Developing JavaEE 7 based apps with Payara Micro
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Building on the Java EE 7 support of its GlassFish 4.1 core, Payara Micro enables you to run Java EE 7 based applications from the command line without any application server installation. In this hands-on workshop/tutorial, Payara Engineer Dave Winters provides an overview of Payara Micro and the services offered by this distribution from Payara. Dave provided a walk you through of how to set-up, develop and use Payara Micro to run applications deployed in a Payara Micro cluster.
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Enterprise Java 표준(Java EE, 일명 EE4J)과 Microservices 기반 아키텍처의 실제 요구사항 사이를 차이를 좁히기 시작하였다. 여러가지 유용한 마이크로 서비스 관련 API를 기존 Java EE 7/8 API와 결합하여 사용하고, Heal Check, Metrics, Fault Tolerance, JWT Propagation, Configuration, Tracing 등을 제공하고 있습니다.
이번 세션에서는 MicroProfile의 현재에 대해서 알아 보고, 기타 Microservices를 위한 java Micro framework에 대해서도 알아볼 것 입니다.
CloudStack 4.1, 4.2 and beyond
Presentation about Apache CloudStack 4.1 and 4.2 for the CloudStack NYC Meetup group on April 10th, 2013.
7 Apache Process Cloudstack Developer Day
This document discusses Apache CloudStack, an open source cloud computing platform that is currently in incubation at the Apache Software Foundation (ASF). It provides information on how the ASF works, CloudStack's status and participation, the development process, and how to contribute to the project. Key points include that CloudStack 4.0 has been released, the code has moved to Apache repositories, and contributors are working on improvements for the 4.1 release including packaging, dev tools, storage architecture, and testing. The document encourages participation through discussions, documentation, code reviews, and issue tracking on CloudStack's Jira and Review Board systems.
OpenStack Glance Project Update
Glance is the OpenStack image service that provides services to store, browse, share, distribute, and manage disk images and metadata. It is deployed by 97% of OpenStack clouds. Contributor numbers grew for the Ocata release but declined after budget cuts impacted the core reviewer team. The presentation outlines features added in recent releases and themes for upcoming releases, and asks for help contributing in various ways.
What's new OpenStack kilo
This presentation covers major enhancements and new features announced in OpenStack Kilo : 11th release of OpenStack..Questions if any please direct to info@thecloudenabled.com
Netflix oss season 2 episode 1 - meetup Lightning talks
The lightning talks covered various Netflix OSS projects including S3mper, PigPen, STAASH, Dynomite, Aegisthus, Suro, Zeno, Lipstick on GCE, AnsWerS, and IBM. 41 projects were discussed and the need for a cohesive Netflix OSS platform was highlighted. Matt Bookman then gave a presentation on running Lipstick and Hadoop on Google Cloud Platform using Google Compute Engine and Cloud Storage. He demonstrated running Pig jobs on Compute Engine and discussed design considerations for cloud-based Hadoop deployments. Finally, Peter Sankauskas from @Answers4AWS discussed initial ideas around CloudFormation for Asgard and deploying various Netflix OSS
Introduction to MySQL
This document provides an introduction to MySQL including its history and major milestones. It discusses MySQL's role in the LAMP stack and its popularity as the world's most widely used open source database. It also summarizes MySQL's various storage engines, architectures, and recent releases. The document concludes with a discussion of MySQL's future focus and available high availability solutions.
A to Z of Docker
This document outlines an agenda for a 3 day Docker training course being conducted by Swapnil Jain. Day 1 covers introductions to containers and Docker, as well as creating a simple web application. Day 2 focuses on building Docker images, networking, and managing data in containers. Day 3 discusses Docker registries, multi-stage builds, and limiting container resources. Participants are advised to have at least one Docker host running and an internet connection.
