This document provides an overview of integrating microservices with Apache Camel and JBoss Fuse. It introduces Apache Camel as a lightweight integration library that uses enterprise integration patterns and domain-specific languages to define integration "flows" and "routes". It describes how Camel supports features like dynamic routing, REST APIs, backpressure, load balancing, and circuit breakers that are useful for building microservices. The document also introduces JBoss Fuse as a development and runtime platform for microservices that provides tooling, frameworks, management capabilities and container support using technologies like Apache Camel, CXF, ActiveMQ and Karaf.
Best Practices for Middleware and Integration Architecture Modernization with...Claus Ibsen
What are important considerations when modernizing middleware and moving towards serverless and/or cloud native integration architectures? How can we make the most of flexible technologies such as Camel K, Kafka, Quarkus and OpenShift. Claus is working as project lead on Apache Camel and has extensive experience from open source product development.
The talk was recorded and runs for 30 minutes and published on youtube at: https://www.youtube.com/watch?v=d1Hr78a7Lww
This is a talk on how you can monitor your microservices architecture using Prometheus and Grafana. This has easy to execute steps to get a local monitoring stack running on your local machine using docker.
Any team that has made the jump from building monoliths to building microservices knows the complexities you must overcome to build a system that is functional and maintainable. Building a microservice architecture that is low latency and only communicates using REST APIs is even more tricky, with high latency for requests being a common concern. This talk explains how you can use events as the backbone of your microservice architecture and build an efficient, event-driven system. It covers how to get started with designing your microservice architecture and the key requirements any system needs to fulfil. It also introduces the different patterns you will encounter in event-driven architectures and the advantages and disadvantages of these choices. Finally it explains why Apache Kafka is a great choice for event-driven microservices.
GraphQL is a query language for APIs and a runtime for fulfilling those queries. It gives clients the power to ask for exactly what they need, which makes it a great fit for modern web and mobile apps. In this talk, we explain why GraphQL was created, introduce you to the syntax and behavior, and then show how to use it to build powerful APIs for your data. We will also introduce you to AWS AppSync, a GraphQL-powered serverless backend for apps, which you can use to host GraphQL APIs and also add real-time and offline capabilities to your web and mobile apps. You can follow along if you have an AWS account – no GraphQL experience required!
Level: Beginner
Speaker: Rohan Deshpande - Sr. Software Dev Engineer, AWS Mobile Applications
Best Practices for Middleware and Integration Architecture Modernization with...Claus Ibsen
What are important considerations when modernizing middleware and moving towards serverless and/or cloud native integration architectures? How can we make the most of flexible technologies such as Camel K, Kafka, Quarkus and OpenShift. Claus is working as project lead on Apache Camel and has extensive experience from open source product development.
The talk was recorded and runs for 30 minutes and published on youtube at: https://www.youtube.com/watch?v=d1Hr78a7Lww
This is a talk on how you can monitor your microservices architecture using Prometheus and Grafana. This has easy to execute steps to get a local monitoring stack running on your local machine using docker.
Any team that has made the jump from building monoliths to building microservices knows the complexities you must overcome to build a system that is functional and maintainable. Building a microservice architecture that is low latency and only communicates using REST APIs is even more tricky, with high latency for requests being a common concern. This talk explains how you can use events as the backbone of your microservice architecture and build an efficient, event-driven system. It covers how to get started with designing your microservice architecture and the key requirements any system needs to fulfil. It also introduces the different patterns you will encounter in event-driven architectures and the advantages and disadvantages of these choices. Finally it explains why Apache Kafka is a great choice for event-driven microservices.
GraphQL is a query language for APIs and a runtime for fulfilling those queries. It gives clients the power to ask for exactly what they need, which makes it a great fit for modern web and mobile apps. In this talk, we explain why GraphQL was created, introduce you to the syntax and behavior, and then show how to use it to build powerful APIs for your data. We will also introduce you to AWS AppSync, a GraphQL-powered serverless backend for apps, which you can use to host GraphQL APIs and also add real-time and offline capabilities to your web and mobile apps. You can follow along if you have an AWS account – no GraphQL experience required!
Level: Beginner
Speaker: Rohan Deshpande - Sr. Software Dev Engineer, AWS Mobile Applications
Presented by Nikola Vasilev on SkopjeTechMeetup 7.
Representational state transfer (REST) can be thought of as the language of the Internet. Now with cloud usage on the rise, REST is a logical choice for building APIs that allow end users to connect and interact with cloud services. This talk will deliver more insight into the challenges on building and maintaining good and clean RESTful APIs.
Discussed the general OAuth2 features. Reviewer OAuth2 Roles and Grand Flows
Authorization code grant flow
Implicit grant flow
Resource owner password credentials grant flow
Client credentials grant flow
Reviewed access resource flow and token refresh.
see video: https://www.youtube.com/watch?v=UPsVD-A7gP0
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...Amazon Web Services
Using Terraform to automate your infrastructure on AWS. What is Terraform and how is it different from Ansible. How to control cloud deployments using Terraform.
An inroduction to Terraform, a tool that helps you deploy and change your infrastructure as code. Given at Rencontres Mondiales du Logiciel libre (RMLL) 2017
Building an enterprise level single sign-on application with the help of keycloak (Open Source Identity and Access Management).
And understanding the way to secure your application; frontend & backend API’s. Managing user federation with minimum configuration.
