Join this webinar to learn what’s new in Camel 3 and about Camel projects:
- Latest features in Camel 3
- Quick demos of Camel 3, Camel #Quarkus, #CamelK, and Camel Kafka Connector
- Present insights into what's coming next
Integrating microservices with apache camel on kubernetesClaus Ibsen
Apache Camel has fundamentally changed the way Java developers build system-to-system integrations by using enterprise integration patterns (EIP) with modern microservice architectures. In this session, we’ll show you best practices with Camel and EIPs, in the world of Spring Boot microservices running on Kubernetes. We'll also discuss practices how to build truly cloud-native distributed and fault-tolerant microservices and we’ll introduce the upcoming Camel 3.0 release, which includes serverless capabilities via Camel K. This talk is a mix with slides and live demos.
Best Practices for Middleware and Integration Architecture Modernization with...Claus Ibsen
What are important considerations when modernizing middleware and moving towards serverless and/or cloud native integration architectures? How can we make the most of flexible technologies such as Camel K, Kafka, Quarkus and OpenShift. Claus is working as project lead on Apache Camel and has extensive experience from open source product development.
The talk was recorded and runs for 30 minutes and published on youtube at: https://www.youtube.com/watch?v=d1Hr78a7Lww
Apache Camel v3, Camel K and Camel QuarkusClaus Ibsen
In this session, we will explore key challenges with function interactions and coordination, addressing these problems using Enterprise Integration Patterns (EIP) and modern approaches with the latest innovations from the Apache Camel community:
Apache Camel is the Swiss army knife of integration, and the most powerful integration framework. In this session you will hear about the latest features in the brand new 3rd generation.
Camel K, is a lightweight integration platform that enables Enterprise Integration Patterns to be used natively on any Kubernetes cluster. When used in combination with Knative, a framework that adds serverless building blocks to Kubernetes, and the subatomic execution environment of Quarkus, Camel K can mix serverless features such as auto-scaling, scaling to zero, and event-based communication with the outstanding integration capabilities of Apache Camel.
- Apache Camel 3
- Camel K
- Camel Quarkus
We will show how Camel K works. We’ll also use examples to demonstrate how Camel K makes it easier to connect to cloud services or enterprise applications using some of the 300 components that Camel provides.
SouJava May 2020: Apache Camel 3 - the next generation of enterprise integrationClaus Ibsen
In this session, we'll discuss:
- What’s Apache Camel: An overview of Camel and what you use it for and why you should care.
- Camel 3: Demos of how Camel 3, Camel K and Camel Quarkus all work together, and will provide insights into Camel’s role in the next major release of Red Hat Integration products.
- Camel K: This serverless integration platform provides low-code/no-code capabilities, where integrations can be snapped together quickly using the powers from integration patterns and Camel’s extensive set of connectors.
- Camel Quarkus: Using Knative (the fast runtime of Quarkus) and Camel K brings awesome serverless features, such as auto-scaling, scaling to zero, and event-based communication, with great integration capabilities from Apache Camel.
You will also hear about the latest Camel sub-project Camel Kafka Connectors which makes it possible to use all the Camel components as Kafka Connect connectors.
Finally we bring details of the roadmap for what is coming up in the Camel projects.
And after the presentation we have about 30 minutes of QA answering all the questions from the audience.
Red Hat Nordics 2020 - Apache Camel 3 the next generation of enterprise integ...Claus Ibsen
In this session, we'll focus on:
Camel 3: Demos of how Camel 3, Camel K and Camel Quarkus all work together, and will provide insights into Camel’s role in the next major release of Red Hat Integration products.
Camel K: This serverless integration platform provides low-code/no-code capabilities, where integrations can be snapped together quickly using the powers from integration patterns and Camel’s extensive set of connectors.
Camel Quarkus: Using Knative (the fast runtime of Quarkus) and Camel K brings awesome serverless features, such as auto-scaling, scaling to zero, and event-based communication, with great integration capabilities from Apache Camel.
You will also hear about the latest Camel sub-project Camel Kafka Connectors which makes it possible to use all the Camel components as Kafka Connect connectors.
Finally we bring details of the roadmap for what is coming up in the Camel projects.
Serverless integration with Knative and Apache Camel on KubernetesClaus Ibsen
This presentation will introduce Knative, an open source project that adds serverless capabilities on top of Kubernetes, and present Camel K, a lightweight platform that brings Apache Camel integrations in the serverless world. Camel K allows running Camel routes on top of any Kubernetes cluster, leveraging Knative serverless capabilities such as “scaling to zero”.
We will demo how Camel K can connect cloud services or enterprise applications using its 250+ components and how it can intelligently route events within the Knative environment via enterprise integration patterns (EIP).
Target Group: Developers, architects and other technical people - a basic understanding of Kubernetes is an advantage
Integrating microservices with apache camel on kubernetesClaus Ibsen
Apache Camel has fundamentally changed the way Java developers build system-to-system integrations by using enterprise integration patterns (EIP) with modern microservice architectures. In this session, we’ll show you best practices with Camel and EIPs, in the world of Spring Boot microservices running on Kubernetes. We'll also discuss practices how to build truly cloud-native distributed and fault-tolerant microservices and we’ll introduce the upcoming Camel 3.0 release, which includes serverless capabilities via Camel K. This talk is a mix with slides and live demos.
Best Practices for Middleware and Integration Architecture Modernization with...Claus Ibsen
What are important considerations when modernizing middleware and moving towards serverless and/or cloud native integration architectures? How can we make the most of flexible technologies such as Camel K, Kafka, Quarkus and OpenShift. Claus is working as project lead on Apache Camel and has extensive experience from open source product development.
The talk was recorded and runs for 30 minutes and published on youtube at: https://www.youtube.com/watch?v=d1Hr78a7Lww
Apache Camel v3, Camel K and Camel QuarkusClaus Ibsen
In this session, we will explore key challenges with function interactions and coordination, addressing these problems using Enterprise Integration Patterns (EIP) and modern approaches with the latest innovations from the Apache Camel community:
Apache Camel is the Swiss army knife of integration, and the most powerful integration framework. In this session you will hear about the latest features in the brand new 3rd generation.
Camel K, is a lightweight integration platform that enables Enterprise Integration Patterns to be used natively on any Kubernetes cluster. When used in combination with Knative, a framework that adds serverless building blocks to Kubernetes, and the subatomic execution environment of Quarkus, Camel K can mix serverless features such as auto-scaling, scaling to zero, and event-based communication with the outstanding integration capabilities of Apache Camel.
- Apache Camel 3
- Camel K
- Camel Quarkus
We will show how Camel K works. We’ll also use examples to demonstrate how Camel K makes it easier to connect to cloud services or enterprise applications using some of the 300 components that Camel provides.
