Overview of PaaS: Java experience

A short overview presentation on Emerging technologies /frameworks in Big Data covering Apache Parquet, Apache Flink, Apache Drill with basic concepts of Columnar Storage and Dremel.

This document provides an overview of Linux containers, Docker, and Kubernetes. It discusses how Linux containers have limitations that Docker aimed to address by providing a platform for managing containers. However, standalone Docker has issues at scale, which Kubernetes was created to solve by offering clustering and orchestration of Docker containers across multiple hosts. Key Kubernetes concepts are explained such as pods, labels, services, and deployments. The document concludes with a reference to a Kubernetes demo.

The document summarizes a presentation about the Apache software foundation and various Apache projects. It discusses Apache Commons, which provides reusable Java components. It also discusses Apache POI, which provides APIs for working with Microsoft document formats like Excel. Finally, it discusses Apache FOP, which is a formatter driven by XSL formatting objects that can convert XML files into PDF documents.

Developing Real-Time Data Pipelines with Apache Kafka http://kafka.apache.org/ is an introduction for developers about why and how to use Apache Kafka. Apache Kafka is a publish-subscribe messaging system rethought of as a distributed commit log. Kafka is designed to allow a single cluster to serve as the central data backbone. A single Kafka broker can handle hundreds of megabytes of reads and writes per second from thousands of clients. It can be elastically and transparently expanded without downtime. Data streams are partitioned and spread over a cluster of machines to allow data streams larger than the capability of any single machine and to allow clusters of coordinated consumers. Messages are persisted on disk and replicated within the cluster to prevent data loss. Each broker can handle terabytes of messages. For the Spring user, Spring Integration Kafka and Spring XD provide integration with Apache Kafka.

Memory leaks are not always simple or easy to find. Heap dumps from production systems are often gigantic (4+ gigs) with millions of objects in memory. Simple spot checking with traditional tools is woefully inadequate in these situations, especially with real data. Leaks can be entire object graphs with enormous amounts of noise. This session will show you how to build custom tools using the Apache NetBeans Profiler/Heapwalker APIs. Using these APIs, you can read and analyze Java heaps programmatically to ask really hard questions. This gives you the power to analyze complex object graphs with tens of thousands of objects in seconds.

Kafka is a high-throughput, fault-tolerant, scalable platform for building high-volume near-real-time data pipelines. This presentation is about tuning Kafka pipelines for high-performance. Select configuration parameters and deployment topologies essential to achieve higher throughput and low latency across the pipeline are discussed. Lessons learned in troubleshooting and optimizing a truly global data pipeline that replicates 100GB data under 25 minutes is discussed.

Spark can run on Kubernetes containers in two ways - as a static cluster or with native integration. As a static cluster, Spark pods are manually deployed without autoscaling. Native integration treats Kubernetes as a resource manager, allowing Spark to dynamically acquire and release containers like in YARN. It uses Kubernetes custom controllers to create driver pods that then launch worker pods. This provides autoscaling of resources based on job demands.

The document discusses new features in .NET Framework 4.0 including managed extensibility framework (MEF), language features like optional and named parameters, dynamic typing, variance support in generics, code contracts, parallelism support through task parallel library (TPL) and LINQ to Parallel (PLINQ). It provides an overview of the .NET framework architecture and new capabilities added at each version.

テーマ：「SDKを試しに読んでみるよ」 内容：Python on GAEのコードをDatastoreを中心に追いかけてみます。難易度やどこをメインで読むかは参加者の意思とノリ、残り時間次第？ http://atnd.org/events/5951

This document provides an overview of Kafka and Spark Streaming. It discusses key concepts of Kafka like brokers, topics, producers and consumers. It also explains how Spark Streaming works using micro-batches and time window APIs. Finally, it discusses reliability aspects and references for further reading.

