�ݺ�ߣshows by User: davidgev

�ݺ�ߣshows by User: davidgev / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: davidgev / Fri, 26 Jun 2015 15:31:17 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: davidgev In pursuit of messaging broker(s) /slideshow/in-pursuit-of-messaging-brokers/49881431 inpursuitofmessagingbrokers-150626153117-lva1-app6891
Messaging Brokers are intrinsic part of our infrastructure and our experience with HornetQ has not been really great. We have experienced issues that forced us to perform restarts multiple times a day and sometimes they weren't sufficient to fix the issue and data cleanup was needed resulting in loss of important messages. Lack of documentation, lack of proper support and lack of stability of HornetQ broker are some of the reasons for looking into new Messaging Brokers. During this session I will present the path we have taken to Prioritize Features -> Compare Brokers -> Eliminate -> Benchmark and the findings together with recommendations. This task resulted in implementation of generic messaging broker benchmarking tool in Java, called Benchmark.io which we are intending to open source.]]>
Messaging Brokers are intrinsic part of our infrastructure and our experience with HornetQ has not been really great. We have experienced issues that forced us to perform restarts multiple times a day and sometimes they weren't sufficient to fix the issue and data cleanup was needed resulting in loss of important messages. Lack of documentation, lack of proper support and lack of stability of HornetQ broker are some of the reasons for looking into new Messaging Brokers. During this session I will present the path we have taken to Prioritize Features -> Compare Brokers -> Eliminate -> Benchmark and the findings together with recommendations. This task resulted in implementation of generic messaging broker benchmarking tool in Java, called Benchmark.io which we are intending to open source.]]> Fri, 26 Jun 2015 15:31:17 GMT /slideshow/in-pursuit-of-messaging-brokers/49881431 davidgev@slideshare.net(davidgev) In pursuit of messaging broker(s) davidgev Messaging Brokers are intrinsic part of our infrastructure and our experience with HornetQ has not been really great. We have experienced issues that forced us to perform restarts multiple times a day and sometimes they weren't sufficient to fix the issue and data cleanup was needed resulting in loss of important messages. Lack of documentation, lack of proper support and lack of stability of HornetQ broker are some of the reasons for looking into new Messaging Brokers. During this session I will present the path we have taken to Prioritize Features -> Compare Brokers -> Eliminate -> Benchmark and the findings together with recommendations. This task resulted in implementation of generic messaging broker benchmarking tool in Java, called Benchmark.io which we are intending to open source. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/inpursuitofmessagingbrokers-150626153117-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Messaging Brokers are intrinsic part of our infrastructure and our experience with HornetQ has not been really great. We have experienced issues that forced us to perform restarts multiple times a day and sometimes they weren't sufficient to fix the issue and data cleanup was needed resulting in loss of important messages. Lack of documentation, lack of proper support and lack of stability of HornetQ broker are some of the reasons for looking into new Messaging Brokers. During this session I will present the path we have taken to Prioritize Features -> Compare Brokers -> Eliminate -> Benchmark and the findings together with recommendations. This task resulted in implementation of generic messaging broker benchmarking tool in Java, called Benchmark.io which we are intending to open source.

In pursuit of messaging broker(s) from David Gevorkyan

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0 AUA Data Science Meetup /slideshow/aua-data-sciencemeetup/49043395 auadatasciencemeetup-150605165907-lva1-app6891
The slides cover Introduction to Big Data and Data Science, as well as go over our current and future projects @eHarmony. eHarmony was founded to give people a better chance to find happy, passionate and fulfilling relationships. During this talk I will describe steps that we go through to create Compatible matches and how we leverage Big Data technologies to accomplish that goal. I will specifically talk on how we take Billion+ potential matches that we find through MongoDB, store them in Voldemort NoSQL datastore and then run multiple Hadoop jobs to come up with filtered list based on Machine Learned models. Our hadoop clusters are in-house, high density, low power Seamicro installations and we use Spring Batch and Spring Data Hadoop to orchestrate the hadoop jobs. Did you know that eHarmony is responsible for 5% of all new US marriages and that more than 600,000 people already got married through us?]]>
The slides cover Introduction to Big Data and Data Science, as well as go over our current and future projects @eHarmony. eHarmony was founded to give people a better chance to find happy, passionate and fulfilling relationships. During this talk I will describe steps that we go through to create Compatible matches and how we leverage Big Data technologies to accomplish that goal. I will specifically talk on how we take Billion+ potential matches that we find through MongoDB, store them in Voldemort NoSQL datastore and then run multiple Hadoop jobs to come up with filtered list based on Machine Learned models. Our hadoop clusters are in-house, high density, low power Seamicro installations and we use Spring Batch and Spring Data Hadoop to orchestrate the hadoop jobs. Did you know that eHarmony is responsible for 5% of all new US marriages and that more than 600,000 people already got married through us?]]> Fri, 05 Jun 2015 16:59:07 GMT /slideshow/aua-data-sciencemeetup/49043395 davidgev@slideshare.net(davidgev) AUA Data Science Meetup davidgev The slides cover Introduction to Big Data and Data Science, as well as go over our current and future projects @eHarmony. eHarmony was founded to give people a better chance to find happy, passionate and fulfilling relationships. During this talk I will describe steps that we go through to create Compatible matches and how we leverage Big Data technologies to accomplish that goal. I will specifically talk on how we take Billion+ potential matches that we find through MongoDB, store them in Voldemort NoSQL datastore and then run multiple Hadoop jobs to come up with filtered list based on Machine Learned models. Our hadoop clusters are in-house, high density, low power Seamicro installations and we use Spring Batch and Spring Data Hadoop to orchestrate the hadoop jobs. Did you know that eHarmony is responsible for 5% of all new US marriages and that more than 600,000 people already got married through us? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/auadatasciencemeetup-150605165907-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> The slides cover Introduction to Big Data and Data Science, as well as go over our current and future projects @eHarmony. eHarmony was founded to give people a better chance to find happy, passionate and fulfilling relationships. During this talk I will describe steps that we go through to create Compatible matches and how we leverage Big Data technologies to accomplish that goal. I will specifically talk on how we take Billion+ potential matches that we find through MongoDB, store them in Voldemort NoSQL datastore and then run multiple Hadoop jobs to come up with filtered list based on Machine Learned models. Our hadoop clusters are in-house, high density, low power Seamicro installations and we use Spring Batch and Spring Data Hadoop to orchestrate the hadoop jobs. Did you know that eHarmony is responsible for 5% of all new US marriages and that more than 600,000 people already got married through us?

