O'Reilly Software Architecture Conf: Cloud Economics

Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for its high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring (Boot) and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world.

The purpose of Serverless is to focus on writing the code that delivers business value and offload undifferentiated heavy lifting to the Cloud providers or SaaS vendors of your choice. Today’s code quickly becomes tomorrow’s technical debt even if you meet the perfect decision. The less you own, the better it is from the maintainability point of view. In this talk I will go through examples of the various Serverless architectures on AWS where you glue together different Serverless managed services relying mostly on configuration, significantly reducing the amount of the code written to perform the task. Own less, build more!

The purpose of Serverless is to focus on writing the code that delivers business value and offload undifferentiated heavy lifting to the Cloud providers or SaaS vendors of your choice. Today’s code quickly becomes tomorrow’s technical debt even if you meet the perfect decision. The less you own, the better it is from the maintainability point of view. In this talk I will go through examples of the various Serverless architectures on AWS where you glue together different Serverless managed services relying mostly on configuration, significantly reducing the amount of the code written to perform the task. Own less, build more!

The document provides an overview of new features in OpenEBS 1.3 including support for Kubernetes 1.16 APIs, enhancements like auto scaling of cStor pools and initial support for NDM prometheus metrics exporter, and bug fixes. It discusses using GitLab with OpenEBS for running GitLab and storing application data and using Litmus for injecting chaos in GitLab pipelines. The presentation covers use cases like using OpenEBS as persistent storage for GitLab, keeping CI data closer to reality with immediate access to failed environments, and practicing chaos engineering to increase resiliency from CI pipelines to production.

The goal of Serverless is to focus on writing the code that delivers business value and offload everything else to your trusted partners (like Cloud providers or SaaS vendors). You want to iterate quickly and today’s code quickly becomes tomorrow’s technical debt. In this talk we will show why Serverless adoption increases the developer productivity and how to measure it. We will also go through AWS Serverless architectures where you only glue together different Serverless managed services relying solely on configuration, minimizing the amount of the code written.

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.

This document discusses conducting user research for an API management product. It outlines the research process of empathizing with users through interviews and personas, defining problems by synthesizing findings, ideating solutions through design studios, and prototyping and testing solutions. The research uncovered that API consumers want easy discovery and secure access to APIs without involving operations. It also found that API managers want observability into API usage. Outcomes of the research included API discovery and documentation pages and secure access pages. The value of user research is building empathy, validating assumptions, and providing structured feedback.

Every few months, another Joe (or Jane) Shmoe decides it’s time to write an agenda-driven blog post (or presentation for a conference) that shows why a particular flavor of JPA blows all the other competitors out of the water. This session shows that, when properly used/tuned, the JPA implementations from the major providers (EclipseLink, Hibernate, and OpenJPA) all perform nearly the same.

The purpose of Serverless is to focus on writing the code that delivers business value and offload undifferentiated heavy lifting to the Cloud providers or SaaS vendors of your choice. Today’s code quickly becomes tomorrow’s technical debt even if you meet the perfect decision. The less you own, the better it is from the maintainability point of view. In this talk I will go through examples of the various Serverless architectures on AWS where you glue together different Serverless managed services relying mostly on configuration, significantly reducing the amount of the code written to perform the task. Own less, build more!

As cloud computing becomes of strategic importance in the enterprise, part of the solution is no longer on-premise but in the cloud, adding a layer of complexity. Edwin Chan demystifies performance testing of cloud systems and applications by addressing the following key questions: Is performance testing of cloud systems fundamentally different from testing on-premises applications? What are the best practices for performance testing of both cloud and on-premises systems? Performance testing of cloud systems is essentially the same as that of its on-premises counterpart with the exception of the key consideration of network latency. After clearing common misconceptions, Edwin shares the hot topic best practices���adopting an agile/lean methodology, conducting early performance testing, and automating the injection of test data. Discuss the challenges the testing team faces in these days of disruptive and fast-paced technology changes. Take back and apply some of the best practices that fit your organization’s need.

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

Java SE 8 is the latest eagerly anticipated release of the Java platform that powers much of IBM's software and provides functionality for you to get your work done. This presentation describes the new features available in the virtual machine and associated libraries and tooling. Learn how to be more productive as a developer, use new techniques for exploiting modern hardware to process large volumes of data in parallel with GPUs, move data efficiently across the network, and exploit the virtualization potential of your data center. The talk outlines a road map for IBM's technology and valuable tips directly from IBM's Java engineers.