Session presented at the 6th IndicThreads.com Conference on Java held in Pune, India on 2-3 Dec. 2011. http://Java.IndicThreads.com

The document discusses Code First, an approach in Entity Framework for modeling databases. It covers creating classes to represent database tables, adding attributes for additional database control, creating a DbContext class, initializing the database using an initializer, and provides demos of these concepts.

JavaOne 2016 It is time to move your Java EE builds over to Gradle! Gradle continues to gain momentum across the industry. In fact, Google is now pushing Gradle for Android development. Gradle draws on lessons learned from both Ant and Maven and is the next evolutionary step in Java build tools. This session covers the basics of switching existing Java EE projects (that use Maven) over to Gradle and the benefits you will reap, such as incremental compiling, custom distributions, and task parallelization. You’ll see demos of all the goodies you’ve come to expect, such as integration testing and leveraging of Docker. Switching is easier than you think, and no refactoring is required.

This document provides an overview of Apache Zookeeper, a distributed coordination service. It discusses Zookeeper's data model, use of ZAB protocol for consensus, and common use cases such as naming, configuration management, and leader election. It also provides a brief Java client API example.

Jakarta EE is an open source Java platform that provides a wide range of APIs for building enterprise applications. It is made up of specifications covering areas like web services, security, and object-relational mapping. The document discusses the history and evolution of Jakarta EE, its relationship to other technologies like Spring and MicroProfile, and its importance for businesses, careers, and the Java ecosystem. It also outlines proposals for future versions like Jakarta EE 10 that aim to improve areas like security, messaging, and NoSQL support.

Learning Objectives: - Learn how to migrate from Cassandra to DynamoDB - Learn about the considerations and pre-requisites for migrating to DynamoDB - Learn the benefits of a fully managed nosql database - DynamoDB

My @TriangleDevops talk from 2013-10-17. I covered the work that led us to @NetflixOSS (Acme Air), the work we did on the cloud prize (NetflixOSS on IBM SoftLayer/RightScale) and the @NetflixOSS platform (Karyon, Archaius, Eureka, Ribbon, Asgard, Hystrix, Turbine, Zuul, Servo, Edda, Ice, Denominator, Aminator, Janitor/Conformity/Chaos Monkeys of the Simian Army).

This document discusses deploying a balanced Nginx web server with minimal system resources for use in a remote education system web portal. It recommends compiling Nginx with only necessary modules, optimizing the Nginx configuration file for performance, and configuring virtual hosts and PHP integration. Installing specific PHP modules and configuring PHP fastcgi handling is also covered to enable dynamic content. Troubleshooting atypical file extensions and image support is briefly addressed.

This document discusses Platform as a Service (PaaS), which provides a cloud-based computing environment for rapidly developing, running, and managing applications. PaaS allows developers to efficiently create unique applications for businesses by increasing flexibility and speed. PaaS providers deliver full software stacks that internal developers can use without public accessibility issues. Private PaaS incorporates an organization's entire internal infrastructure and developer base into a single platform.

PaaS (Platform as a Service) is gaining more momentum, but many firms are still unsure about what it is and how it can benefit their business. This slideshare provides a better understanding of what PaaS is, the key drivers to move to PaaS and how to go about implementing a PaaS solution, particularly for financial services businesses..

The Cloud Made Simple - learn about the Cloud, the types of Cloud services available & how financial businesses can benefit from using the technology.

Cloud Foundry est le standard Ouvert de l'industrie du PaaS et offre un choix de Clouds, de frameworks et de services d'application. Sa vision unique est de stimuler les contributions d'une large communauté de développeurs, utilisateurs, clients, partenaires et éditeurs de logiciels tout en faisant progresser le développement de la plate-forme à rapidement

The Guava project contains several of Google’s core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth. There will be the slides presenting most useful and interesting features of Guava (v.12) that makes stuff simpler, better and code cleaner. We will cover most of the com.google.common.base.* classes and basic use of functions in collection and Google collections and few other features that are part of Guava and I find them very useful. Some of you will think that there is an overlap with Apache commons – and it’s true, but Guava is built with expectation that there is a Function and a Predicate class as well as various builders which makes it really cool and simple for many use cases.

