Api service mesh and microservice tooling

This presentation is conducted on 14th Sept in Limerick DotNet User Group. (https://www.meetup.com/preview/Limerick-DotNet/events/xskpdnywmbsb) SlideShare Url: https://www.slideshare.net/lalitkale/introduction-to-microservices-80583928 In this presentation, new architectural style - Microservices and it's emergence is discussed. We will also briefly touch base on what are not microservices, Conway's law and organization design, Principles of microservices and service discovery mechanism and why it is necessary for microservices implementation. About Speaker: Lalit is a senior developer, software architect and consultant with more than 12 yrsof .NET experience. He loves to work with C# .NET and Azure platform services like App Services, Virtual Machines, Cortana, and Container Services. He is also the author of 'Building Microservices with .NET Core' (https://www.packtpub.com/web-development/building-microservices-net-core) book. To know more and connect with Lalit, you can visit his LinkedIn profile below. https://www.linkedin.com/in/lalitkale/ This presentation will be useful for software architects/Managers, senior developers. Do share your feedback in comments.

西脇 雄基（LINE)/Rancher 2.0 Technical Deep Dive 2018/7/28 LINE Developer Meetup in Tokyo #40 -Kubernetes- https://line.connpass.com/event/92049/

Kubernetes Korea User Group에서 주최한 Meetup 발표자료 입니다. (2019. 03. 07)

A proper Microservice is designed for fast failure. Like other architectural style, microservices bring costs and benefits. Some development teams have found microservices architectural style to be a superior approach to a monolithic architecture. Other teams have found them to be a productivity-sapping burden. This material start with the basic what and why microservice, follow with the Felix example and the the successful strategies to develop microservice application.

Service meshes are relatively new, extremely powerful and can be complex. There’s a lot of information out there on what a service mesh is and what it can do, but it’s a lot to sort through. Sometimes, it’s helpful to have a guide. If you’ve been asking questions like “What is a service mesh?” “Why would I use one?” “What benefits can it provide?” or “How did people even come up with the idea for service mesh?” then The Complete Guide to Service Mesh is for you.

This presentation outlines the benefits of implementing a Microservice over a monolithic architecture.

This document summarizes an upcoming presentation on architecting microservices on AWS. The presentation will: - Review microservices architecture and how it differs from monolithic and service-oriented architectures. - Cover key microservices design principles like independent deployment of services that communicate via APIs and using the right tools for each job. - Provide example design patterns for implementing microservices on AWS using services like EC2, ECS, Lambda, API Gateway and more. - Include a demo of microservices on AWS. - Conclude with a question and answer session.

This document discusses service meshes and provides examples of popular service meshes like Linkerd and Istio. It defines a service mesh as a dedicated infrastructure layer that handles service-to-service communication and provides traffic management, observability, and policy enforcement. Benefits of a service mesh include discovery, load balancing, failure recovery, metrics, monitoring, and access control. Popular service meshes like Linkerd and Istio are then described in more detail.

This document provides an agenda and instructions for a hands-on introduction to Kubernetes tutorial. The tutorial will cover Kubernetes basics like pods, services, deployments and replica sets. It includes steps for setting up a local Kubernetes environment using Minikube and demonstrates features like rolling updates, rollbacks and self-healing. Attendees will learn how to develop container-based applications locally with Kubernetes and deploy changes to preview them before promoting to production.

Presenting how it is possible to build a great microservice architecture using the service mesh ISTIO

Kubernetes has two simple but powerful network concepts: every Pod is connected to the same network, and Services let you talk to a Pod by name. Bryan will take you through how these concepts are implemented - Pod Networks via the Container Network Interface (CNI), Service Discovery via kube-dns and Service virtual IPs, then on to how Services are exposed to the rest of the world.

Soft Introduction to Google's framework for taming containers in the cloud. For devs and architects that they just enter the world of cloud, microservices and containers

This document provides an overview of Kubernetes including: 1) Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides container-centric infrastructure and allows for quickly deploying and scaling applications. 2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager. 3) The document demonstrates getting started with Kubernetes by enabling the master on one node and a worker on another node, then deploying and exposing a sample nginx application across the cluster.

Should you choose a microservices architecture over a monolith? What are the pros and cons in reality.

This document provides an introduction to microservices, including: - Microservices are small, independently deployable services that work together and are modeled around business domains. - They allow for independent scaling, technology diversity, and enable resiliency through failure design. - Implementing microservices requires automation, high cohesion, loose coupling, and stable APIs. Identifying service boundaries and designing for orchestration and data management are also important aspects of microservices design. - Microservices are not an end goal but a means to solve problems of scale; they must be adopted judiciously based on an organization's needs.

