Os calos que a vida de empreendedor me deixou

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Edson Yanaga

Palestra da trilha de Empreendedorismo do TDC2012 Florianópolis: Os calos que a vida de empreendedor me deixou

Tecnologia

Os calos que a vida de
empreendedor me deixou
Edson Yanaga
@edsonyanaga

Edson Yanaga

• Desenvolvedor/Consultor/Professor/
Palestrante/JUG Leader (aleatoriamente)
• Bacharel em Ciência da Computação/UEM
• Mestre em Engenharia Elétrica/UTFPR
• Desenvolvedor Java desde 1997
• Administrador Unix desde 1999
• Sócio-Diretor da Ínsula Tecnologia
• Instrutor Globalcode Maringá

Edson Yanaga

• Oracle Certiﬁed Professional, Java Platform,
Enterprise Edition 6 Enterprise JavaBeans Developer
• Certiﬁed ScrumMaster
• Sun Certiﬁed Enterprise Architect for the Java
Platform, Enterprise Edition 5 (i)
• Sun Certiﬁed Developer for Java Web Services 5
• Sun Certiﬁed Specialist for NetBeans IDE
• Sun Certiﬁed Web Component Developer for J2EE 1.4
• Sun Certiﬁed Programmer for Java 2 Platform 1.4

Obrigado!
http://www.yanaga.com.br
@edsonyanaga

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Destaque

Scale changes everything. What once was quite adequate for enterprise messaging can't scale to support "Internet of Things". We need new protocols, patterns and architectures to support this new world. This session will start with basic introduction to the concept of Internet of Things. Next it will discuss general technical challenges involved with the concept and explain why it is becoming mainstream now. Now we’re ready to start talking about solutions. We will introduce some messaging patterns (like telemetry and command/control) and protocols (such as MQTT and AMQP) used in these scenarios. Finally we will see how Apache ActiveMQ is gearing up for this race. We will show tips for horizontal and vertical scaling of the broker, related projects that can help with deployments and what the future development road map looks like.

CDK 2.0: Docker, Kubernetes, And OSE On Your Desk (Langdon White)

Red Hat Developers

By Thomas Qvarnstrom High Performance Data Storage in a Microservices Environment This session explains how JBoss Data Grid (Infinispan) can be used as a high performance data storage and how to use Apache Spark analytics to avoid data silos. When building microservices it’s a common practice to use a separate data store per service so that it can scale together with the service. Even if this scales better and enables individual release schedules per services it also leads to more data silos.

High Performance Data Storage in a Microservices Environment

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JavaOne 2016: Kubernetes introduction for Java Developers

Rafael Benevides

Containers: Under The Hood (Vincent Batts)

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MicroServices for Java Developers

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By Rafael Benevides and Edson Yanaga Yes, Docker is great. We are all very aware of that, but now it’s time to take the next step: wrapping it all and deploying to a production environment. For this scenario, we need something more. For that “more,” we have Kubernetes by Google, a container platform based on the same technology used to deploy billions of containers per month on Google’s infrastructure. Ready to leverage your Docker skills and package your current Java app (WAR, EAR, or JAR)? Come to this session to see how your current Docker skill set can be easily mapped to Kubernetes concepts and commands. And get ready to deploy your containers in production.

Kubernetes for Java Developers

Red Hat Developers

Delivering an app or service fast and frequently to production isn't the same as delivering the app or service fast and frequently to its intended users. Before an app is actually 'live' it has to run the gauntlet of production deployment that stands between it and real, live users. While DevOps has helped organizations make huge strides toward continuous delivery in dev and test environments, the production environment remains a very real obstacle in realizing continuous deployment. The biggest hurdle in that obstacle course is a narrow definition of DevOps that fails to include a broad set of technologies and tools outside the Dev and Ops domain. In this session we'll explore the underlying elements of a comprehensive DevOps approach (SDN, CD/CI, and Agile) and how they mix, match, and combine to enable the operational transformation DevOps promises to achieve the ultimate goal of IT agility: continuous deployment.

DevOps Moves To Production (Lori MacVittie)

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By Edson Yanaga and Rafael Benevides The “deploy moment” is an occasion that still gives many developers the shivers. But it shouldn’t be this way (at least not every time). Luckily enough, we have tools and processes today that enable us to turn the deploy moment into a usual activity. Check out this session to learn how we can evolve our Java deployment process from the very basic to zero downtime and then apply some very interesting strategies such as blue/green, A/B, and Canary deployments.

