West Midlands Java User Group - Payara Micro
•Download as PPTX, PDF•
2 likes•635 views
This document discusses using Java EE for microservices and Payara's role in this approach. It questions whether Java EE can be used for microservices or if it is just service-oriented architecture rebranded. The document suggests showing code examples to demonstrate how Java EE could be applied to building microservices.
Report
Share
Report
Share
Recommended
Adroit learn java in 21 days
Its very happy to introduced ourself. Our
Institution Adroit Infogen Pvt. Ltd. Corporation is
the industry leader in reliability consulting and
training services
Has been founded in 2007 by Mr.R.Praneeth
Reddy .
It is to inform that we have been chosen as one
of the outsourcing agencies to start IT related
ESDP's [Entrepreneurship & Skill Development
Programs] by NI-MSME. In this connection we
wish to inform that we are conducting free
training programs for the students which
provided the certification in different programs
by NI-MSME, Ministry of MSME, Govt of India)
Developing JavaEE 7 based apps with Payara Micro
Building on the Java EE 7 support of its GlassFish 4.1 core, Payara Micro enables you to run Java EE 7 based applications from the command line without any application server installation. In this hands-on workshop/tutorial, Payara Engineer Dave Winters provides an overview of Payara Micro and the services offered by this distribution from Payara. Dave provided a walk you through of how to set-up, develop and use Payara Micro to run applications deployed in a Payara Micro cluster.
Badass Microservices - deploy, build & scale your apps with Payara Micro
Talk by Navin Surtani presented at Devoxx Belgium 2015
Building on the Java EE 7 support of its GlassFish 4.1 core Payara Micro is a super-lightweight container for you to deploy your applications from the command line without needing to install a full-blown application server. With its automatic and elastic clustering, it is designed for running Java EE applications in a modern containerized/virtualized infrastructure. As each Payara Micro server will automatically cluster with other servers on the network your Java EE application can be elastically scaled horizontally by adding and removing containers based on demand.
In this talk, Navin Surtani will demonstrate the ease of deployment of applications and services to Payara Micro, along with showing how simple it is to build and scale a cluster of instances running these services.
Deploying Elastic Java EE Microservices in the Cloud with Docker
JavaOne 2015 tutorial describing how to build and deploy a micro services to Amazon Elastic Beanstalk with Docker and Payara Micro. All code is on GitHub
High Performance Java EE with JCache and CDI
JavaOne 2015 talk on using JCache CDI and Java EE with Hazelcast and Payara
Easy Java Integration Testing with Testcontainers
Having problems creating a maintainable set of integration tests for your enterprise Java application? This talk will help you understand how to use Test containers to implement easy integration tests for your next project!
Simplifying Integration Tests for Enterprise Java
Integration testing is always a difficult area. You need to make sure that all system dependencies are prepared, data is correctly initialised for each run and test runs do not interfere with each other. Even with tools like the Arquillian Framework, writing integration tests can be a complicated task and the act of maintaining large sets of tests can become a nightmare if there's not enough knowledge of all dependencies involved.
With the Testcontainers project, convoluted and complicated integration tests can be a thing of the past. A test container allows you to create reliable integration tests covering a wide range of scenarios like using databases, microservices interactions and even GUI and user experience testing. One of the important factors for the success of this framework is the usage of Docker containers to create a reliable reproducible environment for each test, which separates the dependencies and the application code in a way that it is easy to maintain for developers.
Payara Cloud - Cloud Native Jakarta EE.pptx
In this webinar, Payara Services CEO and Founder Steve Millidge will explain aboutPayara Cloud: how it works, why you might need it, how it can save you time and money.
Steve will explain what a truly “Serverless” solution consists of: how the user does not need to worry about application servers, instances, domains, hosts, Docker containers or any of the traditional concepts. He will explain how serverless can be brought about and its benefits, as well as demonstrating it on a runtime 100% designed forJakarta EEandMicroProfile: Payara Cloud.
Jakarta Concurrency: Present and Future
Jakarta Concurrency is the successor of the Java EE Concurrency API. Jakarta Concurrency provides concurrency features aligned with Java SE that work in the Jakarta EE environment. For Jakarta EE 10 the team significantly upgraded Jakarta Concurrency. In this talk Steve Millidge, the lead of the Jakarta Concurrency project, will talk you through the new features in Jakarta EE 10, ideas for the future and how you can contribute to shape Jakarta Concurrency.