SouJava May 2020: Apache Camel 3 - the next generation of enterprise integrationClaus Ibsen
In this session, we'll discuss:
- What’s Apache Camel: An overview of Camel and what you use it for and why you should care.
- Camel 3: Demos of how Camel 3, Camel K and Camel Quarkus all work together, and will provide insights into Camel’s role in the next major release of Red Hat Integration products.
- Camel K: This serverless integration platform provides low-code/no-code capabilities, where integrations can be snapped together quickly using the powers from integration patterns and Camel’s extensive set of connectors.
- Camel Quarkus: Using Knative (the fast runtime of Quarkus) and Camel K brings awesome serverless features, such as auto-scaling, scaling to zero, and event-based communication, with great integration capabilities from Apache Camel.
You will also hear about the latest Camel sub-project Camel Kafka Connectors which makes it possible to use all the Camel components as Kafka Connect connectors.
Finally we bring details of the roadmap for what is coming up in the Camel projects.
And after the presentation we have about 30 minutes of QA answering all the questions from the audience.
Red Hat Nordics 2020 - Apache Camel 3 the next generation of enterprise integ...Claus Ibsen
In this session, we'll focus on:
Camel 3: Demos of how Camel 3, Camel K and Camel Quarkus all work together, and will provide insights into Camel’s role in the next major release of Red Hat Integration products.
Camel K: This serverless integration platform provides low-code/no-code capabilities, where integrations can be snapped together quickly using the powers from integration patterns and Camel’s extensive set of connectors.
Camel Quarkus: Using Knative (the fast runtime of Quarkus) and Camel K brings awesome serverless features, such as auto-scaling, scaling to zero, and event-based communication, with great integration capabilities from Apache Camel.
You will also hear about the latest Camel sub-project Camel Kafka Connectors which makes it possible to use all the Camel components as Kafka Connect connectors.
Finally we bring details of the roadmap for what is coming up in the Camel projects.
Serverless integration with Knative and Apache Camel on KubernetesClaus Ibsen
This presentation will introduce Knative, an open source project that adds serverless capabilities on top of Kubernetes, and present Camel K, a lightweight platform that brings Apache Camel integrations in the serverless world. Camel K allows running Camel routes on top of any Kubernetes cluster, leveraging Knative serverless capabilities such as “scaling to zero”.
We will demo how Camel K can connect cloud services or enterprise applications using its 250+ components and how it can intelligently route events within the Knative environment via enterprise integration patterns (EIP).
Target Group: Developers, architects and other technical people - a basic understanding of Kubernetes is an advantage
Integrating systems in the age of Quarkus and CamelClaus Ibsen
Apache Camel has been the Swiss knife of integrating heterogeneous systems for more than a decade. Claus Ibsen explains how Camel adapts to the newest changes with microservices and cloud computing! Apache Camel integrations written on top of Quarkus start in a matter of milliseconds and consume just a few tens of megabytes of RAM. We will explain the technology and show a demo including the famous Quarkus dev mode. Then you will learn how the outstanding integration capabilities of Apache Camel enrich the serverless architectures based on Knative and CamelK!
Cloud-Native Integration with Apache Camel on Kubernetes (Copenhagen October ...Claus Ibsen
Cloud-native applications of the future will consist of hybrid workloads: stateful applications, batch jobs, microservices, and functions, wrapped as Linux containers and deployed via Kubernetes on any cloud.
In this session, we will explore key challenges with function interactions and coordination, addressing these problems using Enterprise Integration Patterns (EIP) and modern approaches with the latest innovations from the Apache Camel community:
- Apache Camel 3
- Camel K
- Camel Quarkus
Apache Camel is the Swiss army knife of integration, and the most powerful integration framework. In this session you will hear about the latest features in the brand new 3rd generation.
Camel K, is a lightweight integration platform that enables Enterprise Integration Patterns to be used natively on any Kubernetes cluster. When used in combination with Knative, a framework that adds serverless building blocks to Kubernetes, and the subatomic execution environment of Quarkus, Camel K can mix serverless features such as auto-scaling, scaling to zero, and event-based communication with the outstanding integration capabilities of Apache Camel.
We will show how Camel K works. We'll also use examples to demonstrate how Camel K makes it easier to connect to cloud services or enterprise applications using some of the 300 components that Camel provides.
Camel Day Italy 2021 - What's new in Camel 3Claus Ibsen
Slides for the 50 min presentation at Camel Day Italy 2021, where Claus Ibsen and Andrea Cosentino had the opporunity to give a more deep dive talk about the journey towards Camel 3, and what we have done to re-architect camel core in v3 to make it awesome for microservices, cloud native, kubernetes, quarkus, graalvm, knative, apache kafka.
Camel Day Italy 2021: https://www.meetup.com/it-IT/red-hat-developers-italy/events/275332376/
JEEConf 2018 - Camel microservices with Spring Boot and KubernetesClaus Ibsen
Apache Camel has fundamentally changed the way enterprise Java developers think about system-to-system integration by making enterprise integration patterns (EIP) a simple declaration in a lightweight application wrapped and delivered as a single JAR.
In this session, we’ll show you how to bring the best practices from the EIP world together with containers, running on top of Kubernetes, and deployed as Spring Boot microservices, which are both cloud-native and cloud-portable.
Building and designing cloud-native microservices impacts how we develop. We’ll discuss practices how to build distributed and fault-tolerant microservices with technologies such as Kubernetes Services, Netflix Hystrix, Camel EIP patterns, and Istio. You will see live demos of us killing containers to test fault tolerance, and more.
State of integration with Apache Camel (ApacheCon 2019)Claus Ibsen
Apache Camel is the leading open source integration framework, which has been around for over a decade. In this talk we will look back in history, to understand how the integration landscape has evolved from EAI, SOA, and ESB architectures up to microservices, and now with modern serverless and cloud native platforms. Apache Camel has been along for the ride. And we will look to the future and see how the latest release v3 of Apache Camel, is aimed for running modern cloud native workloads with Camel K. In this talk you will: Learn from history software integration, and why you should rely on existing, proven fully featured integration frameworks instead of rolling out your own DIY solutions. See how software integration is (still) important in today’s modern architectures and what role does Camel have in the new cloud native world. What is new and noteworthy in Apache Camel version 3
Developing Microservices with Apache CamelClaus Ibsen
Red Hat Microservices Architecture Day - New York, November 2015. Presented by Claus Ibsen.
Apache Camel is a very popular integration library that works very well with microservice architecture. This talk introduces you to Apache Camel and how you can easily get started with Camel on your computer. Then we cover how to create new Camel projects from scratch as microservices, which you can boot using Camel or Spring Boot, or other micro containers such as Jetty or fat JARs. We then take a look at what options you have for monitoring and managing your Camel microservices using tooling such as Jolokia, and hawtio web console.