This document provides an overview of Azure Kubernetes Service (AKS). It begins with introductions to containers and Kubernetes, then describes AKS's architecture and features. AKS allows users to quickly deploy and manage Kubernetes clusters on Azure without having to manage the master nodes. It reduces the operational complexity of running Kubernetes in production. The document outlines how to interact with AKS using the Azure portal, CLI, and ARM templates. It also lists AKS features like identity and access control, scaling, storage integration, and monitoring.

Understand the Microservices Architecture concepts Understand Event Sourcing and CQRS Understanding Domain Driven Design Understanding Functional Reactive Programming Understanding Distributed Transaction Management Understanding Microservices Messaging Setting up Micro services Infrastructure (API Gateway, Service Discovery, Load Balancer, Circuit Breaker) https://github.com/meta-magic/microservice_workshop

This presentation gave an introduction to Istio and service mesh, as well as a description of how service mesh fits in with API Management.

Developing and managing hundreds (or maybe thousands) of microservices at scale is a challenge for both development and operations teams. We have seen over the last years the appearance of new frameworks dedicated to deliver ‘Cloud Native’ applications by providing a set of (out of box) building blocks. Most of these frameworks integrate microservices concerns at the code level. Recently, we have seen the emerging of a new pattern known as sidecar or proxy promoting to push all these common concerns outside of the business code and provides them on the edge by integrate a new layer to the underlying platform called Service Mesh. Istio is one of the leading Service Mesh implementing sidecar pattern. We will go during the presentation throw the core concepts behind Istio, the capabilities that provides to manage, secure and observe microservices and how it gives a new breath for both developers and operations. The presentation will be guided by a sequence of demo exposing Istio capabilities.

Talk from O'Reilly Software Architecture Conference San Jose 2019 Microservices and containers have taken the software industry by storm. Transitioning from a monolith to microservices enables you to deploy your application more frequently, independently, and reliably. However, microservice architecture has its own challenges, and it has to deal with the same problems encountered while designing distributed systems. Enter service mesh technology to the rescue. A service mesh reduces the complexity associated with microservices and provides functionality like load balancing, service discovery, traffic management, circuit breaking, telemetry, fault injection, and more. Istio is one of the best implementations of a service mesh at this point, while Kubernetes provides a platform for running microservices and automating deployment of containerized applications. Join Samir Behara to go beyond the buzz and understand microservices and service mesh technologies.

This presentation was made by Mangesh Patankar (Developer Advocate - IBM Cloud) as part of Container Conference 2018: www.containerconf.in. "How do we make microservices resilient and fault-tolerant? How do we enforce policy decisions, such as fine-grained access control and rate limits? How do we enable timeouts/retries, health checks, etc.? A service-mesh architecture attempts to resolve these issues by extracting the common resiliency features needed by a microservices framework away from the applications and frameworks and into the platform itself. Istio provides an easy way to create this service mesh."

1. ONAP was evolving from a "SOA-like" architecture to a "pure microservices" architecture. MSB provided transparent service registration and communication for ONAP microservices. 2. Istio is an open source service mesh that provides reliability, security, observability and manageability for microservices. It introduces a centralized control plane to manage distributed sidecars. 3. Integrating Istio with ONAP would provide benefits like distributed tracing, metrics visibility and service graph for ONAP microservices. It is important to address challenges in supporting multiple network interfaces and coarse-grained services.

Cloud native API Management for Microservices on a Service Mesh using Istio Stefano Negri, Director - Solution Architecture at WSO2

Stefano discusses how to augment service mesh functionality with API management capabilities, so you can create an end-to-end solution for your entire business functionality — from microservices, to APIs, to end-user applications.

It's been two years since we introduced the Istio project to the Triangle Kubernetes Meetup group. This presentation will be a brief re-introduction of the Istio project, and a summary of the updates to the Istio project since its 1.0 release.

Istio is a service mesh platform that provides service discovery, load balancing, failure recovery, metrics and monitoring for microservices. It consists of Envoy proxies that intercept and manage network communication between services, Pilot which configures the proxies, and Mixer which handles policy enforcement. When a request is made, it is intercepted by Envoy proxies, routed to the appropriate service, and telemetry from the transaction is collected and reported by the proxies and Mixer. Istio provides control and visibility across microservices running on Kubernetes.

Provide a high level introduction to Istio Service Mesh. Discuss the problems it addresses, it's architecture and it's use cases

This document provides an overview of service mesh and the Istio observability tool Kiali. It begins with an introduction to service mesh and what problems it addresses in microservices architectures. Istio is presented as an open source service mesh that provides traffic management, observability, and policy enforcement for microservices. Kiali is specifically discussed as a tool for visualizing the topology and traffic flow of services in an Istio mesh. The rest of the document provides an agenda and then a live demo of Kiali's features using the Bookinfo sample application on Istio.

