Java EE microservices architecture - evolving the monolith

The document outlines the roadmap and vision for Cloud Foundry, including: - The mission is to create an open source PaaS with a thriving ecosystem that allows for continuous delivery and an agile experience. - The vision includes features like instant routing, log aggregation, metrics/telemetry, access controls, high availability, and extensibility. - Key areas of focus are applications, services, and the platform (BOSH). This includes features for application policy, routing, runtime, logs/metrics, and identity/security. - The roadmap is agile but focuses on areas like the Diego project, Docker support, .NET runtime, loggregator improvements, and service

From noted SQL Server expert and author Kevin Kline - Let’s face it. You can effectively do many IT jobs related to Microsoft SQL Server without knowing the internals of how SQL Server works. Many great developers, DBAs, and designers get their day-to-day work completed on time and with reasonable quality while never really knowing what’s happening behind the scenes. But if you want to take your skills to the next level, it’s critical to know SQL Server’s internal processes and architecture. This session will answer questions like: - What are the various areas of memory inside of SQL Server? - How are queries handled behind the scenes? - What does SQL Server do with procedural code, like functions, procedures, and triggers? - What happens during checkpoints? Lazywrites? - How are IOs handled with regards to transaction logs and database? - What happens when transaction logs and databases grow or shrinks? This fast paced session will take you through many aspects of the internal operations of SQL Server and, for those topics we don’t cover, will point you to resources where you can get more information.

The document discusses common patterns and approaches for scaling web architectures. It covers topics like load balancing, caching, database scaling through replication and sharding, high availability, and storing large files across multiple servers and data centers. The overall goal is to discuss how to architect systems that can scale horizontally to handle increasing traffic and data sizes.

This document discusses scaling applications and services. It recommends taking a vertical approach by breaking monolithic applications into microservices that communicate through APIs. The Swagger framework is presented as a way to document and test APIs. Swagger can generate client libraries and helps services scale by enabling asynchronous communication through websockets. Taking this vertical, microservices approach with Swagger improves scalability by allowing dedicated teams to own individual services and improves performance through asynchronous communication protocols.

Migrating applications to Windows Azure has the potential to lower costs, reduce management overhead and dramatically improve scalability. This session gave some insight into choosing which applications are suitable for migration, how to map existing technologies to cloud equivalents, and how to overcome common migration challenges based on lesson learned from a successful SaaS migration to Windows Azure Platform.

WebLogic 12.2 introduces new multitenancy features including: - Improved high density deployment features through microcontainers and partitions that allow for increased isolation between tenant applications and resources. - Enhanced multitenancy capabilities including live partition migration to move running partitions between clusters with zero downtime. - Continuous availability features such as automated data center setup and failover, cross-domain transaction recovery, and multitenant live partition migration.

Building SharePoint farms for development and testing is easy. But building highly available farms to meet enterprise service level agreements that are fault tolerant, scalable and fully recoverable? Not so simple. Learn how to plan, design and implement a highly available on-premises farm architecture for 2016 and 2019 using proven, field-tested techniques and practical guidance.

Overview of new Windows Azure features since June 7, 2012. This covers Windows Azure Web Sites, Windows Azure Virtual Machines, and

This document provides an overview of a presentation on building better SQL Server databases. The presentation covers how SQL Server stores and retrieves data by looking under the hood at tables, data pages, and the process of requesting data. It then discusses best practices for database design such as using the right data types, avoiding page splits, and tips for writing efficient T-SQL code. The presentation aims to teach attendees how to design databases for optimal performance and scalability.

Real Life ADF Mobile: 10 things you don't learn from the devguide Oracle ADF Mobile has been around for over a year by now. There is a great developer guide available for everybody who wants to create an ADF Mobile application. However, when you are building your first ADF Mobile application you will definitely run into issues that cannot be solved by reading the developer guide. Think of performance issues when taking pictures with modern devices. Images can take up to 5 Megabytes. What can you do to create a grid like springboard ? These are all topics not covered by the developer guide or by any available ADF mobile training. In this session you will learn solutions for these and more real life ADF Mobile issues.

