The good, the bad, and the ugly of migrating hundreds of legacy applications to a cloud native platform

SpringOne Platform 2016 Speaker: Alois Reitbauer; Chief Technology Strategist, Dynatrace The cloud has transformed the way we build applications. Early adopters prove that the benefits manifest in delivering value faster to the customer, less operational costs and more productive teams. The interesting question is how to get there, especially if you cannot simply start over and get your current applications benched. Through numerous customer engagements we have learned that there is a pattern followed by companies that do this successfully. This talk show you: -How to deploy faster without breaking things -Start decoupling a monolith without breaking your business logic. -Help developers build application using a new paradigm -Dynamically scale your applications to save costs -Manage highly dynamic larger-scale micro services without increasing operational costs As we will walk through the journey we share learning covering challenges and possible solutions on the organizational, development and operational side. As a company that has gone through this transformation itself while onboarding over 500 new customers we have some interesting stories to share.

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ContainerDays 2019, Hamburg: Talk by Mario-Leander Reimer (@LeanderReimer, Principal Software Architect at QAware) === Please download slides if blurred! === Abstract: The world of IT and technology is moving faster than ever before. Cloud native technology and application architecture have been influencing and disrupting the software engineering discipline for the past years and there is no end in sight. But according to Gardner we are currently entering the trough of disillusionment. So does this mean we followed the wrong path and that we should turn back? Hell no!!! Despite of all disbelievers and trolls: cloud native is neither a failure nor a hype anymore! It will become mainstream. We already see widespread adoption at all our customers. Of course there still is a lot of room for improvement. No doubt about that. Technology, methodology, processes, operations, cloud native architecture and software development need to mature even further to become boring and ready for the enterprise. This is software industrialization in its purest form. And our skills and expertise are required to make this happen.

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As a cloud native application grows in size—more microservices, more dependencies, more teams—there’s a corresponding increase in… Complexity: Over time, the application becomes a lot harder for a single developer to reason about and contribute to. Staying on top of READMEs and managing cross-team communication is practically a full-time job. Scaling challenges: The reality of building, deploying, and testing a 100+ service distributed application means developers are going to spend a lot of time sitting around waiting. But it doesn’t have to end up this way, and there are concrete steps that DevOps engineers can take to keep their developers moving quickly even as an application grows. In this webinar, we’ll show you how to use open source products to: Make it easy for your developers to code and run on-demand tests against a production-like environment—without having to constantly deal with the complexity that comes with a large application Codify the relationship between all your services and tests, making your system self-documented and easy to understand Keep your integration tests running fast so that devs can more easily write and debug their tests and get the quick feedback loops they need Facilitate remote, in-cluster development and give every developer their own isolated namespace—and never again ask a developer to deploy the application on their laptop

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With the growing adoption of Kubernetes, organizations want to take advantage of containerized Microsoft SQL Server 2019 to optimize transactional performance and accelerate time-to-insights from their business-critical data. However, as enterprises embrace hybrid cloud strategy, they need to consider several aspects based on the performance, cost and data protection requirements for running enterprise-grade SQL Server databases. In this webinar, we will compare and contrast various cloud-native platforms for SQL Server that would help CIOs, DevOps engineers, database administrators and applications architects to determine the most suitable platform that fits their business needs. Join us as we explore some exciting results from a recent performance benchmark study conducted by McKnight Consulting Group, an independent consulting firm, to compare the performance of Microsoft SQL Server 2019 on the best possible configurations of the following Kubernetes platforms: Diamanti Enterprise Kubernetes Platform Amazon Web Services Elastic Kubernetes Service (AWS EKS) Azure Kubernetes Service (AKS) Topics will include: Platform considerations and requirements for running Microsoft SQL Server 2019 Performance comparison and analysis of running SQL Server on various platform Best practices for running containerized SQL Server databases in Kubernetes environment

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Operations practices have historically lagged behind development. Agile and Extreme Programming have become common practice for development teams. In the last decade, the DevOps and SRE movements have brought these concepts to operations, borrowing heavily from Lean principles such as Kanban and Value Stream Mapping. So, how does all of this play out if we’re using Kubernetes? In this class, Paul Czarkowski, Principal Technologist at Pivotal, will explain how Kubernetes enables a new cloud-native way of operating software. Attend to learn: ● what cloud-native operations are; ● how to build a cloud-native CI/CD stack; and ● how to deploy and upgrade an application from source to production on Kubernetes. Presenter: Paul Czarkowski, Principal Technologist, Pivotal Software