One of the most complex challenges in realizing microservice architecture is not building the services themselves, but building and governing the communication between services. Most microservices developers have to take care of complex inter-service communication logic as part of their service development. Service Mesh has emerged as a solution to overcome the challenges that we have in microservices communication. Since most of the inter-service communication requirements are quite generic across all microservices implementations, we can think about offloading all such tasks to a different layer, so that we can keep the service code independent. This presentation will discuss the following: 1) Why we need a Service Mesh? 2) Fundamentals of Service Mesh 3) Introduction to Istio 4) What's new in Istio 1.0. 5) Seamless integration of Ballerina and Istio

This document discusses moving a microservices architecture to the next level with service meshes. It introduces Istio as a service mesh for Kubernetes that provides traffic management, observability, and security capabilities. Istio uses the sidecar proxy pattern to enable features like mutual TLS, timeouts, retries, and circuit breakers to help solve challenges of microservices distribution like service discovery, load balancing, and failure handling. The document demonstrates Istio's capabilities and recommends adopting its features incrementally to gain experience before fully implementing a service mesh.

Microservices design principles establish some standard practices for planning, developing, and implementing a distributed architecture for your application. Read about some of the most common characteristics of design principles, its examples, and implementations carried out by various companies worldwide.

With microservices and containers becoming mainstream, container orchestrators provide much of what the cluster (nodes and containers) needs. With container orchestrators' core focus on scheduling, discovery, and health at an infrastructure level, microservices are left with unmet, service-level needs, such as: - Traffic management, routing, and resilient and secure communication between services - Policy enforcement, rate-limiting, circuit breaking - Visibility and monitoring with metrics, logs, and traces - Load balancing and rollout/canary deployment support Service meshes provide for these needs. In this session, we will dive into Istio - its components, capabilities, and extensibility. Istio envelops and integrates with other open source projects to deliver a full-service mesh. We'll explore these integrations and Istio's extensibility in terms of choice of proxies and adapters, such as nginMesh.

In a world of disaggregated API-based architectures, developers are increasingly adopting microservices — and Service Mesh is being used to control many service-to-service communications. But Service Mesh is not addressing the concern of how the exploding number of APIs can be exposed in a controlled and secure manner to their API consumers. In this meetup, we will discuss how to augment service mesh functionality with API management capabilities, so you can create an end-to-end solution for your entire business functionality — from microservices to APIs, to end-user applications.

Support your modern distributed microservices applications using VMware Tanzu Service Mesh If your organization uses a microservices Kubernetes architecture, a service mesh is a valuable tool for coordinating communication and security among services. In our testing, we deployed a microservices application, distributed over two Kubernetes clusters with secure inter-cluster communications for the services. We found that using VMware TSM to carry out this task reduced the amount of time necessary by 74 percent compared to using only Istio. In performance testing of the TSM environment, the TCP bypass optimization reduced request duration by as much as 11.4 percent and the Intel multi-buffer cryptography optimization for Intel 3rd Generation Xeon Scalable processors reduced request duration by up to 47.1 percent while nearly doubling performance.

Microservices Interview Questions and Answers pdf by ScholarHat

This slide deck explains why we need microservices and how we can develop microservices using opensource microservice frameworks.

Do microservices force us to look differently at the way we lay down and evolve our integration architecture, or are they purely about how we build applications? Are microservices a new concept, or an evolution of the many ideas that came before them? What is the relationship between microservices and other key initiatives such as APIs, SOA, and Agile. In this session, we will unpick what microservices really are, and indeed what they are not. We will consider whether there is something unique about this particular point time in technology that has enables microservice concepts to take hold. Finally, we will look at if, when, where and how an enterprise can take on the benefits of microservices, and what products and technologies are applicable for that journey.

The document provides an overview of the Kubernetes Gateway API, which enables robust traffic management in Kubernetes clusters. It describes key concepts like GatewayClasses, Gateways, and Routes that make up the Gateway API model. The API allows infrastructure providers to implement ingress controllers, cluster operators to manage traffic, and application developers to define routing rules in a standardized way. It aims to improve on the Ingress resource and support multiple protocols like HTTP, TLS, and TCP in an integrated manner. There are now over a dozen implementations of the Gateway API by popular API gateways and service meshes.