For HashiCorp fans, Terraform and Vault have been the go-to products for provisioning and securing cloud infrastructure as organizations move to the cloud. Terraform is releasing 0.12 and Vault surpassed 1.0 (and is now at 1.1). Many organizations have already adopted Terraform and Vault and are looking to adopt Consul. However, as organizations mature in usage of the HashiCorp stack, how can the various products work together to further optimize workflows? In this webinar, we’ll walk you through best practices for using Vault to secure data with Terraform.
Docker Kubernetes Istio
Understanding Docker and creating containers.
Container Orchestration based on Kubernetes
Blue Green Deployment, AB Testing, Canary Deployment, Traffic Rules based on Istio
Automate Your Kafka Cluster with Kubernetes Custom Resources confluent
(Sam Obeid, Shopify) Kafka Summit SF 2018
At Shopify we manage multiple Apache Kafka clusters in multiple locations in Google’s cloud platform. We deploy our Kafka clusters as Kubernetes StatefulSets, and we use other K8s workloads to implement different tasks. Automating critical and repetitive operational tasks is one of our top priorities.
In this talk we’ll discuss how we leveraged Kubernetes Custom Resources and Controllers to automate some of the key cluster operational tasks, to detect clusters configuration changes and react to these changes with required actions. We will go through actual examples we implemented at Shopify, how we solved the problem of cluster discovery and how we automated topics creation across different clusters with zero human intervention and safety controls.
Best Practices for ETL with Apache NiFi on Kubernetes - Albert Lewandowski, G...GetInData
Did you like it? Check out our E-book: Apache NiFi - A Complete Guide
https://ebook.getindata.com/apache-nifi-complete-guide
Apache NiFi is one of the most popular services for running ETL pipelines otherwise it’s not the youngest technology. During the talk, there are described all details about migrating pipelines from the old Hadoop platform to the Kubernetes, managing everything as the code, monitoring all corner cases of NiFi and making it a robust solution that is user-friendly even for non-programmers.
Author: Albert Lewandowski
Linkedin: https://www.linkedin.com/in/albert-lewandowski/
___
Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets.
Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries.
https://getindata.com
How to test infrastructure code: automated testing for Terraform, Kubernetes,...Yevgeniy Brikman
This talk is a step-by-step, live-coding class on how to write automated tests for infrastructure code, including the code you write for use with tools such as Terraform, Kubernetes, Docker, and Packer. Topics covered include unit tests, integration tests, end-to-end tests, test parallelism, retries, error handling, static analysis, and more.
Getting started with Apache Camel - May 2013Claus Ibsen
This session will teach you how to get a good start with Apache Camel.
We will introduce you to Apache Camel and how Camel its related to Enterprise Integration Patterns. And how you go about using these patterns in Camel routes, written in Java code or XML files.
We will then discuss how you can get started developing with Camel, and how to setup a new project from scratch using Maven and Eclipse tooling.
This session includes live demos that show how to build Camel applications in Java, Spring, OSGi Blueprint and alternative languages such as Scala and Groovy.
You will also hear what other features Camel provides out of the box, which can make integration much easier for you.
Before opening up for QA, we will share useful links where you can dive into learning more about Camel.
This presentation was video taped which you can find here: http://javagruppen.dk/index.php/moder/historiske-moder/285-javagruppemode-115-apache-camel-i-aarhus
We start with an introduction to what Apache Camel is, and how you can use Camel to make integration much easier. Allowing you to focus on your business logic, rather than low level messaging protocols, and transports.
You will hear how Apache Camel is related Enterprise Integration
Patterns which you can use in your architectural designs and as well in Java or XML code, running on the JVM with Camel.
You will also hear what other features Camel provides out of the box, which can make integration much easier for you.
We also take a moment to look at web console tooling that allows you to get insight into your running Apache Camel applications, which has among others visual route diagrams with tracing/debugging and profiling capabilities. In addition to the web tooling we will also show you other tools in the making.
This talk was presented at JDKIO on September 13th 2016.
Presented by Nikola Vasilev on SkopjeTechMeetup 7.
Representational state transfer (REST) can be thought of as the language of the Internet. Now with cloud usage on the rise, REST is a logical choice for building APIs that allow end users to connect and interact with cloud services. This talk will deliver more insight into the challenges on building and maintaining good and clean RESTful APIs.
Discussed the general OAuth2 features. Reviewer OAuth2 Roles and Grand Flows
Authorization code grant flow
Implicit grant flow
Resource owner password credentials grant flow
Client credentials grant flow
Reviewed access resource flow and token refresh.
see video: https://www.youtube.com/watch?v=UPsVD-A7gP0
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...Amazon Web Services
Using Terraform to automate your infrastructure on AWS. What is Terraform and how is it different from Ansible. How to control cloud deployments using Terraform.
An inroduction to Terraform, a tool that helps you deploy and change your infrastructure as code. Given at Rencontres Mondiales du Logiciel libre (RMLL) 2017
Building an enterprise level single sign-on application with the help of keycloak (Open Source Identity and Access Management).
And understanding the way to secure your application; frontend & backend API’s. Managing user federation with minimum configuration.
For HashiCorp fans, Terraform and Vault have been the go-to products for provisioning and securing cloud infrastructure as organizations move to the cloud. Terraform is releasing 0.12 and Vault surpassed 1.0 (and is now at 1.1). Many organizations have already adopted Terraform and Vault and are looking to adopt Consul. However, as organizations mature in usage of the HashiCorp stack, how can the various products work together to further optimize workflows? In this webinar, we’ll walk you through best practices for using Vault to secure data with Terraform.
Docker Kubernetes Istio
Understanding Docker and creating containers.