AUA Data Science Meetup from David Gevorkyan

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0 Intel Mashery API Management Solution /slideshow/intel-mashery-api-management-solution/44689220 intelmasheryapimanagement-150214234030-conversion-gate02
Mashery API Management Solution is complete SaaS-based product that can be deployed in the cloud, on-premise or hybrid. Some of the key features include traffic management, reporting and analytics. Mashery gives the power to negotiate custom access of API endpoints in a granular manner and can be integrated with OAuth authorization platforms. Filtering of the response content and automatic API documentation generation are some of the nice to have features of any public API, together with rate limiting and versioning and Mashery has all of it at your fingertip.]]>
Mashery API Management Solution is complete SaaS-based product that can be deployed in the cloud, on-premise or hybrid. Some of the key features include traffic management, reporting and analytics. Mashery gives the power to negotiate custom access of API endpoints in a granular manner and can be integrated with OAuth authorization platforms. Filtering of the response content and automatic API documentation generation are some of the nice to have features of any public API, together with rate limiting and versioning and Mashery has all of it at your fingertip.]]> Sat, 14 Feb 2015 23:40:30 GMT /slideshow/intel-mashery-api-management-solution/44689220 davidgev@slideshare.net(davidgev) Intel Mashery API Management Solution davidgev Mashery API Management Solution is complete SaaS-based product that can be deployed in the cloud, on-premise or hybrid. Some of the key features include traffic management, reporting and analytics. Mashery gives the power to negotiate custom access of API endpoints in a granular manner and can be integrated with OAuth authorization platforms. Filtering of the response content and automatic API documentation generation are some of the nice to have features of any public API, together with rate limiting and versioning and Mashery has all of it at your fingertip. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/intelmasheryapimanagement-150214234030-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Mashery API Management Solution is complete SaaS-based product that can be deployed in the cloud, on-premise or hybrid. Some of the key features include traffic management, reporting and analytics. Mashery gives the power to negotiate custom access of API endpoints in a granular manner and can be integrated with OAuth authorization platforms. Filtering of the response content and automatic API documentation generation are some of the nice to have features of any public API, together with rate limiting and versioning and Mashery has all of it at your fingertip.

Intel Mashery API Management Solution from David Gevorkyan

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0 https://cdn.slidesharecdn.com/profile-photo-davidgev-48x48.jpg?cb=1612386355 Principal Software Engineer and Tech Enthusiast specializing in design and development of high concurrency, performance critical applications. Enjoys architecting and developing data intensive distributed applications using cutting edge Web, SOA and Event Based technologies. Engineering software solutions employing enterprise Java, Spring framework suite, RESTful web services, Message-Based systems, ORMs, NoSQL databases, JVM based dynamic language platforms and Distributed-Computing technologies. Participant and speaker at conferences and meetup groups. https://www.david-gevorkyan.com/ https://cdn.slidesharecdn.com/ss_thumbnails/inpursuitofmessagingbrokers-150626153117-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/in-pursuit-of-messaging-brokers/49881431 In pursuit of messagin... https://cdn.slidesharecdn.com/ss_thumbnails/auadatasciencemeetup-150605165907-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/aua-data-sciencemeetup/49043395 AUA Data Science Meetup https://cdn.slidesharecdn.com/ss_thumbnails/intelmasheryapimanagement-150214234030-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/intel-mashery-api-management-solution/44689220 Intel Mashery API Mana...