AMIS organiseerde op maandagavond 15 juli het seminar ‘Oracle database 12c revealed’. Deze avond bood AMIS Oracle professionals de eerste mogelijkheid om de vernieuwingen in Oracle database 12c in actie te zien! De AMIS specialisten die meer dan een jaar bèta testen hebben uitgevoerd lieten zien wat er nieuw is en hoe we dat de komende jaren gaan inzetten! Deze presentatie is deze avond gegeven als een plenaire sessie!

The document provides information on Oracle's platform middleware and cloud services, including: - Extended support for WebLogic 11g and WebLogic as a Service on Microsoft Azure. - Details on Oracle's Java Cloud Service, Developer Cloud Service, and Messaging Cloud Service which are available on preview. - Roadmaps and upcoming features for these cloud services, including improved integration between services and support for additional technologies like JEE 6.

The document provides an agenda and overview of announcements from Oracle OpenWorld 2013. Key announcements include the Oracle Database In Memory option, Sparc M6-32 server, Backup Logging and Recovery Appliance, expanded cloud services, and new capabilities for big data and JSON. Oracle aims to lead in areas around big data, in-memory computing, and cloud services and hopes to ease customers' transition to mobile, cloud, and big data technologies.

This document summarizes key points from Oracle OpenWorld 2014 about Oracle's Platform as a Service (PaaS) and middleware offerings. It discusses Oracle Cloud Application Foundation platforms like WebLogic Server and Coherence that can be deployed on engineered systems, public clouds, or private clouds. It also covers new features for WebLogic Server, SOA Suite, Java Cloud Service, and mobile services like the Oracle Mobile Cloud.

The document provides tips and lessons for using various Windows Azure services, including: - Windows Azure Table Storage and how to model data for storage in tables - Access Control Service (ACS) for claims-based authentication and common issues to address - Windows Azure Diagnostics for collecting logging data across roles and storing in tables or blobs - Best practices for deployment, environments, tools, and selling Azure's capabilities to customers

This presentation is based on a real life experience migrating Oracle E-Business Suite R12.1 production to AWS. We will talk about: - Certification basics. - How to architect. Recommendations. - Advanced configurations. - R12.2. - Microsoft Azure and Oracle Cloud review. - Horizontal auto-scaling. Is this a supported configuration?

This document discusses upcoming support for REST web services in Oracle JDeveloper using ADF Business Components. Key points include: - Oracle has established REST standards for resource naming, URIs, metadata, pagination, security, and caching across all Oracle products. - ADF BC will generate RESTful services using JSON payloads from VO instances defined in a resource definition file. - Resources will include collections, single resources, and resources in a "context" that allow filtering and expanding links between related data. - Features like pagination, filtering, payload filtering, and a resource catalog will provide metadata about the REST resources and allow customized requests. - A new ADF Mobile REST Data Control is being developed

Security in applications is a never-ending story. Most of the knowledge about how to build secure applications is derived from knowledge and experience. And we've all done the same mistakes every Java EE developer does over and over again. But how to solve the real business requirements behind access and authorization with Java EE? Can I have a 15k rights matrix? Does that perform? How to secure the transport layer? How does session binding works? Can I implement 2-Factor-Authentication? And what about social integrations? This talk outlines the key capabilities of the Java EE platform and introduces the audience to additional frameworks and concepts which do help by implementing all kinds of security requirements in Java EE based applications.

The document provides examples of Apache Camel route configuration using Java DSL, XML DSL, and code snippets. It demonstrates how to configure routes that use choice/when logic to route messages to different endpoints based on message properties or content. It also includes links to Apache Camel documentation on core concepts like components, data formats, languages, and how to download, use IDE tools, and deploy Camel applications on servers like WildFly.

Apache Camel is one of the most complete integration frameworks out there. With more than 150 components and a large community it clearly has it's fans. Deploying the lightweight core is easy. Getting into modules and even more components makes this challenging. There are different approaches to ride that Camel. How to get the most out of it with Java EE and WildFly is exactly the topic of this session. It will introduce you to both Java EE 7 and Apache Camel in a very brief way and follows up with the different integration and deployment scenarios along with introducing the tools which help you the most on the way to your integration solution.