Container Orchestration based on Kubernetes
Blue Green Deployment, AB Testing, Canary Deployment, Traffic Rules based on Istio
Automate Your Kafka Cluster with Kubernetes Custom Resources confluent
(Sam Obeid, Shopify) Kafka Summit SF 2018
At Shopify we manage multiple Apache Kafka clusters in multiple locations in Google’s cloud platform. We deploy our Kafka clusters as Kubernetes StatefulSets, and we use other K8s workloads to implement different tasks. Automating critical and repetitive operational tasks is one of our top priorities.
In this talk we’ll discuss how we leveraged Kubernetes Custom Resources and Controllers to automate some of the key cluster operational tasks, to detect clusters configuration changes and react to these changes with required actions. We will go through actual examples we implemented at Shopify, how we solved the problem of cluster discovery and how we automated topics creation across different clusters with zero human intervention and safety controls.
Best Practices for ETL with Apache NiFi on Kubernetes - Albert Lewandowski, G...GetInData
Did you like it? Check out our E-book: Apache NiFi - A Complete Guide
https://ebook.getindata.com/apache-nifi-complete-guide
Apache NiFi is one of the most popular services for running ETL pipelines otherwise it’s not the youngest technology. During the talk, there are described all details about migrating pipelines from the old Hadoop platform to the Kubernetes, managing everything as the code, monitoring all corner cases of NiFi and making it a robust solution that is user-friendly even for non-programmers.
Author: Albert Lewandowski
Linkedin: https://www.linkedin.com/in/albert-lewandowski/
___
Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets.
Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries.
https://getindata.com
How to test infrastructure code: automated testing for Terraform, Kubernetes,...Yevgeniy Brikman
This talk is a step-by-step, live-coding class on how to write automated tests for infrastructure code, including the code you write for use with tools such as Terraform, Kubernetes, Docker, and Packer. Topics covered include unit tests, integration tests, end-to-end tests, test parallelism, retries, error handling, static analysis, and more.
Getting started with Apache Camel - May 2013Claus Ibsen
This session will teach you how to get a good start with Apache Camel.
We will introduce you to Apache Camel and how Camel its related to Enterprise Integration Patterns. And how you go about using these patterns in Camel routes, written in Java code or XML files.
We will then discuss how you can get started developing with Camel, and how to setup a new project from scratch using Maven and Eclipse tooling.
This session includes live demos that show how to build Camel applications in Java, Spring, OSGi Blueprint and alternative languages such as Scala and Groovy.
You will also hear what other features Camel provides out of the box, which can make integration much easier for you.
Before opening up for QA, we will share useful links where you can dive into learning more about Camel.
This presentation was video taped which you can find here: http://javagruppen.dk/index.php/moder/historiske-moder/285-javagruppemode-115-apache-camel-i-aarhus
We start with an introduction to what Apache Camel is, and how you can use Camel to make integration much easier. Allowing you to focus on your business logic, rather than low level messaging protocols, and transports.
You will hear how Apache Camel is related Enterprise Integration
Patterns which you can use in your architectural designs and as well in Java or XML code, running on the JVM with Camel.
You will also hear what other features Camel provides out of the box, which can make integration much easier for you.
We also take a moment to look at web console tooling that allows you to get insight into your running Apache Camel applications, which has among others visual route diagrams with tracing/debugging and profiling capabilities. In addition to the web tooling we will also show you other tools in the making.
This talk was presented at JDKIO on September 13th 2016.
Apache Camel is a very popular integration library that works very well with microservice architecture.
This talk introduces you to Apache Camel and how you can easily get started with Camel on your computer.
Then we cover how to create new Camel projects from scratch as micro services which you can boot using Camel or Spring Boot, or other micro containers such as Jetty or fat JARs. We then take a look at what options you have for monitoring and managing your Camel microservices
using tooling such as Jolokia, and hawtio web console.
The second part of this talk is about running Camel in the cloud. We start by showing you how you can use the Maven Docker Plugin to create a docker image of your Camel application and run it using docker on a single host. Then kubernetes enters the stage and we take a look at how you can deploy your docker images on a kubernetes cloud platform, and how thenfabric8 tooling can make this much easier for the Java developers.
At the end of this talk you will have learned about and seen in practice how to take a Java Camel project from scratch, turn that into a docker image, and how you can deploy those docker images in a scalable cloud platform based on Google's kubernetes.
Getting started with Apache Camel presentation at BarcelonaJUG, january 2014Claus Ibsen
This session will teach you how to get a good start with Apache Camel. We will introduce you to Apache Camel and how Camel its related to Enterprise Integration Patterns. And how you go about using these patterns in Camel routes, written in Java code or XML files.
We will then discuss how you can get started developing with Camel, and how to setup new projects from scratch using Maven and Eclipse tooling.
This session includes live demos that show how to build Camel applications in Java, Spring, OSGi Blueprint and alternative languages such as Scala and Groovy. You will also hear what other features Camel provides out of the box, which can make integration much easier for you.
We also take a moment to look at web console tooling that allows you to get insight into your running Apache Camel applications, which has among others visual route diagrams with tracing/debugging and profiling capabilities.
Developing Microservices with Apache CamelClaus Ibsen
Red Hat Microservices Architecture Day - New York, November 2015. Presented by Claus Ibsen.
Apache Camel is a very popular integration library that works very well with microservice architecture. This talk introduces you to Apache Camel and how you can easily get started with Camel on your computer. Then we cover how to create new Camel projects from scratch as microservices, which you can boot using Camel or Spring Boot, or other micro containers such as Jetty or fat JARs. We then take a look at what options you have for monitoring and managing your Camel microservices using tooling such as Jolokia, and hawtio web console.