The Deploy Master: From Basic to Zero Downtime, Blue/Green, A/B and Canary

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By Clement Escoffier Sorry, there is no free lunch—distributed applications are complex. You can embrace any trends such as microservices, but developing a distributed application is a challenge. Why? Distributed systems have many reasons to fail: technically they’re complicated, and the theory behind distributed systems is also complicated. Vert.x is a toolkit for building reactive distributed applications on top of the Java Virtual Machine in Java, JavaScript, Groovy, Ruby, or Ceylon. Vert.x does not hide the complexity of distributed applications; it lets you manage it. Vert.x applications are able to manage failures, can use several protocols and interaction styles, can handle heavy loads, and can cope with most of the requirements of modern applications.

Reactive Distributed Applications with Vert.x

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As developers we have one main goal: solve problems through software development. For that, the code we write has to be put to use, in the hands of the intended user. But more often then not, our code get stuck in interminable delivery processes... But we can do better, and we can create streamlined delivery pipelines, and implement continuous delivery and deploy processes in our projects. And one of the most promising technologies to get our code ready to solve real problems is software containers. This panel will bring together developers that understand the benefits of containers technologies, to clarify their importance, their problems, and how to apply to real world projects.

Java and DevOps: Supercharge Your Delivery Pipeline with Containers

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By Rafael Benevides and Christian Posta A lot of functionality necessary for running in a microservices architecture have been built into Kubernetes; why would you re-invent the wheel with lots of complicated client-side libraries? Have you ever asked why you should use containers and what are the benefits for your application? This talk will present a microservices application that have been built using different Java platforms: WildFly Swarm and Vert.x. Then we will deploy this application in a Kubernetes cluster to present the advantages of containers for MSA (Microservices Architectures) and DevOps. The attendees will learn how to create, edit, build, deploy Java Microservices, and also how to perform service discovery, rolling updates, persistent volumes and much more. Finally we will fix a bug and see how a CI/CD Pipeline automates the process and reduces the deployment time.

Microservices with Docker, Kubernetes, and Jenkins

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Red Hat Software Collections, OpenShift and the Red Hat Container Development Kit open up many new possibilities for Python developers targeting Red Hat Enterprise Linux. At the same time, the wider Python ecosystem is undergoing two significant transitions - one being the ongoing migration from Python 2 to Python 3, and the other the shift to correctly validating HTTPS connections by default. In this session we will cover the currently available options for developing with Python on Red Hat platforms, as well as provide some insight into where things are headed in the context of the wider Python ecosystem.

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Destaque (12)

CDK 2.0: Docker, Kubernetes, And OSE On Your Desk (Langdon White)

High Performance Data Storage in a Microservices Environment

JavaOne 2016: Kubernetes introduction for Java Developers

Containers: Under The Hood (Vincent Batts)

MicroServices for Java Developers

Kubernetes for Java Developers

DevOps Moves To Production (Lori MacVittie)

The Deploy Master: From Basic to Zero Downtime, Blue/Green, A/B and Canary

Reactive Distributed Applications with Vert.x

Java and DevOps: Supercharge Your Delivery Pipeline with Containers

Microservices with Docker, Kubernetes, and Jenkins

Developing In Python On Red Hat Platforms (Nick Coghlan & Graham Dumpleton)

Os calos que a vida de empreendedor me deixou

1. Os calos que a vida de empreendedor me deixou Edson Yanaga @edsonyanaga

2. Edson Yanaga • Desenvolvedor/Consultor/Professor/ Palestrante/JUG Leader (aleatoriamente) • Bacharel em Ciência da Computação/UEM • Mestre em Engenharia Elétrica/UTFPR • Desenvolvedor Java desde 1997 • Administrador Unix desde 1999 • Sócio-Diretor da Ínsula Tecnologia • Instrutor Globalcode Maringá

3. Edson Yanaga • Oracle Certified Professional, Java Platform, Enterprise Edition 6 Enterprise JavaBeans Developer • Certified ScrumMaster • Sun Certified Enterprise Architect for the Java Platform, Enterprise Edition 5 (i) • Sun Certified Developer for Java Web Services 5 • Sun Certified Specialist for NetBeans IDE • Sun Certified Web Component Developer for J2EE 1.4 • Sun Certified Programmer for Java 2 Platform 1.4

4. Conhecimento ≠ Dinheiro

5. Mercado > Produto

6. Pulverize a receita

7. Precisa de sorte...

8. Obrigado! http://www.yanaga.com.br @edsonyanaga

Os calos que a vida de empreendedor me deixou

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Os calos que a vida de empreendedor me deixou