Cloud Economics

Java has been the historical leader for enterprise web application development. However, Node.js is rapidly gaining in popularity for developing mobile apps, APIs and web applications. Java and Node.js are complimentary tools for enterprise web application development and this session will highlight the strengths and complimentary nature of each. Presented at IBM InterConnect 2016

The addition of support for Swift as a server-side programming language makes it possible to use not just the same language on client and server, but also to reuse APIs and code. This opens up a world of possibilities for creating and deploying new types of applications. This session will introduce you to new models of client and server interaction for application development, and show you how to rapidly build an app with both client and server components written in Swift. Presented at FrenchKit: September 2016

Your website is probably vulnerable and gonna be hacked one day. Here're 15 ready-to-use tips on how you can make your web applications more secure. How to protect web application from hacker attacks and mitigate DDoS with NGINX web server.

Garbage Collection Unleashed: Demystifying the Wizardry JavaOne 2013 CON3948 Ryan A. Sciampacone, Senior Software Developer, IBM JTC Abstract: Problems with garbage collection? Pauses too long? Maybe too frequent? Other than telling you to give your application more memory, does staring at the logs yield little to no information? Ready to throw your hands up in frustration? Many application developers struggle with understanding where they may have gone wrong from either a deployment or a development perspective when garbage collection becomes a suspect. This presentation aims to demystify some of the mechanics of garbage collection technologies by looking at a series of problems, mapping them back to the implementation in simple terms, and understanding what this means about the collection and your application and how to address the issue.

This document provides an overview of cloud computing and Java platforms as a service (PaaS). It discusses infrastructure as a service (IaaS) from providers like Amazon and how PaaS offerings like Google App Engine and CloudBees abstract away infrastructure management. It notes the advantages of PaaS for development flexibility and automatic scaling but also limitations from predefined programming models. Details are provided on Google App Engine's programming model, storage options, and services. In summary, the document compares IaaS and PaaS approaches for Java applications in the cloud.

Veeam presentation for the NimbleStorage Connect User Group in Bristol and London. Including how the integration works, and why it is important to use Veeam and Nimble together.

With an increasing number of applications being deployed in the cloud, this trend will soon touch performance testers within every organisation. This presentation will dispel the hype, tell you what you need to know to embrace this opportunity, and answer the following questions: * What are the challenges specifically related to performance testing cloud-based applications? * What are some common performance problems seen in cloud-based applications, and how can you test for them? * How will cloud-based load generators help your performance testing? Don't get left behind! A solid understanding of cloud concepts will be invaluable to your testing career. This presentation was originally given at Iqnite Australia (Melbourne) on October 16th, 2014.

This document discusses the importance of performance testing and integrating it into continuous integration/continuous deployment pipelines. It provides an overview of common performance testing tools and scenarios. Key points include that performance is a valuable business feature, performance tests can be easily integrated into CI/CD, and reading performance test results requires skill. The presenter provides their contact information and a bibliography of references on performance and load testing.

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This document discusses configuring Cisco devices using Puppet and Chef automation tools. It provides an overview of: - The benefits of automated configuration vs manual configuration such as reliability, auditing, and drift correction. - How Puppet and Chef work by maintaining configuration state in code and transitioning systems from current to desired state in an idempotent way. - Key components of Puppet like the Puppet master, catalogs, and Puppet agents. And key components of Chef like the Chef server, cookbooks, recipes, and Chef clients. - Cisco's One-PK which provides an API and SDK for developing applications to control and configure Cisco devices, and how Puppet and Chef agents are

The vFabric Cloud Application Platform provides a full suite of products including tc Server, RabbitMQ, GemFire, SQLFire, and App Director to build, deploy, and manage cloud applications on both private and public clouds. It offers developers tools for rapid application development as well as operations tools for automated provisioning and management of applications in production environments. The platform provides a full stack solution for building and running scalable Java applications in private, hybrid, and public cloud environments.

This document summarizes the results of benchmarking various backup solutions for their ability to harness the power of vStorage APIs for Data Protection at scale. NetBackup demonstrated significantly better performance compared to competitors in hypervisor-level backups and recovery, completing backups of 1000 VMs in under 9 hours where competitors took over 14 hours. NetBackup also performed significantly better in storage snapshot-based backups by avoiding VM quiescence when not needed. The results validated that NetBackup is highly effective at leveraging vStorage APIs for Data Protection to deliver data protection at large scale with high performance.

The document describes a workshop on using the WebSphere Application Server Performance Tuning Toolkit (PTT) to analyze performance issues in the Daytrader application. It includes instructions on setting up the environment, installing Daytrader, and walking through 5 scenarios that simulate different types of performance problems: synchronization blocking, deadlock, high CPU usage, connection leak, and memory leak. For each scenario, it describes how to trigger the problem, monitor it using the PTT, and analyze the issue using thread dumps and the ISA V5 tool. The goal is to help users understand common performance issues and how to diagnose them.

