際際滷shows by User: alexeytokar9 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: alexeytokar9 / Mon, 14 Jan 2019 07:44:52 GMT 際際滷Share feed for 際際滷shows by User: alexeytokar9 Graph theory basics /slideshow/graph-theory-basics/127960382 graphtheory-190114074452
BFS for solving snakes & ladders min dice rolls problem]]>
BFS for solving snakes & ladders min dice rolls problem]]> Mon, 14 Jan 2019 07:44:52 GMT /slideshow/graph-theory-basics/127960382 alexeytokar9@slideshare.net(alexeytokar9) Graph theory basics alexeytokar9 BFS for solving snakes & ladders min dice rolls problem <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/graphtheory-190114074452-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> BFS for solving snakes &amp; ladders min dice rolls problem
Graph theory basics from Alexey Tokar
]]> 116 2 https://cdn.slidesharecdn.com/ss_thumbnails/graphtheory-190114074452-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Fantastic caches and where to find them /slideshow/fantastic-caches-and-where-to-find-them/127688508 fantasticcaches-190110121023
"Magical caches are terrorizing engineers. When engineers are afraid, they debug. Contain this, or itll mean refactoring." (c) The story of how an internal Hibernate cache can consume 99% of 30GiB of your application memory with just the addition of a single line of code. The way it was discovered and root cause analysis to prevent it in the future will be the topic of the talk.]]>
"Magical caches are terrorizing engineers. When engineers are afraid, they debug. Contain this, or itll mean refactoring." (c) The story of how an internal Hibernate cache can consume 99% of 30GiB of your application memory with just the addition of a single line of code. The way it was discovered and root cause analysis to prevent it in the future will be the topic of the talk.]]> Thu, 10 Jan 2019 12:10:23 GMT /slideshow/fantastic-caches-and-where-to-find-them/127688508 alexeytokar9@slideshare.net(alexeytokar9) Fantastic caches and where to find them alexeytokar9 "Magical caches are terrorizing engineers. When engineers are afraid, they debug. Contain this, or itll mean refactoring." (c) The story of how an internal Hibernate cache can consume 99% of 30GiB of your application memory with just the addition of a single line of code. The way it was discovered and root cause analysis to prevent it in the future will be the topic of the talk. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fantasticcaches-190110121023-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> &quot;Magical caches are terrorizing engineers. When engineers are afraid, they debug. Contain this, or itll mean refactoring.&quot; (c) The story of how an internal Hibernate cache can consume 99% of 30GiB of your application memory with just the addition of a single line of code. The way it was discovered and root cause analysis to prevent it in the future will be the topic of the talk.
Fantastic caches and where to find them from Alexey Tokar
]]> 99 2 https://cdn.slidesharecdn.com/ss_thumbnails/fantasticcaches-190110121023-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Conway's transformation /slideshow/conways-transformation/125499536 conwaystransformation-181210081420
The talk is about a real experience of organization transformation with 15 years old legacy monolith project into DevOps oriented, microservice-based modern company. On our way, we have grown from 40 to 80 engineers for the last two years. We have x20 increased delivery of the old main project and implemented CD for projects and processes.]]>
The talk is about a real experience of organization transformation with 15 years old legacy monolith project into DevOps oriented, microservice-based modern company. On our way, we have grown from 40 to 80 engineers for the last two years. We have x20 increased delivery of the old main project and implemented CD for projects and processes.]]> Mon, 10 Dec 2018 08:14:20 GMT /slideshow/conways-transformation/125499536 alexeytokar9@slideshare.net(alexeytokar9) Conway's transformation alexeytokar9 The talk is about a real experience of organization transformation with 15 years old legacy monolith project into DevOps oriented, microservice-based modern company. On our way, we have grown from 40 to 80 engineers for the last two years. We have x20 increased delivery of the old main project and implemented CD for projects and processes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/conwaystransformation-181210081420-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The talk is about a real experience of organization transformation with 15 years old legacy monolith project into DevOps oriented, microservice-based modern company. On our way, we have grown from 40 to 80 engineers for the last two years. We have x20 increased delivery of the old main project and implemented CD for projects and processes.
