際際滷shows by User: OndrejMihlyi / http://www.slideshare.net/images/logo.gif 際際滷shows by User: OndrejMihlyi / Thu, 16 Nov 2017 00:43:09 GMT 際際滷Share feed for 際際滷shows by User: OndrejMihlyi Easily scale enterprise applications using distributed data grids /slideshow/easily-scale-enterprise-applications-using-distributed-data-grids-82134362/82134362 devoxxma-171116004310
With the right tools, building scalable applications can be much easier than it seems. I want to show you the variety of options you get when you design applications around distributed data grids. They can become a backbone for building horizontally scalable applications, while at the same time providing flexible caching to scale up the performance vertically. Suddenly it will be possible to tweak the applications beyond what you would expect, with very little effort, often without even rebuilding the applications. Well analyze whats possible and how to do it, not only in theory but also demonstrating on an application based on Java EE, Hazelcast, and Node.js. In the end, youll understand the power of distributed data grids and how to use them efficiently to scale the applications in various scenarios, be it high-throughput, low-latency, microservice architecture and more.]]>

With the right tools, building scalable applications can be much easier than it seems. I want to show you the variety of options you get when you design applications around distributed data grids. They can become a backbone for building horizontally scalable applications, while at the same time providing flexible caching to scale up the performance vertically. Suddenly it will be possible to tweak the applications beyond what you would expect, with very little effort, often without even rebuilding the applications. Well analyze whats possible and how to do it, not only in theory but also demonstrating on an application based on Java EE, Hazelcast, and Node.js. In the end, youll understand the power of distributed data grids and how to use them efficiently to scale the applications in various scenarios, be it high-throughput, low-latency, microservice architecture and more.]]>
Thu, 16 Nov 2017 00:43:09 GMT /slideshow/easily-scale-enterprise-applications-using-distributed-data-grids-82134362/82134362 OndrejMihlyi@slideshare.net(OndrejMihlyi) Easily scale enterprise applications using distributed data grids OndrejMihlyi With the right tools, building scalable applications can be much easier than it seems. I want to show you the variety of options you get when you design applications around distributed data grids. They can become a backbone for building horizontally scalable applications, while at the same time providing flexible caching to scale up the performance vertically. Suddenly it will be possible to tweak the applications beyond what you would expect, with very little effort, often without even rebuilding the applications. Well analyze whats possible and how to do it, not only in theory but also demonstrating on an application based on Java EE, Hazelcast, and Node.js. In the end, youll understand the power of distributed data grids and how to use them efficiently to scale the applications in various scenarios, be it high-throughput, low-latency, microservice architecture and more. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/devoxxma-171116004310-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> With the right tools, building scalable applications can be much easier than it seems. I want to show you the variety of options you get when you design applications around distributed data grids. They can become a backbone for building horizontally scalable applications, while at the same time providing flexible caching to scale up the performance vertically. Suddenly it will be possible to tweak the applications beyond what you would expect, with very little effort, often without even rebuilding the applications. Well analyze whats possible and how to do it, not only in theory but also demonstrating on an application based on Java EE, Hazelcast, and Node.js. In the end, youll understand the power of distributed data grids and how to use them efficiently to scale the applications in various scenarios, be it high-throughput, low-latency, microservice architecture and more.
