Accelerate DevOps/Microservices and Kubernetes

Here is the version of my microservices talk that that I gave on September 17th at the SVforum Cloud SIG/Microservices meetup. To learn more see http://microservices.io and http://plainoldobjects.com

Introduction to Microservices Architecture, how it is differs from monolithic architecture, benefits, drawbacks and solutions.

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

The introduction covers the following 1. What are Microservices and why should be use this paradigm? 2. 12 factor apps and how Microservices make it easier to create them 3. Characteristics of Microservices Note: Please download the slides to view animations.

Microservice architecture is gaining popularity in the community, as large scale websites, such as Netflix and Amazon, adopted this paradigm and achieved better scalability. In this talk, we will cover issues with monolithic approach, how microservice architecture addresses those issues, and how it works in the real world.

This document discusses designing microservices. It covers identifying service boundaries by analyzing business domains. Key considerations for service design include granularity, managing dependencies, capturing domain knowledge, and exposing interfaces. Data modeling challenges with microservices like eventual consistency are also addressed. The document provides an overview of implementing microservices on platforms like Service Fabric and container technologies.

Enterprises are increasingly adopting DevOps. Docker adoption has surged to 35%, taking the lead over Chef and Puppet which at 28% each. To get the most out of the synergy between DevOps and containers you need to adopt container-native architecture for application development. This slide deck explores the importance of having container-native architecture in your enterprise and WSO2’s roadmap for it.

The document provides an overview of modern cloud architecture. It discusses key cloud concepts like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also covers architectural considerations for cloud applications like multi-tenancy, load balancing, scaling, security, monitoring, and metering. Microservices architecture and containerization are introduced as approaches for building applications for the cloud. Data-intensive architectures like lambda architecture are also summarized.

The document provides an overview of modern cloud application architecture compared to traditional on-premises architecture. It discusses key aspects of the software development process including analyzing business requirements, choosing an architecture style, and applying design patterns and best practices. Various architecture styles are described such as microservices, event-driven, and big data architectures. Common cloud design patterns are also discussed.

Microservice architecture (MSA) is fast becoming a popular architecture pattern in today’s agile enterprises. Its iterative architecture and development methodologies are attracting the interest of architects who need continuous delivery to fulfill business needs. But, is every characteristic of MSA new or even pragmatic? Can MSA alone help you solve your enterprise challenges? This session will explore how middleware plays a key role in successful MSA-based implementations.

The document discusses merging microservices architecture with SOA practices. It begins with background on the presenter and an agenda that includes defining and sizing microservices, DevOps practices for deployment, and avoiding fragility. Microservices are defined as small, independent, and process-isolated services. The document explores benefits and challenges of microservices, including proper sizing of services and managing dependencies. It provides examples of DevOps practices for loose coupling like service isolation and separate databases. The conclusion emphasizes starting small and reconciling SOA and microservices when sharing capabilities, APIs, and building applications.

- Microservices advocate creating a system from small, isolated services that each own their data and are independently scalable and resilient. They are inspired by biological cells that are small, single-purpose, and work together through messaging. - The system is divided using a divide and conquer approach, decomposing it into discrete subsystems that communicate over well-defined protocols. Each microservice focuses on a single business capability and owns its own data and behavior. - Microservices communicate asynchronously through APIs and events to maintain independence and isolation, which enables continuous delivery, failure resilience, and independent scaling of each service.

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.

This slide deck explores in-depth how enioka Haute Couture designed and built an integration platform around WSO2 ESB to expose internal services to external applications (SaaS, external partners); and how this became a central component of the collaboration between every actor of integration projects.

Microservice architecture. Short intro into the world of microservices, the talk I gave in VilniusPHP meetup.

This document discusses microservices architecture and related concepts. It begins with an overview of microservices compared to earlier SOA approaches. Key aspects of microservices covered include developing single applications as independent services, common misconceptions, principles like single responsibility, and defining appropriate service boundaries. The document also discusses messaging approaches in microservices including REST, gRPC, and asynchronous messaging. Other sections cover organizing microservices, deployment, security, data management, governance, bridging monolithic and microservice systems, and implementing a service mesh.

Slides der Präsentation von Simeon Bosshard, Citrix, am Citrix Day 2014 von Digicomp. Das HTML 5 GUI im Release 10.5 des NetScaler ist eine Neuerung, aber nicht die einzige. Erfahren Sie mehr über die wichtigsten Änderungen wie etwa MobileStream, Cisco RISE und ACI Integration sowie die Erweiterungen im Authentication-Bereich. Natürlich kommen die Neuerungen in den Core-Bereichen Loadbalancing, SSL Offloading etc. ebenfalls nicht zu kurz.

