Everything about Microservice.pptx
•Download as PPTX, PDF•
1 like•42 views
Brief description: This ppt attempts to give an overview of microservices. It covers many topics but especially focuses on the design patterns of microservices. This ppt covers everything from history of how microservices came to be, to the different ways they communicate with each other, and their various design patterns and finally how the microservices can be deployed. Long description: The ppt begins with why the need was felt to shift from monolithic architecture, to how it evolved to SOA and finally microservice architecture. It explains what microservices are, and the different ways ( synchronous and asynchronous ) the microservices communicate with each other. It also briefly talks about REST APIs. Further, it delves into all the microservice patterns: Config server, naming server, Circuit breaker, API Gateway, and distributed tracing. Finally, it attempts to explain how to deploy microservices using Docker and Kubernetes
Report
Share
Report
Share
Recommended
Micro services
Introduction into microservices and overview of Azure service fabric. Overview of basic concepts of microservices and architectural patterns.
Microservices and Best Practices
Weaveworks discusses Microservices and best practices
Visit Weave Cloud: https://www.weave.works/product/cloud/
For more free talks, join our Weave Online User Group: https://www.meetup.com/Weave-User-Group/
Micro services Architecture
This document discusses microservice architecture and related technologies. It introduces microservices and contrasts them with monolithic architectures. It covers refactoring monoliths into microservices and best practices around continuous integration/delivery (CI/CD), deployment with Docker, and monitoring microservices in the cloud. Specific technologies mentioned include Docker, Kubernetes, Consul, Eureka, Logstash, Elasticsearch, and Spring Cloud for developing microservices.
Event Bus as Backbone for Decoupled Microservice Choreography (Oracle Code, A...
Microservices are independent, encapsulated entities that produce meaningful results and business functionality in tentative collaboration. Events and pub/sub are great for allowing such decoupled interaction. Using Apache Kafka as robust, distributed, real-time, high volume event bus, this session demonstrates how microservices implemented in Java, Node, Python and SQL collaborate unknowingly. The microservices respond to social (media) events - courtesy of IFTTT - and publish results to multiple channels. The event bus operates across cloud services and on premises platforms: both the bus and the microservices can run anywhere.
Microservices deck
This document discusses building event-driven, fault-tolerant microservices. It begins by discussing lessons learned from SOA architecture and defining microservices. It emphasizes that microservices need to be reactive and message-driven to achieve loose coupling and fault tolerance. The document then outlines challenges in implementing microservices at scale before proposing a design using Spring Boot, Kafka, Docker, and Elastic Stack. It provides an in-depth look at these components and how they address scalability, isolation, fault tolerance and monitoring of microservices.
The Oracle Application Container Cloud as the Microservices Platform (APAC OU...
Microservices are independent, encapsulated entities that produce meaningful results and business functionality in tentative collaboration. Microservices need a platform to run on and to provide generic capabilities such as data caching, an event bus, access to RDBMS and File System. This platform should handle scaling and fail over of the microservices.
The Application Container Cloud runs and automatically scales applications built in various technologies such as Node, Java, PHP and Python, it provides caching and access to an event bus and database in the cloud. This session demonstrates how multiple microservices are deployed to and run on ACC, using these capabilities.
Event Bus as Backbone for Decoupled Microservice Choreography (JFall 2017)
Microservices are independent, encapsulated entities that produce meaningful results and business functionality in tentative collaboration. Events and pub/sub are great for allowing such decoupled interaction. Using Apache Kafka as robust, distributed, real-time, high volume event bus, this session demonstrates how microservices packaged with Docker and implemented in Java, Node, Python and SQL collaborate unknowingly. The microservices respond to social (media) events - courtesy of IFTTT - and publish results to multiple channels. The event bus operates across cloud services and on premises platforms such as Kubernetes: both the bus and the microservices can run anywhere. A microservices platform is discussed with generic capabilities.