Apache Camel has fundamentally changed the way enterprise Java™ developers think about system-to-system integration by making enterprise integration patterns (EIP) a simple declaration in a lightweight application wrapped and delivered as a single JAR.
In this session, we’ll show you how to bring the best practices from the enterprise integration world together with Linux containers, running on top of Kubernetes/OpenShift, and deployed as microservices, which are both cloud-native and cloud-portable.
This is a classic example of older technology not being used to its fullest, which Justin proves by walking through little-known configuration and optimization tricks that get data flowing reliably and efficiently – even for today’s complexity and scale. This session covers:
A – Camel basics, understanding Exchanges, Routes, and how to implement EIPs with them
B – Examples of real implementations of common EIPs like Content Based Routers and Recipient Lists
C – Integration of Camel with common endpoints, like JMS, FTP, and HTTP
Apache Camel Introduction & What's in the boxClaus Ibsen
Slides from JavaBin talk in Grimstad Norway, presented by Claus Ibsen in February 2016.
This slide deck is full up to date with latest Apache Camel 2.16.2 release and includes additional slides to present many of the features that Apache Camel provides out of the box.
Meetup Melbourne August 2017 - Agile Integration with Apache Camel microservi...Claus Ibsen
How to get started developing Camel microservices (or any Java technology for that matter) on a local Kubernetes cluster from zero to deployment.
As a Java developer it may be daunting to know how to get started how to develop container applications that runs on Kubernetes cluster.
Using minikube its very easy to run a local cluster and with the help of fabric8 tooling its even easier to install and run using familiar tools like Maven. In this talk we will build a set of Apache Camel and Java based Microservices that uses Spring Boot and WildFly Swarm. With the help of fabric8 maven tooling you will see how to build, deploy, and run your Java projects on a Kubernetes cluster (local or remote). And even live debugging is easy to do as well.
We will discuss practices how to build distributed and fault tolerant microservices using technologies such as Kubernetes Services, Netflix Hysterix, and Camel EIP patterns for fault tolerance. In the talk you will also hear about related open source projects where you can go explore more such as fabric8, openshift.io, istio, etc. This presentation is a 50/50 mix between slides and demo.
Building Out Your Kafka Developer CDC Ecosystemconfluent
Building Out Your Kafka Developer CDC Ecosystem, Neil Buesing, VP of Streaming Technologies for Object Partners (OPI)
Meetup Link: https://www.meetup.com/TwinCities-Apache-Kafka/events/272944023/
Developing Java based microservices ready for the world of containersClaus Ibsen
The so-called experts are saying microservices and containers will
change the way we build, maintain, operate, and integrate
applications. This talk is intended for Java developers who wants to hear and see how you can develop Java microservices that are ready to run in containers.
In this talk we will build a set of Java based Microservices that uses a mix of technologies with Apache Camel, Spring Boot and WildFly Swarm.
You will see how we can build small discrete microservices with these Java technologies and build and deploy on the Kubernets container platform.
We will discuss practices how to build distributed and fault tolerant microservices using technologies such as Kubernetes Services, Camel EIPs, and Netflixx Hysterix.
And the self healing and fault tolerant aspects of the Kubernetes platform is also discussed and demoed when we let the chaos monkeys loose killing containers.
This talk is a 50/50 mix between slides and demo.
The talk was presented at JDKIO on September 13th 2016.
Camel Kafka Connectors: Tune Kafka to “Speak” with (Almost) Everything (Andre...HostedbyConfluent
Apache Kafka is getting used as an event backbone in new organizations every day. We would love to send every byte of data through the event bus. However, most of the time, connecting to simple third party applications and services becomes a headache that involves several lines of code and additional applications. As a result, connecting Kafka to services like Google Sheets, communication tools such as Slack or Telegram, or even the omnipresent Salesforce, is a challenge nobody wants to face. Wouldn’t you like to have hundreds of connectors readily available out-of-the-box to solve this problem?
Due to these challenges, communities like Apache Camel are working on how to speed up development of key areas of the modern application, like integration. The Camel Kafka Connect project, from the Apache foundation, has enabled their vastly set of connectors to interact with Kafka Connect natively. So, developers can start sending and receiving data from Kafka to and from their preferred services and applications in no time without a single line of code.
In summary, during this session we will:
- Introduce you to the Camel Kafka Connector sub-project from Apache Camel
- Go over the list of connectors available as part of the project
- Showcase a couple of examples of integrations using the connectors
- Share some guidelines on how to get started with the Camel Kafka Connectors
Show Me Kafka Tools That Will Increase My Productivity! (Stephane Maarek, Dat...confluent
In the Apache Kafka world, there is such a great diversity of open source tools available (I counted over 50!) that it’s easy to get lost. Over the years I have dealt with Kafka, I have learned to particularly enjoy a few of them that save me a tremendous amount of time over performing manual tasks. I will be sharing my experience and doing live demos of my favorite Kafka tools, so that you too can hopefully increase your productivity and efficiency when managing and administering Kafka. Come learn about the latest and greatest tools for CLI, UI, Replication, Management, Security, Monitoring, and more!
Apache Kafka 0.8 basic training - VerisignMichael Noll
Apache Kafka 0.8 basic training (120 slides) covering:
1. Introducing Kafka: history, Kafka at LinkedIn, Kafka adoption in the industry, why Kafka
2. Kafka core concepts: topics, partitions, replicas, producers, consumers, brokers
3. Operating Kafka: architecture, hardware specs, deploying, monitoring, P&S tuning
4. Developing Kafka apps: writing to Kafka, reading from Kafka, testing, serialization, compression, example apps
5. Playing with Kafka using Wirbelsturm
Audience: developers, operations, architects
Created by Michael G. Noll, Data Architect, Verisign, https://www.verisigninc.com/
Verisign is a global leader in domain names and internet security.
Tools mentioned:
- Wirbelsturm (https://github.com/miguno/wirbelsturm)
- kafka-storm-starter (https://github.com/miguno/kafka-storm-starter)
Blog post at:
http://www.michael-noll.com/blog/2014/08/18/apache-kafka-training-deck-and-tutorial/
Many thanks to the LinkedIn Engineering team (the creators of Kafka) and the Apache Kafka open source community!
Building Stream Processing Applications with Apache Kafka Using KSQL (Robin M...confluent
Robin is a Developer Advocate at Confluent, the company founded by the creators of Apache Kafka, as well as an Oracle Groundbreaker Ambassador. His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Hadoop, and into the current world with Kafka. His particular interests are analytics, systems architecture, performance testing and optimization. He blogs at http://cnfl.io/rmoff and http://rmoff.net/ and can be found tweeting grumpy geek thoughts as @rmoff. Outside of work he enjoys drinking good beer and eating fried breakfasts, although generally not at the same time.