The document discusses harnessing the power of cloud-based performance testing. It outlines the benefits of cloud such as infinite computing power, cost savings, and ability to simulate multiple geographies. It also discusses challenges of cloud-based testing such as data security, network latency, and test management. The document provides a real-world example of a client that used a hybrid cloud solution from Impetus to conduct affordable performance testing. It concludes with recommendations such as considering cloud for uncertain goals or globally distributed users.

VMworld 2013 Nicholas Colyer, Catamaran RX Dan Mitchell, VMware Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare

Slide will show what veeam agent can do. Demo - How to deploy veeam agent for linux - How to configuration veeam agent from console - Recovery file from veeam agent console Bonus Track - Migrate Physical Workload (Linux) to Microsoft Azure

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Overview of IBM Monitoring and Diagnostics Tools - Garbage Collection and Memory Visualizer 2.8, which provides offline memory and Garbage Collection monitoring for Java and Node.js applications

When you write and run Java code, it is first compiled by javac to bytecode and then converted to optimized machine code by the just-in-time (JIT) compiler. Although JIT compilers are advanced and are able to create highly optimized code, the level of optimization achievable is ultimately limited by how the original Java code was written. This presentation introduces the compilation and optimization process and uses applications to show how following several simple rules when writing your Java code can lead to highly optimizable, and therefore highly performant, applications. Presented at JavaOne 2015

This document discusses debugging applications and products using dumps. It describes two common debugging strategies: debugging from trace and debugging from dumps. When debugging from dumps, all available data is collected on failure with no ongoing performance overhead, but there is limited history and context. The document discusses different dump types (PHD, HPROF, system dump), methods for generating dumps (interactive, event-based, programmatic), and tools for analyzing dumps like IBM Monitoring and Diagnostic Tools for Java - Memory Analyzer and IDDE.

This document provides an overview of how to analyze the memory usage of a Java application. It discusses the anatomy of Java objects, explaining that each object has metadata and data fields that contribute to its memory overhead. It then analyzes the memory overhead of common Java collections like HashSet, HashMap, LinkedList and ArrayList. It notes that the wrong collection choice can significantly increase memory usage. The document recommends understanding these memory implications to optimize an application's memory efficiency.

This presentation discusses strategies to estimate and control the memory use of multi-threaded java applications. It includes a quick overview of how the JVM uses memory, followed by techniques to estimate the memory usage of various types of objects during testing. This knowledge is then used as the basis for a runtime scheme to estimate and control the memory use of multiple threads. The final part of the presentation describes how to implement robust handling for unchecked exceptions, especially Out Of Memory (OOM) errors, and how to ensure threads stop properly when unexpected events occur.

Problem determination is an important focus area in the IBM WebSphere Application Server. Serviceability improvements have been added that have greatly improved the ability to find root causes of problems in both the full IBM WebSphere Application Server profile, and the newer Liberty profile. The session focuses on how to effectively use serviceability improvements added to the application server since V8.0. This includes high performance extensibe logging, cross-component trace, IBM Support Assistant data collector, timed operations, memory leak detection/prevention, and IBM Support Assistant 5. Presented at the WebSphere Technical University 2014, Dusseldorf

While Node.js is becoming the platform of choice for web-scale applications, enterprises are resistant to change and have legacy applications based on other technologies, typically Java. Emerging web application architectures bring together the web-scale and integrated browser characteristics of Node.js with the transactional nature of Java to deliver high-performance, engaging web applications. Learn how the complimentary characteristics of Node.js and Java are being used to build the next generation of web applications.

Swift is a robust language for mobile but cloud development opens the door to new opportunities for today's top app developers. Integrating projects to backend systems can sometimes be problematic, requiring new tools and skills. It doesn't have to be; end-to-end Swift opens the door to radically simpler app dev so we can all focus on the engagement. This session will describe the work that's been done to bring Swift to the server, both in terms of efforts in the Swift.org projects, and with implementation of server frameworks, and show you how you can quickly create and deploy applications with both server and client components. Presented at the Swift Summit, Nov 7th 2016

Presented at JAX London 2013 When you write and run Java code, the JVM makes several allocations on your behalf, but do you have an understanding of how much that is? This session provides insight into the memory usage of Java code, covering the memory overhead of putting int into an integer object and the cost of object delegation and the memory efficiency of the different collection types. It also gives you an understanding of the off-Java (native) heap memory usage of some types of Java objects, such as threads and sockets.

This document provides an overview of Java heap dump analysis. It discusses the JVM memory model including the young generation, old generation and permanent generation heap areas. It describes how to create heap dumps manually and using JVM parameters. Useful tools for analyzing heap dumps are presented, including IBM HeapAnalyzer, IBM Thread and Monitor Dump Analyzer, Memory Analyze Tool, and VisualVM. Common causes of memory leaks and Java coding best practices are also covered. The document concludes with demonstrations of analyzing heap dumps using IBM HeapAnalyzer and IBM Thread and Monitor Dump Analyzer.