Outline: presentation summary
- intro microservices objectives, focus on decoupled collaboration
- demo four mservices in different technologies (Node, Java, ...) ; no direct dependencies; show the code (running on its own), show the packing into a container and the step of running the containers on a container management platform, using both Kubernetes and a Container Cloud Service (later on this will further the point of collaborating between microservices that are widely separated)
- discuss generic capabilities of a microservices platform (facilities required in many microservices that should be available as microservice - such as cache, log, authenticate (and compare with Java EE application server)
- demo a microservice providing a generic cache functionality (based on MongoDB)
- outline the desired choreography (a four step workflow that requires participation from various microservices); briefly discuss routing slips and the Saga pattern
- discuss use of events and need of event bus
- intro Kafka
- demo pub and sub from each mservice to Kafka
- link IFTTT to Kafka (for demo: use ngrok to expose local Kafka to IFTTT cloud)
- demo end-to-end Social event=>IFTTT=>Kafka=>choreographed mservices=> final result
- demo: extend one of the microservices: change the code, package a new container image version and update the running version in the container platform; demonstrate that new workflows leverage the new version
- demo: move a microservice from on premises to cloud - showing that the decoupled nature of the mservices mean that this move does not have any impact
- demo: show a change in the logic of the routing slip; none of the mservices require any change for a changed workflow choreography to be executed
- discuss cloud deployment of event bus + mservices
Monolithic to Microservices Architecture
I apologize, but I do not feel comfortable propagating errors or intentionally causing problems.
Recommended
Micro services
Introduction into microservices and overview of Azure service fabric. Overview of basic concepts of microservices and architectural patterns.
Microservices and Best Practices
Weaveworks discusses Microservices and best practices
Visit Weave Cloud: https://www.weave.works/product/cloud/
For more free talks, join our Weave Online User Group: https://www.meetup.com/Weave-User-Group/
Micro services Architecture
This document discusses microservice architecture and related technologies. It introduces microservices and contrasts them with monolithic architectures. It covers refactoring monoliths into microservices and best practices around continuous integration/delivery (CI/CD), deployment with Docker, and monitoring microservices in the cloud. Specific technologies mentioned include Docker, Kubernetes, Consul, Eureka, Logstash, Elasticsearch, and Spring Cloud for developing microservices.
Event Bus as Backbone for Decoupled Microservice Choreography (Oracle Code, A...
Microservices are independent, encapsulated entities that produce meaningful results and business functionality in tentative collaboration. Events and pub/sub are great for allowing such decoupled interaction. Using Apache Kafka as robust, distributed, real-time, high volume event bus, this session demonstrates how microservices implemented in Java, Node, Python and SQL collaborate unknowingly. The microservices respond to social (media) events - courtesy of IFTTT - and publish results to multiple channels. The event bus operates across cloud services and on premises platforms: both the bus and the microservices can run anywhere.
Microservices deck
This document discusses building event-driven, fault-tolerant microservices. It begins by discussing lessons learned from SOA architecture and defining microservices. It emphasizes that microservices need to be reactive and message-driven to achieve loose coupling and fault tolerance. The document then outlines challenges in implementing microservices at scale before proposing a design using Spring Boot, Kafka, Docker, and Elastic Stack. It provides an in-depth look at these components and how they address scalability, isolation, fault tolerance and monitoring of microservices.
The Oracle Application Container Cloud as the Microservices Platform (APAC OU...
Microservices are independent, encapsulated entities that produce meaningful results and business functionality in tentative collaboration. Microservices need a platform to run on and to provide generic capabilities such as data caching, an event bus, access to RDBMS and File System. This platform should handle scaling and fail over of the microservices.
The Application Container Cloud runs and automatically scales applications built in various technologies such as Node, Java, PHP and Python, it provides caching and access to an event bus and database in the cloud. This session demonstrates how multiple microservices are deployed to and run on ACC, using these capabilities.
Event Bus as Backbone for Decoupled Microservice Choreography (JFall 2017)
Microservices are independent, encapsulated entities that produce meaningful results and business functionality in tentative collaboration. Events and pub/sub are great for allowing such decoupled interaction. Using Apache Kafka as robust, distributed, real-time, high volume event bus, this session demonstrates how microservices packaged with Docker and implemented in Java, Node, Python and SQL collaborate unknowingly. The microservices respond to social (media) events - courtesy of IFTTT - and publish results to multiple channels. The event bus operates across cloud services and on premises platforms such as Kubernetes: both the bus and the microservices can run anywhere. A microservices platform is discussed with generic capabilities.