Simplifying Migration from Kafka to Pulsar - Pulsar Summit NA 2021StreamNative
Complex/large-scale implementations of OSS systems, Kafka included, involve customizations and in-house developed tools and plugins. Transition from one system to another is a complicated process and making it iterative increases the chance of success. In this talk we’ll take a look at the Kafka Adaptor that enables use of Kafka Connect Sinks in the Pulsar ecosystem.
Low Code Integration with Apache Camel.pdfClaus Ibsen
Design your integration flows using Camel and JBang for a better developer experience, and make it easily production grade using Quarkus.
Claus Ibsen, Apache Camel lead & Senior Principal Software Engineer, Red Hat
Integrating systems in the age of Quarkus and CamelClaus Ibsen
Apache Camel has been the Swiss knife of integrating heterogeneous systems for more than a decade. Claus Ibsen explains how Camel adapts to the newest changes with microservices and cloud computing! Apache Camel integrations written on top of Quarkus start in a matter of milliseconds and consume just a few tens of megabytes of RAM. We will explain the technology and show a demo including the famous Quarkus dev mode. Then you will learn how the outstanding integration capabilities of Apache Camel enrich the serverless architectures based on Knative and CamelK!
Cloud-Native Integration with Apache Camel on Kubernetes (Copenhagen October ...Claus Ibsen
Cloud-native applications of the future will consist of hybrid workloads: stateful applications, batch jobs, microservices, and functions, wrapped as Linux containers and deployed via Kubernetes on any cloud.
In this session, we will explore key challenges with function interactions and coordination, addressing these problems using Enterprise Integration Patterns (EIP) and modern approaches with the latest innovations from the Apache Camel community:
- Apache Camel 3
- Camel K
- Camel Quarkus
Apache Camel is the Swiss army knife of integration, and the most powerful integration framework. In this session you will hear about the latest features in the brand new 3rd generation.
Camel K, is a lightweight integration platform that enables Enterprise Integration Patterns to be used natively on any Kubernetes cluster. When used in combination with Knative, a framework that adds serverless building blocks to Kubernetes, and the subatomic execution environment of Quarkus, Camel K can mix serverless features such as auto-scaling, scaling to zero, and event-based communication with the outstanding integration capabilities of Apache Camel.
We will show how Camel K works. We'll also use examples to demonstrate how Camel K makes it easier to connect to cloud services or enterprise applications using some of the 300 components that Camel provides.
Camel Day Italy 2021 - What's new in Camel 3Claus Ibsen
Slides for the 50 min presentation at Camel Day Italy 2021, where Claus Ibsen and Andrea Cosentino had the opporunity to give a more deep dive talk about the journey towards Camel 3, and what we have done to re-architect camel core in v3 to make it awesome for microservices, cloud native, kubernetes, quarkus, graalvm, knative, apache kafka.
Camel Day Italy 2021: https://www.meetup.com/it-IT/red-hat-developers-italy/events/275332376/
JEEConf 2018 - Camel microservices with Spring Boot and KubernetesClaus Ibsen
Apache Camel has fundamentally changed the way enterprise Java developers think about system-to-system integration by making enterprise integration patterns (EIP) a simple declaration in a lightweight application wrapped and delivered as a single JAR.
In this session, we’ll show you how to bring the best practices from the EIP world together with containers, running on top of Kubernetes, and deployed as Spring Boot microservices, which are both cloud-native and cloud-portable.
Building and designing cloud-native microservices impacts how we develop. We’ll discuss practices how to build distributed and fault-tolerant microservices with technologies such as Kubernetes Services, Netflix Hystrix, Camel EIP patterns, and Istio. You will see live demos of us killing containers to test fault tolerance, and more.
State of integration with Apache Camel (ApacheCon 2019)Claus Ibsen
Apache Camel is the leading open source integration framework, which has been around for over a decade. In this talk we will look back in history, to understand how the integration landscape has evolved from EAI, SOA, and ESB architectures up to microservices, and now with modern serverless and cloud native platforms. Apache Camel has been along for the ride. And we will look to the future and see how the latest release v3 of Apache Camel, is aimed for running modern cloud native workloads with Camel K. In this talk you will: Learn from history software integration, and why you should rely on existing, proven fully featured integration frameworks instead of rolling out your own DIY solutions. See how software integration is (still) important in today’s modern architectures and what role does Camel have in the new cloud native world. What is new and noteworthy in Apache Camel version 3
Developing Microservices with Apache CamelClaus Ibsen
Red Hat Microservices Architecture Day - New York, November 2015. Presented by Claus Ibsen.
Apache Camel is a very popular integration library that works very well with microservice architecture. This talk introduces you to Apache Camel and how you can easily get started with Camel on your computer. Then we cover how to create new Camel projects from scratch as microservices, which you can boot using Camel or Spring Boot, or other micro containers such as Jetty or fat JARs. We then take a look at what options you have for monitoring and managing your Camel microservices using tooling such as Jolokia, and hawtio web console.
Apache Camel has fundamentally changed the way enterprise Java™ developers think about system-to-system integration by making enterprise integration patterns (EIP) a simple declaration in a lightweight application wrapped and delivered as a single JAR.
In this session, we’ll show you how to bring the best practices from the enterprise integration world together with Linux containers, running on top of Kubernetes/OpenShift, and deployed as microservices, which are both cloud-native and cloud-portable.
This is a classic example of older technology not being used to its fullest, which Justin proves by walking through little-known configuration and optimization tricks that get data flowing reliably and efficiently – even for today’s complexity and scale. This session covers:
A – Camel basics, understanding Exchanges, Routes, and how to implement EIPs with them
B – Examples of real implementations of common EIPs like Content Based Routers and Recipient Lists
C – Integration of Camel with common endpoints, like JMS, FTP, and HTTP
Apache Camel Introduction & What's in the boxClaus Ibsen
Slides from JavaBin talk in Grimstad Norway, presented by Claus Ibsen in February 2016.
This slide deck is full up to date with latest Apache Camel 2.16.2 release and includes additional slides to present many of the features that Apache Camel provides out of the box.
Meetup Melbourne August 2017 - Agile Integration with Apache Camel microservi...Claus Ibsen
How to get started developing Camel microservices (or any Java technology for that matter) on a local Kubernetes cluster from zero to deployment.
As a Java developer it may be daunting to know how to get started how to develop container applications that runs on Kubernetes cluster.
Using minikube its very easy to run a local cluster and with the help of fabric8 tooling its even easier to install and run using familiar tools like Maven. In this talk we will build a set of Apache Camel and Java based Microservices that uses Spring Boot and WildFly Swarm. With the help of fabric8 maven tooling you will see how to build, deploy, and run your Java projects on a Kubernetes cluster (local or remote). And even live debugging is easy to do as well.