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Join Datadog for a webinar on monitoring Kubernetes with a focus on Amazon EKS. You'll learn how to get the most out of Datadog's intuitive platform and EKS's unique capabilities, including: How to monitor metrics, logs and traces from your EKS environment How to test the usability of your environment with features such as adaptive Browser Tests and globally available Real User Monitoring How to find and fix user-facing issues with synthetic monitoring features like adaptive Browser Tests and globally available Real User Monitoring

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SpringOne Platform 2017 Tony van Büüren van Heijst, Virtustream; Craig Steel, Pivotal Enterprises increasingly use software innovation to gain competitive advantage, and in some cases, to change industries and disrupt business models. This focus on software innovation demands a cloud-native application platform that enables rapid application development and delivery in a secure and compliant cloud, while insulating developers from the daily operational complexities. Attend this session to learn about how Virtustream Pivotal Cloud Foundry Service empowers DevOps with an enterprise-class, fully managed cloud-native application development platform-as-a-service (PaaS) to drive enterprise software innovation.

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The benefits of Model-Based Systems Engineering (MBSE) and SysML are well established. As a result, users want to apply MBSE to larger and more complex Industrial IoT applications. Industrial IoT applications can be very challenging: They are distributed. They deploy components across nodes spanning from small Devices to Edge computers to the Cloud. They often need mathematically-complex software. Moreover, they have strict requirements in terms of performance, robustness, and security. SysML can model requirements, system components, behavior, interactions, and more. However, SysML does not provide a robust way to connect components running across different computers, especially when the security and quality of service of individual data-flows matter. SysML also does not provide all the tools needed to model and generate the (mathematical) code for complex dynamic systems. A new “DDS + Simulink” MagicDraw SysML plugin has been developed to addresses these needs. It brings to MagicDraw users the capabilities of Connext DDS from RTI and Simulink from Mathworks: The OMG Data-Distribution Service (DDS) is a secure and Qos-aware connectivity “databus”. DDS is considered the core connectivity framework for Software Integration and Autonomy by the Industrial Internet Consortium. Connext DDS is the leading implementation of the DDS standard, proven in 1000s of critical deployments. Simulink is a tool for modeling and implementing the code needed for complex dynamic systems. It is widely deployed in many application domains including Automotive, Robotics, and Control Systems. The new MagicDraw plugin defines a “DDS profile” for SysML that can model a distributed application connected using the DDS databus. The plugin can also generate the artifacts that configure the DDS databus (Topics, Data Types, Qos, etc.) and the adapters to Simulink and native code (e.g. C++ or Java). By integrating three best-of class technologies: SysML, DDS and Simulink it is now possible to do MBSE for a wide range of Industrial IoT applications.

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Learn how to accelerate and de-risk your cloud migration project Despite the surge in enterprises migrating applications to the public cloud, more than half of all projects are delayed or over budget and an even greater number are more difficult than expected.1 Cloud Migrations don’t begin when you start moving applications into the cloud. They begin with your application landscape discovery and assessment. The second phase comprises the actual migration where applications are moved to the public cloud. Working with purpose-built enterprise-grade cloud migration platforms, especially those that partner to integrate both phases greatly simplifies and accelerates projects. RISC Networks and Velostrata have teamed up to deliver this webinar where we’ll share real-world examples, tips, and tricks on crafting a seamless cloud migration from start to completion.

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By 2021, 98% of organizations plan to adopt multicloud architectures, but only 41% have a multicloud management strategy and just 38% have procedures and tools to operate a multicloud environment. As an IT leader you don't want to stifle forays into multicloud as it is an engine to efficiently support growth, innovation and transformation, however, it can be one of the most challenging changes that organizations face. Join IBM for the keynote presentation where we’ll discuss: • Opportunities and inherent challenges for organizations as applications across categories migrate to multicloud • Stages of multicloud transformation • Best practices from organizations that are succeeding with a multicloud environments

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In this #CLUS 2019 session, you will learn how NETSCOUT’s smart data platform enables continuous monitoring in hybrid cloud environments to minimize risk and accelerate customer migration to the Cloud. You will review real-life examples of how businesses optimized their Cloud migration gaining visibility and deep insights, in both physical and virtual worlds, to maintain continuity and security of the services throughout the migration process.