The business case and ROI for MicroServices, DevOps / Agile, adopting CI/CD, and Kubernetes with best practices. (Draft 2)

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.

Microservices-based architectures are in vogue. Over the last couple of years, we have learned how thought leaders implement them, and it seems like every other week we hear about how containers and platform-as-a-service offerings make them ultimately happen. Tech Talent Night Copenhagen 11/22/17 https://greenticket.dk/techtalentnightcph

- The document discusses IBM's strategy around open cloud, OpenStack, DevOps, and orchestration. It highlights several of IBM's offerings related to these areas including SmartCloud products, UrbanCode, and IBM's contributions to OpenStack. - IBM is a major contributor to OpenStack and bases much of its cloud software and services on an open cloud architecture centered around OpenStack. - DevOps, workload orchestration, service orchestration, and technical orchestration are discussed as ways to automate the lifecycle of applications and services across environments. - Patterns for deploying virtual applications from infrastructure-as-a-service to platform-as-a-service are described.

The document discusses strategies for evolving monolithic applications into microservice architectures. It notes that modern software needs to meet increasing demands around release frequency, developer velocity, and infrastructure costs. While classical architectures based on monoliths and service-oriented architectures were effective, they no longer address today's challenges. The document then introduces microservices as an alternative, describing characteristics like independent deployability, language/data agnosticism, and process isolation. It acknowledges that while building individual microservices is straightforward, the difficult part is designing the overall system architecture and operational capabilities required to manage many interconnected microservices. Lagom is presented as one framework that can help implement reactive microservices on the JVM.

Surush Samani of CloudNative Labs gives a demo on how to use Operators on Kubernetes to deploy a camunda engine and maintain it.

Presentation on the current state of cloud computing and the role that open source, containers and microservices are playing in the cloud. Presented to Florida Linux Users Exchange on April 9th, 2015

**Featuring Aaron Williams, Head of Advocacy at Mesosphere, Inc. and Markus Eisele, Developer Advocate at Lightbend, Inc.** The traditional architecture that enterprises run their businesses on has typically been delivered as monolithic applications running in a virtualized, on-premise infrastructure. Public and private cloud technologies have changed everything, but if the applications are not designed, or re-designed, appropriately, then it is impossible to take advantage of the advances in both distributed application services and hybrid infrastructure. Consequently, enterprise architects are looking to microservices-based architectures as a means to modernize their legacy applications. This webinar with Lightbend and partner Mesosphere will introduce a new framework specifically designed to help developers modernize legacy Java EE applications into systems of microservices and then discuss exactly what is required to run these distributed systems at enterprise scale.

This document provides an introduction and overview of containers, Kubernetes, IBM Container Service, and IBM Cloud Private. It discusses how microservices architectures break monolithic applications into smaller, independently developed services. Containers are presented as a standard way to package applications to move between environments. Kubernetes is introduced as an open-source system for automating deployment and management of containerized applications. IBM Cloud Container Service and IBM Cloud Private are then overviewed as platforms that combine Docker and Kubernetes to enable deployment of containerized applications on IBM Cloud infrastructure.

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 architectures and microservices. It introduces the speaker and covers topics like how fast software delivery requires decoupling services, using containers and Kubernetes for deployment, and using Apache Camel for integration between microservices. It also discusses using OpenShift and Fuse Integration Services on OpenShift to develop and deploy microservices in a cloud native way.

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.

Microservices are not for everyone! If you're a small shop, a monolith provides a great amount of value and reduces the complexities involved. However as your company grows, this monolith becomes more difficult to maintain. We’ll look at how microservices allow you to easily deploy and debug atomic pieces of infrastructure which allows for increased velocity in reliable, tested, and consistent deploys. We’ll look into key metrics you can use to identify the right time to begin the transition from monolith to microservices.

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.

Java Agile ALM: OTAP and DevOps in the Cloud Bas Van Oudenaarde job Technical Manager at VX Company.

This document discusses node.js and containers for microservices architectures. It describes how microservices architectures break large monolithic applications into many smaller independent services. Node.js is well-suited for microservices due to its lightweight footprint and asynchronous nature. Containers provide an efficient way to run many independent services on a single machine by virtualizing at the operating system level. The document outlines lessons learned from rewriting a cloud orchestration system called SmartDataCenter using a microservices and container-based architecture.