One microservice is not enough and microservices should be built as systems. Building a single microservice is generally easy, but building a system of microservices that are integrated is challenging due to increased complexity from deployment, large development teams, and separating functionality from monolithic applications. The Lagom framework is designed to help with building microservice systems by providing an opinionated development environment, service API, and persistence API to address these challenges.

We're all aware of cloud computing and the operational ability to easily create, configure and manage instances in an IaaS environment. But many of us are not Unix system admins and just want to focus on developing and deploying our Java applications. RedHat OpenShift (which is of course open source) is a developer-friendly PaaS that offers auto-scalability and reliability as native features. So if you are tired of configuring and administering servers, come see how OpenShift PaaS can make you a happier and more productive Java EE software engineer. Learn about the base platform, how to use existing developer frameworks (cartridges) and how to integrate them into your development life cycle. And learn about the exciting Docker and Kubernetes plans for OpenShift v3.

The document discusses Java EE specifications and the Java Community Process (JCP) for developing specifications. It describes the roles of expert groups and specification leads in developing specs, as well as the reference implementation, test cases, and documentation that are produced. It also provides statistics on participation in the JCP and links to resources for getting involved in the process.

Slides for my vJUG session: http://www.meetup.com/virtualJUG/events/221218531/ In the past I've been building component oriented applications with what I had at hand. Mostly driven by the features available in the Java EE standard to be "portable" and easy to use. Looking back this has been a perfect fit for many customers and applications. With an increasing demand for highly integrated applications which use already available services and processes from all over the place (departmental, central or even cloud services) this approach starts to feel more and more outdated. And this feel does not come from a technology perspective but from all the requirements around it. Having this in mind this post is the starting point of a series of how-to's and short tutorials which aim to showcase some more diverse ways of building (Java EE) applications that fit better into today's requirements and landscapes.

This document discusses microservices architecture. It describes how a monolithic application can be broken into multiple independent services with their own processes that communicate over a network. The benefits of this approach include improved scalability, flexibility, and resilience. It also discusses technologies like Docker that can be used to package and deploy microservices and patterns for circuit breaking to handle failures.

Presentation from the Chicago Reactive Roundtable about modernizing applications with microservices. Learn more: lightbend.com/reactive-roundtable

Virtual JUG Session: http://www.meetup.com/virtualJUG/events/232052100/ With Microservices taking the software industry by storm, classical Enterprises are forced to re-think what they’ve been doing for almost a decade. It’s not the first time, that technology shocked the well-oiled machine to it’s core. We’ve seen software design paradigms changing over time and also project management methodologies evolving. Old hands might see this as another wave that will gently find it’s way to the shore of daily business. But this time it looks like the influence is bigger than anything we’ve seen before. And the interesting part is, that microservices aren’t new from the core. Talking about compartmentalization and introducing modules belongs to the core skills of architects. Our industry also learned about how to couple services and build them around organizational capabilities. The really new part in microservices based architectures is the way how truly independent services are distributed and connected back together. Building an individual service is easy with all technologies. Building a system out of many is the real challenge because it introduces us to the problem space of distributed systems. And the difference to classical, centralized infrastructures couldn’t be bigger. There are very little concepts from the old world which still fit into a modern architecture. And there are more differences between Java EE and distributed and reactive systems. For example, APIs are inherently synchronous, so most Java EE app servers have to scale by adding thread pools as so many things are blocking on I/O (remote JDBC calls, JTA calls, JNDI look ups, even JMS has a lot of synchronous parts). As we know adding thread pools doesn't get you too far in terms of scalability. This talk is going to explore the nine most important differences between classical middleware and distributed, reactive microservices architectures and explains in which cases the distributed approach takes you, where Java EE never would.