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NGINX’s open source technology is to be found at the core of many cloud and end user initiatives, from massive-scale CDNs and Load Balancers to individual Security and Application Delivery solutions. Millions of users worldwide have deployed NGINX to improve the performance, scale, reliability and security of their applications. In this presentation, we’ll look at case studies, and dive into some of the powerful ways that NGINX can be deployed on cloud and container-lead environments. This webinar considers application delivery techniques from cloud providers such as Amazon, and compare them with solutions you can tailor to your needs yourself within HSBC. Concluding, our presenter Mark looks at some of the newly released products and solutions from the NGINX team, including the Unit application server and Controller management platform; as well as our recent acquisition by f5. https://attendee.gotowebinar.com/register/695307363155444993 What you will take away from the webinar: - Achieve better application management - Create flexible deployment - Deliver better API management - Avoid vendor lock-in

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IBM z Systems with the new z13 is the backbone infrastructure for the evolving digital era. Built on over 50 years of experience and billions of dollars in developing leading-edge technology, it is at the forefront of modern Information Technology. On different domains. Mr. Poquillon illustrates IBMs’ z13 pre-eminence by highlighting its assets such as its shared-everything approach and centralized management of resources that make it naturally fit for cloud; its hybrid transaction/analytics processing capabilities that provide real-time analytics more efficiently to in-process transactional data, and finally its ability to provide the scale and performance a business needs to survive the mobile and social onslaught.

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As companies continue to migrate their applications to the cloud, they need increased levels of infrastructure and application visibility. In this webinar, you’ll learn how to: - Enable your DevOps teams with seamless and instant application and business performance monitoring of apps deployed in Pivotal Cloud Foundry (PCF) - Detect any emerging issue before it becomes a business problem - Ensure every code release drives business outcomes Speakers: Kamala Dasika, Pivotal Mark Prichard & Jonah Kowal, AppDynamics

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Hybrid cloud architecture creates security, governance, user experience, and performance challenges. In this session, learn to use Citrix Workspace to create a secure digital perimeter, enhancing security policy controls. Provide instant access for users to manage SaaS and virtualized Microsoft apps and unique data loss prevention features with on-premises data centers and AWS. Use Citrix to deploy machine learning (ML)-enhanced, user behavior analytics (UBA) with new security insights. Learn how your network can deeply inspect and optimize traffic, increasing the resiliency, performance, and security of hybrid application stacks. Build and move workloads onto AWS, improve legacy approaches to securing data, and create a world-class user experience. This session is brought to you by AWS partner, Citrix.

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One aspect is crucial, when preserving IT value through cloud-friendly migration of legacy applications: Transparency. You need full visibility on the source application landscape, on the migration process, and on the target cloud environment. Without transparency, your effort, time targets and also quality go overboard –- you’ll experience an agonizing blind flight with a high risk of accidents. In the keynote, I will show the most important measures and tools with which you can create the visibility that has proven decisive in our many hundreds of migration projects.

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Istio is the cool new kid on the service mesh block: it can be deployed without the need for any change on the microservice-side and enhances their communication paths with encryption, resiliency, identity and access management, observability with metrics and traces and policy enforcement. In this lightning talk I'll talk you through an Istio sample application incorporating all major features. The sample will be released on github and will also run on minikube.

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Kubernetes und Docker sind trotz des hohen Verbreitungsgrads noch relativ junge Technologien. Viele Menschen machen gerade gute und teilweise auch schmerzliche Erfahrungen mit beiden. Der Vortrag bietet einen Katalog an Patterns und Antipatterns bei der Entwicklung von Anwendungen auf Basis Kubernetes und Docker. Der Katalog repräsentiert dabei die Erfahrung aus mehreren Industrieprojekten, die es bis in Produktion geschafft haben. Es geht darum, was man bei Docker-Files und Kubernetes-Deskriptoren richtig und falsch machen kann; welche Architekturbausteine man einsetzen sollte; wie die Continuous Delivery Pipeline gestaltet werden sollte und wie Anwendungen auf Cloud-Native-Plattformen gut betreibbar und diagnostizierbar gemacht werden können.

