Designing Microservices

I'm covering a new trend in distributed enterprise architecture – microservices. How the leading technology companies like Netflix and Amazon come to use that approach. How does it help them to scale their infrastructure. And how the newest set of tools in the Spring family would help you to apply those design principles in practice. Spring has always been about patterns and Spring Cloud brings you implementation of several widespread ones for distributed apps. And we'll try to show why DevOps should come in front of Microservices approach

Welcome to my post on ‘Architecting Modern Data Platforms’, here I will be discussing how to design cutting edge data analytics platforms which meet the ever-evolving data & analytics needs for the business. https://www.ankitrathi.com

The document discusses various options for modernizing applications, including rehosting, refactoring, rearchitecting, and rebuilding apps. Rehosting involves moving apps to cloud infrastructure with minimal changes. Refactoring leverages existing code while taking advantage of cloud capabilities. Rearchitecting involves major code revisions for cloud-native apps and microservices. Rebuilding apps is building new apps using cloud-native platforms from the ground up. The document provides benefits, definitions, considerations, and technologies for each option to help determine the best modernization approach.

This document provides an overview of Mustafa Kara's background and expertise in datacenter transformation. It discusses his 10 years of experience in roles such as senior consultant, Azure MVP, technical manager, and technical trainer. It then outlines his work as a speaker and writer for Microsoft events, Virtual Academy, universities, and personal websites. The rest of the document discusses strategies for transforming the datacenter, including moving from on-premises physical servers and VMs to a hybrid cloud model using public cloud off-premises and cloud on-premises. It highlights tools like Azure Migrate and database migration services that can help analyze costs and migrate applications, VMs, and data.

This document discusses the transition from monolithic architecture to microservices architecture. It begins by outlining challenges with monolithic systems like long development cycles and difficulties scaling. It then defines microservices as loosely coupled services that have bounded contexts. The document provides examples of how to evolve a monolith to microservices by starting with existing services and gradually decomposing the monolith. It acknowledges challenges in distributed systems and eventual consistency that come with microservices. Overall, the document presents microservices as enabling faster innovation, increased agility and delighted customers compared to monolithic systems.

This document provides an overview of Microsoft Azure, Microsoft's public cloud platform. It discusses Azure's infrastructure as a service (IaaS) and platform as a service (PaaS) offerings, as well as other services like compute, storage, networking, databases, web apps, and identity and access management. Usage statistics show that Azure trails only Amazon Web Services (AWS) in market share of public cloud providers. The document outlines how to sign up for a free Azure trial account and lists additional Microsoft resources for learning about Azure.

The presentation from our online webinar "Design patterns for microservice architecture". Full video from webinar available here: https://www.youtube.com/watch?v=826aAmG06KM If you’re a CTO or a Lead Developer and you’re planning to design service-oriented architecture, it’s definitely a webinar tailored to your needs. Adrian Zmenda, our Lead Dev, will explain: - when microservice architecture is a safe bet and what are some good alternatives - what are the pros and cons of the most popular design patterns (API Gateway, Backend for Frontend and more) - how to ensure that the communication between services is done right and what to do in case of connection issues - why we’ve decided to use a monorepo (monolithic repository) - what we’ve learned from using the remote procedure call framework gRPC - how to monitor the efficiency of individual services and whole SOA-based systems.

Introduction of Microsoft Azure, What are the Advantages of Microsoft Azure, Use case scenarios of Azure.

YouTube Link: https://youtu.be/xuH81XGWeGQ ** Microservices Architecture Training: https://www.edureka.co/microservices-... ** This Edureka's video on Microservices Design Patterns talks about the top design patterns you can use to build applications. In this video, you will learn the following: 1:29 Why do we need Design Patterns? 3:41 What are Design Patterns? 4:28 What are Microservices? 6:00 Principles behind Microservices 10:24 Microservices Design Patterns Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Castbox: https://castbox.fm/networks/505?country=in

Get a quick overview of the following topics: 1.Azure Boards 2.Azure Pipelines 3.Azure Repos 4.Azure Test Plans 5.Azure Artifacts

This is a brief introduction to Microsoft Azure cloud. I used these slides in an intro session for developers. I did few demos during the session that not included in the slide. Brand name and logos are properties of their respective owners.