We start with an introduction to what Apache Camel is, and how you can use Camel to make integration much easier. Allowing you to focus on your business logic, rather than low level messaging protocols, and transports. You will also hear what other features Camel provides out of the box, which can make integration much easier for you.
We look into web console tooling that allows you to get insight into your running Apache Camel applications, which has among others visual route diagrams with tracing/debugging and profiling capabilities. In addition to the web tooling we will also show you other tools in the making.
Real world #microservices with Apache Camel, Fabric8, and OpenShiftChristian Posta
What are, or aren't, microservices?
There's a lot of hype and buzz, but microservices emerged organically vs how some of the other distributed architectural styles were "handed down to us", so I believe there's some good things once you cut through the hype. In this talk I discussed what are and are NOT microservices, introduced some concepts, and discussed some concrete open-source libraries and frameworks that can help you develop and manage microservice style deployments.
Real-world #microservices with Apache Camel, Fabric8, and OpenShiftChristian Posta
What are and aren't microservices?
Microservices is a validation of the open-source approach to integration and service implementation and a rebuff of the committee-driven SOA approach. In this
Microservices with Apache Camel, Docker and Fabric8 v2Christian Posta
My talk from Red Hat Summit 2015 about the pros/cons of microservices, how integration is a strong requirement for doing distributed systems designs, and how open source projects like Apache Camel, Docker, Kubernetes, OpenShift and Fabric8 can help simplify and manage microservice environments
In an increasingly competitive marketplace, speed and business agility are paramount. And integration between customer-facing systems and back-end applications is more crucial than ever.
At this event, you'll learn how open source software built by communities, like Apache Camel, Docker, Kubernetes, OpenShift Origin, and Fabric8, can help organizations integrate services and establish effective continuous integration and delivery (CI/CD) pipelines.
Abstract
Concurrency is everywhere. Prior to Java 5, concurrency was difficult
and error prone. Since Java 5, it's far more prevalent in our
application code, and through time it's been lurking in open-source
frameworks and containers. Concurrency is also a fundamental part of
Shopzilla's web-site and services ecosystem.
Introduction
Rod Barlow from Shopzilla will explore a brief history of concurrency, and the key
concurrency features and techniques provided by the Java API since
Java 5. Topics covered include Immutability, Atomic References, Blocking
Queues, Locks and Deadlocks. Also covered is Concurrency in
Frameworks, and Shopzilla's Website Concurrency Framework, including
Thread Pools, Executors and Futures.
Migrate from Oracle to Aurora PostgreSQL: Best Practices, Design Patterns, & ...Amazon Web Services
In this session, we show you how to set the source Oracle database environment, the target PostgreSQL environment, and parameter group configuration. We also recommended database parameters to disable foreign keys and triggers. Finally, we discuss best practices for using AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) and show you how to choose the instance type and configure AWS DMS.
Slides from my presentation about Shopzilla's concurrency strategies to the Pasadena Java User's Group on April 26, 2010. This is essentially the same material as covered by my colleague Rodney Barlow in an earlier presentation http://www.slideshare.net/rodneypbarlow/shopzilla-on-concurrency, with a few minor tweaks.
A presentation on why or why not microservices, why a platform is important, discovering how to break down a monolith and some of the challenges you'll face (data, transactions, boundaries, etc). Last section is on Istio and service mesh introductions. Follow on twitter @christianposta for updates and more details
Microservices with Apache Camel, DDD, and KubernetesChristian Posta
Building microservices requires more than just infrastructure, but infrastructure does have a role. In this talk we look at microservices from an enterprise perspective and talk about DDD, Docker, Kubernetes and how established open-source projects in the integration space fits a microservices architecture
Amazon EKS 그리고 Service Mesh
Kubernetes는 컨테이너 서비스를 도입하는 기업들에게 가장 있기있는 Orchestration 플랫폼입니다. 이 세션에서는 아마존에서 6월 정식 출시한 managed Kubenetes서비스인 EKS를 소개해드리며, 오픈소스 버전과의 차이점 및 장점 등에 대해 설명하고, 진보한 마이크로 서비스인 Service Mesh를 구현하는 Linkerd 소개 및 데모를 진행하고자 합니다.
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
Service mesh is a powerful pattern for implementing strong zero-trust networking practices, introducing better network observability, and allowing for more fine-grained traffic control. Up until now, the sidecar pattern was used to implement service-mesh capability but as the technology matures, a new pattern has emerged: sidecarless service mesh. Two prominent open-source networking projects, Cilium and Istio, have implemented a sidecar-free approach to service mesh but they both make interesting design decisions and tradeoffs. In this talk we review the architecture of both, focusing on the pros and cons of implementations such as mutual authentication, ingress, and observability.
Understanding Wireguard, TLS and Workload IdentityChristian Posta
Zero Trust Networking has become a standard marketing buzzword but the underlying principles are critical for modern microservice-style architectures. Authentication, authorizations, policy, etc. can be difficult to implement between services and do so in a maintainable way. Google invented their own transparent encryption and authorization protocol called "ALTS" back in 2007 to serve the application layer of Google's Borg workload scheduler, but we don't see others using it outside Google.
In this webinar we look at existing technology like TLS and newcomer Wireguard and see how these technologies come together to provide a secure foundation for workload identity and modern service-to-service networking.
Istio ambient mesh uses a sidecar-less data plane that focuses on ease of operations, incremental adoption, and separation of security boundaries for applications and mesh infrastructure.