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.

Boaz Ziniman, a technical evangelist at AWS, presented on microservices and serverless architectures for mega startups. He discussed how monolithic architectures can limit agility and discussed how microservices help address these issues by decomposing applications into independently deployable services. He then explained how serverless computing removes the need to manage servers by allowing developers to run code without provisioning or managing servers. Examples of serverless offerings from AWS like AWS Lambda were provided. Common use cases for microservices and serverless architectures like web applications, backends, and data processing were also outlined.

Describes why everyone is in love with containers today, and why the serverless pattern is the next logical step in public cloud computing.

The document discusses microservices and provides information on: - The benefits of microservices including faster time to market, lower deployment costs, and more revenue opportunities. - What defines a microservice such as being independently deployable and scalable. - Differences between monolithic and microservice architectures. - Moving applications to the cloud and refactoring monolithic applications into microservices. - Tools for building microservices including Azure Service Fabric and serverless/Functions. - Best practices for developing, deploying, and managing microservices.

Just a JSON parser plus a small subset of JSONPath. Small (currently 4200 lines of code) Very fast, uses an index overlay from the ground up. Does not do JavaBean serialization but can serialize into basic Java types and can map to Java classes and Java records.

This talk was done in Feb 2020. Sergey and I co-presented at CTO Forum on Microservices and Service Mesh (how they relate, requirements, goals, best practices and how DevOps and Agile has had convergence in the set of features for Service Mesh and gateways around observability, feature flags, etc.)

Early Draft: Service Mesh allows developers to focus on business logic while the crosscutting network data layer code is handled by the Service Mesh. This is a boon because this code can be tricky to implement and hard to test all of the edge cases. Service Mesh takes this a few steps further than AOP or Servlet Filters or custom language-specific frameworks because it works regardless of the underlying programming language being used which is great for polyglot development shops. Thus standardizing how these layers work, while allowing teams to pick the best tools or languages for the job at hand. Kubernetes and Istio Service Mesh automate best practices for DevSecOps needs like: failover, scale-out, scalability, health checks, circuit breakers, rate limiters, metrics, observability, avoiding cascading failure, disaster recovery, and traffic routing; supporting CI/CD and microservices architecture. Istio’s ability to automate and maintaining zero trust networks is its most important feature. In the age of high-profile data breaches, security is paramount. Companies want to avoid major brand issues that impact the bottom line and shrink market capitalization in an instant. Istio allows a standard way to do mTLS and auto certificate rotation which helps prevent a breach and limits the blast radius if a breach occurs. Istio also takes the concern of mTLS from microservices deployments and makes it easy to use taking the burden off of application developers.

This document summarizes key points from the book Accelerate about achieving high performance through DevOps practices. It discusses that high performing teams deploy code more frequently with shorter lead times and change fail rates. They use trunk-based development and loosely coupled architectures. Implementing continuous delivery, monitoring, and a lean approach improves software delivery, quality, and reduces burnout. Culture capabilities like learning and collaboration also impact performance. Overall, DevOps practices can double organizational metrics like profitability and productivity. The document advocates transforming through understanding these practices.

Covers how we built a set of high-speed reactive microservices and maximized cloud/hardware costs while meeting objectives in resilience and scalability. Talks about Akka, Kafka, QBit, in-memory computing, from a practitioners point of view. Based on the talks delivered by Geoff Chandler, Jason Daniel, and Rick Hightower at JavaOne 2016 and SF Fintech at Scale 2017, but updated.

see labs at https://github.com/advantageous/j1-talks-2016 Import based on PPT so there is more notes. This is from our JavaOne Talk 2016 on Reakt, reactive Java programming with promises, circuit breakers, and streams. Reakt is a reactive Java lib that provides promises, streams, and a reactor to handle asynchronous call coordination. It was influenced by the design of promises in ES6. You want to async-call serviceA and then serviceB, take the results of serviceA and serviceB, and then call serviceC. Then, based on the results of call C, call D or E and then return the results to the original caller. Calls to A, B, C, D, and E are all async calls, and none should take longer than 10 seconds. If they do, then return a timeout to the original caller. The whole async call sequence should time out in 20 seconds if it does not complete and should also check for circuit breakers and provide back pressure feedback so the system does not have cascading failures. Learn more in this session.