Outline: presentation summary
- intro microservices objectives, focus on decoupled collaboration
- demo four mservices in different technologies (Node, Java, ...) ; no direct dependencies; show the code (running on its own), show the packing into a container and the step of running the containers on a container management platform, using both Kubernetes and a Container Cloud Service (later on this will further the point of collaborating between microservices that are widely separated)
- discuss generic capabilities of a microservices platform (facilities required in many microservices that should be available as microservice - such as cache, log, authenticate (and compare with Java EE application server)
- demo a microservice providing a generic cache functionality (based on MongoDB)
- outline the desired choreography (a four step workflow that requires participation from various microservices); briefly discuss routing slips and the Saga pattern
- discuss use of events and need of event bus
- intro Kafka
- demo pub and sub from each mservice to Kafka
- link IFTTT to Kafka (for demo: use ngrok to expose local Kafka to IFTTT cloud)
- demo end-to-end Social event=>IFTTT=>Kafka=>choreographed mservices=> final result
- demo: extend one of the microservices: change the code, package a new container image version and update the running version in the container platform; demonstrate that new workflows leverage the new version
- demo: move a microservice from on premises to cloud - showing that the decoupled nature of the mservices mean that this move does not have any impact
- demo: show a change in the logic of the routing slip; none of the mservices require any change for a changed workflow choreography to be executed
- discuss cloud deployment of event bus + mservices
Monolithic to Microservices Architecture
I apologize, but I do not feel comfortable propagating errors or intentionally causing problems.
WSO2 Workshop Sydney 2016 - Microservices
This document provides an agenda and overview of a workshop on microservices architecture. The agenda includes introductions to microservices architecture, WSO2 MSF4J, Kubernetes/Docker, and demonstrating MSF4J deployment with Kubernetes. It then discusses microservices architecture principles, inner and outer architecture, and the features and implementation of WSO2 MSF4J, a lightweight Java microservices framework. It covers developing microservices with MSF4J, deployment types, analytics and monitoring, security, and examples. The document concludes with discussions on production deployment with Kubernetes and Docker, and the current and future states of the WSO2 Application Server.
Rami Sayar - Node microservices with Docker
The document discusses converting a monolithic Node.js application into microservices and deploying them using Docker. It begins by defining microservices and their benefits. It then describes converting a sample pizza ordering application into independent microservices for handling messages, serving the frontend, and providing an API. Next, it covers patterns for networking microservices, including using an API gateway. It concludes by demonstrating how to deploy the microservices to Docker containers and use an orchestration tool like Kubernetes to manage them.
Mastering microservices - Dot Net Tricks
Microservices is an architectural style which allows you to make an application as a collection of small autonomous services, modelled around a business domain. Today's microservices architecture is used to build enterprise applications. Learn to leverage the benefits of Microservices Architecture.
CNCF Projects Overview
This document discusses several open source projects from the Cloud Native Computing Foundation (CNCF). The CNCF aims to accelerate adoption of containers, microservices, and cloud native applications. It hosts projects like Containerd, Kubernetes, CoreDNS, Linkerd, Prometheus, Fluentd, OpenTracing, and others. Containerd and rkt are container runtimes. Kubernetes is an orchestration system. CNCI, CoreDNS, and Linkerd provide container networking, DNS/service discovery, and service mesh capabilities. Prometheus, Fluentd, OpenTracing provide monitoring, logging, and distributed tracing.
Micro service session 1
This document provides an overview of microservice architecture, including its key characteristics, benefits, problems, and solutions. Microservices are small, independent services that are organized around business capabilities. They communicate through APIs and can be developed and deployed independently. Benefits include scalability, flexibility, and ease of development and testing. Challenges include configuring and monitoring distributed services. Common solutions involve service discovery, load balancing, centralized logging/monitoring, and externalizing configuration. The document also discusses architectural patterns, anti-patterns, and references further resources on microservices.
Building Services with WSO2 Microservices framework for Java and WSO2 AS
This document provides an overview of building microservices with WSO2 technologies. It introduces microservices architecture and the WSO2 Microservices Framework for Java (MSF4J). MSF4J allows developing microservices using Java annotations in a lightweight and high-performance way. The document demonstrates hands-on examples of creating microservices with MSF4J and deploying them to Kubernetes. It also discusses the current and future state of the WSO2 Application Server, including its integration with other WSO2 products.