These slides were presented at the Community Day at the EclipseCon 2022 https://www.eclipsecon.org/2022/jakarta-ee-community-day
Read more about Jakarta Concurrency on our blog: https://blog.payara.fish/jakarta-concurrency-present-and-future
Find out more about Payara and Jakarta EE on https://www.payara.fish/solutions/jakarta-ee-and-the-payara-platform/
Recommended
Adroit learn java in 21 days
Its very happy to introduced ourself. Our
Institution Adroit Infogen Pvt. Ltd. Corporation is
the industry leader in reliability consulting and
training services
Has been founded in 2007 by Mr.R.Praneeth
Reddy .
It is to inform that we have been chosen as one
of the outsourcing agencies to start IT related
ESDP's [Entrepreneurship & Skill Development
Programs] by NI-MSME. In this connection we
wish to inform that we are conducting free
training programs for the students which
provided the certification in different programs
by NI-MSME, Ministry of MSME, Govt of India)
Developing JavaEE 7 based apps with Payara Micro
Building on the Java EE 7 support of its GlassFish 4.1 core, Payara Micro enables you to run Java EE 7 based applications from the command line without any application server installation. In this hands-on workshop/tutorial, Payara Engineer Dave Winters provides an overview of Payara Micro and the services offered by this distribution from Payara. Dave provided a walk you through of how to set-up, develop and use Payara Micro to run applications deployed in a Payara Micro cluster.
Badass Microservices - deploy, build & scale your apps with Payara Micro
Talk by Navin Surtani presented at Devoxx Belgium 2015
Building on the Java EE 7 support of its GlassFish 4.1 core Payara Micro is a super-lightweight container for you to deploy your applications from the command line without needing to install a full-blown application server. With its automatic and elastic clustering, it is designed for running Java EE applications in a modern containerized/virtualized infrastructure. As each Payara Micro server will automatically cluster with other servers on the network your Java EE application can be elastically scaled horizontally by adding and removing containers based on demand.
In this talk, Navin Surtani will demonstrate the ease of deployment of applications and services to Payara Micro, along with showing how simple it is to build and scale a cluster of instances running these services.
Deploying Elastic Java EE Microservices in the Cloud with Docker
JavaOne 2015 tutorial describing how to build and deploy a micro services to Amazon Elastic Beanstalk with Docker and Payara Micro. All code is on GitHub
High Performance Java EE with JCache and CDI
JavaOne 2015 talk on using JCache CDI and Java EE with Hazelcast and Payara
Easy Java Integration Testing with Testcontainers
Having problems creating a maintainable set of integration tests for your enterprise Java application? This talk will help you understand how to use Test containers to implement easy integration tests for your next project!
Simplifying Integration Tests for Enterprise Java
Integration testing is always a difficult area. You need to make sure that all system dependencies are prepared, data is correctly initialised for each run and test runs do not interfere with each other. Even with tools like the Arquillian Framework, writing integration tests can be a complicated task and the act of maintaining large sets of tests can become a nightmare if there's not enough knowledge of all dependencies involved.
With the Testcontainers project, convoluted and complicated integration tests can be a thing of the past. A test container allows you to create reliable integration tests covering a wide range of scenarios like using databases, microservices interactions and even GUI and user experience testing. One of the important factors for the success of this framework is the usage of Docker containers to create a reliable reproducible environment for each test, which separates the dependencies and the application code in a way that it is easy to maintain for developers.
Payara Cloud - Cloud Native Jakarta EE.pptx
In this webinar, Payara Services CEO and Founder Steve Millidge will explain aboutPayara Cloud: how it works, why you might need it, how it can save you time and money.
Steve will explain what a truly “Serverless” solution consists of: how the user does not need to worry about application servers, instances, domains, hosts, Docker containers or any of the traditional concepts. He will explain how serverless can be brought about and its benefits, as well as demonstrating it on a runtime 100% designed forJakarta EEandMicroProfile: Payara Cloud.
Jakarta Concurrency: Present and Future
Jakarta Concurrency is the successor of the Java EE Concurrency API. Jakarta Concurrency provides concurrency features aligned with Java SE that work in the Jakarta EE environment. For Jakarta EE 10 the team significantly upgraded Jakarta Concurrency. In this talk Steve Millidge, the lead of the Jakarta Concurrency project, will talk you through the new features in Jakarta EE 10, ideas for the future and how you can contribute to shape Jakarta Concurrency.