see labs at https://github.com/advantageous/j1-talks-2016 Import based on PDF. This is from our JavaOne Talk 2016 on Reakt, reactive Java programming with promises, circuit breakers, and streams. Reakt is a reactive Java lib that provides promises, streams, and a reactor to handle asynchronous call coordination. It was influenced by the design of promises in ES6. You want to async-call serviceA and then serviceB, take the results of serviceA and serviceB, and then call serviceC. Then, based on the results of call C, call D or E and then return the results to the original caller. Calls to A, B, C, D, and E are all async calls, and none should take longer than 10 seconds. If they do, then return a timeout to the original caller. The whole async call sequence should time out in 20 seconds if it does not complete and should also check for circuit breakers and provide back pressure feedback so the system does not have cascading failures. Learn more in this session.

Covers how we built a set of high-speed reactive microservices and maximized cloud/hardware costs while meeting objectives in resilience and scalability. This has more notes attached as it is based on the ppt not the PDF.

High-speed reactive microservices (HSRM) are microservices that are in-memory, non-blocking, own their data through leasing, and use streams and batching. They provide advantages like lower costs, ability to handle more traffic with fewer resources, and cohesive codebases. The example service described handles 30k recommendations/second on a single thread through batching, streaming, and data faulting. The document discusses attributes of HSRM like single writer rules and service stores, and related concepts like reactive programming, streams, and service sharding.

Learning more about Netty helps me understand Vert.x better. Netty in Action is a great book. The threading model of Netty is very important to understanding event loops and reactive programming.

This document provides notes on Netty Part 2 focusing on transports and buffers. It discusses the different Netty transport options including NIO, epoll, and OIO. It explains that Netty provides a common interface for different implementations. The document also covers Netty buffers including ByteBuf, direct vs array-backed buffers, composite buffers, and buffer pooling. It emphasizes that performance gains come from reducing byte copies and buffer allocation.

Some basic notes about Netty Fundamentals using Java. Focus on concepts and how they map to top level classes in the Netty API.

Comparing the speed of RPC calls over WebScoket Microservices versus REST based microservices. Using wrk, QBit, and examples in Java we show how much faster WebSocket is for doing RPC service calls.

Consul is a service discovery system that provides a microservice style interface to services, service topology and service health. With service discovery you can look up services which are organized in the topology of your datacenters. Consul uses client agents and RAFT to provide a consistent view of services. Consul provides a consistent view of configuration as well also using RAFT. Consul provides a microservice interface to a replicated view of your service topology and its configuration. Consul can monitor and change services topology based on health of individual nodes. Consul provides scalable distributed health checks. Consul only does minimal datacenter to datacenter communication so each datacenter has its own Consul cluster. Consul provides a domain model for managing topology of datacenters, server nodes, and services running on server nodes along with their configuration and current health status. Consul is like combining the features of a DNS server plus Consistent Key/Value Store like etcd plus features of ZooKeeper for service discovery, and health monitoring like Nagios but all rolled up into a consistent system. Essentially, Consul is all the bits you need to have a coherent domain service model available to provide service discovery, health and replicated config, service topology and health status. Consul also provides a nice REST interface and Web UI to see your service topology and distributed service config. Consul organizes your services in a Catalog called the Service Catalog and then provides a DNS and REST/HTTP/JSON interface to it. To use Consul you start up an agent process. The Consul agent process is a long running daemon on every member of Consul cluster. The agent process can be run in server mode or client mode. Consul agent clients would run on every physical server or OS virtual machine (if that makes more sense). Client runs on server hosting services. The clients use gossip and RPC calls to stay in sync with Consul. A client, consul agent running in client mode, forwards request to a server, consul agent running in server mode. Clients are mostly stateless. The client does LAN gossip to the server nodes to communicate changes. A server, consul agent running in server mode, is like a client agent but with more tasks. The consul servers use the RAFT quorum mechanism to see who is the leader. The consul servers maintain cluster state like the Service Catalog. The leader manages a consistent view of config key/value pairs, and service health and topology. Consul servers also handle WAN gossip to other datacenters. Consul server nodes forwards queries to leader, and forward queries to other datacenters. A Datacenter is fairly obvious. It is anything that allows for fast communication between nodes, with as few or no hops, little or no routing, and in short: high speed communication. This could be an Amazon EC2 availability zone, a networking environment like a subnet, or any private, low latency, high