Easily scale enterprise applications using distributed data grids from Ondrej Mihlyi
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Elastic and Cloud-ready Applications with Payara Micro /slideshow/elastic-and-cloudready-applications-with-payara-micro/81997942 flexiblecloud-readyapps-171113174128
This session will explain how to build modern and scalable applications, while efficiently adding business value. With the right tools, technical decisions can be deferred and problems can be solved according to business needs instead. Payara Micro an open source MicroProfile-compatible runtime provides these tools in an easy-to-use package, allowing developers to focus on getting the job done. In addition, it can be connected using a standard API to Apache Kafka or Amazon SQS for high performance messaging. In this talk, youll learn how to create an architecture around all these tools to get as much flexibility as possible and be ready to deploy your applications into cloud. During a live demonstration, youll see how a Java EE application can benefit from dynamic clustering, MicroProfile API, distributed configuration and scalable cache built into the Payara Micro runtime.]]>

This session will explain how to build modern and scalable applications, while efficiently adding business value. With the right tools, technical decisions can be deferred and problems can be solved according to business needs instead. Payara Micro an open source MicroProfile-compatible runtime provides these tools in an easy-to-use package, allowing developers to focus on getting the job done. In addition, it can be connected using a standard API to Apache Kafka or Amazon SQS for high performance messaging. In this talk, youll learn how to create an architecture around all these tools to get as much flexibility as possible and be ready to deploy your applications into cloud. During a live demonstration, youll see how a Java EE application can benefit from dynamic clustering, MicroProfile API, distributed configuration and scalable cache built into the Payara Micro runtime.]]>
Mon, 13 Nov 2017 17:41:27 GMT /slideshow/elastic-and-cloudready-applications-with-payara-micro/81997942 OndrejMihlyi@slideshare.net(OndrejMihlyi) Elastic and Cloud-ready Applications with Payara Micro OndrejMihlyi This session will explain how to build modern and scalable applications, while efficiently adding business value. With the right tools, technical decisions can be deferred and problems can be solved according to business needs instead. Payara Micro an open source MicroProfile-compatible runtime provides these tools in an easy-to-use package, allowing developers to focus on getting the job done. In addition, it can be connected using a standard API to Apache Kafka or Amazon SQS for high performance messaging. In this talk, youll learn how to create an architecture around all these tools to get as much flexibility as possible and be ready to deploy your applications into cloud. During a live demonstration, youll see how a Java EE application can benefit from dynamic clustering, MicroProfile API, distributed configuration and scalable cache built into the Payara Micro runtime. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/flexiblecloud-readyapps-171113174128-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This session will explain how to build modern and scalable applications, while efficiently adding business value. With the right tools, technical decisions can be deferred and problems can be solved according to business needs instead. Payara Micro an open source MicroProfile-compatible runtime provides these tools in an easy-to-use package, allowing developers to focus on getting the job done. In addition, it can be connected using a standard API to Apache Kafka or Amazon SQS for high performance messaging. In this talk, youll learn how to create an architecture around all these tools to get as much flexibility as possible and be ready to deploy your applications into cloud. During a live demonstration, youll see how a Java EE application can benefit from dynamic clustering, MicroProfile API, distributed configuration and scalable cache built into the Payara Micro runtime.
Elastic and Cloud-ready Applications with Payara Micro from Ondrej Mihlyi
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Bed con - MicroProfile: A Quest for a lightweight and reactive Enterprise Java Platform /slideshow/bed-con-microprofile-a-quest-for-a-lightweight-and-reactive-enterprise-java-platform/80056700 bed-con-questforjavaee-170922130403