These slides were presented at the Community Day at the EclipseCon 2022 https://www.eclipsecon.org/2022/jakarta-ee-community-day
Read more about Jakarta Concurrency on our blog: https://blog.payara.fish/jakarta-concurrency-present-and-future
Find out more about Payara and Jakarta EE on https://www.payara.fish/solutions/jakarta-ee-and-the-payara-platform/
GlassFish Migration Webinar 2022 Current version.pptx
If you’re running GlassFish in your production or development environment and are worried about the lack of support, infrequent application server releases, lack of bug fixes and patches – Then you might be considering migration.
Payara Server is an open source application server originally derived from GlassFish – supporting reliable and secure deployments of Jakarta EE (Java EE) applications in any environment: on premise, in the cloud or hybrid. To do our part to help advance the Jakarta EE project, Payara Services is a project lead for GlassFish, the Jakarta EE compatible implementation, but we recommend Payara Server Enterprise for your production environments for our included support services, stability, and security.
Migrating from GlassFish to Payara Server can be a simple and straightforward process. In this webinar, Payara CEO Steve Millidge will explain all the things you need to consider in order to make a migration as smooth as possible.
If you have any questions about the above, this will be a great opportunity to get answers directly from the source.
10 Strategies for Developing Reliable Jakarta EE & MicroProfile Applications ...
Ever thought of implementing a modern cloud architecture with Jakarta EE and MicroProfile applications but don’t know which practices to follow? This talk will highlight 10 strategies that will help you implement robust scalable cloud-ready applications!
Securing Microservices with MicroProfile and Auth0v2
In this day and age, securing enterprise platforms is a challenge that developers and consultants tackle in an uninformed manner, producing subpar solutions in most cases. To combat this pattern, third-party security services such as Auth0 have been devised to externalize the security of services, and they focus on stable implementations of common enterprise use cases (identity management, OAuth compatibility, and so on), and platforms such as Eclipse MicroProfile allow for their easy integration with enterprise Java microservices. Moreover, in combination with Kubernetes, MicroProfile is a very powerful tool to simplify securing microservices, monitoring them and creating reproducible deployments. This presentation showcases the strength of combining MicroProfile and an OAuth service by doing a live demonstration of securing enterprise Java microservices in Kubernetes.
Reactive features of MicroProfile you need to learn
Why reactive? How is MicroProfile related to reactive programming? There are many reactive Java libraries but they all work in a different way and provide different API. MicroProfile brings common reactive APIs that can be reused in many libraries to provide a unified experience for many Java developers. Including reactive operators, messaging, REST and more. The core MicroProfile reactive operators API is designed with care by experts behind popular reactive libraries. MicroProfile also provides reactive APIs for asynchronous messaging, REST and thread-control, as well as interceptors to improve the fault-tolerance of your applications. On top of that, MicroProfile aspires to bring unified reactive APIs to Jakarta EE and even to Java SE to make them more accessible to every Java developer. Learning MicroProfile API once will make it easier to get you started with many reactive frameworks with less additional learning.
Effective cloud-ready apps with MicroProfile
Presented during Payara Japan Tour 2019 (https://blog.payara.fish/payara-on-tour-in-japan).
In this session, you'll learn how to develop applications that evolve according to your needs, can easily run in the cloud and integrate with common cloud technologies. We'll start with a simple application, focusing on business logic. MicroProfile framework, powered by a lightweight opensource Payara Micro runtime, will get us started quickly and allow gradual improvements later.
MicroProfile contains a lot of components that make developers productive. It allows separating business logic from common concerns like configuration, failure-recovery, REST service calls, context propagation across service calls and securing services. Adding all of these to existing code is easy. It's also easy to introduce new microservices as needed and adopt cloud technologies as your application grows. I'll show you how, in a step-by-step demo. And if time allows, I'll also show how to run and scale your application effectively with Kubernetes in the cloud.
A step-by-step guide from traditional Java EE to reactive microservice design
Have you wondered how you can improve the design of your applications to improve its performance? You probably heard that reactive design can lead to better response times and more flexible apps. But youre asking: Do I need to rewrite my apps from scratch? Do I need to learn a new framework for all that? The answer is no, especially if your application is built on top of Java EE and Java 8.
Together, we will explore how we can migrate parts of an existing Java EE application step-by-step, in order to increase its response time, throughput, and make it more flexible and robust. We will go through examples how to apply reactive design to a traditional codebase, using standard API from Java SE, Java EE and MicroProfile, split a monolith into several microservices and deploy them to cloud.