Are you considering Microservice architecture for your next project? Are you planning to migrate an existing legacy / monolithic application to Microservices? Are you curious about Microservice architecture? If the answer to one of the above questions is YES, then this session is for you. Join me to know all about Microservice architecture: - When to adopt it? - When not to adopt it? - How to assess your team’s readiness to adopt Microservice architecture? - Starting a new project with Microservice architecture. - Migrate an existing project to Microservice architecture. - Microservice architecture main anti-patterns and how to fix them. - Are monoliths really that bad?

Azure Fundamentals Storage Wepapps Cloud Service Virtual Machine Media Services Azure Search Active Directory

1) Event-driven microservices involve microservices communicating primarily through events published to an event backbone. This loosely couples microservices and allows for eventual data consistency. 2) Apache Kafka is an open-source streaming platform that can be used to build an event backbone, allowing microservices to reliably publish and subscribe to events. It supports streaming, storage, and processing of event data. 3) Common patterns for event-driven microservices include database per service for independent data ownership, sagas for coordinated multi-step processes, event sourcing to capture all state changes, and CQRS to separate reads from writes.

The document provides an overview of microservices architecture. It discusses key characteristics of microservices such as each service focusing on a specific business capability, decentralized governance and data management, and infrastructure automation. It also compares microservices to monolithic and SOA architectures. Some design styles enabled by microservices like domain-driven design, event sourcing, and functional reactive programming are also covered at a high level. The document aims to introduce attendees to microservices concepts and architectures.

Observability - to monitor why applications are dysfunctional on-premise or cloud - integrated into a SIEM

This is a small introduction to microservices. you can find the differences between microservices and monolithic applications. You will find the pros and cons of microservices. you will also find the challenges (Business/ technical) that you may face while implementing microservices.

Habitat is an open source tool for automating the build, deployment, and management of applications. It defines a standard lifecycle for applications that includes building, deploying, running, and managing applications and their dependencies. Habitat packages applications and dependencies together, and uses supervisors to manage applications in production. It aims to simplify and standardize the delivery of developer services by automating common tasks like configuration, service discovery, and clustering across different runtime environments.

The document discusses implementing DevOps to address challenges of a "two speed IT" architecture with both innovative and industrialized parts. It proposes adopting a DevOps methodology to break down silos, address execution challenges, and bring startup flexibility to the enterprise. This includes cultural, architectural and DevOps transformations to balance agility and stability across edge applications, core applications and shared services. It provides an example roadmap for a phased DevOps adoption with initial proofs of concept and incremental implementations.

Introduction into microservices and overview of Azure service fabric. Overview of basic concepts of microservices and architectural patterns.

In this workshop, we will explore the different approaches to migrating Microsoft applications to AWS. We’ll walk through the concerns and considerations to take into account while planning a migration, and learn how to develop and implement a migration plan to move applications from on-premises (or traditional hosting) to AWS. This session will use a case study format to dive deep into the details of how to successfully plan an application migration. To keep it real, teams will work through planning a SharePoint migration that integrates in with an existing Active Directory.

IT needs to run in production in order to generate business value. DevOps is among other things a way of thinking focusing on production software. A business application requires a tailor made platform to generate business value. The combination of application and its platform is a DevOps product. The DevOps team has full responsibility for that product through its entire lifecycle. The microservices architecture promises flexibility, scalability, and optimal use of compute resources. Via independent components with well-defined scope and responsibility, interface, and ownership that are evolved and managed in an automated DevOps process, this architecture leverages current technologies and hard-learned insights from past decades. This session defines the objectives of Business with IT, of microservices and DevOps and introduces Containers and the container platform Kubernetes as crucial ingredients for making DevOps happen.

The document discusses the benefits of cloud computing across several industries and use cases. It outlines how cloud computing provides standardized, automated infrastructure that can quickly scale up or down on demand. This allows organizations to reduce IT costs, improve efficiency, and focus on their core business rather than infrastructure management. The cloud also enables faster development and deployment of applications and services.

The document discusses microservices and how Azure supports the microservices architecture for modern applications. It defines microservices and service-oriented architecture as an approach to building applications as independent, interoperable services. It then describes the various Azure PaaS options for hosting microservices, such as App Service, Functions, and Service Fabric. It also covers supporting Azure services for state management, caching, storage, and monitoring microservices applications. Finally, it provides an example topology of a photo sharing solution built with multiple Azure microservices.