The document discusses the evolution of Platform as a Service (PaaS) from early cloud washing approaches to more advanced offerings that provide integrated developer platforms and runtime services. It describes how PaaS has expanded to include additional services like queues, databases and workflows. The talk also explores how PaaS can be specialized for different domains and how full development lifecycles can be supported through tools for project management, source control, testing and deployment.

The term "cloud" and cloud computing history. What is *aaS. PaaS vs IaaS. Benefits from PaaS. PaaS for developers. Where to go: Heroku, Azure and Google AppEngine.

Several years ago, life in Windows Azure was simple. For background services, we used a worker role, and for a Web application we used a Web role. Today, with the addition of Web Sites and Virtual Machines, the decision where and how to deploy got a bit harder. In this session we will explore the various hosting options offered by the Windows Azure platform, the steps required to deploy to each environment, and discuss the advantages and disadvantages of each solution.

If you are thinking of a PaaS then you need to consider some important features and understand how to think about the different vendors. There are literally hundreds of PaaS vendors. Why? It's a very important and powerful step in improving time to market and costs for software development. Issues like Resource Sharing, Hybrid, Polyglot, Security, HA / DR, Ecosystem PaaS, Lifecycle management, DevOps vs PaaS, different IaaS Vendors migrating into PaaS services, Autoscaling, Open Source vs Proprietary, Performance Management, Operations

The document discusses OpenShift, Red Hat's free Platform as a Service (PaaS) for deploying applications in the cloud. It provides an overview of what cloud and PaaS are, and explains that OpenShift allows developers to easily deploy and automatically scale their applications. The document notes that OpenShift has a free tier for development use and more resources can be accessed by signing up. It also shares ways developers can install OpenShift locally for experimentation purposes using Vagrant.

This document provides an overview and examples of using Google Guava, an open-source Java library that includes common libraries useful for writing Java code. It highlights some key classes and methods in Guava, including annotations, strings, collections, I/O, and more. Code samples demonstrate using Guava features like predicates, sets, files, and InetAddress utilities.

This document discusses the evolution of Intalio's software deployment approach from bare metal servers to Platform as a Service (PaaS). It describes how Intalio initially deployed software on their own servers (DIY), which led to scaling issues. They then moved to Infrastructure as a Service (IaaS) on AWS, but still faced complexity issues. Intalio then adopted PaaS using Cloud Foundry for "NoOps", allowing them to focus on development instead of operations. The document examines deploying applications to PaaS and how distributed architectures can be built on a PaaS.

This document provides an introduction to Azure PaaS services and how they can help with application development and hosting. It describes how Azure App Service can be used to host web and mobile backends and APIs. It also discusses using Azure SQL Database for relational data storage and Azure DocumentDB for NoSQL storage. The document then covers using Azure Service Fabric for microservices architectures and Azure IoT Suite and services like IoT Hub, Stream Analytics and Machine Learning for IoT scenarios. It concludes by listing the various platform services available in Azure.

Introduction to Apache Mesos and DC/OS present at Los Angeles UUAC and Los Angeles Mesos users group meetup on Jan 11, 2018

This document provides an overview of open source cloud computing presented by Mark R. Hinkle. It discusses key cloud concepts like virtualization formats, hypervisors, compute clouds, storage, platforms as a service, APIs, private cloud architecture, provisioning tools, configuration management, monitoring, and automation/orchestration tools. The presentation aims to educate about building clouds with open source software and managing them using open source management tools. Contact information is provided for Mark R. Hinkle for any additional questions.

This document provides an overview of open source cloud computing presented by Mark R. Hinkle. It discusses key cloud concepts like virtualization formats, hypervisors, compute clouds, storage, platforms as a service, APIs, private cloud architecture, provisioning tools, configuration management, monitoring, and automation/orchestration tools. The presentation aims to educate about building clouds with open source software and managing them using open source management tools. Contact information is provided for Mark R. Hinkle for any additional questions.