Transactions in Microservices
Transactions are an easy technique for the developer to achieve data consistency. Changes are all committed or rollback, so your data is always aligned and other sessions see no incomplete information.
But in a distributed environment, this cannot be achieved because data can be spread over several data sources and types of data sources, or we cannot scale distributed transactions very well.
To eventually achieve the data consistency, the SAGA pattern is very popular and describes a procedure to achieve it using the concept of a compensatable action.
The session goes a bit deeper into these problems and concepts and shows you with several examples how you can achieve eventual consistency within microservices with the use of the MicroProfile Long Running Action specification which is developed to address this.
Fun with Kubernetes and Payara Micro 5
When developing a microservices architecture using containers, orchestration is key to provide an elastic scalable infrastructure. Kubernetes (w/ Docker) and Payara Micro 5 make this possible! This talk will showcase how to implement all of this for a real production scenario!
What's new in Jakarta EE and Eclipse GlassFish (May 2019)
What's new in Jakarta EE and Eclipse GlassFish (May 2019) by Kenji Hasunuma.
Secure JAX-RS
With the rise of micro-services, REST communication is more popular than ever. But the communication between the different parts must also be performed in a secure way.
First, we need to know if the user or system is allowed to call the JAX-RS endpoint. For this authentication part, self-contained tokens are the best option to not overload any of our services in the system. JWT which contains the authentication but also can contain the authorization info is ideal for this use-case.
And secondly, we need guarantees that the message isn't altered, that we can have message integrity. For that part, we can use signatures as specified in the HTTP signature draft specification.
Gradual Migration to MicroProfile
The goal of MicroProfile is to optimise Java EE for a micro-service architecture. It is based on some of the Java EE specifications and standardise a few technologies from the micro-services space.
However, some of the MicroProfile implementations are completely different 'servers', like the KumuluzEE server. So how can you migrate easily from your favorite Java EE server to a MicroProfile implementation?
This session shows you an overview of what MicroProfile.IO is and how it relates to Java EE. It then demonstrates with a few examples how you can adjust your Java EE application to incorporate some of the MicroProfile.IO specifications and how you can transform your Java EE application to a MicroProfile.IO one using Thorntail, Payara Micro, and KumuluzEE.
Monitor Microservices with MicroProfile Metrics
Microservices architecture has many benefits. But it comes at a cost. Running microservices and monitoring what’s going on is tedious. That’s why MicroProfile adopts monitoring as a first-class concept. In this session, learn how MicroProfile runtimes collect metrics and how to seamlessly collect them with tools like Prometheus and Grafana. Learn how MicroProfile makes it easy to connect information about interrelated service calls, how to gather the information and analyze system bottlenecks, how to deploy and scale MicroProfile applications with Kubernetes and how to react to their health status to detect and automatically recover from failures.
Java2 days -_be_reactive_and_micro_with_a_microprofile_stack
Be reactive and micro with a MicroProfile stack
https://www.payara.fish/
Java2 days 5_agile_steps_to_cloud-ready_apps
5 Agile Steps to cloud-ready apps
https://www.payara.fish/
Rapid development tools for java ee 8 and micro profile [GIDS]
Gaurav Gupta at The Great Indian Developer Summit 2018 presenting: "Rapid development tools for Java EE 8 and MicroProfile"
Ondrej mihalyi be reactive and micro with a micro profile stack
Ondrej Mihalyi - Be Reactive and Micro with a MicroProfile Stack. Javaland 2018
Bed con Quest for JavaEE
MicroProfile: A Quest for a lightweight and reactive Enterprise Java Platform
Microprofile and EE4J update
Microprofile and EE4J update by Steve Millidge with Hazelcast and Payara.
Essentials of Automations: Optimizing FME Workflows with Parameters
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
More Related Content
More from Payara
GlassFish Migration Webinar 2022 Current version.pptx
If you’re running GlassFish in your production or development environment and are worried about the lack of support, infrequent application server releases, lack of bug fixes and patches – Then you might be considering migration.
Payara Server is an open source application server originally derived from GlassFish – supporting reliable and secure deployments of Jakarta EE (Java EE) applications in any environment: on premise, in the cloud or hybrid. To do our part to help advance the Jakarta EE project, Payara Services is a project lead for GlassFish, the Jakarta EE compatible implementation, but we recommend Payara Server Enterprise for your production environments for our included support services, stability, and security.