We will discuss practices how to build distributed and fault tolerant microservices using technologies such as Kubernetes Services, Netflix Hysterix, and Camel EIP patterns for fault tolerance. In the talk you will also hear about related open source projects where you can go explore more such as fabric8, openshift.io, istio, etc. This presentation is a 50/50 mix between slides and demo.
Building Out Your Kafka Developer CDC Ecosystemconfluent
Building Out Your Kafka Developer CDC Ecosystem, Neil Buesing, VP of Streaming Technologies for Object Partners (OPI)
Meetup Link: https://www.meetup.com/TwinCities-Apache-Kafka/events/272944023/
Developing Java based microservices ready for the world of containersClaus Ibsen
The so-called experts are saying microservices and containers will
change the way we build, maintain, operate, and integrate
applications. This talk is intended for Java developers who wants to hear and see how you can develop Java microservices that are ready to run in containers.
In this talk we will build a set of Java based Microservices that uses a mix of technologies with Apache Camel, Spring Boot and WildFly Swarm.
You will see how we can build small discrete microservices with these Java technologies and build and deploy on the Kubernets container platform.
We will discuss practices how to build distributed and fault tolerant microservices using technologies such as Kubernetes Services, Camel EIPs, and Netflixx Hysterix.
And the self healing and fault tolerant aspects of the Kubernetes platform is also discussed and demoed when we let the chaos monkeys loose killing containers.
This talk is a 50/50 mix between slides and demo.
The talk was presented at JDKIO on September 13th 2016.
Camel Kafka Connectors: Tune Kafka to “Speak” with (Almost) Everything (Andre...HostedbyConfluent
Apache Kafka is getting used as an event backbone in new organizations every day. We would love to send every byte of data through the event bus. However, most of the time, connecting to simple third party applications and services becomes a headache that involves several lines of code and additional applications. As a result, connecting Kafka to services like Google Sheets, communication tools such as Slack or Telegram, or even the omnipresent Salesforce, is a challenge nobody wants to face. Wouldn’t you like to have hundreds of connectors readily available out-of-the-box to solve this problem?
Due to these challenges, communities like Apache Camel are working on how to speed up development of key areas of the modern application, like integration. The Camel Kafka Connect project, from the Apache foundation, has enabled their vastly set of connectors to interact with Kafka Connect natively. So, developers can start sending and receiving data from Kafka to and from their preferred services and applications in no time without a single line of code.
In summary, during this session we will:
- Introduce you to the Camel Kafka Connector sub-project from Apache Camel
- Go over the list of connectors available as part of the project
- Showcase a couple of examples of integrations using the connectors
- Share some guidelines on how to get started with the Camel Kafka Connectors
Show Me Kafka Tools That Will Increase My Productivity! (Stephane Maarek, Dat...confluent
In the Apache Kafka world, there is such a great diversity of open source tools available (I counted over 50!) that it’s easy to get lost. Over the years I have dealt with Kafka, I have learned to particularly enjoy a few of them that save me a tremendous amount of time over performing manual tasks. I will be sharing my experience and doing live demos of my favorite Kafka tools, so that you too can hopefully increase your productivity and efficiency when managing and administering Kafka. Come learn about the latest and greatest tools for CLI, UI, Replication, Management, Security, Monitoring, and more!
Apache Kafka 0.8 basic training - VerisignMichael Noll
Apache Kafka 0.8 basic training (120 slides) covering:
1. Introducing Kafka: history, Kafka at LinkedIn, Kafka adoption in the industry, why Kafka
2. Kafka core concepts: topics, partitions, replicas, producers, consumers, brokers
3. Operating Kafka: architecture, hardware specs, deploying, monitoring, P&S tuning
4. Developing Kafka apps: writing to Kafka, reading from Kafka, testing, serialization, compression, example apps
5. Playing with Kafka using Wirbelsturm
Audience: developers, operations, architects
Created by Michael G. Noll, Data Architect, Verisign, https://www.verisigninc.com/
Verisign is a global leader in domain names and internet security.
Tools mentioned:
- Wirbelsturm (https://github.com/miguno/wirbelsturm)
- kafka-storm-starter (https://github.com/miguno/kafka-storm-starter)
Blog post at:
http://www.michael-noll.com/blog/2014/08/18/apache-kafka-training-deck-and-tutorial/
Many thanks to the LinkedIn Engineering team (the creators of Kafka) and the Apache Kafka open source community!
Building Stream Processing Applications with Apache Kafka Using KSQL (Robin M...confluent
Robin is a Developer Advocate at Confluent, the company founded by the creators of Apache Kafka, as well as an Oracle Groundbreaker Ambassador. His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Hadoop, and into the current world with Kafka. His particular interests are analytics, systems architecture, performance testing and optimization. He blogs at http://cnfl.io/rmoff and http://rmoff.net/ and can be found tweeting grumpy geek thoughts as @rmoff. Outside of work he enjoys drinking good beer and eating fried breakfasts, although generally not at the same time.
Simplifying Migration from Kafka to Pulsar - Pulsar Summit NA 2021StreamNative
Complex/large-scale implementations of OSS systems, Kafka included, involve customizations and in-house developed tools and plugins. Transition from one system to another is a complicated process and making it iterative increases the chance of success. In this talk we’ll take a look at the Kafka Adaptor that enables use of Kafka Connect Sinks in the Pulsar ecosystem.
Low Code Integration with Apache Camel.pdfClaus Ibsen
Design your integration flows using Camel and JBang for a better developer experience, and make it easily production grade using Quarkus.
Claus Ibsen, Apache Camel lead & Senior Principal Software Engineer, Red Hat
2 hour session where I cover what is Apache Camel, latest news on the upcoming Camel v3, and then the main topic of the talk is the new Camel K sub-project for running integrations natively on the cloud with kubernetes. The last part of the talk is about running Camel with GraalVM / Quarkus to archive native compiled binaries that has impressive startup and footprint.
2 hour session where I cover what is Apache Camel, latest news on the upcoming Camel v3, and then the main topic of the talk is the new Camel K sub-project for running integrations natively on the cloud with kubernetes. The last part of the talk is about running Camel with GraalVM / Quarkus to archive native compiled binaries that has impressive startup and footprint.
Introduction to Containers - AWS Startup Day Johannesburg.pdfAmazon Web Services
In this session, we cover all the options for running containers on AWS. This will include an intro of container concepts, and an overview to different services like ECS, EKS, ECR and Fargate. We cover topics like: how to choose the right orchestration platform for your workload, some different tools that are out there to make the process easier, and how to find more information and support as you work.
Build Real-Time Streaming ETL Pipelines With Akka Streams, Alpakka And Apache...Lightbend
Things were easier when all our data used to be offline, analyzed overnight in batches. Now our data is online, in motion, and generated constantly. For architects, developers and their businesses, this means that there is an urgent need for tools and applications that can deliver real-time (or near real-time) streaming ETL capabilities.