Deploy Java, PHP, Ruby, Node.js, Go, .NET, Python and Docker applications with no code changes using GIT, SVN, archives or integrated plugins like Maven, Ant, Eclipse, NetBeans, IntelliJ IDEA CloudJiffy will automatically scale your application containers vertically and horizontally, ensuring you only pay for the resources you consume. No capacity planning or resouce wastage. CloudJiffy uses granular 128MB cloudlets. CloudJiffy dashboard provides intuitive application topology wizard, deployment manager, access to log and config files, team collaboration functionality and integration with CI/CD tools

This document discusses integration in the age of DevOps. It describes how microservices help solve the problem of decoupling services and teams to move quickly at scale. Apache Camel is presented as a solution for integration that allows for reliable and distributed integration through mechanisms like messaging. Kubernetes and Docker are discussed as platforms that help develop and run microservices locally and at scale by providing automation, configuration, isolation and service discovery capabilities.

Session presented at the 2nd IndicThreads.com Conference on Cloud Computing held in Pune, India on 3-4 June 2011. http://CloudComputing.IndicThreads.com Abstract: Cloud Computing has had phenomenal growth over the past year and continues to entrench itself in all facets of IT. Cloud Computing is definitely more than just a buzz word or a passing trend. Now the heavy weights like IBM, HP and SAP are ready lock horns with existing players like Amazon, Salesforce and Microsoft whose offerings have matured over a period of time. Besides these big players, a lot of start ups are coming up with innovative offerings in this space. The talk is about the current state of affairs in the cloud computing. It will cover the products, services and offerings that have been making a lot of noise in the cloud computing space. Following are the main points that will be covered in the talk: 1. New Players: A lot of enterprise market giants are now coming to the cloud party offering infrastructure and platform services. IBM has come out with its SmartCloud for private as well as public clouds. Oracle has released its Cloud-in-a-box solution. The talk will cover all the new offerings by these enterprise giants. 2. Old Players, New offerings – Amazon being the leader in the Cloud Infrastructure space has rolled out a lot of new products and services, strengthening its hold in the market and expanding into the PaaS segment. Amazon Beanstalk, Amazon CloudFormation and EC2 Dedicated instances most notably have the power to be game changers. SalesForce the leader in the Cloud SaaS space released database.com, enterprise cloud database and its “PaaS” offering similar to GAE – VMforce.com This section will cover the new offerings by the players. 3 .Interesting Players in the cloud ecosystem: There have been a lot of new players who are leveraging the cloud to build some exciting products like Scalable API platforms, Cloud-based logging, Java in the Cloud. etc eg. Apigee, PiCloud, Loggly,Cumulogic, Cloudbees being some of them. This section will cover most of the exciting platforms and technologies these companies are working on. 4. Current Trends and Future: This section will cover the current trends(where a lot of startups are investing in) and how the future will look like in the cloud space. Finally, the talk plans to “arm” developers and architects with the latest and cutting edge platforms, products and technologies in the cloud that have been developed and made available over the last year, helping them to leverage the cloud and make better choices leading to higher ROI and lesser TCO. Speaker: Chirag Jog, is the CTO at Clogeny Technologies where the main focus is on Innovation in the Cloud Computing, Scalable Applications and Storage space. He is the chief geek at Clogeny who talks “Cloud” and works on architecting exciting ideas in the cloud space. He has previously spoken at IndicThreads, CloudCamp and other cloud related events.

Slide was presented at Dr. Dobb's Conference in Bangalore. Talks about Openstack Introduction in general Projects under Openstack. Contributing to Openstack. This was presented jointly by CB Ananth and Rahul at Dr. Dobb's Conference Bangalore on 12th Apr 2014.

Introduction to Platfrom-as-a-Service and CloudBees. Webinar presentation by Mark Prichard, Technical Evangelist at CloudBees