In this talk, Kenny Bastani will introduce you to Spring Cloud, a set of tools for building cloud-native JVM applications. We will take a look at some of the common patterns for microservice architectures and how to use Cloud Foundry to deploy multiple microservices to the cloud. We will also dive into a microservices example project of a cloud-native application built using Spring Boot and Spring Cloud. Using this example project, I'll show you how to use Cloud Foundry to spin up a microservice cluster. We will then explore what a cloud-native application looks like when using self-describing REST APIs that link multiple microservices together.

Devnexus 2017 As we architect our systems for greater demands, scale, uptime, and performance, the hardest thing to control becomes the environment in which we deploy and the subtle but crucial interactions between complicated systems. And microservices obviously are the way to go forward with those complicated systems. But what makes it so hard to build them? And why should you embrace failure instead of doing what we can do best: Preventing failure. This talk introduces you to the problem domain of a distributed system which consists of a couple of microservices. It shows how to build, deploy and orchestrate the chaos and introduces you to a couple of patterns to prevent and compensate failure.

Do microservices force us to look differently at the way we lay down and evolve our integration architecture, or are they purely about how we build applications? Are microservices a new concept, or an evolution of the many ideas that came before them? What is the relationship between microservices and other key initiatives such as APIs, SOA, and Agile. In this session, we will unpick what microservices really are, and indeed what they are not. We will consider whether there is something unique about this particular point time in technology that has enables microservice concepts to take hold. Finally, we will look at if, when, where and how an enterprise can take on the benefits of microservices, and what products and technologies are applicable for that journey.

Keynote at Dockercon Europe Amsterdam Dec 4th, 2014. Speeding up development with Docker. Summary of some interesting web scale microservice architectures. Please send me updates and corrections to the architecture summaries @adrianco Thanks Adrian

Shobana Radhakrishnan discusses how Mindflash manages service integration and implements a microservices architecture to achieve high uptime and continuous deployment in a lean startup. Mindflash relies on many external services and has evolved its deployment process from monthly major releases with fallouts to near-continuous deployment with high automation and alignment between test and production environments. Mindflash implements a microservices architecture with independent services communicating through APIs to improve scalability, deployment speed, and allow incremental improvements. This approach helps Mindflash continuously upgrade services while maintaining high performance and uptime.

This document describes how WebMD uses Apache Storm to build a real-time data pipeline that moves data from MongoDB to SQL databases. A Storm topology is constructed with a spout that reads continuously from the MongoDB oplog and emits tuples. These tuples are then processed by bolts that extract fields from embedded arrays, parse documents, and write the data to SQL databases. This pipeline allows for real-time analytics on user activity data stored in MongoDB to be performed using SQL queries. The topology scales easily to handle increasing data volumes and velocities.

In the past I've been building component oriented applications with what I had at hand. Mostly driven by the features available in the Java EE standard to be "portable" and easy to use. Looking back this has been a perfect fit for many customers and applications. With an increasing demand for highly integrated applications which use already available services and processes from all over the place (departmental, central or even cloud services) this approach starts to feel more and more outdated. And this feel does not come from a technology perspective but from all the requirements around it. Having this in mind this post is the starting point of a series of how-to's and short tutorials which aim to showcase some more diverse ways of building (Enterprise Java) applications that fit better into today's requirements and landscapes.

With Java EE 7 cloud should have been added to the specification. Allowing for a broad ecosystem of PaaS providers to jump on the train. Because of the missing maturity and field experiences this has been delayed to EE 8. However there are some offerings on the market already. This talk throws light onto how they differentiate from each other and which ones are the right ones for Java EE. Featuring: CloudBees, OpenShift, Elastic Beanstalk, Jelastic and Oracle Java Service.

In the past I've been building component oriented applications with what I had at hand. Mostly driven by the features available in the Java EE standard to be "portable" and easy to use. Looking back this has been a perfect fit for many customers and applications. With an increasing demand for highly integrated applications which use already available services and processes from all over the place (departmental, central or even cloud services) this approach starts to feel more and more outdated. And this feel does not come from a technology perspective but from all the requirements around it. Having this in mind this post is the starting point of a series of how-to's and short tutorials which aim to showcase some more diverse ways of building (Java EE) applications that fit better into today's requirements and landscapes.