Migrating from GlassFish to Payara Server can be a simple and straightforward process. In this webinar, Payara CEO Steve Millidge will explain all the things you need to consider in order to make a migration as smooth as possible.
If you have any questions about the above, this will be a great opportunity to get answers directly from the source.
10 Strategies for Developing Reliable Jakarta EE & MicroProfile Applications ...
Ever thought of implementing a modern cloud architecture with Jakarta EE and MicroProfile applications but don’t know which practices to follow? This talk will highlight 10 strategies that will help you implement robust scalable cloud-ready applications!
Securing Microservices with MicroProfile and Auth0v2
In this day and age, securing enterprise platforms is a challenge that developers and consultants tackle in an uninformed manner, producing subpar solutions in most cases. To combat this pattern, third-party security services such as Auth0 have been devised to externalize the security of services, and they focus on stable implementations of common enterprise use cases (identity management, OAuth compatibility, and so on), and platforms such as Eclipse MicroProfile allow for their easy integration with enterprise Java microservices. Moreover, in combination with Kubernetes, MicroProfile is a very powerful tool to simplify securing microservices, monitoring them and creating reproducible deployments. This presentation showcases the strength of combining MicroProfile and an OAuth service by doing a live demonstration of securing enterprise Java microservices in Kubernetes.
Reactive features of MicroProfile you need to learn
Why reactive? How is MicroProfile related to reactive programming? There are many reactive Java libraries but they all work in a different way and provide different API. MicroProfile brings common reactive APIs that can be reused in many libraries to provide a unified experience for many Java developers. Including reactive operators, messaging, REST and more. The core MicroProfile reactive operators API is designed with care by experts behind popular reactive libraries. MicroProfile also provides reactive APIs for asynchronous messaging, REST and thread-control, as well as interceptors to improve the fault-tolerance of your applications. On top of that, MicroProfile aspires to bring unified reactive APIs to Jakarta EE and even to Java SE to make them more accessible to every Java developer. Learning MicroProfile API once will make it easier to get you started with many reactive frameworks with less additional learning.
Effective cloud-ready apps with MicroProfile
Presented during Payara Japan Tour 2019 (https://blog.payara.fish/payara-on-tour-in-japan).
In this session, you'll learn how to develop applications that evolve according to your needs, can easily run in the cloud and integrate with common cloud technologies. We'll start with a simple application, focusing on business logic. MicroProfile framework, powered by a lightweight opensource Payara Micro runtime, will get us started quickly and allow gradual improvements later.
MicroProfile contains a lot of components that make developers productive. It allows separating business logic from common concerns like configuration, failure-recovery, REST service calls, context propagation across service calls and securing services. Adding all of these to existing code is easy. It's also easy to introduce new microservices as needed and adopt cloud technologies as your application grows. I'll show you how, in a step-by-step demo. And if time allows, I'll also show how to run and scale your application effectively with Kubernetes in the cloud.
A step-by-step guide from traditional Java EE to reactive microservice design
Have you wondered how you can improve the design of your applications to improve its performance? You probably heard that reactive design can lead to better response times and more flexible apps. But youre asking: Do I need to rewrite my apps from scratch? Do I need to learn a new framework for all that? The answer is no, especially if your application is built on top of Java EE and Java 8.
Together, we will explore how we can migrate parts of an existing Java EE application step-by-step, in order to increase its response time, throughput, and make it more flexible and robust. We will go through examples how to apply reactive design to a traditional codebase, using standard API from Java SE, Java EE and MicroProfile, split a monolith into several microservices and deploy them to cloud.
Transactions in Microservices
Transactions are an easy technique for the developer to achieve data consistency. Changes are all committed or rollback, so your data is always aligned and other sessions see no incomplete information.
But in a distributed environment, this cannot be achieved because data can be spread over several data sources and types of data sources, or we cannot scale distributed transactions very well.
To eventually achieve the data consistency, the SAGA pattern is very popular and describes a procedure to achieve it using the concept of a compensatable action.
The session goes a bit deeper into these problems and concepts and shows you with several examples how you can achieve eventual consistency within microservices with the use of the MicroProfile Long Running Action specification which is developed to address this.
Fun with Kubernetes and Payara Micro 5
When developing a microservices architecture using containers, orchestration is key to provide an elastic scalable infrastructure. Kubernetes (w/ Docker) and Payara Micro 5 make this possible! This talk will showcase how to implement all of this for a real production scenario!
What's new in Jakarta EE and Eclipse GlassFish (May 2019)
What's new in Jakarta EE and Eclipse GlassFish (May 2019) by Kenji Hasunuma.