This document discusses strategies for migrating legacy .NET applications to Azure. It begins by outlining expectations and common scenarios for legacy vs cloud-native applications. It then covers considerations for migrating different application types like thick clients, websites, and services. Key aspects addressed include database options, security, performance, and pricing. The document provides a 3 step approach of assessment, migration, and optimization. It offers numerous Azure-specific resources and tools to assist with migration.

For enterprises trying to stay ahead of the game, having a robust and fast application development program can make or break their market presence. The challenge for developers, however, is to build responsive, devise-agnostic applications in days, not months.

This document discusses innovation and application modernization using open source tools like Kubernetes and containers. It begins by outlining the challenges of migrating applications to the cloud and describes different approaches from simply redeploying applications to fully rearchitecting them. It then discusses how open source tools like Kubernetes and containers can help with application modernization approaches like lift and shift, microservices, machine learning, and IoT solutions. Specific capabilities and scenarios are provided for each along with examples. The document closes by discussing Microsoft's contributions to open source projects in the Kubernetes and container ecosystem.

This document discusses innovation with open source tools and application modernization. It begins by outlining the challenges of cloud migration versus modernization. It then covers how applications have shifted from monolithic to microservices architectures using containers and Kubernetes. Various scenarios for containerization and app modernization are presented, including lift-and-shift, microservices, machine learning, and serverless architectures. Microsoft Azure tools that can help with containerization, Kubernetes management, DevOps, and app modernization are also described. The document emphasizes that open source tools and containers allow developers to innovate faster while Azure services provide security, management and governance.

Docker concepts and microservices architecture are discussed. Key points include: - Microservices architecture involves breaking applications into small, independent services that communicate over well-defined APIs. Each service runs in its own process and communicates through lightweight mechanisms like REST/HTTP. - Docker allows packaging and running applications securely isolated in lightweight containers from their dependencies and libraries. Docker images are used to launch containers which appear as isolated Linux systems running on the host. - Common Docker commands demonstrated include pulling public images, running interactive containers, building custom images with Dockerfiles, and publishing images to Docker Hub registry.

This document discusses cloud-native applications and serverless computing. It begins with an introduction to cloud-native applications and core technologies like containers, orchestrators, and microservices. Examples are then given of how companies like Fujifilm and ASOS have benefited from serverless architectures on Azure. The document concludes with an overview of Azure serverless services like Functions, Event Grid, Cosmos DB, and Logic Apps and a sample serverless application architecture diagram.

This document provides an overview of cloud computing and its key concepts. It discusses the main types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also covers the major cloud providers Azure and OpenStack and provides examples of common cloud use cases like web and mobile applications, big data analytics, and online storage.

We describe and demonstrate how to build continuous deployment processes for microservices and applications that require a high level of stability and multi-container scalability. In addition, we share the use cases of Docker multi-containers provisioning, full monitoring of their performance and automation of the management processes within the Jelastic cloud solution.

Modelos de Cloud Computing - IAAS - PAAS . SAAS - Arquitecturas Serverless- Nubes Privadas y Públicas - Estrategias Híbridas

Once-stable industries are rapidly being disrupted as companies move toward digitalization by embracing software at their core. Deploying cloud-native application architectures is at the center of how these businesses are fueling their disruptive character.

This is the slide deck for the DFW Azure User Group meetup of 18 July 2017, presented by Doug Vanderweide and discussing Azure's services that support a microservices architecture.

Today, the large public Clouds - Azure and AWS - deploy at high-speed a diversity of services and features. Between Azure Functions, Lambda, Event Grid, Simple Workflow Service or Logic Apps, what to choose? Shall I go on Microservices? Event-Driven? Lambda Architecture? Deploy on Serverless? Containers? Modern Compute? Let's put a bit of order in all that. Enter the Modern Architecture, the foundation of all the new wave of Cloud services and not only. Session focused on application and infrastructure architecture, live examples based on Cloud, perspectives and roadmap of the corresponding services at Microsoft.

In this session, we embark on a transformative journey from traditional on-premises hosting to the dynamic Azure cloud. Focused specifically on .NET web applications, we’ll explore the challenges, strategies, and best practices for migrating your beloved web apps to the Azure ecosystem.

The document discusses the infrastructure and APIs available for Windows Phone development. It outlines the core plumbing, common type system, and standard programming model that make up the infrastructure. It then lists many of the Windows Phone Platform APIs that are available for developers to use, including APIs for tasks, controls, media, and more. It also includes code examples and references to Microsoft documentation and resources for Windows Phone development.