A talk I did recently on microservices and functional programming. Microservices are small, single purpose apps that are run as a service, which are usually composed together to provide the real app.

Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for its high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring (Boot) and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world.

Learn about Coldfusion Load Balancing , Failover and Scaling CF. Learm about the Tomcat Connector Admin for maintaing LB - cfsummit2015

The document discusses the key features of Java EE 7 including improved developer productivity through more annotated POJOs, less boilerplate code, and a cohesive integrated platform. It highlights top features such as WebSocket client/server endpoints, batch applications, JSON processing, concurrency utilities, simplified JMS API, and more annotated POJOs. The document provides details on these features and code examples for concepts like WebSocket chat servers, JSON streaming API, batch job specification, and simplified JMS message sending.

1. The document discusses using cloud computing for performance testing by provisioning virtual machines and load generation servers in the cloud instead of on-premise servers. 2. Commercial testing products and open-source frameworks like JMeter can be used for cloud-based performance testing, with benefits including lower costs, ability to simulate large-scale loads, and geographic distribution. 3. A case study describes a custom Hailstorm framework built on JMeter that was able to simulate 40,000 concurrent users for a client, providing rapid and cost-effective performance metrics at scale.

Over the last 12 months Swift has gone from an emerging language on the server, to a real one. The ability to run Swift on both Mobile and Server, works ideally in the Backend for Frontend "BFF") pattern.

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.

This session discusses how you can maximize the performance of your application deployment with tools that are native to your server platform as well as cross-platform Java analysis and monitoring tools. The session begins with systematic steps you can take to locate a performance problem in a complex system and moves on to analysis you can do to understand the root cause of the problem. The picture is completed by consideration of the tools and techniques available to monitor application performance in normal operation so that you can catch performance issues before they build up into serious problems. Presented at JavaOne 2012 Video available from Parleys.com: https://www.parleys.com/talk/the-hidden-world-your-java-application-what-its-really-doing

As Java deployments have become more complex, it has become harder and harder to get good insight into the structure and execution flow of the application. This applies particularly where middleware and third-party components or legacy software that has little or no design documentation is involved. This session introduces you to software archaeology: how to build an understanding of the layout and execution of your Java application from the deployed application itself. Presented at JavaOne 2012.

Discover the best adventure activities you can enjoy with your loved one. These destination are sure to provide adrenaline fueled activities to strengthen the bond between soulmates.

Operations people frequently communicate and learn through stories and mythology. Much like fairy tales: some of this mythology is healthy, some cautionary and some moralistic. Your Operations mythology is a strong element in how your organisational culture is shaped and more importantly can influence how your Operations team makes decisions. I (with some help from Hans Christian Andersen and the Brothers Grimm) am going to examine why these stories and mythology matter. We’ll look at how these shape your culture and set the mood for your Operations team. You’ll see why and how mythology, whether you’re in a giant enterprise or a tiny startup, often subconsciously influences the decisions and choices you make and the risks you’re prepared to take. Finally, I’ll present some ways you can tell good stories, build healthy mythology, make use of that mythology for profit, and how you can eradicate the mythology and stories that give your Operation’s team nightmares.

Building a modern monitoring environment is more than just using the latest awesome tools, collecting all the data, displaying numerous graphs, and knowing when things go wrong. A modern monitoring environment is more than tools and infrastructure. It’s a service. A service you provide to your whole team: developers, operations, security, and the business. This talk is about how you can build monitoring environments (or extend your existing environment) that are customer-focused rather than infrastructure focused. You’ll see how you can treat your needs and the needs of your organization as customer requirements, and build monitoring that is consumable and configurable on demand. We’ll focus on: * You are not the only customer of your monitoring * What does monitoring as a service look like? * How do we move to a customer-driven service? * How does this change how your monitoring environment operates? By the end of the talk you should be able to understand what you need in order to make monitoring available as a service to anyone in your organization.

A talk about lessons learned from building developer and sysadmin-facing tools at Puppet and Docker. It’s applicable to open source tools for broader use and the tools you and your teams develop inside your organization. Building tools, both external and internal, is hard. Getting people to adopt those tools is even harder. These are ideas to make it easier.