際際滷s from the talk given at the BED conference in Berlin 2017. Do you still think that Java EE is heavy-weight, cumbersome and doesnt keep up with modern trends? Ill show you that there are already production-ready enterprise and opensource solutions to bring more flexibility than the traditional Java EE servers from the past. They strive to provide lightweight and extensible runtimes to power microservices, cloud deployments and reactive architectures already. Their individual efforts are naturally followed by an open collaboration within the MicroProfile project. I invite you to join the adventure with me and follow the quest for a new generation enterprise Java platform. We will explore what has happened recently in the world of enterprise Java and the features already provided by some interesting open-source projects. Afterward, we will discover what the Eclipse MicroProfile project is, what it can bring to you, and how you can influence it. As a core contributor in the MicroProfile project, I'll provide details about how to get started and what to expect in the near future, all illustrated by live coding and demonstrations. ]]>

際際滷s from the talk given at the BED conference in Berlin 2017. Do you still think that Java EE is heavy-weight, cumbersome and doesnt keep up with modern trends? Ill show you that there are already production-ready enterprise and opensource solutions to bring more flexibility than the traditional Java EE servers from the past. They strive to provide lightweight and extensible runtimes to power microservices, cloud deployments and reactive architectures already. Their individual efforts are naturally followed by an open collaboration within the MicroProfile project. I invite you to join the adventure with me and follow the quest for a new generation enterprise Java platform. We will explore what has happened recently in the world of enterprise Java and the features already provided by some interesting open-source projects. Afterward, we will discover what the Eclipse MicroProfile project is, what it can bring to you, and how you can influence it. As a core contributor in the MicroProfile project, I'll provide details about how to get started and what to expect in the near future, all illustrated by live coding and demonstrations. ]]>
Fri, 22 Sep 2017 13:04:02 GMT /slideshow/bed-con-microprofile-a-quest-for-a-lightweight-and-reactive-enterprise-java-platform/80056700 OndrejMihlyi@slideshare.net(OndrejMihlyi) Bed con - MicroProfile: A Quest for a lightweight and reactive Enterprise Java Platform OndrejMihlyi 際際滷s from the talk given at the BED conference in Berlin 2017. Do you still think that Java EE is heavy-weight, cumbersome and doesnt keep up with modern trends? Ill show you that there are already production-ready enterprise and opensource solutions to bring more flexibility than the traditional Java EE servers from the past. They strive to provide lightweight and extensible runtimes to power microservices, cloud deployments and reactive architectures already. Their individual efforts are naturally followed by an open collaboration within the MicroProfile project. I invite you to join the adventure with me and follow the quest for a new generation enterprise Java platform. We will explore what has happened recently in the world of enterprise Java and the features already provided by some interesting open-source projects. Afterward, we will discover what the Eclipse MicroProfile project is, what it can bring to you, and how you can influence it. As a core contributor in the MicroProfile project, I'll provide details about how to get started and what to expect in the near future, all illustrated by live coding and demonstrations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bed-con-questforjavaee-170922130403-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 際際滷s from the talk given at the BED conference in Berlin 2017. Do you still think that Java EE is heavy-weight, cumbersome and doesnt keep up with modern trends? Ill show you that there are already production-ready enterprise and opensource solutions to bring more flexibility than the traditional Java EE servers from the past. They strive to provide lightweight and extensible runtimes to power microservices, cloud deployments and reactive architectures already. Their individual efforts are naturally followed by an open collaboration within the MicroProfile project. I invite you to join the adventure with me and follow the quest for a new generation enterprise Java platform. We will explore what has happened recently in the world of enterprise Java and the features already provided by some interesting open-source projects. Afterward, we will discover what the Eclipse MicroProfile project is, what it can bring to you, and how you can influence it. As a core contributor in the MicroProfile project, I&#39;ll provide details about how to get started and what to expect in the near future, all illustrated by live coding and demonstrations.