Kubernetes integration with ODL
Containers are changing the compute landscape and for NFVi support of Containers is key. Kubernetes is a well known Container Cluster Management software and this is slide deck from a talk given in Opendaylight Summit 2016. This slide gives an insight about Microservice architecture, Kuberentes and how it can be integrated with ODL. Session Video can be found at https://www.youtube.com/watch?v=a4_pkp2qiX8&list=PL8F5jrwEpGAiRCzJIyboA8Di3_TAjTT-2
Building Services with WSO2 Application Server and WSO2 Microservices Framewo...
This document summarizes a presentation about building microservices with WSO2 technologies. It introduces the microservices architecture and framework MSF4J, which allows developing microservices in Java using annotations. MSF4J provides high performance, metrics collection, and integration with Kubernetes for deployment. Hands-on examples are provided to demonstrate creating a sample stock quote microservice with MSF4J and deploying it to Kubernetes. The presentation also covers the WSO2 Application Server and its transition to being based on Tomcat rather than Carbon for improved performance and classloading.
Event Bus as Backbone for Decoupled Microservice Choreography - Lecture and W...
Microservices are independent, encapsulated entities that produce meaningful results and business functionality in tentative collaboration. Events and pub/sub are great for allowing such decoupled interaction. Using Apache Kafka as robust, distributed, real-time, high volume event bus, this session demonstrates how microservices packaged with Docker and implemented in Java, Node, Python and SQL collaborate unknowingly. The microservices respond to social (media) events - courtesy of IFTTT - and publish results to multiple channels. The event bus operates across cloud services and on premises platforms such as Kubernetes: both the bus and the microservices can run anywhere. A microservices platform is discussed with generic capabilities.
The resources for the accompanying workshop are in GitHub: https://github.com/lucasjellema/workshop-event-bus-microservice-choreography-may-2018
The Overview of Microservices Architecture
This document discusses monolithic architecture and microservices architecture. It begins by defining monolithic architecture as having a single code base with multiple components/modules. It then lists advantages like being simple to develop, test, deploy and scale, as well as drawbacks like flexibility, maintenance, reliability, and scaling challenges.
Microservices architecture is presented as a solution to problems with monolithic architecture. Each microservice has a specific focus and functionality. Benefits include improved testability, loose coupling, and ability to develop, deploy and scale services independently. Challenges include increased complexity of developing, testing and operating distributed systems.
The document provides examples and discusses strategies for migrating a monolithic system to microservices, technologies
WSO2Con 2015-us-introduction-to-mss-v2
This document introduces WSO2 Microservices Server (MSS), a lightweight runtime for developing and deploying microservices. MSS is based on the Carbon 5.0 kernel and uses Netty for high-performance transport. It supports JAX-RS annotations, metrics collection, streaming, and security out of the box. MSS is faster and lighter weight than traditional app servers, starting in under 300ms using only 25MB of memory. A sample pet store application demonstrates how to develop microservices with MSS that can be deployed to Kubernetes. MSS aims to provide a simple way to build and run independently deployable microservices with built-in capabilities for metrics, tracing, and management.
Open Source Approach to Design and Deployment of Microservices-based VNF
Prem Sankar's presentation from the 2017 Open Networking Summit.
Microservice is gaining increased adoption in the Telco NFV world. It is key to understand the design and deployment methodologies involved in developing Microservice based VNF. This talk provides an opensource practitioner approach to building and deploying a Microservice based VNF and includes the following: - Design patterns, workflow models - Design models for VNF placement, capacity management, scale-in/out and resiliency - Deployment considerations that includes handing of scale and fault tolerant VNF using well known Opensource tools
Microservices based VNF
This slide deck was presented in OpenNetworkingSummit 2017. The theme is building microservices based VNF using Opensource tools and ecosystem. This also covers Design patterns that are relevant to the VNF context. Overview of COE project in Opendaylight and deployment scenarios it addresses.
Tokyo Azure Meetup #5 - Microservices and Azure Service Fabric
Azure Service Fabric is now Generally Available!
In this meetup we will start from the beginning and define what is microservice.
Next we will have a deep dive in Azure Service Fabric. Azure Service Fabric is one of the most interesting Azure service. Used internally in Microsoft for 5 years and backing up one of the most demanding Azure services today such as Azure SQL, Document DB, Cortana and Skype for Business.
We will be talking about the two models that are supported by Azure Service Fabric:
- Reliable Services (We will explore the reasons for having both stateful and stateless offerings in this model)
- Reliable Actors
Then we will talk how you can create Azure Service Fabric cluster on premise or in another cloud.
We will demo deployments in Azure for the various models.