The document discusses using Dynacache with WebSphere Extreme Scale (WXS) to improve the performance and scalability of caching for WebSphere Application Server (WAS) applications. WXS provides a "drop-in" cache that can be used instead of the default WAS caching layer without code changes. This allows the entire WXS grid to act as the cache, providing better scalability. It also provides a more efficient single network cache. The WXS Dynacache plugin leverages the power of WXS's distributed and scalable caching architecture to provide a robust caching solution for WAS applications with improved performance, flexibility, and high availability.

The document discusses using Dynacache with WebSphere Extreme Scale (WXS) to improve the performance and scalability of caching for WebSphere Application Server (WAS) applications. WXS provides a "drop-in" cache that can be used instead of the default WAS caching without code changes. This allows the entire WXS grid to act as the cache, providing better scalability. Key benefits include better performance through caching of expensive operations, leveraging the power of a distributed cache architecture, and increased flexibility and capacity for large applications.

This document provides an overview and agenda for the "Busy Java Developer's Guide to WebSphere Debugging & Troubleshooting" presentation. The presentation covers various WebSphere Application Server components, troubleshooting tools like IBM Support Assistant, JVM troubleshooting tools, problem determination tools, common problem scenarios, how customers run into trouble, and includes a demo and Q&A section. It provides an in-depth look at debugging and resolving issues with WebSphere Application Server.

Dynacache and Memcached are caching technologies for Java applications. Dynacache is built into WebSphere Application Server and caches content in JVM memory, allowing cache operations through POJO calls. Memcached is an open-source, high-performance distributed memory caching system where keys and values are transmitted over TCP/IP and cached content is not stored in JVM memory. Each technology has advantages such as Dynacache supporting memory and disk storage with size restrictions and faster operations through POJO calls without serialization, while Memcached does not consume memory in the Java heap.

Presentation given at AtTheFrontend.dk on 27 May 2015 covering an introduction to microservices and how Platform-as-a-Service helps with many of the challenges deploying microservices. Example supporting technologies include Bluemix / Cloud Foundry, Docker and Netflix OSS.

This document discusses patterns and best practices for dependency injection using the Contexts and Dependency Injection (CDI) specification. It provides an overview of CDI concepts like scopes, qualifiers, producers, events, decorators, and alternatives. It also discusses how CDI is implemented in WebSphere Application Server, including bean failover support.

| www.eudat.eu | The presentation gives an introduction to Research Data Management, explaining why it is important to manage and share data. November 2016

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.

Presentation from JavaOne providing an introduction to microservices, the Netflix OSS projects Eureka, Ribbon, Hystrix and Archaius, and the open source work that has been done to make them more consumable in WebSphere Application Server Liberty Profile

The ICAP Integrated Development Environment (IDE) provides a number of standard development tools to ease the design of modern applications. Mobile (Worklight) Includes IBM's industry leading mobile development platform Java (WebSphere Liberty Profile) Rapidly build next-generation, engaging applications for the WebSphere Application Server Liberty Profile. JavaScript (Node.js) Easily build applications with the most popular JavaScript runtime for event-driven server side development . Cloud Explorer Quickly discover shared services to enhance applications. Develop custom services to share with others.

The document discusses and compares caching technologies for Java applications, specifically Memcached and DistributedMap. It provides an overview of general object cache characteristics and how cache instances work. Memcached is described as an open-source, high-performance distributed memory caching system where each cluster of servers is a single cache instance. DistributedMap is a built-in component of WebSphere Application Server that allows for multiple cache instances within a single JVM. The document outlines some advantages of each system and poses some open questions for further performance comparisons.

JavaOne 2013 Talk on bringing OSGi back to embedded devices through Concierge, a new version of the optimized OSGi core framework implementation.