Conway's transformation from Alexey Tokar
]]> 98 2 https://cdn.slidesharecdn.com/ss_thumbnails/conwaystransformation-181210081420-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Bug prediction + sdlc automation /slideshow/bug-prediction-sdlc-automation-89629645/89629645 j8gwd7mfsh6wuio2ys5g-signature-161a2f39a5cbc752a95252387ec52d4d778cd0e520aa24d743e8d3b5cdf967a0-poli-180305073929
The talk is about a possibility of creation non-static code analyzer which will point a dev team to some unobvious bugs in the system based on machine learning technics. We will become acquainted with Weka the machine learning tool for exploratory development of the algorithm, also, we will take a closer look on basic algorithms for classification: Decision Trees, SVM and Naive Bayes classifier. Real life examples will show you how the development life cycle can be improved with AI technics]]>
The talk is about a possibility of creation non-static code analyzer which will point a dev team to some unobvious bugs in the system based on machine learning technics. We will become acquainted with Weka the machine learning tool for exploratory development of the algorithm, also, we will take a closer look on basic algorithms for classification: Decision Trees, SVM and Naive Bayes classifier. Real life examples will show you how the development life cycle can be improved with AI technics]]> Mon, 05 Mar 2018 07:39:29 GMT /slideshow/bug-prediction-sdlc-automation-89629645/89629645 alexeytokar9@slideshare.net(alexeytokar9) Bug prediction + sdlc automation alexeytokar9 The talk is about a possibility of creation non-static code analyzer which will point a dev team to some unobvious bugs in the system based on machine learning technics. We will become acquainted with Weka the machine learning tool for exploratory development of the algorithm, also, we will take a closer look on basic algorithms for classification: Decision Trees, SVM and Naive Bayes classifier. Real life examples will show you how the development life cycle can be improved with AI technics <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/j8gwd7mfsh6wuio2ys5g-signature-161a2f39a5cbc752a95252387ec52d4d778cd0e520aa24d743e8d3b5cdf967a0-poli-180305073929-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The talk is about a possibility of creation non-static code analyzer which will point a dev team to some unobvious bugs in the system based on machine learning technics. We will become acquainted with Weka the machine learning tool for exploratory development of the algorithm, also, we will take a closer look on basic algorithms for classification: Decision Trees, SVM and Naive Bayes classifier. Real life examples will show you how the development life cycle can be improved with AI technics
Bug prediction + sdlc automation from Alexey Tokar
]]> 181 1 https://cdn.slidesharecdn.com/ss_thumbnails/j8gwd7mfsh6wuio2ys5g-signature-161a2f39a5cbc752a95252387ec52d4d778cd0e520aa24d743e8d3b5cdf967a0-poli-180305073929-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Bots on guard of sdlc /slideshow/bots-on-guard-of-sdlc/82046208 2wgggjvrsyeksxj7zisy-signature-bd103ea262c6962b756225763a7682f26dde268df900c5a3393a04974262a1a0-poli-171114133233
One of the most boring thing in software development in large companies is following a bureaucracy. Tons of developers were melted down by that ruthless machine with its not always obvious rules. Thats why we decided to delegate all the boring work to machines instead of humans and the talk will cover the achieved results.]]>
One of the most boring thing in software development in large companies is following a bureaucracy. Tons of developers were melted down by that ruthless machine with its not always obvious rules. Thats why we decided to delegate all the boring work to machines instead of humans and the talk will cover the achieved results.]]> Tue, 14 Nov 2017 13:32:33 GMT /slideshow/bots-on-guard-of-sdlc/82046208 alexeytokar9@slideshare.net(alexeytokar9) Bots on guard of sdlc alexeytokar9 One of the most boring thing in software development in large companies is following a bureaucracy. Tons of developers were melted down by that ruthless machine with its not always obvious rules. Thats why we decided to delegate all the boring work to machines instead of humans and the talk will cover the achieved results. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2wgggjvrsyeksxj7zisy-signature-bd103ea262c6962b756225763a7682f26dde268df900c5a3393a04974262a1a0-poli-171114133233-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> One of the most boring thing in software development in large companies is following a bureaucracy. Tons of developers were melted down by that ruthless machine with its not always obvious rules. Thats why we decided to delegate all the boring work to machines instead of humans and the talk will cover the achieved results.