Bed con - MicroProfile: A Quest for a lightweight and reactive Enterprise Java Platform from Ondrej Mihlyi
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Easily scale enterprise applications using distributed data grids /slideshow/easily-scale-enterprise-applications-using-distributed-data-grids/77225277 slides-170624095059
Presented at JPrime conference 2017 (jprime.io) With the right tools, building scalable applications can be much easier than it seems. I want to show you the variety of options you get when you design applications around distributed data grids. They can become a backbone for building horizontally scalable applications, while at the same time providing flexible caching to scale up the performance vertically. Suddenly it will be possible to tweak the applications beyond what you would expect, with very little effort, often without even rebuilding the applications. Well analyze whats possible and how to do it, not only in theory but also demonstrating on an application based on Java EE, Hazelcast, and Node.js. In the end, youll understand the power of distributed data grids and how to use them efficiently to scale the applications in various scenarios, be it high-throughput, low-latency, microservice architecture and more. Source code: https://github.com/OndrejM-demonstrations/scaling-with-datagrids Article about flexible clustering: http://blog.payara.fish/flexible-clustering-with-payara-server Hazelcast: hazelcast.com, hazelcast.org Payara: payara.fish, payara.org]]>

Presented at JPrime conference 2017 (jprime.io) With the right tools, building scalable applications can be much easier than it seems. I want to show you the variety of options you get when you design applications around distributed data grids. They can become a backbone for building horizontally scalable applications, while at the same time providing flexible caching to scale up the performance vertically. Suddenly it will be possible to tweak the applications beyond what you would expect, with very little effort, often without even rebuilding the applications. Well analyze whats possible and how to do it, not only in theory but also demonstrating on an application based on Java EE, Hazelcast, and Node.js. In the end, youll understand the power of distributed data grids and how to use them efficiently to scale the applications in various scenarios, be it high-throughput, low-latency, microservice architecture and more. Source code: https://github.com/OndrejM-demonstrations/scaling-with-datagrids Article about flexible clustering: http://blog.payara.fish/flexible-clustering-with-payara-server Hazelcast: hazelcast.com, hazelcast.org Payara: payara.fish, payara.org]]>
Sat, 24 Jun 2017 09:50:59 GMT /slideshow/easily-scale-enterprise-applications-using-distributed-data-grids/77225277 OndrejMihlyi@slideshare.net(OndrejMihlyi) Easily scale enterprise applications using distributed data grids OndrejMihlyi Presented at JPrime conference 2017 (jprime.io) With the right tools, building scalable applications can be much easier than it seems. I want to show you the variety of options you get when you design applications around distributed data grids. They can become a backbone for building horizontally scalable applications, while at the same time providing flexible caching to scale up the performance vertically. Suddenly it will be possible to tweak the applications beyond what you would expect, with very little effort, often without even rebuilding the applications. Well analyze whats possible and how to do it, not only in theory but also demonstrating on an application based on Java EE, Hazelcast, and Node.js. In the end, youll understand the power of distributed data grids and how to use them efficiently to scale the applications in various scenarios, be it high-throughput, low-latency, microservice architecture and more. Source code: https://github.com/OndrejM-demonstrations/scaling-with-datagrids Article about flexible clustering: http://blog.payara.fish/flexible-clustering-with-payara-server Hazelcast: hazelcast.com, hazelcast.org Payara: payara.fish, payara.org <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slides-170624095059-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented at JPrime conference 2017 (jprime.io) With