In this session by Konrad Malawski, author, speaker and Senior Akka Engineer at Lightbend, you will learn how to build these streaming ETL pipelines with Akka Streams, Alpakka and Apache Kafka, and why they matter to enterprises that are increasingly turning to streaming Fast Data applications.
Real-Time Log Analysis with Apache Mesos, Kafka and CassandraJoe Stein
Slides for our solution we developed for using Mesos, Docker, Kafka, Spark, Cassandra and Solr (DataStax Enterprise Edition) all developed in Go for doing realtime log analysis at scale. Many organizations either need or want log analysis in real time where you can see within a second what is happening within your entire infrastructure. Today, with the hardware available and software systems we have in place, you can develop, build and use as a service these solutions.
Apache Kafka - Scalable Message Processing and more!Guido Schmutz
After a quick overview and introduction of Apache Kafka, this session cover two components which extend the core of Apache Kafka: Kafka Connect and Kafka Streams/KSQL.
Kafka Connects role is to access data from the out-side-world and make it available inside Kafka by publishing it into a Kafka topic. On the other hand, Kafka Connect is also responsible to transport information from inside Kafka to the outside world, which could be a database or a file system. There are many existing connectors for different source and target systems available out-of-the-box, either provided by the community or by Confluent or other vendors. You simply configure these connectors and off you go.
Kafka Streams is a light-weight component which extends Kafka with stream processing functionality. By that, Kafka can now not only reliably and scalable transport events and messages through the Kafka broker but also analyse and process these event in real-time. Interestingly Kafka Streams does not provide its own cluster infrastructure and it is also not meant to run on a Kafka cluster. The idea is to run Kafka Streams where it makes sense, which can be inside a “normal” Java application, inside a Web container or on a more modern containerized (cloud) infrastructure, such as Mesos, Kubernetes or Docker. Kafka Streams has a lot of interesting features, such as reliable state handling, queryable state and much more. KSQL is a streaming engine for Apache Kafka, providing a simple and completely interactive SQL interface for processing data in Kafka.
The Internet of Things if growing, but how can you build your own connected objects?
Together with MQTT, CoAP is one of the popular IoT protocols. It provides answers to the typical IoT constraints: it is bandwidth efficient and fits in constrained embedded environment while providing friendly and discoverable RESTful API.
This tutorial aims at giving you a hands-on experience with CoAP by showing you the power and simplicity of the Eclipse Californium library for developing real world IoT application.
Agenda:
- Introduction to CoAP
- Live discovery of connected CoAP objects using the Copper plugin for Firefox
- Presentation of more advanced CoAP topics (proxy, resource directory, device management with LWM2M)
- Presentation of Eclipse Californium, a CoAP library for Java
- Exercise: complete the provided Java code to create your own Internet of Things... thing!
Kafka is primarily used to build real-time streaming data pipelines and applications that adapt to the data streams. It combines messaging, storage, and stream processing to allow storage and analysis of both historical and real-time data.
Apache Kafka - Scalable Message-Processing and more !Guido Schmutz
Presentation @ Oracle Code Berlin.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. How can we make sure that all these events are accepted and forwarded in an efficient and reliable way? This is where Apache Kafaka comes into play, a distirbuted, highly-scalable messaging broker, build for exchanging huge amounts of messages between a source and a target. This session will start with an introduction of Apache and presents the role of Apache Kafka in a modern data / information architecture and the advantages it brings to the table.
In this presentation Guido Schmutz talks about Apache Kafka, Kafka Core, Kafka Connect, Kafka Streams, Kafka and "Big Data"/"Fast Data Ecosystems, Confluent Data Platform and Kafka in Architecture.
Spark Streaming has supported Kafka since it's inception, but a lot has changed since those times, both in Spark and Kafka sides, to make this integration more fault-tolerant and reliable.Apache Kafka 0.10 (actually since 0.9) introduced the new Consumer API, built on top of a new group coordination protocol provided by Kafka itself.
So a new Spark Streaming integration comes to the playground, with a similar design to the 0.8 Direct DStream approach. However, there are notable differences in usage, and many exciting new features. In this talk, we will cover what are the main differences between this new integration and the previous one (for Kafka 0.8), and why Direct DStreams have replaced Receivers for good. We will also see how to achieve different semantics (at least one, at most one, exactly once) with code examples.
Finally, we will briefly introduce the usage of this integration in Billy Mobile to ingest and process the continuous stream of events from our AdNetwork.
Steps to Building a Streaming ETL Pipeline with Apache Kafka® and KSQLconfluent
Speaker: Robin Moffatt, Developer Advocate, Confluent
In this talk, we'll build a streaming data pipeline using nothing but our bare hands, the Kafka Connect API and KSQL. We'll stream data in from MySQL, transform it with KSQL and stream it out to Elasticsearch. Options for integrating databases with Kafka using CDC and Kafka Connect will be covered as well.
This is part 2 of 3 in Streaming ETL - The New Data Integration series.
Watch the recording: https://videos.confluent.io/watch/4cVXUQ2jCLgJNmg4kjCRqo?.
Similar to DevNation Live 2020 - What's new with Apache Camel 3 (20)
We start with an introduction to what Apache Camel is, and how you can use Camel to make integration much easier. Allowing you to focus on your business logic, rather than low level messaging protocols, and transports. You will also hear what other features Camel provides out of the box, which can make integration much easier for you.
We look into web console tooling that allows you to get insight into your running Apache Camel applications, which has among others visual route diagrams with tracing/debugging and profiling capabilities. In addition to the web tooling we will also show you other tools in the making.
ApacheCon EU 2016 - Apache Camel the integration libraryClaus Ibsen
This presentation will demonstrate to developers involved with integration how the Apache Camel project can make your life much easier.
We start with an introduction to what Apache Camel is, and how you can use Camel to make integration much easier. Allowing you to focus on your business logic, rather than low level messaging protocols, and transports.
You will hear how Apache Camel is related Enterprise Integration Patterns which you can use in your architectural designs and as well in Java or XML code, running on the JVM with Camel.
You will also hear what other features Camel provides out of the box, which can make integration much easier for you.
We start with an introduction to what Apache Camel is, and how you can use Camel to make integration much easier. Allowing you to focus on your business logic, rather than low level messaging protocols, and transports.
You will hear how Apache Camel is related Enterprise Integration
Patterns which you can use in your architectural designs and as well in Java or XML code, running on the JVM with Camel.
You will also hear what other features Camel provides out of the box, which can make integration much easier for you.
We also take a moment to look at web console tooling that allows you to get insight into your running Apache Camel applications, which has among others visual route diagrams with tracing/debugging and profiling capabilities. In addition to the web tooling we will also show you other tools in the making.