Bots on guard of sdlc from Alexey Tokar
]]> 326 2 https://cdn.slidesharecdn.com/ss_thumbnails/2wgggjvrsyeksxj7zisy-signature-bd103ea262c6962b756225763a7682f26dde268df900c5a3393a04974262a1a0-poli-171114133233-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Bug prediction based on your code history /slideshow/bug-prediction-based-on-your-code-history-81649418/81649418 5xlqgoiq1umru37t5aha-signature-efd3edfc4e67b68d44957780bee95d6d280b62917225af62afd15c8599795622-poli-171106084705
The talk is about a possibility of creation non-static code analyzer which will point a dev team to some unobvious bugs in the system based on machine learning technics. We will become acquainted with Weka the machine learning tool for exploratory development of the algorithm, also, we will take a closer look on basic algorithms for classification: Decision Trees, SVM and Naive Bayes classifier. Real life examples will show you how the development life cycle can be improved with AI technics.]]>
The talk is about a possibility of creation non-static code analyzer which will point a dev team to some unobvious bugs in the system based on machine learning technics. We will become acquainted with Weka the machine learning tool for exploratory development of the algorithm, also, we will take a closer look on basic algorithms for classification: Decision Trees, SVM and Naive Bayes classifier. Real life examples will show you how the development life cycle can be improved with AI technics.]]> Mon, 06 Nov 2017 08:47:05 GMT /slideshow/bug-prediction-based-on-your-code-history-81649418/81649418 alexeytokar9@slideshare.net(alexeytokar9) Bug prediction based on your code history alexeytokar9 The talk is about a possibility of creation non-static code analyzer which will point a dev team to some unobvious bugs in the system based on machine learning technics. We will become acquainted with Weka the machine learning tool for exploratory development of the algorithm, also, we will take a closer look on basic algorithms for classification: Decision Trees, SVM and Naive Bayes classifier. Real life examples will show you how the development life cycle can be improved with AI technics. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/5xlqgoiq1umru37t5aha-signature-efd3edfc4e67b68d44957780bee95d6d280b62917225af62afd15c8599795622-poli-171106084705-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The talk is about a possibility of creation non-static code analyzer which will point a dev team to some unobvious bugs in the system based on machine learning technics. We will become acquainted with Weka the machine learning tool for exploratory development of the algorithm, also, we will take a closer look on basic algorithms for classification: Decision Trees, SVM and Naive Bayes classifier. Real life examples will show you how the development life cycle can be improved with AI technics.
Bug prediction based on your code history from Alexey Tokar
]]> 400 1 https://cdn.slidesharecdn.com/ss_thumbnails/5xlqgoiq1umru37t5aha-signature-efd3edfc4e67b68d44957780bee95d6d280b62917225af62afd15c8599795622-poli-171106084705-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Extend your REST API /slideshow/extend-your-rest-api/67272877 wowjioecto7cub6inirr-signature-6dabd2070bb3c59bce7dd3cb5e98ce8710d6fe798842e7752b1eba9945ae012b-poli-161017072317
The talk will cover details of implementing modern API design for web-services. You will find differences in two main approaches: API Gateway for every single client and common API which tends to serve any client. Best practices from the world of REST API designing including but not limited to HATEoAS]]>
The talk will cover details of implementing modern API design for web-services. You will find differences in two main approaches: API Gateway for every single client and common API which tends to serve any client. Best practices from the world of REST API designing including but not limited to HATEoAS]]> Mon, 17 Oct 2016 07:23:17 GMT /slideshow/extend-your-rest-api/67272877 alexeytokar9@slideshare.net(alexeytokar9) Extend your REST API alexeytokar9 The talk will cover details of implementing modern API design for web-services. You will find differences in two main approaches: API Gateway for every single client and common API which tends to serve any client. Best practices from the world of REST API designing including but not limited to HATEoAS <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wowjioecto7cub6inirr-signature-6dabd2070bb3c59bce7dd3cb5e98ce8710d6fe798842e7752b1eba9945ae012b-poli-161017072317-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The talk will cover details of implementing modern API design for web-services. You will find differences in two main approaches: API Gateway for every single client and common API which tends to serve any client. Best practices from the world of REST API designing including but not limited to HATEoAS