In this webinar, we'll explore:
- The forces of modernization and compliance pressures,
- How Zero Trust Architecture (ZTA) can help, and
- How Istio ambient mesh lowers the barrier for establishing the properties necessary to achieve Zero Trust and compliance
Multicluster Kubernetes and Service Mesh PatternsChristian Posta
Building applications for cloud-native infrastructure that are resilient, scalable, secure, and meet compliance and IT objectives gets complicated. Another wrinkle for the organizations with which we work is the fact they need to run across a hybrid deployment footprint, not just Kubernetes. At Solo.io, we build application networking technology on Envoy Proxy that helps solve difficult multi-deployment, multi-cluster, and even multi-mesh problems.
In this webinar, we’re going to explore different options and patterns for building secure, scalable, resilient applications using technology like Kubernetes and Service Mesh without leaving behind existing IT investments. We’ll see why and when to use multi-cluster topologies, how to build for high availability and team autonomy, and solve for things like service discovery, identity federation, traffic routing, and access control.
Cloud-Native Application Debugging with Envoy and Service MeshChristian Posta
Microservices have been great for accelerating the software innovation and delivery, but they also present new challenges, especially as abstractions and automated orchestration at every layer make pinpointing the issue seem like walking around a maze with a blindfold. Existing tools weren’t designed for distributed environments, and the new tools need to consider how to leverage these abstraction layers to better observe, test, and troubleshoot issues.
Christian Posta walks you through Envoy Proxy and service mesh architecture for L7 data plane, the key features in Envoy that can help in debugging and troubleshooting, chaos engineering as a testing methodology for microservices, how to approach a testing and debugging framework for microservices, and new open source tools that address these areas. You’ll explore a workflow to discover and resolve microservices issues, including injecting experiments for stress testing the applications, gathering requests in flight, recording and replaying them, and debugging them step by step without affecting production traffic.
Kubernetes Ingress to Service Mesh (and beyond!)Christian Posta
Kubernetes users need to allow traffic to flow into and within the cluster. Treating the application traffic separately from the business logic allows presents new possibilities in how service to service traffic is served, controlled and observed — and provides a transition to intra cluster networking like Service Mesh. With microservices, there is a concept of both North / South traffic (incoming requests from end users to the cluster) and East / West (intra cluster) communication between the services. In this talk we will explain how Envoy Proxy works in Kubernetes as a proxy for both of these traffic directions and how it can be leveraged to do things like traffic shaping, security, and integrate the north/south to east/west behavior.
Christian Posta (@christianposta) is Global Field CTO at Solo.io, former Chief Architect at Red Hat, and well known in the community for being an author (Istio in Action, Manning, Istio Service Mesh, O'Reilly 2018, Microservices for Java Developers, O’Reilly 2016), frequent blogger, speaker, open-source enthusiast and committer on various open-source projects including Istio, Kubernetes, and many others. Christian has spent time at both enterprises as well as web-scale companies and now helps companies create and deploy large-scale, cloud-native resilient, distributed architectures. He enjoys mentoring, training and leading teams to be successful with distributed systems concepts, microservices, devops, and cloud-native application design.
The exploration of service mesh for any organization comes with some serious questions. What data plane should I use? How does this tie in with my existing API infrastructure? What kind of overhead do sidecar proxies demand? As I've seen in my work with various organizations over the years "if you have a successful microservices deployment, then you have a service mesh whether it’s explicitly optimized as one or not."
In this talk, we seek to understand the role of the data plane and how to pick the right component for the problem context. We start off by establishing the spectrum of data-plane components from shared gateways to in-code libraries with service proxies being along that spectrum. We clearly identify which scenarios would benefit from which part of the data-plane spectrum and show how modern service meshes including Istio, Linkerd, and Consul enable these optimizations.
Deep Dive: Building external auth plugins for Gloo EnterpriseChristian Posta
Using the plugin framework for Ext. Auth Service in Gloo Enterprise, we can build any custom AuthN/AuthZ plugins to handle security requirements not provided out of the box.
Role of edge gateways in relation to service mesh adoptionChristian Posta
API Gateways provide functionality like rate limiting, authentication, request routing, reporting, and more. If you’ve been following the rise in service-mesh technologies, you’ll notice there is a lot of overlap with API Gateways when solving some of the challenges of microservices. If service mesh can solve these same problems, you may wonder whether you really need a dedicated API Gateway solution?
The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What’s more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the “API Gateway” infrastructure as we know it today and go back to first principles with the “API Gateway pattern” and revisit the real problems we’re trying to solve. Then we’ll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the “API Gateway pattern” actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
Navigating the service mesh landscape with Istio, Consul Connect, and LinkerdChristian Posta
Service mesh has hit the cloud native computing community like a storm, and we’re starting to see gradual adoption across the enterprise. There are a handful of open source service mesh implementations to choose from, including Istio, Consul Connect, and Linkerd.
Christian Posta details why and when you may want to use a service mesh versus when you may want to just stick with a library, Netflix OSS, or application approach. He digs into three popular open source service mesh implementations and explores their goals, strengths, and weaknesses. You’ll come away with a good foundation from which to explore service mesh technology and ask the right questions to get to the right answer for them.
Distributed microservices introduce new challenges: failure modes are harder to anticipate and resolve. In this session, we present a “Chaos Debugging” framework enabled by three open source projects: Gloo Shot, Squash, and Loop to help you increase your microservices’ “immunity” to issues.