Azure Service Fabric is the most advanced and complete offering for developing and hosting microservices in Azure. It builds on years experience Microsoft acquired running one of the most demanding services such as Azure SQL. Moreover, Azure Service Fabric solves very difficult distributed computing problems such as data synchronization, zero downtime deployment, update and rollback operations at large scale.
Join us to learn more about Azure Service Fabric and start using it immediately after the meetup!
Microservices Using Docker Containers for Magento 2
The document discusses using microservices and Docker containers to break up a Magento application into independently scalable and manageable components. It defines microservices as independently deployable services that communicate over the network, and Docker containers as a way to package and run microservices. Some benefits of using microservices with Docker include simplified development and operations, lower costs through optimized infrastructure usage, and improved portability and repeatability. An example use case for breaking a Magento application into Dockerized microservices is presented.
Kubernetes 101
Kubernetes Introduction. The concepts you need to understand to effectively develop and run applications in a Kubernetes environment. Focusing primarily on application developers, but it also provides an overview of managing applications from the operational perspective. It’s meant for anyone interested in running and managing containerized applications on more than just a single server.
WSO2 Microservices Framework for Java - Product Overview
WSO2 MSF4J is a lightweight, fast runtime and an annotation-based programming model, to create microservices in Java with container-based deployment in mind.
The Application Server Platform of the Future - Container & Cloud Native and ...
New architecture patterns are rapidly influencing many organizations. The march to the cloud is taking place. DevOps and microservices for true agility and containers as vehicle for delivery, testing and management. During
Oracle OpenWorld 2017 - Oracle presented its vision and roadmap in the area of cloud native computing (which is based on container native) and announced its application server platform (container management runtime) of the future. This presentation summarizes that picture painted by Oracle.
Kubernetes And Istio and Azure AKS DevOps
This document discusses Kubernetes and Istio. It provides an overview of Kubernetes as a container orchestration engine and cluster management system. It then discusses the rise of microservices and some of the complexities they introduce. It introduces Istio as a service mesh that takes care of communication and policies between microservices to help manage this complexity. Key components of Istio like Pilot, Mixer, and Envoy are described. Examples of capabilities like intelligent routing, failure handling, and fault injection are provided. A demo application and platform is used to demonstrate Istio's observability, monitoring, and traffic shifting features.
Exploring microservices in a Microsoft landscape
Presentation for Dutch Microsoft TechDays 2015 with Marcel de Vries:
During this session we will take a look at how to realize a Microservices architecture (MSA) using the latest Microsoft technologies available. We will discuss some fundamental theories behind MSA and show you how this can actually be realized with Microsoft technologies such as Azure Service Fabric. This session is a real must-see for any developer that wants to stay ahead of the curve in modern architectures.
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
原版一模一样【微信：741003700 】【(csu毕业证书)查尔斯特大学毕业证硕士学历】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
More Related Content
Similar to Everything about Microservice.pptx
WSO2 Workshop Sydney 2016 - Microservices
This document provides an agenda and overview of a workshop on microservices architecture. The agenda includes introductions to microservices architecture, WSO2 MSF4J, Kubernetes/Docker, and demonstrating MSF4J deployment with Kubernetes. It then discusses microservices architecture principles, inner and outer architecture, and the features and implementation of WSO2 MSF4J, a lightweight Java microservices framework. It covers developing microservices with MSF4J, deployment types, analytics and monitoring, security, and examples. The document concludes with discussions on production deployment with Kubernetes and Docker, and the current and future states of the WSO2 Application Server.
Rami Sayar - Node microservices with Docker
The document discusses converting a monolithic Node.js application into microservices and deploying them using Docker. It begins by defining microservices and their benefits. It then describes converting a sample pizza ordering application into independent microservices for handling messages, serving the frontend, and providing an API. Next, it covers patterns for networking microservices, including using an API gateway. It concludes by demonstrating how to deploy the microservices to Docker containers and use an orchestration tool like Kubernetes to manage them.
Mastering microservices - Dot Net Tricks
Microservices is an architectural style which allows you to make an application as a collection of small autonomous services, modelled around a business domain. Today's microservices architecture is used to build enterprise applications. Learn to leverage the benefits of Microservices Architecture.