Prezentace ze semináře ODA Partner Enablement Zámek Berchtold, 12.4.2018 Prezentoval Patrik Plachý,Senior Consultant Oracle

Las nuevas arquitecturas, servicios y micro-servicios web, aplicaciones y apps, Bots, IoT, AI, etc., que demandan las organizaciones, necesitan cada vez más del talento y experiencia de los Administradores de Bases de Datos para dar consejos, sugerencias y respuestas que aporten un valor diferencial a los grupos de desarrollo y usuarios de negocio. Te mostramos las claves del nuevo rol del DBA, que complementa la “A” de Administrar con: Analizar, Aconsejar, Automatizar y crear Arquitecturas eficientes y Autónomas para la gestión Avanzada de datos, colaborando con los desarrolladores y usuarios desde un conocimiento profundo de las base de datos.

Dyn delivers exceptional Internet Performance. Enabling high quality services requires data centers around the globe. In order to manage services, customers need timely insight collected from all over the world. Dyn uses DataStax Enterprise (DSE) to deploy complex clusters across multiple datacenters to enable sub 50 ms query responses for hundreds of billions of data points. From granular DNS traffic data, to aggregated counts for a variety of report dimensions, DSE at Dyn has been up since 2013 and has shined through upgrades, data center migrations, DDoS attacks and hardware failures. In this webinar, Principal Engineers Tim Chadwick and Rick Bross cover the requirements which led them to choose DSE as their go-to Big Data solution, the path which led to SPARK, and the lessons that we’ve learned in the process.

Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a platform designed to address multi-faceted needs by offering multi-function Data Management and analytics to solve the enterprise’s most pressing data and analytic challenges in a streamlined fashion. They need a worry-free experience with the architecture and its components. 

Scaling multiple databases with a single legacy storage system works well from a cost perspective, but workload conflicts and hardware contention make these solutions an unattractive choice for anything but low-performance applications.

To Build Cloud-Native Apps Using Composable Enterprise Architecture Create Elastic Engineering (Pods) Teams To Manage SpecOps: From Specs to Ops

VMworld 2013 Michael Corey, Ntirety, Inc Jeff Szastak, VMware Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare

This document discusses how enterprise storage trends are driving new features in OpenStack. Traditional enterprise infrastructure is individualized while cloud applications are transitory and containers are more efficient but also more transient than VMs. This shift in responsibilities from infrastructure to applications is challenging traditional enterprise applications and IT organizations to manage everything on the cloud. OpenStack is working to address these challenges by improving features like live migration, replication, Fibre Channel support, quotas, and container storage integration to better support managing legacy enterprise applications in an enterprise cloud.

The document discusses new features and improvements in Couchbase 4.6, including timestamp-based conflict resolution for cross datacenter replication, secret management and pluggable authentication modules for security, and new CBImport and CBExport tools. It also covers updates to search and query functionality.

The effective use of big data is the key to gaining a competitive advantage and outperforming the competition. This change demands that companies consume and blend enormous amount of data created from divergent and inherently mismatched sources, which represents a paradigm shift to the traditional data warehouse. Companies need to modernize their data warehouse, augmenting it with a platform that allows storage, processing, exploration and analysis of large and diverse datasets without limiting the ability to deliver the data access, and flexibility responding to the needs of the business. That’s where Oracle Cloud and Qubole work together delivering a new breed of data platform —capable of storing and processing the overwhelming amount of data that on-premises big data deployments cannot handle. Watch this on-demand webinar to understand: - Why deploying big data on-premises is expensive, complex to maintain and limits your ability to scale across new use cases and data sources - How Oracle Bare Metal Cloud's predictable and fast performance compute and network services deliver the foundation of a cost-effective, high-performance big data platform - How Qubole leverages Oracle Bare Metal Cloud to provide a turnkey big data service that optimizes cost, performance, and scale, enabling self-service data exploration. Qubole delivers a cloud-based, turnkey, self-service big data service that removes the complexity and reduces the cost of doing big data. It leverages Oracle Bare Metal Cloud’s next generation of scalable, inexpensive and performant compute, network and storage public cloud infrastructure to provide a solution that accelerates time to market and reduces the risk of your big data initiatives.

This document summarizes James Kreuziger's presentation on optimizing MySQL for Cascade Server. The presentation covered choosing a MySQL version and configuration, testing tools, and the results of testing different MySQL configurations and key block sizes on storage space usage and load performance. It was aimed at Cascade administrators and provided an overview of topics like hardware requirements, the InnoDB buffer pool, and recommended resources for MySQL configuration and optimization.