the right tools, building scalable applications can be much easier than it seems. I want to show you the variety of options you get when you design applications around distributed data grids. They can become a backbone for building horizontally scalable applications, while at the same time providing flexible caching to scale up the performance vertically. Suddenly it will be possible to tweak the applications beyond what you would expect, with very little effort, often without even rebuilding the applications. Well analyze whats possible and how to do it, not only in theory but also demonstrating on an application based on Java EE, Hazelcast, and Node.js. In the end, youll understand the power of distributed data grids and how to use them efficiently to scale the applications in various scenarios, be it high-throughput, low-latency, microservice architecture and more. Source code: https://github.com/OndrejM-demonstrations/scaling-with-datagrids Article about flexible clustering: http://blog.payara.fish/flexible-clustering-with-payara-server Hazelcast: hazelcast.com, hazelcast.org Payara: payara.fish, payara.org
Easily scale enterprise applications using distributed data grids from Ondrej Mihlyi
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How to bake_reactive_behavior_into_your_java_ee_applications /slideshow/how-to-bakereactivebehaviorintoyourjavaeeapplications-73245443/73245443 howtobakereactivebehaviorintoyourjavaeeapplications-170317091128
Java EE je modern鱈 framework, kter箪 poskytuje velkou podporu pro vytv叩en鱈 reaktivn鱈ch aplikac鱈. V nejnovj邸鱈 verzi pin叩邸鱈 ve spojen鱈 s Java 8 je邸t v鱈ce asynchronn鱈ho API pro ulehen鱈 jejich v箪voje. Nkter辿 implementace Java EE, vetn Payara Micro, jdou je邸t d叩l a poskytuj鱈 roz邸鱈en鱈 pro je邸t leh鱈 psan鱈 a nasazen鱈 vysoce 邸k叩lovateln箪ch aplikac鱈. Na pedn叩邸ce bude p鱈bl鱈転eno jak 邸ikovn vyu転鱈t v邸ech tchto mo転nost鱈 pi tvorb reaktivn鱈ho k坦du a na co si d叩t pozor pi vn叩邸en鱈 reaktivn鱈ch prvk哲 do existuj鱈c鱈ch aplikac鱈. Na z叩vr bude pedvedeno demo vyu転it鱈 mo転nost鱈 Payara Micro runtime pi nasazen鱈 reaktivn鱈 aplikace slo転en辿 z nkolika microservice komponent. Predn叩邸an辿 na CZJUG Zl鱈n: http://srazy.info/czjug-zlin-reaktivni-programovani-s-java-ee/7113]]>

Java EE je modern鱈 framework, kter箪 poskytuje velkou podporu pro vytv叩en鱈 reaktivn鱈ch aplikac鱈. V nejnovj邸鱈 verzi pin叩邸鱈 ve spojen鱈 s Java 8 je邸t v鱈ce asynchronn鱈ho API pro ulehen鱈 jejich v箪voje. Nkter辿 implementace Java EE, vetn Payara Micro, jdou je邸t d叩l a poskytuj鱈 roz邸鱈en鱈 pro je邸t leh鱈 psan鱈 a nasazen鱈 vysoce 邸k叩lovateln箪ch aplikac鱈. Na pedn叩邸ce bude p鱈bl鱈転eno jak 邸ikovn vyu転鱈t v邸ech tchto mo転nost鱈 pi tvorb reaktivn鱈ho k坦du a na co si d叩t pozor pi vn叩邸en鱈 reaktivn鱈ch prvk哲 do existuj鱈c鱈ch aplikac鱈. Na z叩vr bude pedvedeno demo vyu転it鱈 mo転nost鱈 Payara Micro runtime pi nasazen鱈 reaktivn鱈 aplikace slo転en辿 z nkolika microservice komponent. Predn叩邸an辿 na CZJUG Zl鱈n: http://srazy.info/czjug-zlin-reaktivni-programovani-s-java-ee/7113]]>
Fri, 17 Mar 2017 09:11:28 GMT /slideshow/how-to-bakereactivebehaviorintoyourjavaeeapplications-73245443/73245443 OndrejMihlyi@slideshare.net(OndrejMihlyi) How to bake_reactive_behavior_into_your_java_ee_applications OndrejMihlyi Java EE je modern鱈 framework, kter箪 poskytuje velkou podporu pro vytv叩en鱈 reaktivn鱈ch aplikac鱈. V nejnovj邸鱈 verzi pin叩邸鱈 ve spojen鱈 s Java 8 je邸t v鱈ce asynchronn鱈ho API pro ulehen鱈 jejich v箪voje. Nkter辿 implementace Java EE, vetn Payara Micro, jdou je邸t d叩l a poskytuj鱈 roz邸鱈en鱈 pro je邸t leh鱈 psan鱈 a nasazen鱈 vysoce 邸k叩lovateln箪ch aplikac鱈. Na pedn叩邸ce bude p鱈bl鱈転eno jak 邸ikovn vyu転鱈t v邸ech tchto mo転nost鱈 pi tvorb reaktivn鱈ho k坦du a na co si d叩t pozor pi vn叩邸en鱈 reaktivn鱈ch prvk哲 do existuj鱈c鱈ch aplikac鱈. Na z叩vr bude pedvedeno demo vyu転it鱈 mo転nost鱈 Payara Micro runtime pi nasazen鱈 reaktivn鱈 aplikace slo転en辿 z nkolika microservice komponent. Predn叩邸an辿 na CZJUG Zl鱈n: http://srazy.info/czjug-zlin-reaktivni-programovani-s-java-ee/7113 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howtobakereactivebehaviorintoyourjavaeeapplications-170317091128-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Java EE je modern鱈 framework, kter箪 poskytuje velkou podporu pro vytv叩en鱈 reaktivn鱈ch aplikac鱈. V nejnovj邸鱈 verzi pin叩邸鱈 ve spojen鱈 s Java 8 je邸t v鱈ce asynchronn鱈ho API pro ulehen鱈 jejich v箪voje. Nkter辿 implementace Java EE, vetn Payara Micro, jdou je邸t d叩l a poskytuj鱈 roz邸鱈en鱈 pro je邸t leh鱈 psan鱈 a nasazen鱈 vysoce 邸k叩lovateln箪ch aplikac鱈. Na pedn叩邸ce bude p鱈bl鱈転eno jak 邸ikovn vyu転鱈t v邸ech tchto mo転nost鱈 pi tvorb reaktivn鱈ho k坦du a na co si d叩t pozor pi vn叩邸en鱈 reaktivn鱈ch prvk哲 do existuj鱈c鱈ch aplikac鱈. Na z叩vr bude pedvedeno demo vyu転it鱈 mo転nost鱈 Payara Micro runtime pi nasazen鱈 reaktivn鱈 aplikace slo転en辿 z nkolika microservice komponent. Predn叩邸an辿 na CZJUG Zl鱈n: http://srazy.info/czjug-zlin-reaktivni-programovani-s-java-ee/7113