Extend your REST API from Alexey Tokar
]]> 303 2 https://cdn.slidesharecdn.com/ss_thumbnails/wowjioecto7cub6inirr-signature-6dabd2070bb3c59bce7dd3cb5e98ce8710d6fe798842e7752b1eba9945ae012b-poli-161017072317-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 舒亶亳 亳亞仍仂从 于 仂亞亠 亠仆舒 /slideshow/ss-49357090/49357090 random-150613210240-lva1-app6891
亠亠从亳亶 仗仂亳从 于 仍仂于舒 亳从亳仂于舒仆仆仂亞仂 舒亰仄亠舒 JavaDay Lviv: https://youtu.be/G2zxxmF2iiA Grammarly meetup: https://youtu.be/2cSPe2ICiug]]>
亠亠从亳亶 仗仂亳从 于 仍仂于舒 亳从亳仂于舒仆仆仂亞仂 舒亰仄亠舒 JavaDay Lviv: https://youtu.be/G2zxxmF2iiA Grammarly meetup: https://youtu.be/2cSPe2ICiug]]> Sat, 13 Jun 2015 21:02:40 GMT /slideshow/ss-49357090/49357090 alexeytokar9@slideshare.net(alexeytokar9) 舒亶亳 亳亞仍仂从 于 仂亞亠 亠仆舒 alexeytokar9 亠亠从亳亶 仗仂亳从 于 仍仂于舒 亳从亳仂于舒仆仆仂亞仂 舒亰仄亠舒 JavaDay Lviv: https://youtu.be/G2zxxmF2iiA Grammarly meetup: https://youtu.be/2cSPe2ICiug <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/random-150613210240-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 亠亠从亳亶 仗仂亳从 于 仍仂于舒 亳从亳仂于舒仆仆仂亞仂 舒亰仄亠舒 JavaDay Lviv: https://youtu.be/G2zxxmF2iiA Grammarly meetup: https://youtu.be/2cSPe2ICiug
舒亶亳 亳亞仍仂从 于 仂亞亠 亠仆舒 from Alexey Tokar
]]> 818 3 https://cdn.slidesharecdn.com/ss_thumbnails/random-150613210240-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 MongoDB 于 仗仂亟舒从亠仆 - 仄亳 亳仍亳 亠舒仍仆仂? /alexeytokar9/mongodb-40110039 mongodb-141010070618-conversion-gate02
]]>
]]> Fri, 10 Oct 2014 07:06:18 GMT /alexeytokar9/mongodb-40110039 alexeytokar9@slideshare.net(alexeytokar9) MongoDB 于 仗仂亟舒从亠仆 - 仄亳 亳仍亳 亠舒仍仆仂? alexeytokar9 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mongodb-141010070618-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
MongoDB 于 仗仂亟舒从亠仆 - 仄亳 亳仍亳 亠舒仍仆仂? from Alexey Tokar
]]> 3377 2 https://cdn.slidesharecdn.com/ss_thumbnails/mongodb-141010070618-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 从仂亞亟舒 亠从 仆亠 仂仍从仂 仍仂于舒 /slideshow/ss-40109942/40109942 random-141010070343-conversion-gate02
https://youtu.be/b4wv-f_PqB8]]>
https://youtu.be/b4wv-f_PqB8]]> Fri, 10 Oct 2014 07:03:43 GMT /slideshow/ss-40109942/40109942 alexeytokar9@slideshare.net(alexeytokar9) 从仂亞亟舒 亠从 仆亠 仂仍从仂 仍仂于舒 alexeytokar9 https://youtu.be/b4wv-f_PqB8 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/random-141010070343-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> https://youtu.be/b4wv-f_PqB8
从仂亞亟舒 亠从 仆亠 仂仍从仂 仍仂于舒 from Alexey Tokar
]]> 287 1 https://cdn.slidesharecdn.com/ss_thumbnails/random-141010070343-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-alexeytokar9-48x48.jpg?cb=1611586775 Application Developer, Database Administrator in a wide variety of business applications. Particularly interested in software design and software development methodologies based on iterative development. Always seek the purity, flexibility and extensibility of code. Participates in the development of architectures of highload systems. * Speaker at JavaDay Kyiv 2014 (MongoDB in production) * Speaker at JavaDay Lviv 2015, JavaParty Kyiv 2015, Grammarly Meetup #23, SE2016 (fuzzy search in dictionaries) * Speaker at JavaDay Kyiv 2016 (One API to serve them all) * Speaker at JavaDay Kyiv 2017 (AI. Bug prediction) alexey.tokar.net.ua https://cdn.slidesharecdn.com/ss_thumbnails/graphtheory-190114074452-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/graph-theory-basics/127960382 Graph theory basics https://cdn.slidesharecdn.com/ss_thumbnails/fantasticcaches-190110121023-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/fantastic-caches-and-where-to-find-them/127688508 Fantastic caches and w... https://cdn.slidesharecdn.com/ss_thumbnails/conwaystransformation-181210081420-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/conways-transformation/125499536 Conway&#39;s transformation