penggugur kandungan || obat telat haid 1 bulan || obat telat menstruasi 1-2 3-4 5-6 7-8 BULAN || obat telat datang bulan || cara Menggugurkan janin 1 bulan || cara Menggugurkan Kandungan yang masih 2 bulan || cara Menggugurkan Kandungan yang masih hitungan Minggu || cara Menggugurkan Kandungan yang masih usia 3 bulan || cara Menggugurkan usia kandungan 4 bulan || cara Menggugurkan janin usia 5 bulan || cara Menggugurkan kehamilan 6 Bulan ________&&&_________&&&_____________&&&_________&&&&____________ Cara Menggugurkan Kandungan Usia Janin 1 | 7 | 8 Bulan Dengan Cepat Dalam Hitungan Jam Secara Alami, Kami Siap Meneriman Pesanan Ke Seluruh Indonesia, Melputi: Ambon, Banda Aceh, Bandung, Banjarbaru, Batam, Bau-Bau, Bengkulu, Binjai, Blitar, Bontang, Cilegon, Cirebon, Depok, Gorontalo, Jakarta, Jayapura, Kendari, Kota Mobagu, Kupang, Lhokseumawe
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Kandungan 087776558899
Recently uploaded
(20)
Unleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leap
Computer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to Computers
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdf
Kuwait City MTP kit ((+919101817206)) Buy Abortion Pills Kuwait
Kuwait City MTP kit ((+919101817206)) Buy Abortion Pills Kuwait
Thermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - V
+97470301568>> buy weed in qatar,buy thc oil qatar,buy weed and vape oil in d...
+97470301568>> buy weed in qatar,buy thc oil qatar,buy weed and vape oil in d...
Hostel management system project report..pdf
Hostel management system project report..pdf
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
DeepFakes presentation : brief idea of DeepFakes
DeepFakes presentation : brief idea of DeepFakes
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Integrated Test Rig For HTFE-25 - Neometrix
Integrated Test Rig For HTFE-25 - Neometrix
Employee leave management system project.
Employee leave management system project.
2016EF22_0 solar project report rooftop projects
2016EF22_0 solar project report rooftop projects
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
Minimum and Maximum Modes of microprocessor 8086
Minimum and Maximum Modes of microprocessor 8086
Learn the concepts of Thermodynamics on Magic Marks
Learn the concepts of Thermodynamics on Magic Marks
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Spotify services - Leetspeak 2014
1.
Spo$fy'services
2.
ngn@spo'fy.com-@protocol7
3.
Microservices1*in*anger 1"h$p://mar+nfowler.com/ar+cles/microservices.html
4.
Why?
5.
Monoliths
6.
Simplicity Robustness
7.
Scalability
8.
UNIX%philosophy "Rule&of&Modularity:&Developers&should&build&a&program&out&of& simple&parts&connected&by&well&defined&interfaces,&so&problems&are&
local,&and&parts&of&the&program&can&be&replaced&in&future&versions&to& support&new&features.&This&rule&aims&to&save&@me&on&debugging& complex&code&that&is&complex,&long,&and&unreadable" —"Eric"S."Raymond,"The"Art"of"Unix"Programming
9.
Embrace(Conway's(law2 2"h$ps://labs.spo.fy.com/2014/03/27/spo.fy8engineering8culture8part81/
10.
What's'a'service?
11.
Let's&walk&a&request
12.
Perimeter'services
13.
14.
View%services
15.
Service'discovery
16.
$ dig _spotify-search._hm.lon3.spotify.net
SRV +short 5000 5000 8181 lon3-search-a1.lon3.spotify.net. 5000 5000 8181 lon3-search-a2.lon3.spotify.net. ...
17.
Data$services
18.
Orchestra)on
19.
Scaling(out
20.
Geographical,distribu2on3 3"h$ps://www.youtube.com/watch?v=JEpsKnWZrJ8
21.
Mul$site
22.
Failure(modes
23.
Failure(modes Cascading)failures
24.
Failure(modes Build&for&failure
25.
Failure(modes Drop%requests
26.
Infrastructure+automa.on
27.
Monitoring
28.
Outro
29.
Ques%ons ngn@spo'fy.com-@protocol7
Download now