This talk was presented at JDKIO on September 13th 2016.
Developing Java based microservices ready for the world of containersClaus Ibsen
Developing Java based microservices ready for the world of containers
The so-called experts are saying microservices and containers will change the way we build, maintain, operate, and integrate applications. This talk is intended for Java developers who wants to hear and see how you can develop Java microservices that are ready to run in containers.
In this talk we will build a set of Java based Microservices that uses a mix of technologies with:
- Spring Boot with Apache Camel
- Apache Tomcat with Apache Camel
You will see how we can build small discrete microservices with these Java technologies and build and deploy on the Kubernets/OpenShift3 container platform.
We will discuss practices how to build distributed and fault tolerant microservices using technologies such as Kubernetes Services, Camel EIPs, Netflixx Hysterix, and Ribbon.
We will use Zipkin service tracing across all four Java based microservices to provide a visualization of timings and help highlight latency problems in our mesh of microservices.
And the self healing and fault tolerant aspects of the Kubernetes/OpenShift3 platform is also discussed and demoed when we let the chaos monkeys loose killing containers.
This talk is a 50/50 mix between slides and demo.
Riga Dev Day 2016 - Microservices with Apache Camel & fabric8 on KubernetesClaus Ibsen
The so-called experts are saying microservices and containers will change the way we build, maintain, operate, and integrate applications. This talk is intended for Java developers who wants to hear and see how you can develop Java microservices that runs in containers.
This talk uses Apache Camel as the Java library to build microservice architectured applications. At first we introduce you to Apache Camel and show how you can easily get started with Camel on your computer, and build a microservice application that runs on CDI and Spring-Boot.
The second part of this talk is about running Camel (or any Java project) on Docker and Kubernetes.
We start covering the basic concepts you as a Java developer must understand about Kubernetes. Then we show how to migrate Java projects to build as Docker images and deployable on Kubernetes, with help from fabric8 Maven tooling.
You will also hear about how to make your microservices scalable and distributed by leveraging the facilities that Kubernetes provides for truly distributed services with load balancing and location independence.
You will also see how to manage your container using the Kubernetes CLI and the fabric8 web console.
At the end we have a bit of fun with scaling up and down your Camel application to see how resilient the application is, when we kill containers.
This talk is a 50/50 mix between slides and demo.
Microservices with apache_camel_barcelonaClaus Ibsen
Apache Camel is a very popular integration library that works very well with microservice architecture.
This talk introduces you to Apache Camel and how you can easily get started with Camel on your computer.
Then we cover how to create new Camel projects from scratch as micro services which you can boot using Camel or Spring Boot, or other micro containers such as Jetty or fat JARs.
We then take a look at what options you have for monitoring and managing your Camel microservices using tooling such as Jolokia, and hawtio web console.
The second part of this talk is about running Camel in the cloud.We start by showing you how you can use the Maven Docker Plugin to create a docker image of your Camel application and run it using docker on a single host. Then kubernetes enters the stage and we take a look at how you can deploy your docker images on a kubernetes cloud platform, and how the fabric8 tooling can make this much easier for the Java developers.
At the end of this talk you will have learned about and seen in practice how to take a Java Camel project from scratch, turn that into a docker image, and how you can deploy those docker images in a scalable cloud platform based on Google's kubernetes.
Apache Camel is a very popular integration library that works very well with microservice architecture.
This talk introduces you to Apache Camel and how you can easily get started with Camel on your computer.
Then we cover how to create new Camel projects from scratch as micro services which you can boot using Camel or Spring Boot, or other micro containers such as Jetty or fat JARs. We then take a look at what options you have for monitoring and managing your Camel microservices
using tooling such as Jolokia, and hawtio web console.
The second part of this talk is about running Camel in the cloud. We start by showing you how you can use the Maven Docker Plugin to create a docker image of your Camel application and run it using docker on a single host. Then kubernetes enters the stage and we take a look at how you can deploy your docker images on a kubernetes cloud platform, and how thenfabric8 tooling can make this much easier for the Java developers.
At the end of this talk you will have learned about and seen in practice how to take a Java Camel project from scratch, turn that into a docker image, and how you can deploy those docker images in a scalable cloud platform based on Google's kubernetes.
Integration using Apache Camel and GroovyClaus Ibsen
Apache Camel is versatile integration library that supports a huge number of components, enterprise integration patterns, and programming languages.
In this this talk I first introduce you to Apache Camel and its concepts. Then we move on to see how you can use the Groovy programming language with Camel as a first class Groovy DSL to build integration flows.
You will also learn how to build a new Camel and Groovy app from scratch from a live demo.
And we also touch how you can use Camel from grails using the grails-camel plugin.
I will also show the web console tools that give you insight into your running Apache Camel applications, including visual route diagrams with tracing, debugging, and profiling capabilities.
This session will be taught with a 50/50 mix of slides and live demos, and it will conclude with Q&A time.
Getting Started with Apache Camel at DevNation 2014Claus Ibsen
Get off to a good start with Apache Camel. This session will give you an introduction to Apache Camel and teach you:
- How Camel is related to enterprise integration patterns (EIPs).
- How to use EIPs in Camel routes written in Java code or XML files.
- How to get started developing with Camel, including how to set up new projects from scratch using Maven and Eclipse.
- With a live demo, how to build Camel applications in Java, Spring, and OSGi Blueprint.
- How ready-to-use features make integration much easier.
- About the web console tools that give you insight into your running Apache Camel applications, including visual route diagrams with tracing, debugging, and profiling capabilities.
- Useful resources to learn more about Camel.
This session will be taught with a 50/50 mix of slides and live demos, and it will conclude with Q&A time.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
Why React Native as a Strategic Advantage for Startup Innovation.pdfayushiqss
Do you know that React Native is being increasingly adopted by startups as well as big companies in the mobile app development industry? Big names like Facebook, Instagram, and Pinterest have already integrated this robust open-source framework.