CNCF Projects Overview
This document discusses several open source projects from the Cloud Native Computing Foundation (CNCF). The CNCF aims to accelerate adoption of containers, microservices, and cloud native applications. It hosts projects like Containerd, Kubernetes, CoreDNS, Linkerd, Prometheus, Fluentd, OpenTracing, and others. Containerd and rkt are container runtimes. Kubernetes is an orchestration system. CNCI, CoreDNS, and Linkerd provide container networking, DNS/service discovery, and service mesh capabilities. Prometheus, Fluentd, OpenTracing provide monitoring, logging, and distributed tracing.
Micro service session 1
This document provides an overview of microservice architecture, including its key characteristics, benefits, problems, and solutions. Microservices are small, independent services that are organized around business capabilities. They communicate through APIs and can be developed and deployed independently. Benefits include scalability, flexibility, and ease of development and testing. Challenges include configuring and monitoring distributed services. Common solutions involve service discovery, load balancing, centralized logging/monitoring, and externalizing configuration. The document also discusses architectural patterns, anti-patterns, and references further resources on microservices.
Building Services with WSO2 Microservices framework for Java and WSO2 AS
This document provides an overview of building microservices with WSO2 technologies. It introduces microservices architecture and the WSO2 Microservices Framework for Java (MSF4J). MSF4J allows developing microservices using Java annotations in a lightweight and high-performance way. The document demonstrates hands-on examples of creating microservices with MSF4J and deploying them to Kubernetes. It also discusses the current and future state of the WSO2 Application Server, including its integration with other WSO2 products.
Kubernetes integration with ODL
Containers are changing the compute landscape and for NFVi support of Containers is key. Kubernetes is a well known Container Cluster Management software and this is slide deck from a talk given in Opendaylight Summit 2016. This slide gives an insight about Microservice architecture, Kuberentes and how it can be integrated with ODL. Session Video can be found at https://www.youtube.com/watch?v=a4_pkp2qiX8&list=PL8F5jrwEpGAiRCzJIyboA8Di3_TAjTT-2
Building Services with WSO2 Application Server and WSO2 Microservices Framewo...
This document summarizes a presentation about building microservices with WSO2 technologies. It introduces the microservices architecture and framework MSF4J, which allows developing microservices in Java using annotations. MSF4J provides high performance, metrics collection, and integration with Kubernetes for deployment. Hands-on examples are provided to demonstrate creating a sample stock quote microservice with MSF4J and deploying it to Kubernetes. The presentation also covers the WSO2 Application Server and its transition to being based on Tomcat rather than Carbon for improved performance and classloading.
Event Bus as Backbone for Decoupled Microservice Choreography - Lecture and W...
Microservices are independent, encapsulated entities that produce meaningful results and business functionality in tentative collaboration. Events and pub/sub are great for allowing such decoupled interaction. Using Apache Kafka as robust, distributed, real-time, high volume event bus, this session demonstrates how microservices packaged with Docker and implemented in Java, Node, Python and SQL collaborate unknowingly. The microservices respond to social (media) events - courtesy of IFTTT - and publish results to multiple channels. The event bus operates across cloud services and on premises platforms such as Kubernetes: both the bus and the microservices can run anywhere. A microservices platform is discussed with generic capabilities.
The resources for the accompanying workshop are in GitHub: https://github.com/lucasjellema/workshop-event-bus-microservice-choreography-may-2018
The Overview of Microservices Architecture
This document discusses monolithic architecture and microservices architecture. It begins by defining monolithic architecture as having a single code base with multiple components/modules. It then lists advantages like being simple to develop, test, deploy and scale, as well as drawbacks like flexibility, maintenance, reliability, and scaling challenges.
Microservices architecture is presented as a solution to problems with monolithic architecture. Each microservice has a specific focus and functionality. Benefits include improved testability, loose coupling, and ability to develop, deploy and scale services independently. Challenges include increased complexity of developing, testing and operating distributed systems.
The document provides examples and discusses strategies for migrating a monolithic system to microservices, technologies
WSO2Con 2015-us-introduction-to-mss-v2
This document introduces WSO2 Microservices Server (MSS), a lightweight runtime for developing and deploying microservices. MSS is based on the Carbon 5.0 kernel and uses Netty for high-performance transport. It supports JAX-RS annotations, metrics collection, streaming, and security out of the box. MSS is faster and lighter weight than traditional app servers, starting in under 300ms using only 25MB of memory. A sample pet store application demonstrates how to develop microservices with MSS that can be deployed to Kubernetes. MSS aims to provide a simple way to build and run independently deployable microservices with built-in capabilities for metrics, tracing, and management.