This session provided an overview of Couchbase Solutions and whats latest and greatest in the new release. This session also talks about how easy is to develop with Couchbase and query the database

MySQL Cluster is the distributed, shared-nothing version of MySQL. It’s typically used for applications that need any combination of high availability, real-time performance, and scaling of reads and writes. After a brief introduction to the technology, its uses, and the new features added in MySQL Cluster 7.3, this session focuses on the very latest developments happening in MySQL Cluster 7.4. As you’d expect from a real-time, scalable, distributed, in-memory database, performance continues to be a top priority, as do simplicity of use and robustness. Come hear firsthand what’s being done to make sure MySQL Cluster continues to dominate in mission-critical, high-performance applications.

Cintra proposes two optimized Oracle database architecture solutions for Fusion Invest's 100 users: 1) A standard architecture using commodity x86 servers with database log replication for redundancy. 2) An Oracle Database Appliance architecture using physical servers in a non-clustered configuration with database log replication for redundancy. Both solutions would provide 24x7 monitoring for availability and performance as well as implementation and ongoing 24x7 support from Cintra. The costs provided include software licensing, hardware, implementation services, and ongoing support costs.

This document discusses lessons learned from implementing SharePoint on Azure. It covers Azure architecture concepts like virtual networks, cloud services, availability sets, and load balancing. It provides an example reference architecture for a hybrid on-premises and Azure environment. It also discusses topics like database planning, disk performance, server topology with multiple tiers, and reserving IP addresses. The presentation aims to share best practices for deploying SharePoint on Azure based on a real-world project.

Financial industry companies need Java EE to power for its business today. Rakuten Card, one of the largest credit card companies in Japan, adopted Java EE 7 for its credit card core systems architecture, from one of the oldest COBOL based mainframe in Japan. Additionally, we chose Apache Spark for super rapid batch execution platform. We completed this big core system migration project successfully. You can learn why we choose Java EE, and Apache Spark for super rapid batch execution, and our experiences and lessons we learned. How to start such a the big project? Why we choose it, how we ported, how use Apache Spark for performance improvements, and launched with? We’ll answer these questions and any that you may have. Additionally, we are going to unveil our future roadmap for expanding our systems as well, with the cutting edge technology and standards.

Discover the journey of PostgreSQL from its origins at UC Berkeley to its status as the world’s most favored open-source database. This presentation will explore significant historical shifts towards open-source software in enterprise settings and PostgreSQL’s continuous evolution to meet changing technological standards. We will highlight its extensive feature set, accommodating a variety of use cases such as GIS, full text search, JSON, graph, time series, business intelligence, and vector storage. Additionally, we will examine why PostgreSQL’s versatility is highly valued by developers, offering ease of development along with improved performance and scalability.

The document discusses Oracle Real Application Clusters (RAC) and provides examples of how it has enabled scalability and high availability for many large customers. It describes how RAC allows databases to scale horizontally across multiple servers, provides several customer cases that have implemented RAC with 4+ nodes, and highlights how RAC provides scalability by design through its instance and global cache architecture.

Learn how Comcast is building Database-as-a-service with Oracle's Enterprise Manager, Cloud Management Pack.

This document discusses the benefits of using FlexPod converged infrastructure for Oracle workloads such as JD Edwards EnterpriseOne. It highlights how FlexPod can help accelerate business processes, improve quality of service, mitigate risk, and provide a better return on investment compared to traditional infrastructure. It also provides performance metrics and details about how FlexPod has been validated for various Oracle solutions.

The document discusses Function as a Service (FaaS) and how it can be used with frameworks. FaaS allows developers to build and run application functionalities without managing infrastructure. It focuses on business logic over implementation details. The document provides an overview of FaaS and how it works using Apache OpenWhisk as an example. It also discusses how FaaS can scale functions on demand and be used for building microservices and REST APIs. Appsody is presented as a tool that uses FaaS and stacks to provide a development workflow for building cloud-native applications.

Function-as-a-service (FaaS) and serverless platforms increase productivity, enabling you to focus on application code, with the platform taking care of how to deploy, configure, run, and scale the code. They do however require you to adopt a new programming model, creating generic handlers or actions that lack the expressive APIs that you get from frameworks and standards such as Jakarta EE. In this session, you’ll learn how it’s now possible to create FaaS- and serverless-based applications using the same APIs you use today such as JAX-RS and you’ll see a live demo of an application being built and deployed as a cloud native application on Kubernetes using a combination of open source tools and Knative serving.