In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
Modern design is crucial in today's digital environment, and this is especially true for SharePoint intranets. The design of these digital hubs is critical to user engagement and productivity enhancement. They are the cornerstone of internal collaboration and interaction within enterprises.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
2. About
Claus Ibsen
● Senior Principal Software Engineer at Red Hat
● ASF Member & Java Champion
● Apache Camel tech lead
● Author of Camel in Action books
● Based in Denmark
● Blog: http://www.davsclaus.com
● Twitter: @davsclaus
● Github: davsclaus
3. About
Andrea Cosentino
● Senior Software Engineer at Red Hat
● Apache Camel PMC chair
● Apache Camel tech lead
● Based in Italy
● Twitter: @oscerd2 Github: oscerd
4. Agenda
● What’s Camel
● Camel 3 Projects
● Camel Releases
● Camel K
● Camel Quarkus
● Camel Kafka Connector
● More Material
● Q & A
7. What is Apache Camel
The giant swiss knife 😅
Packed with
a lot of
functionality
8. What is Apache Camel
● Java based integration framework (library)
● Based on Integration Patterns (EIPs)
● Comes with 300+ components (connectors)
● DSL (Java or XML) to describe integration flow (routes)
● Can integrate everything ... almost everything
10. Camel Community
● The biggest and most active community for open source integration software
● 600+ unique contributors
● 3800+ pull requests (mostly from external contributors)
● 13+ years of development and one of the most active Apache projects
24. Apache Camel 3 - Projects
Camel
Swiss knife of integration
Camel Spring Boot
Camel on
Spring Boot
25. Apache Camel 3 - Projects
Camel
Swiss knife of integration
Camel Spring Boot
Camel on
Spring Boot
Camel Karaf
Camel on
Apache Karaf / OSGi
26. Apache Camel 3 - Projects
Camel K
Camel on
Kubernetes & Knative
Camel
Swiss knife of integration
Camel Spring Boot
Camel on
Spring Boot
Camel Karaf
Camel on
Apache Karaf / OSGi
27. Apache Camel 3 - Projects
Camel Quarkus
Optimized JVM & Native
compiled Java (GraalVM)
Camel K
Camel on
Kubernetes & Knative
Camel
Swiss knife of integration
Camel Spring Boot
Camel on
Spring Boot
Camel Karaf
Camel on
Apache Karaf / OSGi
28. Apache Camel 3 - Projects
Camel Quarkus
Optimized JVM & Native
compiled Java (GraalVM)
Camel K
Camel on
Kubernetes & Knative
Camel
Swiss knife of integration
Camel Spring Boot
Camel on
Spring Boot
Camel Karaf
Camel on
Apache Karaf / OSGi
Camel Kafka Connector
Kafka Connector with Camel
30. Camel - LTS vs Non-LTS Releases
Release Date LTS LTS EOL Java
2.25 Jan 2020 Yes Jan 2021 8
3.0 Nov 2019 No 8,11
3.1 Feb 202 No 8,11
3.2 Apr 2020 No 8,11
3.3 May 2020 No 8,11
3.4 Jun 2020 Yes Jun 2021 8,11
3.5 Aug 2020 No 11
3.6 Oct 2020 No 11
3.7 Dec 2020 Yes Dec 2021 11,14?
Schedule is subject
for change
32. A lightweight integration platform, based on Apache Camel,
born on Kubernetes, with serverless superpowers.
What is Apache Camel K ?
33. A lightweight integration platform, based on Apache Camel,
born on Kubernetes, with serverless superpowers.
What is Apache Camel K ?
Runs on “vanilla” Kubernetes (1) ...
K
1.
34. A lightweight integration platform, based on Apache Camel,
born on Kubernetes, with serverless superpowers.
What is Apache Camel K ?
Runs on “vanilla” Kubernetes (1), Openshift (2) ...
K
1.
K
2.
35. A lightweight integration platform, based on Apache Camel,
born on Kubernetes, with serverless superpowers.
What is Apache Camel K ?
Runs on “vanilla” Kubernetes (1), Openshift (2) and gives its best on a Knative-powered cluster (3)!
K
1.
K
2.
K
3.
40. Architecture of Camel K
Dev Environment Remote Cloud
kamel CLI
Camel K
Operator
“Integration”
Custom
Resource
Running Pod
Live updates!
Fast redeploy!
Less than 1 second!
Tailored for cloud-native development experience
46. Java Density Problem
CONTAINER ORCHESTRATION
Node Node Node
Traditional Cloud-Native
Java Stack
Traditional Cloud-Native
Java Stack
Traditional Cloud-Native
Java Stack
Traditional Cloud-Native
Java Stack
NodeJS
NodeJS
NodeJS
NodeJS
NodeJS
NodeJS
NodeJS
Go Go Go
Go Go Go
Go Go Go
Go Go Go
Go Go Go
Go Go Go
Go Go Go
https://developers.redhat.com/blog/2017/03/14/java-inside-docker/
50. What is Quarkus ?
Supersonic Subatomic Java
A Kubernetes Native Java stack tailored for GraalVM &
OpenJDK HotSpot, crafted from the best of breed Java libraries
and standards
56. What is Apache Kafka?
● Kafka is known as
○ a distributed streaming platform
○ or a pub/sub messaging broker
● It’s an ecosystem
○ Multiple components part of Apache Kafka
○ A lot of 3rd party integrations
○ One of them is Kafka Connect
Streams
API
Producer
API
Consumer
API
3rd party
tools
Mirror
Maker
Connect
57. What is Kafka Connect?
● It is a framework that helps you to integrate Kafka with other systems
○ A user can define source and sink connectors to stream data in/out of Kafka brokers
○ Connectors are plugable - you can use one of the many connectors available or write your own
● Distributed and scalable by default
● Automatic offset management
● Simple transformations
● Streaming / batch integration
Kafka Connect:
Source
Connector
Kafka Connect:
Sink
Connector
External
System
External
System
58. What is Camel Kafka Connector?
● A Kafka Connector built on top of Apache Camel
● Started as an internal proof-of-concept
○ A sub-project of the Apache Camel
○ Donated by Red Hat to the ASF on December 2019
● Reuses in a simple way most of the Camel components as Kafka sink and sources
● Release 0.3.0 on its way
● Autogenerated documentation and connectors list:
https://camel.apache.org/camel-kafka-connector/latest/connectors.html
59. Demo S3 to SQS
● S3 Source connector (camel-aws-s3)
● SQS Sink connector (camel-aws-sqs)
● A file loaded on a bucket -> file content in a SQS Queue
To run Kafka on
Kubernetes
SQS
63. ● Event-driven serverless applications with Camel K
(Luca Burgazzoli & Nicola Ferraro)
DevNation Tech Talk July 9th 2020
Camel K
Camel on
Kubernetes & Knative
64. More Material
● Quick 2 min Camel K demo
https://www.youtube.com/watch?v=I-g2xt-Qcb8
● 10 min video - Run 100 Camels quickly with Came, Quarkus and GraalVM
https://www.youtube.com/watch?v=4lXSf8DBQkQ
● Camel Kafka Connector blog and 25 min video
https://developers.redhat.com/blog/2020/05/19/extending-kafka-connectivity-with-ap
ache-camel-kafka-connectors
● Camel Examples
https://github.com/apache/camel-examples
● Camel K Examples
https://github.com/apache/camel-k/tree/master/examples
● Camel Kafka Connector Examples
https://github.com/apache/camel-kafka-connector-examples
65. Any Questions ?
Follow us on Twitter
@davsclaus
@oscerd2
@ApacheCamelhttps://github.com/apache/camel
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