Gloo Shot integrates with any service mesh to implement advanced, realistic chaos experiments. Squash connects powerful and mature debuggers (gdb, dlv, java debugging) to your microservices while they run in Kubernetes. Loop extends the capability of your service mesh to observe your application and record full transactions for sandboxed replay and debugging.
Come to this demo-heavy talk to see how together, Squash, Gloo Shot, and Loop allow you to trigger, replay, and investigate failure modes of your microservices in a language agnostic and efficient manner without requiring any changes to your code.
Leveraging Envoy Proxy and GraphQL to Lower the Risk of Monolith to Microserv...Christian Posta
If you have an existing Java monolith, you know you must take care making changes to it or altering it in any negative way. Often times these monoliths are very valuable to the business and generate a lot of revenue. At the same time, since it’s difficult to make changes to the monolith it’s desirable to move to a microservices architecture. Unfortunately you cannot just do a big-bang migration to a greenfield architecture and will have to incrementally adopt microservices. In this talk, we’ll look at using Gloo proxy which is based on Envoy Proxy and GraphQL to do surgical, function-level traffic control and API aggregation to safely migrate your monolith to microservices and serverless functions.
Service-mesh options with Linkerd, Consul, Istio and AWS AppMeshChristian Posta
Service mesh abstracts the network from developers to solve three main pain points:
How do services communicate securely with one another
How can services implement network resilience
When things go wrong, can we identify what and why
Service mesh implementations usually follow a similar architecture: traffic flows through control points between services (usually service proxies deployed as sidecar processes) while an out-of-band set of nodes is responsible for defining the behavior and management of the control points. This loosely breaks out into an architecture of a "data plane" through which requests flow and a "control plane" for managing a service mesh.
Different service mesh implementations use different data planes depending on their use cases and familiarity with particular technology. The control plane implementations vary between service-mesh implementations as well. In this talk, we'll take a look at three different control plane implementations with Istio, Linkerd and Consul, their strengths, and their specific tradeoffs to see how they chose to solve each of the three pain points from above. We can use this information to make choices about a service mesh or to inform our journey if we choose to build a control plane ourselves.
API Gateways are going through an identity crisisChristian Posta
API Gateways provide functionality like rate limiting, authentication, request routing, reporting, and more. If you've been following the rise in service-mesh technologies, you'll notice there is a lot of overlap with API Gateways when solving some of the challenges of microservices. If service mesh can solve these same problems, you may wonder whether you really need a dedicated API Gateway solution?
The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What's more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the "API Gateway" infrastructure as we know it today and go back to first principles with the "API Gateway pattern" and revisit the real problems we're trying to solve. Then we'll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the "API Gateway pattern" actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
KubeCon NA 2018: Evolution of Integration and Microservices with Service Mesh...Christian Posta
Cloud-native describes a way of building applications on a cloud platform to iteratively discover and deliver business value. We now have access to a lot of similar technology that the large internet companies pioneered and used to their advantage to dominate their respective markets. What challenges arise when we start building applications to take advantage of this new technology?
In this talk we'll explore the role of service meshes when building distributed systems, why they make sense, and where they don't make sense. We will look at a class of problem that crops up that service mesh cannot solve, but that frameworks and even new programming languages like Ballerina are aiming to solve
Service-mesh technology promises to deliver a lot of value to a cloud-native application, but it doesn't come without some hype. In this talk, we'll look at what is a "service mesh", how it compares to similar technology (Netflix OSS, API Management, ESBs, etc) and what options for service mesh exist today.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
10. • Agile methodology
• Doman Driven Design
• REST
• Hexagonal Architectures
• Pipes and Filters
• Actor Model
• SEDA
Microservices emerged as a result…
11. A new term! Yay!
A concept that helps describe distributed
systems that organically evolve into scalable,
loosely coupled, independently managed sets
of services that work together to deliver
business value with acceptable tradeoffs.
So what are microservices?
12. Don’t get too caught up in the buzzword bingo;
Microservices is a good concept, but it’s not
itself a panacea.
So what are Microservices?
14. • No silver bullet; distributed systems are
*hard*
• Dependency hell, custom shared libraries
• Fragmented and inconsistent management
• Team communication challenges
• Health checking, monitoring, liveness
• Over architecting, performance concerns,
things spiraling out of control fast
Challenges with Microservices!
17. 1
Apache Camel
Apache Camel is an open-source,
light-weight, integration library.