The move to microservices enables developers to rapidly create and innovate by giving them autonomy to build and deploy applications using the languages, frameworks and technologies that they choose. However, such move requires a cost. Developers require a deeper set of skills to create apps that integrate fully with cloud-native capabilities. The additional complexity is one of the main reasons why most “cloud applications” are co-hosted. Only 38% of cloud developers are leveraging cloud services, and just 12% are building cloud-native applications. These statistics indicate that the majority of applications do not fully leverage and integrate with the additional capabilities that the platform provides. This session will introduce you how to modernize existing and build new cloud-native applications, and show how to utilize open source tools to rapidly develop and build new cloud-native applications with best practises built-in.

Function-as-a-service (FaaS) and serverless platforms increase productivity, enabling you to focus on application code, with the platform taking care of how to deploy, configure, run, and scale the code. They do, however, require you to adopt a new programming model, creating handlers or actions instead of using expressive APIs such as JAX-RS that you have become familiar with. In this session, you’ll learn how it’s now possible to create FaaS- and serverless-based applications with the same APIs you use today and you’ll see a live demo of an application being built and deployed as a cloud native application on Kubernetes. Presented at Oracle Code One, Sept 16th 2019

The document outlines the history and progress of Server-Side Swift frameworks including Kitura, Vapor, and Perfect from 2015 to the present. It shows the initial releases of these frameworks in 2015-2016 as Swift was opened sourced, their updates to support new Swift versions, and formation of the Swift Server Work Group in 2016 to standardize and coordinate development. Key events include the releases of Swift-NIO in 2018 and ongoing work to graduate projects through the incubation process and improve performance, APIs, and scalability.

The Kitura Server-side Swift framework has built support for Swagger and OpenAPI directly into its framework so that it auto-generates its own OpenAPI specification. This presentation show's how that enables Kitura to be used in the much wider OpenAPI ecosystem.

The fundamental performance characteristics of Node.js make it ideal for building highly performant microservices for a number of workloads. Translating that into highly responsive, scalable solutions however is still far from easy. This session will not just discuss why Node.js is a natural fit for microservices, but will introduce you to the tools and best practices for creating, building, deploying, monitoring and tracing microservices that are both scalable and fault tolerant, and show through a live demo how do that with minimal effort. Speakers: Chris Bailey, Chief Architect, Cloud Native Runtimes, IBM Beth Griggs, Node.js Developer, IBM

There are an emerging set of architectures that are designed to optimise how front-end applications access back-end services, the most popular of which are the Backend-For-Frontend (BFF) pattern and the use of GraphQL. The BFF pattern takes the approach that the backend should be bespoke to the front-end it serves, optimised for that front-end, and ideally owned by the front-end team. GraphQL however sits at the other end of the spectrum: providing an optimised but utility backend for all frontends that is agnostic of the clients it serves. Give the two very different approaches, which is the right approach to take? This sessions will introduce the two approaches, highlight their advantages and disadvantages, and help you determine which you should be looking to adopt as the backend technology for your frontend applications.

The document discusses deploying Swift microservices with Docker and Kubernetes. It covers building a Swift microservice into a Docker container, deploying the container with Kubernetes, and integrating resiliency features like health checks, circuit breakers, and monitoring. Key points include using Dockerfiles to package the application, Helm charts to deploy to Kubernetes, liveness probes to check service health, and circuit breakers to handle failures of downstream services.

Codable, introduced in Swift 4, makes is possible to share Swift classes and structs between client and server, making it easy to share data. It can also be used to add such more type safety to other parts of Fullstack Swift. This presentations shows some of the many ways that Codable is being using in Kitura to enable Fullstack Swift.

In September last year Swift 3 was released, added official support for Swift on Linux for the first time. This provided the scope for Swift to be used for both front-end and back-end development, allowing iOS developers to gain the benefits of full-stack development that Web developers have enjoyed for some time. In just twelve months, this has moved from promise to reality, with full-stack Swift applications not just being possible but being developed and deployed by some of the largest companies in the world. In this session Chris and AB will introduce you to full-stack Swift development, show you how easy it is to get started, and talk about how the IBM MobileFirst for iOS Garage are building full-stack Swift applications their customers.