This document discusses how the economics of cloud computing will change how Java applications are developed. Cloud providers charge for computing resources on an hourly basis (e.g. $ per GB per hour), which means applications need to use resources efficiently. Java applications generally use more memory and have longer startup times than other languages. To be cost effective in the cloud, Java applications will need to reduce their memory footprint, decrease startup times, and be designed to fail and recover gracefully. The rise of APIs and microservices also requires changes to make Java more modular and efficient in constrained environments.

The document discusses how the economics of cloud computing will change how Java applications are developed and deployed. Cloud providers charge for computing resources on an hourly basis, incentivizing lighter, more efficient applications. Java applications will need to reduce their memory footprints and startup times to lower costs. Developers will also need to design applications to be resilient to failures and easier to debug remotely without access to instances. The rise of APIs and metering of resources will require Java and the JVM to become leaner and more flexible to run optimally in cloud environments.

The document discusses how the economics of cloud computing will change how Java applications are developed and deployed. Specifically: 1. In cloud computing, customers pay for computing resources like CPU and RAM on an hourly basis, creating a direct link between cost and resource usage. This will drive Java applications to use fewer resources to reduce costs. 2. Java applications will need to have faster startup times, smaller footprints, and be designed to fail and recover quickly to work well in cloud environments. 3. The growth of APIs and sharing data/services means Java developers will need to focus on building reliable, performant, and well-documented APIs to monetize data and services. 4. Significant changes

So you get DevOps. You like the idea and think it’s important. The trouble is that others in your team don’t. This session will help you understand how to convince your team of the benefits of DevOps. Packed with facts and figures, the presentation works through the common challenges Java teams face when moving to a DevOps model and outlines how to address them. It also shows you how to balance evangelism against pragmatism when championing DevOps in your organization. You’ll learn how others have made the transition to DevOps and understand what mistakes to avoid when doing so. Whether you need to know how to be a DevOps evangelist or simply want to understand why DevOps is important, this session is for you.

Presented at JAX London 2013 Per-tenant resource management can help ensure that collocated tenants peacefully share computational resources based on individual quotas. This session begins with a comparison of deployment models (shared: hardware, OS, middleware, everything) to motivate the multitenant approach. The main topic is an exploration of experimental data isolation and resource management primitives in IBM’s JDK that combine to help make multitenant applications smaller and more predictable.

Everyone is talking about building “cloud native” Java applications—and taking advantage of microservice architecture, containers, and orchestration/PaaS platforms—but there is surprisingly little discussion of migrating existing legacy (moneymaking) applications. This session aims to address this, and, using lessons learned from several real-world examples, it covers topics such when to rewrite applications (if at all), modeling/extracting business domains, applying the “application strangler” pattern, common misconceptions with “12-factor” application design, and the benefits/drawbacks of container technology.

Summary of online productivity tools both single function and suites, both for individuals and for organizations. For UCD Dublin SILS 20090 module

This document discusses best practices and potential pitfalls when moving processes and applications to software as a service (SaaS) models. It notes that SaaS can provide operational efficiencies but also new types of vendor lock-in and loss of control. The document provides many questions to ask SaaS providers regarding data ownership, customization capabilities, service level agreements, privacy and more. It warns that unforeseen consequences may arise from issues like infrastructure transparency, dependency on providers, management of multiple SaaS tools, and security risks if user accounts are compromised.

An extended version of my famed Top 10 Scalability Mistakes talk given at various conferences around the world.

The document provides tips for building a scalable and high-performance website, including using caching, load balancing, and monitoring. It discusses horizontal and vertical scalability, and recommends planning, testing, and version control. Specific techniques mentioned include static content caching, Memcached, and the YSlow performance tool.

Guidelines for mere mortals. These are a collection of guidelines picked up in the field... hopefully they would help developers and SREs building or modernizing apps ensuring the highest level of availability to their applications.

A workshop held in StartIT as part of Catena Media learning sessions. We aim to dispel the notion that large PHP applications tend to be sluggish, resource-intensive and slow compared to what the likes of Python, Erlang or even Node can do. The issue is not with optimising PHP internals - it's the lack of proper introspection tools and getting them into our every day workflow that counts! In this workshop we will talk about our struggles with whipping PHP Applications into shape, as well as work together on some of the more interesting examples of CPU or IO drain.

The development of a product from the point of view of a technician, starting from the concept, passing to the minimum viable till a management of a fully operational and deployed app.

The document discusses issues with memory and garbage collection in Java applications. It notes that the practical heap size for most Java applications has stagnated at around 2GB for the past decade, due to garbage collection pauses above this size. The document introduces Azul Systems and their Zing virtualization platform, which aims to eliminate garbage collection as a limiting factor through techniques like concurrent and parallel garbage collection that can support heaps up to 100GB without long pauses. It discusses various performance aspects of concurrent garbage collection like sensitivity to workload, heap population, and mutation rate.

This slide contains a brief presentation of how Organizations can leverage Cloud to virtualize functional/performance testing and cost benefit from investing in hardware.