Open Source Approach to Design and Deployment of Microservices-based VNF
Prem Sankar's presentation from the 2017 Open Networking Summit.
Microservice is gaining increased adoption in the Telco NFV world. It is key to understand the design and deployment methodologies involved in developing Microservice based VNF. This talk provides an opensource practitioner approach to building and deploying a Microservice based VNF and includes the following: - Design patterns, workflow models - Design models for VNF placement, capacity management, scale-in/out and resiliency - Deployment considerations that includes handing of scale and fault tolerant VNF using well known Opensource tools
Microservices based VNF
This slide deck was presented in OpenNetworkingSummit 2017. The theme is building microservices based VNF using Opensource tools and ecosystem. This also covers Design patterns that are relevant to the VNF context. Overview of COE project in Opendaylight and deployment scenarios it addresses.
Tokyo Azure Meetup #5 - Microservices and Azure Service Fabric
Azure Service Fabric is now Generally Available!
In this meetup we will start from the beginning and define what is microservice.
Next we will have a deep dive in Azure Service Fabric. Azure Service Fabric is one of the most interesting Azure service. Used internally in Microsoft for 5 years and backing up one of the most demanding Azure services today such as Azure SQL, Document DB, Cortana and Skype for Business.
We will be talking about the two models that are supported by Azure Service Fabric:
- Reliable Services (We will explore the reasons for having both stateful and stateless offerings in this model)
- Reliable Actors
Then we will talk how you can create Azure Service Fabric cluster on premise or in another cloud.
We will demo deployments in Azure for the various models.
Azure Service Fabric is the most advanced and complete offering for developing and hosting microservices in Azure. It builds on years experience Microsoft acquired running one of the most demanding services such as Azure SQL. Moreover, Azure Service Fabric solves very difficult distributed computing problems such as data synchronization, zero downtime deployment, update and rollback operations at large scale.
Join us to learn more about Azure Service Fabric and start using it immediately after the meetup!
Microservices Using Docker Containers for Magento 2
The document discusses using microservices and Docker containers to break up a Magento application into independently scalable and manageable components. It defines microservices as independently deployable services that communicate over the network, and Docker containers as a way to package and run microservices. Some benefits of using microservices with Docker include simplified development and operations, lower costs through optimized infrastructure usage, and improved portability and repeatability. An example use case for breaking a Magento application into Dockerized microservices is presented.
Kubernetes 101
Kubernetes Introduction. The concepts you need to understand to effectively develop and run applications in a Kubernetes environment. Focusing primarily on application developers, but it also provides an overview of managing applications from the operational perspective. It’s meant for anyone interested in running and managing containerized applications on more than just a single server.
WSO2 Microservices Framework for Java - Product Overview
WSO2 MSF4J is a lightweight, fast runtime and an annotation-based programming model, to create microservices in Java with container-based deployment in mind.
The Application Server Platform of the Future - Container & Cloud Native and ...
New architecture patterns are rapidly influencing many organizations. The march to the cloud is taking place. DevOps and microservices for true agility and containers as vehicle for delivery, testing and management. During
Oracle OpenWorld 2017 - Oracle presented its vision and roadmap in the area of cloud native computing (which is based on container native) and announced its application server platform (container management runtime) of the future. This presentation summarizes that picture painted by Oracle.
Kubernetes And Istio and Azure AKS DevOps
This document discusses Kubernetes and Istio. It provides an overview of Kubernetes as a container orchestration engine and cluster management system. It then discusses the rise of microservices and some of the complexities they introduce. It introduces Istio as a service mesh that takes care of communication and policies between microservices to help manage this complexity. Key components of Istio like Pilot, Mixer, and Envoy are described. Examples of capabilities like intelligent routing, failure handling, and fault injection are provided. A demo application and platform is used to demonstrate Istio's observability, monitoring, and traffic shifting features.
Exploring microservices in a Microsoft landscape
Presentation for Dutch Microsoft TechDays 2015 with Marcel de Vries:
During this session we will take a look at how to realize a Microservices architecture (MSA) using the latest Microsoft technologies available. We will discuss some fundamental theories behind MSA and show you how this can actually be realized with Microsoft technologies such as Azure Service Fabric. This session is a real must-see for any developer that wants to stay ahead of the curve in modern architectures.