How to bake_reactive_behavior_into_your_java_ee_applications from Ondrej Mihlyi
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How to bake reactive behavior into your Java EE applications /slideshow/how-to-bakereactivebehaviorintoyourjavaeeapplications/69187922 howtobakereactivebehaviorintoyourjavaeeapplications-161117131431
You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. Presented at Java2Days 2016 in Sofia. Sources on github: https://github.com/OndrejM-demonstrations/Reactive-CargoTracker]]>

You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. Presented at Java2Days 2016 in Sofia. Sources on github: https://github.com/OndrejM-demonstrations/Reactive-CargoTracker]]>
Thu, 17 Nov 2016 13:14:31 GMT /slideshow/how-to-bakereactivebehaviorintoyourjavaeeapplications/69187922 OndrejMihlyi@slideshare.net(OndrejMihlyi) How to bake reactive behavior into your Java EE applications OndrejMihlyi You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. Presented at Java2Days 2016 in Sofia. Sources on github: https://github.com/OndrejM-demonstrations/Reactive-CargoTracker <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howtobakereactivebehaviorintoyourjavaeeapplications-161117131431-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. Presented at Java2Days 2016 in Sofia. Sources on github: https://github.com/OndrejM-demonstrations/Reactive-CargoTracker
How to bake reactive behavior into your Java EE applications from Ondrej Mihlyi
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How to bake reactive behavior into your Java EE applications /slideshow/how-to-bake-reactive-behavior-into-your-java-ee-applications-67571202/67571202 jddhowtobakereactivebehaviorintoyourjavaeeapplications-161024084718
You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. Source code in github: https://github.com/OndrejM-demonstrations/Reactive-CargoTracker]]>

You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. Source code in github: https://github.com/OndrejM-demonstrations/Reactive-CargoTracker]]>
Mon, 24 Oct 2016 08:47:18 GMT /slideshow/how-to-bake-reactive-behavior-into-your-java-ee-applications-67571202/67571202 OndrejMihlyi@slideshare.net(OndrejMihlyi) How to bake reactive behavior into your Java EE applications OndrejMihlyi You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. Source code in github: https://github.com/OndrejM-demonstrations/Reactive-CargoTracker <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jddhowtobakereactivebehaviorintoyourjavaeeapplications-161024084718-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. Source code in github: https://github.com/OndrejM-demonstrations/Reactive-CargoTracker
How to bake reactive behavior into your Java EE applications from Ondrej Mihlyi
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How to bake reactive behavior into your Java EE applications /slideshow/how-to-bake-reactive-behavior-into-your-java-ee-applications-67570150/67570150 howtobakereactivebehaviorintoyourjavaeeapplications-161024081546
You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. As presented at GeeCON Prague 2016. Almost the same slides used at JDD Krakow 2016 and CZJUG Hradec Kralove.]]>

You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. As presented at GeeCON Prague 2016. Almost the same slides used at JDD Krakow 2016 and CZJUG Hradec Kralove.]]>
Mon, 24 Oct 2016 08:15:46 GMT /slideshow/how-to-bake-reactive-behavior-into-your-java-ee-applications-67570150/67570150 OndrejMihlyi@slideshare.net(OndrejMihlyi) How to bake reactive behavior into your Java EE applications OndrejMihlyi You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. As presented at GeeCON Prague 2016. Almost the same slides used at JDD Krakow 2016 and CZJUG Hradec Kralove. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howtobakereactivebehaviorintoyourjavaeeapplications-161024081546-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> You will witness that Java EE is a modern and evolving framework and youll learn how it supports reactive concepts by many examples and live demonstration. The latest version of Java EE together with Java 8 add even more asynchronous API to write fully reactive applications. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in a natural way. As presented at GeeCON Prague 2016. Almost the same slides used at JDD Krakow 2016 and CZJUG Hradec Kralove.