This document provides an overview of how to build a full stack API with DevOps integration using Quarkus in under an hour. It discusses APIs in microservice architectures, Quarkus advantages over other frameworks, and includes demos on building the first Quarkus API, adding fault tolerance, observability, logging, persistence, and security. The agenda covers asynchronous and synchronous communication patterns, MicroProfile basics, Quarkus benefits like performance and container support, JAX-RS annotations, and using various Quarkus extensions for fault tolerance, OpenTelemetry, logging, databases, Hibernate ORM with Panache, and OAuth security.

short analysis of the current market trends in the api management market and a review and demo of one of the latest open source api gateway projects

describing and comparing different protocols when it come to deploying apis on edge computing devices. 5 different categories are analyzed and 7 protocols are examined

This document provides an overview of authorization models and how Open Policy Agent (OPA) can be used for authorization in microservices. It defines common authorization models like ACL, DAC, MAC, RBAC, and ABAC and provides examples of how they work. It then discusses how OPA uses a declarative policy language called Rego to specify authorization policies and can offload policy decision making through REST APIs. The document demonstrates integrating OPA by evaluating policies and managing policies. It shows a demo of OPA enforcing a simple salary access policy.

- GraphQL performance monitoring can be challenging as queries can vary significantly even when requesting the same data. Traditional endpoint monitoring provides little insight. - Distributed tracing using OpenTracing allows tracing queries to monitor performance at the resolver level. Tools like Jaeger and plugins for Apollo Server and other GraphQL servers can integrate tracing. - A demo showed using the Apollo OpenTracing plugin to trace a query through an Apollo server and resolver to an external API. The trace data was sent to Jaeger for analysis to help debug performance issues.

This document outlines a presentation on digital identity and self-sovereign identity (SSI) in the post-Covid world. The presentation discusses how the pandemic has increased digital payments and online activity. It then covers current challenges around digital identity theft, consent management under PSD2 and GDPR. The bulk of the presentation introduces SSI as a portable, lifetime digital identity model not dependent on centralized authorities. It explains the underlying decentralized identifiers (DIDs) and verifiable credentials of SSI. Practical uses of SSI are demonstrated for applying for jobs and loans. Potential benefits are seen for identity verification, preventing phishing, and improving user onboarding processes.

The document discusses how asynchronous APIs can survive in a REST-based world. It describes how Async APIs use an event-driven approach compared to the request-reply model of REST. The AsyncAPI specification aims to describe event-driven APIs similarly to how OpenAPI describes REST APIs. The document demonstrates how Async and REST APIs can work together using an example setup with an API gateway, manager, and message broker to connect an HTML page and Node.js client via published topics.

The new stack everybody is talking about: grpc, protobuffer and golang. How does this compare to REST and what is this about?

The presentation introduces the Web of Things (WoT) model for connecting IoT devices. It discusses challenges with current IoT frameworks and protocols and outlines the WoT approach of using standardized descriptions and APIs to allow IoT devices and services to communicate independently of their implementations. The WoT model consists of four layers - access, find, share, and compose. A Thing Description format and REST and WebSocket APIs are presented. A demo is shown and the presentation concludes by discussing challenges, opportunities, and key takeaways regarding the WoT approach.

The document discusses best practices for test-driven development (TDD) and API contract testing. It introduces TDD foundations like writing tests before code and the red-green-refactor cycle. Tools for TDD like mocking frameworks and behavior-driven development are presented. The concepts of stubs, mocks, and service virtualization are explained. An API contract-first approach is advocated to facilitate automated testing. The key benefits of TDD and resources for further learning are summarized.

an introduction to kafka, comparison to traditional messagging technology and an application using ML and Kafka

This document discusses using streaming APIs like Kafka in production environments. It begins with an introduction to Kafka including topics, partitions, brokers, producers and consumers. It then discusses how Kafka can be used with microservices for improved decoupling and scalability with an event-driven approach. Kafka Streams and streaming APIs are presented as a way to include streaming data. Several use cases from industries like travel, transportation, finance and news are described that demonstrate how companies leverage Kafka for applications such as predictive maintenance, real-time data processing, and serving as a single source of truth. The presentation concludes with a demo of a simple microservices application using Kafka.

This document provides a brief analysis and comparison of the demographics, economy, history, language, status, and any referendums of three regions: Scotland, Catalunya, and Lombardia. For each region, facts are presented on population statistics, GDP contributions, unemployment rates, historical rulers, official and minority languages, autonomy status within their respective countries, and any independence referendums that have been held.

The document discusses API design best practices. It begins with an overview of API lifecycles and introduces two approaches to API design: design first and code first. It then outlines several design principles for APIs, including treating APIs as products and focusing on developer experience. The document also discusses OpenAPI Specification 3.0 and tools for API design like Stoplight, Restlet, and Apicurio. It concludes with complementary tools for API testing, mocking, and design.

Luca Mattia Ferrari successfully completed an online introduction to databases course from January to March 2013. He scored 53.5% on quizzes, 37% on exercises, and 30% on exams, for a total scaled score of 217.5 out of 293. The course covered lectures, quizzes, exercises and exams on databases. Jennifer Widom, a professor at Stanford University, thanked Ferrari for his participation in their online education experiment.