Use Camel to integrate disparate systems
that speak different protocols and data
formats
19. Features
● Enterprise Integration Patterns (EIPs)
● Domain Specific Language to write “flows” or “routes”
● Large collection of adapters/components for legacy
systems, B2B, and SaaS
● Strong Unit test/Integration test framework
● Expression languages
● Data Formats
● Tooling with JBoss Developer Studio
25. • “Smart endpoints, dumb pipes”
• Endpoint does one thing well
• Metadata used for further routing
• Really “dynamic” with rules engine (eg,
Drools/BRMS)
Dynamic Routing
26. • Content Based Router
• Dynamic Router
• Routing Slip
• Recipient List
Dynamic Routing
27. • Expressive way to define REST endpoints
• POST, REST, PUT
• Auto binding to POJOs
• Plugs into Swagger for interface
definition/documentation
• Uses configurable HTTP engine
• camel-netty-http
• camel-jetty
• camel-reslet
• camel-sevlet (deploy into other containers)
• camel-spark-rest
REST DSL (2.14)
28. REST DSL
public class OrderProcessorRouteBuilder extends RouteBuilder {
@Override
public void configure() throws Exception {
rest().post(“/order/socks”)
.description(“New Order for pair of socks”)
.consumes(“application/json”)
.route()
.to(“activemq:topic:newOrder”)
.log(“received new order ${body.orderId}”)
.to(“ibatis:storeOrder?statementType=Insert”);
}
}
29. • Backpressure is a way for a service to flow
control callers
• Detecting when can be difficult
• Need to bound processing queues in a
SEDA
• Take advantage of built in TCP flow control
for socket/http requests
Backpressure with Camel
30. • Throttle EIP
• http://camel.apache.org/throttler.html
• Blocking SEDA Queue
• from(“seda:name?size=100&blockWhenFull=true)
• Configure jetty/netty to use blocking acceptor
queues
• https://wiki.eclipse.org/Jetty/Howto/High_Load
• Using Exception handling/retry and DLQ
logic when getting flow controlled
• http://camel.apache.org/error-handling-in-camel.html
Backpressure with Camel
31. • Useful to keep from overloading a system
(use in conjunction with backpressure if you
can)
• Smart loadbalancing
• Sticky
• Random
• Failover
• Circuit breaker
Loadbalance/Circuit breaker
37. RED HAT JBOSS FUSE
Development and tooling
Develop, test, debug, refine,
deploy
JBoss Developer Studio
Web services framework
Web services standards, SOAP,
XML/HTTP, RESTful HTTP
Integration framework
Transformation, mediation, enterprise
integration patterns
Management and
monitoring
System and web services metrics,
automated discovery, container
status, automatic updates
JBoss Operations Network
+
JBoss Fabric Management
Console
(hawtio)
Apache CXF Apache Camel
Reliable Messaging
JMS/STOMP/NMS/MQTT, publishing-subscribe/point-2-point, store and forward
Apache ActiveMQ
Container
Life cycle management, resource management, dynamic deployment,
security and provisioning
Apache Karaf + Fuse Fabric
RED HAT ENTERPRISE LINUX
Windows, UNIX, and other Linux
We are going to talk about microservices, and all the goodness that buzzword entails… because you probably wouldn’t have joined this webinar with a few buzzwords… because a talk named something like “oh the same old service oriented architecture with camel” wasn’t as nifty of a title…
Everyone wants tightly integrated business systems
However, a business’s model is usually far too complex to understand as a single unit
Gotta break things down and modularize and reason about things in smaller units
Eric Evans:
The goal of the most ambitious enterprise system is a tightly integrated system spanning the entire business. Yet the entire business model for almost any such organization is too large and complex to manage or even understand as a single unit. The system must be broken into smaller parts, in both concept and implementation. The challenge is to accomplish this modularity without losing the benefits of integration, allowing different parts of the system to interoperate to support the coordination of various business operations. A monolithic, all-encompassing domain model will be unwieldy and loaded with subtle duplications and contradictions. A set of small, distinct subsystems glued together with ad hoc interfaces will lack the power to solve enterprise-wide problems and allows consistency problems to arise at every integration point. The pitfalls of both extremes can be avoided with a systematic, evolving design strategy.
If you’re running everything on a single machine that is infinitely scalable… then most of this talk isn’t really for you…
Building distributed systems is HARD
And the single most difficult thing to get right is architecture… regardless of whether your doing monolith deployments or micro deployments, etc
Make lives easier!
Be able to maintain an application, or set of applications, and evolve it…. Don’t want to have to pay technical debt…
Any time you make decisions, you offset and trade technical debt… it’s baseline technical debt.. Can’t do anything about that.. Any bad descisions you make to start, you start paying debt and it becomes exponential…
Debt is always going to grow..
Maintainability
------------------
Swapping out pieces for off the shelf? Or the other way around, swapping out for cheaper, commodity pieces
Scaling
Bug fixes, dependency ripple affect
But we are developing soft systems, not rigid buildings or structures.. Our requirements change frequently, and the way the applications we build are used in diferent ways
Not only does the business landscape constantly change and force changes, but even without those constraints, once our software is built, we find that people use it or need it for something different than they thought and they wouldn’t have figured this out without first trying the software… so there is constant evolution.
Sam Newman’s book on Building Microservices recalls an interaction with a colleague Erik Doernenburg and how they conceptually think of architects more as town planners and not as maniacal micromanaging software purists.
Need to manage the communication between the zones or regional contexts within our architecture, or this can easily be the demise to our systems…
Need a coherent strategy to achieve this!
Service-Oriented Architecture (SOA) is a design approach where multiple services collaborate together to provide some end set of capabilities. A service here typically means a completely separate operating system process. Communication between these services is done via calls across a network rather than method calls within a process boundary.
SOA emerged as an approach to combat the challenges of the large monolithic applications. It is an approach which aims to promote the re-usability of software - two or more end-user applications for example could both use the same services. It is an approach which aims to make it easier to maintain or rewrite software, as theoretically we can replace one service with another without anyone knowing, as long as the semantics of the service don’t change too much.
SOA at its heart is a very sensible idea. However, despite many efforts to the contrary, there is a lack of good consensus as how to do SOA well. In my opinion what much of the industry has failed to do is look holistically enough at the problem and present a compelling alternative to the narrative set out by various vendors in this space.
Many of the problems lain at the door of SOA are actually problems with things like communication protocols (SOAP), vendor middle-ware, a lack of guidance about service granularity, or guidance on picking the wrong places to split your system. We’ll tackle each of these in turn throughout the rest of the book. A cynic might suggests that vendors co-opted (and in some cases drove) the SOA movement in a way to sell more products, and those self-same products in the end undermined the goal of SOA.