How to bake reactive behavior into your Java EE applications from Ondrej Mihlyi
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How to bake reactive behavior into your Java EE applications /slideshow/how-to-bake-reactive-behavior-into-your-java-ee-applications/64454230 reactivejavaeepdf-160727230409
Reactive applications are flexible and robust. Reactive programming is already an established concept and there are many modern frameworks and tools which support it. You need to understand the concept in order to build truly reactive applications. But you do not need to switch from what you already know to build them. With standard Java EE you have wide range of options to add reactive behavior to new and even existing applications. Java EE is a modern and evolving framework, which supports reactive concepts. The latest versions of JDK and Java EE add even more asynchronous API to write fully reactive applications. On top of asynchronous processing in servlets, REST services and EJBs, there is asynchronous IO, managed multithreading and CompletableFuture with its promise足-like API to tackle callback hell. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in natural way.]]>

Reactive applications are flexible and robust. Reactive programming is already an established concept and there are many modern frameworks and tools which support it. You need to understand the concept in order to build truly reactive applications. But you do not need to switch from what you already know to build them. With standard Java EE you have wide range of options to add reactive behavior to new and even existing applications. Java EE is a modern and evolving framework, which supports reactive concepts. The latest versions of JDK and Java EE add even more asynchronous API to write fully reactive applications. On top of asynchronous processing in servlets, REST services and EJBs, there is asynchronous IO, managed multithreading and CompletableFuture with its promise足-like API to tackle callback hell. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in natural way.]]>
Wed, 27 Jul 2016 23:04:09 GMT /slideshow/how-to-bake-reactive-behavior-into-your-java-ee-applications/64454230 OndrejMihlyi@slideshare.net(OndrejMihlyi) How to bake reactive behavior into your Java EE applications OndrejMihlyi Reactive applications are flexible and robust. Reactive programming is already an established concept and there are many modern frameworks and tools which support it. You need to understand the concept in order to build truly reactive applications. But you do not need to switch from what you already know to build them. With standard Java EE you have wide range of options to add reactive behavior to new and even existing applications. Java EE is a modern and evolving framework, which supports reactive concepts. The latest versions of JDK and Java EE add even more asynchronous API to write fully reactive applications. On top of asynchronous processing in servlets, REST services and EJBs, there is asynchronous IO, managed multithreading and CompletableFuture with its promise足-like API to tackle callback hell. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in natural way. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/reactivejavaeepdf-160727230409-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Reactive applications are flexible and robust. Reactive programming is already an established concept and there are many modern frameworks and tools which support it. You need to understand the concept in order to build truly reactive applications. But you do not need to switch from what you already know to build them. With standard Java EE you have wide range of options to add reactive behavior to new and even existing applications. Java EE is a modern and evolving framework, which supports reactive concepts. The latest versions of JDK and Java EE add even more asynchronous API to write fully reactive applications. On top of asynchronous processing in servlets, REST services and EJBs, there is asynchronous IO, managed multithreading and CompletableFuture with its promise足-like API to tackle callback hell. Several Java EE implementations, like Payara Micro, go even further and provide extensions to scale your applications in natural way.
How to bake reactive behavior into your Java EE applications from Ondrej Mihlyi
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Business layer and transactions /slideshow/business-layer-and-transactions/55604558 04businesslayerandtransactions-151128145525-lva1-app6891
Fourth lecture in Java EE training series. Contains: - Multilayered application architecture - Enterprise Java Beans - Transaction creation and handling - Java EE architectural patterns]]>

Fourth lecture in Java EE training series. Contains: - Multilayered application architecture - Enterprise Java Beans - Transaction creation and handling - Java EE architectural patterns]]>
Sat, 28 Nov 2015 14:55:25 GMT /slideshow/business-layer-and-transactions/55604558 OndrejMihlyi@slideshare.net(OndrejMihlyi) Business layer and transactions OndrejMihlyi Fourth lecture in Java EE training series. Contains: - Multilayered application architecture - Enterprise Java Beans - Transaction creation and handling - Java EE architectural patterns <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/04businesslayerandtransactions-151128145525-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Fourth lecture in Java EE training series. Contains: - Multilayered application architecture - Enterprise Java Beans - Transaction creation and handling - Java EE architectural patterns