A Jupyter kernel for Scala and Apache Spark.pdf
Many data scientists are already making heavy usage of the Jupyter ecosystem for analyzing data using interactive notebooks. Apache Toree (incubating) is a Jupyter kernel designed that enables data scientists and data engineers to easily connect and leverage Apache Spark and its powerful APIs from a standard Jupyter notebook to execute their analytics workloads. In this talk, we will go over what's new with the most recent Apache Toree release. We will cover available magics and visualizations extensions that can be integrated with Toree to enable better data exploration and data visualizations. We will also describe some high-level designs of Toree and how users can extend the functionality of Apache Toree powerful plugin system. And all of these with multiple live demos that demonstrate how Toree can help with your analytics workloads in an Apache Spark environment.
BYOP: Custom Processor Development with Apache NiFi
Apache NiFi, a robust, scalable, and secure tool for data flow management, ships with over 212 processors to ingest, route, manipulate, and exfil data from a variety of sources and consumers. But many users turn to NiFi to meet unusual requirements — from proprietary protocol parsing, to running inside connected cars, to offloading massive hardware metrics from oil rigs in the most remote environments. Rather than posting a community request for custom development or offloading unusual demands to unnecessary external systems, there’s an answer in NiFi. Learn how NiFi allows you to quickly prototype custom processors in the scripting language of your choice against live production data without affecting your existing flows. Easily translate prototypes to full-fledged processors to optimize performance and leverage the full provenance reporting infrastructure. Discover how the framework provides conventions to streamline your development and minimize common boilerplate code, and the robust testing framework to make testing easy, and dare we say, fun.
Expected prior knowledge / intended audience: developers and data flow managers should have passing knowledge of Apache NiFi as a platform for routing, transforming, and delivering data through systems (a brief overview will be provided). The intended audience will have experience with programming in Groovy, Ruby, Jython, ECMAScript/Javascript, or Lua.
Takeaways: Attendees will gain an understanding in writing custom processors for Apache NiFi, including the component lifecycle, unit and integration testing, quick prototyping using a scripting language of their choice, and the artifact publishing and deployment process.
virtualization-vs-containerization-paas
This is the talk i gave at Future of Paas Workshop which is part of IC2E IEEE conference 2014 at Boston University on March 11 2014
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Spinnaker is an open source continuous delivery platform that allows developers to release software changes quickly and safely across multiple cloud platforms. It was originally developed at Netflix to deploy over 100,000 instances to AWS daily using deployment strategies like blue-green deployments and canary releases. The document discusses Spinnaker's architecture, key concepts like pipelines and server groups, and demos how to deploy an application to Kubernetes using a Spinnaker pipeline.
Building Slack's internal developer platform as a product.pdf
Slack has built an internal developer platform called Bedrock to standardize and streamline how their developers build and deploy applications. Bedrock allows developers to configure their code, containers, infrastructure, and pipelines through a single YAML file. It provides managed Kubernetes clusters, integrates the application into Slack's tools and services, and handles logging, monitoring, secrets, and networking. When building Bedrock, Slack applied product techniques like dogfooding, user research, surveys, and a user advisory group to ensure it meets developer needs. The platform aims to improve productivity, reliability, and security while reducing cognitive load and duplication for Slack's hundreds of developers.
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AIDevWorld 23 Apache NiFi 101 Introduction and Best Practices
https://sched.co/1RoAO
Timothy Spann, Cloudera, Principal Developer Advocate
In this talk, we will walk step by step through Apache NiFi from the first load to first application. I will include slides, articles and examples to take away as a Quick Start to utilizing Apache NiFi in your real-time dataflows. I will help you get up and running locally on your laptop, Docker or in CDP Public Cloud.