Server Swift has come a long way in the last 12 months, reaching a point where there are multiple successful frameworks and clouds. This session reviews the last year, announces some new capabilities, and outlines some of what to expect in the (near) future.

The document discusses key aspects of building scalable microservices including containerization, orchestration, monitoring, and performance optimization. It provides code examples for containerizing a Node.js application, deploying it with Kubernetes using a Helm chart, and implementing continuous delivery with Jenkins pipelines and DevOps toolchains. The document also covers understanding microservices performance by analyzing architecture diagrams showing public/private networks, services, and databases.

The document discusses the tradeoffs of different programming languages including Java, Node.js, and Swift. It covers topics like type safety, performance, developer productivity, memory management, and cloud computing costs as they relate to choosing the right language for different types of applications and workloads. Charts and data are presented to illustrate the comparisons.

The fundamental performance characteristics of Node.js, along with the improvements driven through the community benchmarking workgroup, makes Node.js ideal for highly performing micro-service workloads. Translating that into highly responsive, scalable solutions however is still far from easy. This session will discuss why Node.js is right for micro-services, introduce the best practices for building scalable deployments, and show you how to monitor and profile your applications to identify and resolve performance bottlenecks.

For just over a year, Swift has been available as a formal release on Linux and frameworks like Kitura and Vapor have made it possible to build mobile backends and web applications on the server. Running Server Swift is however not your own option for becoming a fullstack engineer and building backends in Swift. Amazon, Microsoft, Google, IBM and others are all also providing the ability to run Serverless (aka Lambdas or Functions), with some of those supporting the use of Swift. This session will introduce you to Serverless Swift, highlight how it compares to Server Swift and show you some applications that have been built with Server(less) Swift.

This document discusses Swift development at IBM and its advantages for full stack development. It shows how Swift can be used across mobile, web, and cloud to improve developer productivity. Graphs demonstrate Swift's performance and low memory usage compared to other languages. The document advocates for focusing on productivity over minor performance differences and teaches how to build a full stack app with Swift in 30 minutes. It provides resources for learning more about IBM's Swift development.

The range of languages and frameworks that are available for building server applications has exploded over the last few years, with the most recent of these being the Swift programming language, which IBM has been backing along with the Kitura application framework. But does this mean that Swift is the future and you should stop developing Java server applications? This session will give you an introduction to where and when you might use Kitura, and take you through the experiences of a long-time Java EE developer building their first Angular.js based Kitura application, and how that compares to building the same application with IBM WebSphere Liberty.

Java, Node.js, and Swift are three of the most popular and effective programming languages in use today. When presented with an opportunity to choose, it may not be clear which language is best suited for the job. This session will provide a tour of these languages and the use cases for which each is best suited.

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

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WhatsApp Tracker Software is an effective tool for remotely tracking the target’s WhatsApp activities. It allows users to monitor their loved one’s online behavior to ensure appropriate interactions for responsive device use. Download this PPTX file and share this information to others.

CViewSurvey is a SaaS-based Web & Mobile application that provides digital transformation to traditional paper surveys and feedback for customer & employee experience, field & market research that helps you evaluate your customer's as well as employee's loyalty. With our unique C.A.A.G. Collect, Analysis, Act & Grow approach; business & industry’s can create customized surveys on web, publish on app to collect unlimited response & review AI backed real-time data analytics on mobile & tablets anytime, anywhere. Data collected when offline is securely stored in the device, which syncs to the cloud server when connected to any network.

Explore the craft of program and project management, hearing from Atlassian Program Managers, local thought leaders, and more.

A captivating AI chatbot PowerPoint presentation is made with a striking backdrop in order to attract a wider audience. Select this template featuring several AI chatbot visuals to boost audience engagement and spontaneity. With the aid of this multi-colored template, you may make a compelling presentation and get extra bonuses. To easily elucidate your ideas, choose a typeface with vibrant colors. You can include your data regarding utilizing the chatbot methodology to the remaining half of the template.

Ansys Mechanical enables you to solve complex structural engineering problems and make better, faster design decisions. With the finite element analysis (FEA) solvers available in the suite, you can customize and automate solutions for your structural mechanics problems and parameterize them to analyze multiple design scenarios. Ansys Mechanical is a dynamic tool that has a complete range of analysis tools.