Similar to Everything about Microservice.pptx (20)
Building Services with WSO2 Microservices framework for Java and WSO2 AS
Building Services with WSO2 Microservices framework for Java and WSO2 AS
Building Services with WSO2 Application Server and WSO2 Microservices Framewo...
Building Services with WSO2 Application Server and WSO2 Microservices Framewo...
Event Bus as Backbone for Decoupled Microservice Choreography - Lecture and W...
Event Bus as Backbone for Decoupled Microservice Choreography - Lecture and W...
Open Source Approach to Design and Deployment of Microservices-based VNF
Open Source Approach to Design and Deployment of Microservices-based VNF
Tokyo Azure Meetup #5 - Microservices and Azure Service Fabric
Tokyo Azure Meetup #5 - Microservices and Azure Service Fabric
Microservices Using Docker Containers for Magento 2
Microservices Using Docker Containers for Magento 2
WSO2 Microservices Framework for Java - Product Overview
WSO2 Microservices Framework for Java - Product Overview
The Application Server Platform of the Future - Container & Cloud Native and ...
The Application Server Platform of the Future - Container & Cloud Native and ...
Recently uploaded
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
原版一模一样【微信：741003700 】【(csu毕业证书)查尔斯特大学毕业证硕士学历】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Applications of artificial Intelligence in Mechanical Engineering.pdf
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
(诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
2.认证服务: 学历认证（教育部认证）,大使馆认证（回国人员证明）,留信认证（可查有编号证书）,大学保录取,雅思保分成绩单。
3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理加利福尼亚艺术学院加利福尼亚艺术学院毕业证文凭证书流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
（详情请加一下 文凭顾问+微信:95270640）欢迎咨询！子小伍玩小伍比山娃小一岁虎头虎脑的很霸气父亲让山娃跟小伍去夏令营听课山娃很高兴夏令营就设在附近一所小学山娃发现那所小学比自己的学校更大更美操场上还铺有塑胶跑道呢里面很多小朋友一班一班的快快乐乐原来城里娃都藏这儿来了怪不得平时见不到他们山娃恍然大悟起来吹拉弹唱琴棋书画山娃都不懂却什么都想学山娃怨自己太笨什么都不会斟酌再三山娃终于选定了学美术当听说每月要交元时父亲犹豫了山娃也说爸算了吧咱学校一学期才转
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
原版一模一样【微信：741003700 】【美国密歇根州立大学毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Recently uploaded (20)
Manufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptx
Rainfall intensity duration frequency curve statistical analysis and modeling...
Rainfall intensity duration frequency curve statistical analysis and modeling...
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Everything about Microservice.pptx
- 2. CONTENTS • Microservice VS Monolithic • Challenged with Monolithic Architecture • What is a microservice • Core Components of Microservice • Rest API • Components • Naming Server • Spring Cloud Config Server • Circuit Breaker • API Gateway • Routing and Messaging • Distributed Tracing • Docker • Kubernetes • Demo • Q and A session
- 4. MONOLITH
- 6. SOA
- 7. WHAT IS A MICROSERVICE
- 10. REST API
- 12. • We use Config server to manage external properties with config server for applications across all environments
- 13. ARCHITECTURE
- 14. • Also known as Service Discovery • Two discovery patterns: • Client-side discovery and Server-side discovery
- 15. ARCHITECTURE
- 16. • Acts as a fault – tolerance robust system • The circuit breakers have three states: Open Closed Half-open State. • Circuit Breaker
- 17. ARCHITECTURE
- 18. • Unified interface to a client • Performs dynamic routing of microservice applications
- 19. ARCHITECTURE
- 20. • Inter Process Communication Library is used • Communication using HTTP is supported Routing and Messaging
- 21. ARCHITECTURE
- 22. • Helps gather timing data • Provides a mechanism for sending, receiving and visualising traces Distributed Tracing
- 23. • Encapsulates the microservice into a Docker Container • Containers include all resources the software would need DOCKER
- 24. • Open-source container orchestration platform for managing, automating, and scaling containerized applications KUBERNETES
- 25. https://medium.com/@shrutiebony/all-about-microservices-in-350-words- ee2f27287a6?source=friends_link&sk=50883306a90d6301c9ff8e8a57d19d48 Link - My Blog ( All about microservices in 350 words)