Microsoft provides an AI platform and tools for developers to build, train, and deploy intelligent applications and services. Key elements of Microsoft's AI offerings include: - A unified AI platform spanning infrastructure, tools, and services to make AI accessible and useful for every developer. - Powerful tools for AI development including deep learning frameworks, coding and management tools, and AI services for tasks like computer vision, natural language processing, and more. - Capabilities for training models at scale using GPU accelerated compute on Azure and deploying trained models as web APIs, mobile apps, or other applications. - A focus on trusted, responsible, and inclusive AI that puts users in control and augments rather than replaces human

Researchers used deep learning techniques like ResNet and data augmentation to improve the accuracy of detecting snow leopards from 63.4% to 90%. They used transfer learning on a ResNet model to extract features from images, then trained a logistic regression classifier on those features to detect snow leopards. They also averaged predictions from multiple images and doubled their training data by flipping images horizontally. This helped improve the model's ability to identify snow leopards in photos.

HMD shipments are forecast to grow rapidly over the next few years, reaching around 76 million units by 2020. Immersive computing technologies like virtual reality, augmented reality and mixed reality are poised for growth as they blend physical and digital worlds and allow for natural language and gesture-based interactions. Developers can create immersive applications for these platforms across entertainment, training, manufacturing and other areas using tools like Unity, Windows Mixed Reality and Azure cognitive services.

This document contains configuration information for endpoints and runtime execution for a process. It specifies starting the process with the startup.cmd file and setting it as ready on process start. It lists several endpoints for HTTP, TCP, and other protocols on various ports for input. It also contains SQL connection strings and registry settings for TCP/IP parameters including keep alive times and data retransmissions.

Azure provides cloud computing services including computing, analytics, networking, storage, and more. It offers virtual machines, databases, websites, and other services that can be accessed from anywhere and scaled up as needed. Azure aims to provide enterprise-grade services that are economical, scalable, and hybrid-ready to work with existing on-premises systems. It has data centers across the world and over 600,000 servers to provide its services globally at scale.

The document discusses hybrid cloud scenarios that combine public and private clouds. It defines private and public clouds and their differences. Private clouds provide more control while public clouds provide scale. Hybrid clouds blend both models. The document outlines several hybrid cloud deployment patterns and application patterns, including using public clouds for variable capacity and private clouds for predictable workloads. It emphasizes the need for cloud-optimized application design and integration across cloud services when building hybrid applications.

This document discusses building highly scalable Java applications on Windows Azure. It provides an overview of Windows Azure, including its infrastructure and services. It then covers how to deploy and run Java applications on Azure, including using various Java application servers like Tomcat, Jetty, and GlassFish. It also discusses some considerations for architecting applications to scale on Azure.

The document discusses building highly scalable Java applications on Windows Azure. It provides an overview of Windows Azure, including its compute and storage services. It then covers how to deploy and run Java applications on Azure, including using Tomcat, Jetty, GlassFish, and accessing SQL Azure and storage. It discusses current limitations and how the Eclipse tools will support Java development for Azure. Finally, it covers architectural approaches for scaling applications, comparing vertical to horizontal scaling.

Windows Azure AppFabric is a platform that provides middleware services for developing and managing cloud applications at scale. It includes services for messaging, caching, identity management, and integrating applications. It also allows building and managing composite applications composed of distributed application components hosted on Windows Azure. The AppFabric platform aims to simplify cloud development by providing these services and capabilities through a consistent programming model.

Deck delivered at Cloud Computing Expo 2010 Santa Clara - Java on Windows Azure; updated version from JavaOne presentation

Scale as a competitive advantage allows companies to leverage large amounts of data. As data volumes grow exponentially, companies are utilizing cloud computing and distributed architectures to process petabytes of information daily across thousands of servers. This enables new applications, insights, and business models driven by "big data."

This document provides an overview of architecting cloud applications for scale. It discusses key concepts like horizontal scaling, distributed computing, and common cloud architecture patterns. Specific examples are given of how large companies like Facebook, Twitter, and Flickr architect their systems using horizontal scaling, partitioning, caching, and other techniques to handle massive loads in a scalable way.

Presentation delivered at JavaOne 2010. Talks about how to use Java to build highly scalable and reliable applications on Windows Azure.