Our world runs on software. It governs all major aspects of our life. It is an enabler for research and innovation, and is critical for business competitivity. Traditional software engineering techniques have achieved high effectiveness, but still may fall short on delivering software at the accelerated pace and with the increasing quality that future scenarios will require. To attack this issue, some software paradigms raise the automation of software development via higher levels of abstraction through domain-specific languages (e.g., in model-driven engineering) and empowering non-professional developers with the possibility to build their own software (e.g., in low-code development approaches). In a software-demanding world, this is an attractive possibility, and perhaps -- paraphrasing Andy Warhol -- "in the future, everyone will be a developer for 15 minutes". However, to make this possible, methods are required to tweak languages to their context of use (crucial given the diversity of backgrounds and purposes), and the assistance to developers throughout the development process (especially critical for non-professionals). In this keynote talk at ICSOFT'2024 I presented enabling techniques for this vision, supporting the creation of families of domain-specific languages, their adaptation to the usage context; and the augmentation of low-code environments with assistants and recommender systems to guide developers (professional or not) in the development process.

Efficient hot work permit software for safe, streamlined work permit management and compliance. Enhance safety today. Contact us on +353 214536034. https://sheqnetwork.com/work-permit/

Hironori Washizaki, "Charting a Course for Equity: Strategies for Overcoming Challenges and Promoting Inclusion in the Metaverse", IEEE COMPSAC 2024 D&I Panel, 2024.

Explore the rapid development journey of TryBoxLang, completed in just 48 hours. This session delves into the innovative process behind creating TryBoxLang, a platform designed to showcase the capabilities of BoxLang by Ortus Solutions. Discover the challenges, strategies, and outcomes of this accelerated development effort, highlighting how TryBoxLang provides a practical introduction to BoxLang's features and benefits.

Splunk Presentation

Are you wondering how to migrate to the Cloud? At the ITB session, we addressed the challenge of managing multiple ColdFusion licenses and AWS EC2 instances. Discover how you can consolidate with just one EC2 instance capable of running over 50 apps using CommandBox ColdFusion. This solution supports both ColdFusion flavors and includes cb-websites, a GoLang binary for managing CommandBox websites.

NBFC Software: Optimize Your Non-Banking Financial Company Enhance Your Financial Services with Comprehensive NBFC Software NBFC software provides a complete solution for non-banking financial companies, streamlining banking and accounting functions to reduce operational costs. Our software is designed to meet the diverse needs of NBFCs, including investment banks, insurance companies, and hedge funds. Key Features of NBFC Software: Centralized Database: Facilitates inter-branch collaboration and smooth operations with a unified platform. Automation: Simplifies loan lifecycle management and account maintenance, ensuring efficient delivery of financial services. Customization: Highly customizable to fit specific business needs, offering flexibility in managing various loan types such as home loans, mortgage loans, personal loans, and more. Security: Ensures safe and secure handling of financial transactions and sensitive data. User-Friendly Interface: Designed to be intuitive and easy to use, reducing the learning curve for employees. Cost-Effective: Reduces the need for additional manpower by automating tasks, making it a budget-friendly solution. Benefits of NBFC Software: Go Paperless: Transition to a fully digital operation, eliminating offline work. Transparency: Enables managers and executives to monitor various points of the banking process easily. Defaulter Tracking: Helps track loan defaulters, maintaining a healthy loan management system. Increased Accessibility: Cutting-edge technology increases the accessibility and usability of NBFC operations. Request a Demo Now!

Active Directory Audit

Class based indexes feature in Django

dachnug51 | All you ever wanted to know about domino licensing | Uffe Sorensen

The three duality theorems of fold.

AWS Cloud Practitioner Essentials (Second Edition) (Arabic) AWS Security .pdf

Discover the rich history of US Independence Day 2024, tracing its origins and evolution as a national holiday, and its significance today.

Mindfire Solutions specializes in DevOps services, facilitating digital transformation through streamlined software development and operational efficiency. Their expertise enhances collaboration, accelerates delivery cycles, and ensures scalability using cloud-native technologies. Mindfire Solutions empowers businesses to innovate rapidly and maintain competitive advantage in dynamic market landscapes.