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Running applications on Kubernetes can provide a lot of benefits: more dev speed, lower ops costs, and a higher elasticity & resiliency in production. Kubernetes is the place to be for cloud native apps. But what to do if you’ve no shiny new cloud native apps but a whole bunch of JEE legacy systems? No chance to leverage the advantages of Kubernetes? Yes you can! We’re facing the challenge of migrating hundreds of JEE legacy applications of a major German insurance company onto a Kubernetes cluster within one year. We're now close to the finish line and it worked pretty well so far. The talk will be about the lessons we've learned - the best practices and pitfalls we've discovered along our way. We'll provide our answers to life, the universe and a cloud native journey like: - What technical constraints of Kubernetes can be obstacles for applications and how to tackle these? - How to architect a landscape of hundreds of containerized applications with their surrounding infrastructure like DBs MQs and IAM and heavy requirements on security? - How to industrialize and govern the migration process? - How to leverage the possibilities of a cloud native platform like Kubernetes without challenging the tight timeline?

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Anwendungen nativ für den Betrieb in der Cloud auszulegen, ist der Architekturstil der Stunde: Microservices, 12-Factor Apps und Serverless-Architecturen sind en vogue. Daneben gibt es Java EE, das sich über Jahre bewährt hat beim Bau von Java-Anwendungen fürs Unternehmen. Java-EE-Anwendungen im modernen Cloud-Native-Stil zu entwickeln- ist kein Widerspruch, sondern ein Zugewinn: Man kann damit Enterprise-Anwendungen bauen, die reif für die Cloud-Ära sind. Der Vortrag zeigt am laufenden Beispiel, wie man eine Cloud-Native-Java-EE-Anwendung entwickelt und wie sich Java-EE-APIs wie JAX-RS, CDI und JPA integrieren mit Cloud-Native-Infrastruktur wie DC/OS, Kubernetes, Hystrix, Traefik, Consul und Docker. Dabei wird nicht nur blanke Technologie gezeigt, sondern auch das Thema Cloud Native Java EE auf Architekturebene betrachtet.

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Cloud native applications are popular these days – applications that run in the cloud reliably und scale almost arbitrarily. They follow three key principles: They are built and composed as microservices, they are packaged and distributed in containers and the containers are executed dynamically in the cloud. In this hands-on session we will show how to build, package and deploy cloud native Java EE applications on top of DC/OS - fully automated with Gradle using cloud native infrastructure like Consul, Fabio, Hystrix and Prometheus. And for the fun of it we will be using an off-the-shelf DJ pad, programmed with nothing else than the Java Sound API, to demonstrate the core concepts and to visualize and remote control DC/OS.

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Users leave thousands of traces per second on a successful ecommerce site. It’s very pragmatic to analyse and react on this trace event stream in realtime. This is called clickstream analysis. In the talk I’ll present a software architecture based on Apache Spark which is able to process thousands of clickstream events per second. A product based on this architecture is in production since mid 2015 and is still performing well. The building blocks of the architecture beside Spark are Kafka to handle the inbound event stream, Spark Streaming for initial stream processing and Parquet as serialization format. I argue why we’ve chosen these technologies and what experiences we had in developing, launching and operating the product.

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Manche Softwaresysteme sind Intensivpatienten: Sie können nur mit hohem Aufwand weiter am Leben gehalten werden. Sämtliches Budget wird verbraucht, um Qualitätsschulden zurück zu zahlen: Bugs fixen; Performance tunen; Sicherheitslöcher stopfen; Architekturbrüche auflösen. Wir stellen im Vortrag die 4 Schritte der Software-Sanierung vor: Erstens, die Probleme erfassen. Hierbei hilft uns ein Diagnoseverfahren, das der Medizin entlehnt ist. Zweitens, die Ursachen identifizieren. Hier zählt es, die richtigen (Open-Source-) Werkzeuge einzusetzen zur statischen Analyse von Code- und Architekturanomalien und zur dynamischen Analyse von Laufzeitanomalien. Drittens, Maßnahmen ableiten und umsetzen sowie einen wirksamen und vernünftig priorisierten Maßnahmenkatalog erstellen und daraus Refactoringpläne ableiten und ausführen. Viertens, die Erfolge messen also bestimmen, wie wirksam die Maßnahmen wirklich waren, ob das Ziel schon erreicht ist, oder ob weitere Maßnahmen angegangen werden müssen. Neben dem eigentlichen Ablauf beschreiben wir eine Reihe an Methoden, Best Practices und Werkzeuge, die dabei erfolgskritisch sind.

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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

Exploring Multimodal Embeddings with Milvus

Zilliz

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

MadyBayot

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

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Apidays New York 2024 - The value of a flexible API Management solution for O...