Wednesday November 1, 2023 12:00pm - 12:25pm PDT
VIRTUAL AI DevWorld -- Main Stage https://app.hopin.com/events/api-world-2023-ai-devworld/stages
Retail & E-Commerce AI (Industry AI Conference)
Session Type OPEN TALK
Track or Conference Retail & E-Commerce AI (Industry AI Conference), Industry AI Conference, VIRTUAL, Tensorflow & PyTorch & Open Source Frameworks (AI/ML Engineering Conference), AI/ML Engineering Conference, AI DevWorld
In-Person/Virtual Virtual, Virtual Exclusive
apache nifi
Timothy Spann
Cloudera
Principal Developer Advocate for Data in Motion
Tim Spann is the Principal Developer Advocate for Data in Motion @ Cloudera where he works with Apache Kafka, Apache Flink, Apache NiFi, Apache Iceberg, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming. Previously, he was a Developer Advocate at StreamNative, Principal Field Engineer at Cloudera, a Senior Solutions Architect at AirisData and a senior field engineer at Pivotal. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on big data, the IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as IoT Fusion, Strata, ApacheCon, Data Works Summit Berlin, DataWorks Summit Sydney, and Oracle Code NYC. He holds a BS and MS in computer science.
cloudera dataflow
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Run your Java apps on Cloud Foundry
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Run Your Java Code on Cloud Foundry - Andy Piper (Pivotal)
Presented at JAX London 2013
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開放原始碼 Ch1.2 intro - oss - apahce foundry (ver 2.0)
This document provides an overview of open source software and the Apache Software Foundation. It discusses the Apache license and how it differs from GPL. It then introduces several popular Apache projects including Apache Commons, Apache Ant, Apache Axis2, Apache Camel, and Apache Tomcat. For each project, it provides a brief description and links to the project's website. The document uses these examples to illustrate the benefits of applying open source software, such as reducing costs and development time.
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The document summarizes Docker Hub, a cloud registry service for sharing Docker applications. It provides statistics on Docker Hub usage, describes features like public/private repositories, organizations/groups, automated builds, and web hooks. It also outlines the roadmap, demos user invites and web hooks 2.0, and calls for feedback to improve Docker Hub.
Introduction to WSO2 Microservices Framework for Java (MSF4J) 2.0
WSO2 Microservices Framework for Java (MSF4J) is a lightweight high performance framework for developing & running microservices.
WSO2 MSF4J is one of the highest performing lightweight Java microservices frameworks. The following graphs show the throughput, memory consumption & latency characteristics of MSF4J against other microservices frameworks.
This slide deck introduces WSO2 Microservices Framework for Java 2.0. We will look at the key differentiators as well as the key features in WSO2 MSF4J.
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👉👉 Click Here To Get More Info 👇👇
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Graspan: A Big Data System for Big Code Analysis
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Hand Rolled Applicative User Validation Code Kata
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
This session covers GraalVM & Spring Boot, Spring AOT, performance optimizations and using libraries
GreenCode-A-VSCode-Plugin--Dario-Jurisic
Presentation about a VSCode plugin from Dario Jurisic at the GSD Community Stage meetup
DDS-Security 1.2 - What's New? Stronger security for long-running systems
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
Presentation from Ghazal Aakel and Eric Jochum at the GSD Community Stage Meetup on June 6th, 2024
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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Developing JavaEE 7 based apps with Payara Micro
- 1. Payara Micro Overview and Workshop
- 2. Overview lWho am I and What is Payara? lWhat is payara-micro? lWhat can I do with Payara micro as opposed to?? l- technologies supported etc lDemo of payara-micro using different specs lWorkshop and tutorial lQuestions et le fin
- 3. What is Payara? •Payara Server is a drop in replacement for GlassFish Server. •We provide product enhancements, bug fixes and patches to upstream GlassFish Server and dependent libraries including Tyrus, Eclipse Link, Jersey and others. •Quarterly releases since October 2014. Approx. 50 defect fixes outside of dependent libraries and 10 enhancements in first two releases.
- 4. Open Source Infrastructure •Source Code Hosted on github @ www.github.com/payara •Automated CI environment using Jenkins. •Contributions by community via pull requests. •Synched with Glassfish SVN and fixes/features pushed back to Glassfish project.
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