Business layer and transactions from Ondrej Mihlyi
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Working with jpa /slideshow/working-with-jpa/55604522 03workingwithjpa-151128145344-lva1-app6892
Third lecture in Java EE training series. Covers: - JPA entities and persistence units - Mapping of JPA entities to SQL database - Querying entities - Lazy and eager loading - Id generation - Optimistic locking]]>

Third lecture in Java EE training series. Covers: - JPA entities and persistence units - Mapping of JPA entities to SQL database - Querying entities - Lazy and eager loading - Id generation - Optimistic locking]]>
Sat, 28 Nov 2015 14:53:44 GMT /slideshow/working-with-jpa/55604522 OndrejMihlyi@slideshare.net(OndrejMihlyi) Working with jpa OndrejMihlyi Third lecture in Java EE training series. Covers: - JPA entities and persistence units - Mapping of JPA entities to SQL database - Querying entities - Lazy and eager loading - Id generation - Optimistic locking <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/03workingwithjpa-151128145344-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Third lecture in Java EE training series. Covers: - JPA entities and persistence units - Mapping of JPA entities to SQL database - Querying entities - Lazy and eager loading - Id generation - Optimistic locking
Working with jpa from Ondrej Mihlyi
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Maven in Java EE project /OndrejMihlyi/maven-in-java-ee-project 02mavenwithjavaee-151128145144-lva1-app6891
Second lecture in Java EE training series. Covers: - Maven objectives - Build lifecycle - Dependencies and Repositories - Plugins, profiles and configuration - Multiple modules - Useful plugins - Jave EE projects with Maven]]>

Second lecture in Java EE training series. Covers: - Maven objectives - Build lifecycle - Dependencies and Repositories - Plugins, profiles and configuration - Multiple modules - Useful plugins - Jave EE projects with Maven]]>
Sat, 28 Nov 2015 14:51:44 GMT /OndrejMihlyi/maven-in-java-ee-project OndrejMihlyi@slideshare.net(OndrejMihlyi) Maven in Java EE project OndrejMihlyi Second lecture in Java EE training series. Covers: - Maven objectives - Build lifecycle - Dependencies and Repositories - Plugins, profiles and configuration - Multiple modules - Useful plugins - Jave EE projects with Maven <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/02mavenwithjavaee-151128145144-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Second lecture in Java EE training series. Covers: - Maven objectives - Build lifecycle - Dependencies and Repositories - Plugins, profiles and configuration - Multiple modules - Useful plugins - Jave EE projects with Maven
Maven in Java EE project from Ondrej Mihlyi
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Java EE web project introduction /slideshow/java-ee-web-project-introduction/55604447 01webprojectintroduction-151128144818-lva1-app6892
First lecture in the Java EE training course. Covers: - Java EE project setup - Introduction to Maven - Web application structure - JSF basics - CDI basics]]>

First lecture in the Java EE training course. Covers: - Java EE project setup - Introduction to Maven - Web application structure - JSF basics - CDI basics]]>
Sat, 28 Nov 2015 14:48:18 GMT /slideshow/java-ee-web-project-introduction/55604447 OndrejMihlyi@slideshare.net(OndrejMihlyi) Java EE web project introduction OndrejMihlyi First lecture in the Java EE training course. Covers: - Java EE project setup - Introduction to Maven - Web application structure - JSF basics - CDI basics <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/01webprojectintroduction-151128144818-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> First lecture in the Java EE training course. Covers: - Java EE project setup - Introduction to Maven - Web application structure - JSF basics - CDI basics
Java EE web project introduction from Ondrej Mihlyi
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https://cdn.slidesharecdn.com/profile-photo-OndrejMihlyi-48x48.jpg?cb=1549366541 Openminded software engineer specializing in all sorts of Java technologies. I have solid background in financial area, where I've always tried to bring some fresh air and improve the process of development and quality assurance. I tend to mix the best of established and agile methods into the development process as I've seen where both excelled bbut also where they failed badly. As independent Java EE expert I like to pass my knowledge to others via training courses and blog posts. http://lostincoding.blogspot.com https://cdn.slidesharecdn.com/ss_thumbnails/devoxxma-171116004310-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/easily-scale-enterprise-applications-using-distributed-data-grids-82134362/82134362 Easily scale enterpris... https://cdn.slidesharecdn.com/ss_thumbnails/flexiblecloud-readyapps-171113174128-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/elastic-and-cloudready-applications-with-payara-micro/81997942 Elastic and Cloud-read... https://cdn.slidesharecdn.com/ss_thumbnails/bed-con-questforjavaee-170922130403-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/bed-con-microprofile-a-quest-for-a-lightweight-and-reactive-enterprise-java-platform/80056700 Bed con - MicroProfile...