Secure JAX-RS
With the rise of micro-services, REST communication is more popular than ever. But the communication between the different parts must also be performed in a secure way.
First, we need to know if the user or system is allowed to call the JAX-RS endpoint. For this authentication part, self-contained tokens are the best option to not overload any of our services in the system. JWT which contains the authentication but also can contain the authorization info is ideal for this use-case.
And secondly, we need guarantees that the message isn't altered, that we can have message integrity. For that part, we can use signatures as specified in the HTTP signature draft specification.
Gradual Migration to MicroProfile
The goal of MicroProfile is to optimise Java EE for a micro-service architecture. It is based on some of the Java EE specifications and standardise a few technologies from the micro-services space.
However, some of the MicroProfile implementations are completely different 'servers', like the KumuluzEE server. So how can you migrate easily from your favorite Java EE server to a MicroProfile implementation?
This session shows you an overview of what MicroProfile.IO is and how it relates to Java EE. It then demonstrates with a few examples how you can adjust your Java EE application to incorporate some of the MicroProfile.IO specifications and how you can transform your Java EE application to a MicroProfile.IO one using Thorntail, Payara Micro, and KumuluzEE.
Monitor Microservices with MicroProfile Metrics
Microservices architecture has many benefits. But it comes at a cost. Running microservices and monitoring what’s going on is tedious. That’s why MicroProfile adopts monitoring as a first-class concept. In this session, learn how MicroProfile runtimes collect metrics and how to seamlessly collect them with tools like Prometheus and Grafana. Learn how MicroProfile makes it easy to connect information about interrelated service calls, how to gather the information and analyze system bottlenecks, how to deploy and scale MicroProfile applications with Kubernetes and how to react to their health status to detect and automatically recover from failures.
Java2 days -_be_reactive_and_micro_with_a_microprofile_stack
Be reactive and micro with a MicroProfile stack
https://www.payara.fish/
Java2 days 5_agile_steps_to_cloud-ready_apps
5 Agile Steps to cloud-ready apps
https://www.payara.fish/
Rapid development tools for java ee 8 and micro profile [GIDS]
Gaurav Gupta at The Great Indian Developer Summit 2018 presenting: "Rapid development tools for Java EE 8 and MicroProfile"
Ondrej mihalyi be reactive and micro with a micro profile stack
Ondrej Mihalyi - Be Reactive and Micro with a MicroProfile Stack. Javaland 2018
Bed con Quest for JavaEE
MicroProfile: A Quest for a lightweight and reactive Enterprise Java Platform
Microprofile and EE4J update
Microprofile and EE4J update by Steve Millidge with Hazelcast and Payara.
More from Payara (20)
GlassFish Migration Webinar 2022 Current version.pptx
GlassFish Migration Webinar 2022 Current version.pptx
10 Strategies for Developing Reliable Jakarta EE & MicroProfile Applications ...
10 Strategies for Developing Reliable Jakarta EE & MicroProfile Applications ...
Securing Microservices with MicroProfile and Auth0v2
Securing Microservices with MicroProfile and Auth0v2
Reactive features of MicroProfile you need to learn
Reactive features of MicroProfile you need to learn
A step-by-step guide from traditional Java EE to reactive microservice design
A step-by-step guide from traditional Java EE to reactive microservice design
What's new in Jakarta EE and Eclipse GlassFish (May 2019)
What's new in Jakarta EE and Eclipse GlassFish (May 2019)
Java2 days -_be_reactive_and_micro_with_a_microprofile_stack
Java2 days -_be_reactive_and_micro_with_a_microprofile_stack
Rapid development tools for java ee 8 and micro profile [GIDS]
Rapid development tools for java ee 8 and micro profile [GIDS]
Ondrej mihalyi be reactive and micro with a micro profile stack
Ondrej mihalyi be reactive and micro with a micro profile stack
Recently uploaded
Essentials of Automations: Optimizing FME Workflows with Parameters
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP of Product, Amplitude
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Connector Corner: Automate dynamic content and events by pushing a button
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designer, Beats by Dr Dre
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish Caching
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, Product School
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Recently uploaded (20)
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
West Midlands Java User Group - Payara Micro
- 1. Java EE Microservices - the Payara way
- 2. Can Java EE be "micro"?
- 3. Isn't this just SOA 2.0?
- 4. Where does Payara fit in?
- 5. Talk is cheap. Show me the code.