Much of the conventional wisdom around SOA doesn’t help you understand how to split something big into something small. It doesn’t talk about how big is too big. It doesn’t talk enough about real-world practical ways to ensure that services do not become overly coupled. The number of things that go unsaid is where many of the pitfalls associated with SOA come from.
The microservice approach has emerged from real-world use, taking our better understanding of systems and architecture on how to do SOA well. So you should instead think of Microservices as a specific approach for SOA in the same way that XP or Scrum are specific approaches for Agile software development.
For many years now we have been finding better ways to build systems. We have been learning from what has come before, adopting new technology, and observing how a new wave of technology companies operate in different ways to create IT systems that help make both their customers and own developers happier.
Eric Evans’ Domain Driven Design helped us understand the importance of representing the real world in our code, and showed us a path towards better ways to model our systems. Continuous Delivery showed how we can more effectively and efficiently get our software into production, instilling in us the idea that we should treat every check in as a release candidate. Our understanding of how the Web works has led us to develop better ways of having machines talk to machines. Alistar Cockburn’s Hexagonal Architecture guided us away from layered architectures where business logic could hide. Virtualisation platforms allowed us to provision and resize our machines at will, with Infrastructure Automation giving us a way to handle these machines at scale. Some large, successful organisations like Amazon and Google espoused the view of small teams owning the full life-cycle of their services. And more recently Netflix has shared with us ways of building anti-fragile systems at a scale that would be hard to comprehend just ten years before.
Domain Driven Design. Continuous Delivery. On-demand virtualisation. Infrastructure automation. Small autonomous teams. Systems at Scale. Microservices have emerged from this world. They weren’t invented or described before the fact, they emerged as a trend, or a pattern, from real-world use. But they only exist because of all that has gone before. I will pull strands out of this prior work to help paint a picture of how to build, manage and evolve Microservices throughout the rest of this book.
Many organisations have found that by embracing fine-grained, microservice architectures, they can deliver software faster and embrace newer technologies. Microservices give us significantly more freedom to allow us to react and make different decisions, allowing us to react faster to the inevitable change that impacts all of us.
For many years now we have been finding better ways to build systems. We have been learning from what has come before, adopting new technology, and observing how a new wave of technology companies operate in different ways to create IT systems that help make both their customers and own developers happier.
Eric Evans’ Domain Driven Design helped us understand the importance of representing the real world in our code, and showed us a path towards better ways to model our systems. Continuous Delivery showed how we can more effectively and efficiently get our software into production, instilling in us the idea that we should treat every check in as a release candidate. Our understanding of how the Web works has led us to develop better ways of having machines talk to machines. Alistar Cockburn’s Hexagonal Architecture guided us away from layered architectures where business logic could hide. Virtualisation platforms allowed us to provision and resize our machines at will, with Infrastructure Automation giving us a way to handle these machines at scale. Some large, successful organisations like Amazon and Google espoused the view of small teams owning the full life-cycle of their services. And more recently Netflix has shared with us ways of building anti-fragile systems at a scale that would be hard to comprehend just ten years before.
Domain Driven Design. Continuous Delivery. On-demand virtualisation. Infrastructure automation. Small autonomous teams. Systems at Scale. Microservices have emerged from this world. They weren’t invented or described before the fact, they emerged as a trend, or a pattern, from real-world use. But they only exist because of all that has gone before. I will pull strands out of this prior work to help paint a picture of how to build, manage and evolve Microservices throughout the rest of this book.
Many organisations have found that by embracing fine-grained, microservice architectures, they can deliver software faster and embrace newer technologies. Microservices give us significantly more freedom to allow us to react and make different decisions, allowing us to react faster to the inevitable change that impacts all of us.
Intended for highly realiable, scalable distributed systems.
Allow for planned/unplanned failures without compromising the entire system.
You can know when a process dies and why it did (fabric?)
You can force processes that depend on each other to die together if one of them goes wrong (co-locate systems in karaf)
You can run a logger that automatically logs every uncaught exception for you, and even define your own
Nodes can be monitored so you know when they went down (or got disconnected)
You can restart failed processes (or groups of failed processes)
Have whole applications restarting on different nodes if one fails
And a lot more more stuff with the OTP framework
For many years now we have been finding better ways to build systems. We have been learning from what has come before, adopting new technology, and observing how a new wave of technology companies operate in different ways to create IT systems that help make both their customers and own developers happier.
Eric Evans’ Domain Driven Design helped us understand the importance of representing the real world in our code, and showed us a path towards better ways to model our systems. Continuous Delivery showed how we can more effectively and efficiently get our software into production, instilling in us the idea that we should treat every check in as a release candidate. Our understanding of how the Web works has led us to develop better ways of having machines talk to machines. Alistar Cockburn’s Hexagonal Architecture guided us away from layered architectures where business logic could hide. Virtualisation platforms allowed us to provision and resize our machines at will, with Infrastructure Automation giving us a way to handle these machines at scale. Some large, successful organisations like Amazon and Google espoused the view of small teams owning the full life-cycle of their services. And more recently Netflix has shared with us ways of building anti-fragile systems at a scale that would be hard to comprehend just ten years before.
Domain Driven Design. Continuous Delivery. On-demand virtualisation. Infrastructure automation. Small autonomous teams. Systems at Scale. Microservices have emerged from this world. They weren’t invented or described before the fact, they emerged as a trend, or a pattern, from real-world use. But they only exist because of all that has gone before. I will pull strands out of this prior work to help paint a picture of how to build, manage and evolve Microservices throughout the rest of this book.
Many organisations have found that by embracing fine-grained, microservice architectures, they can deliver software faster and embrace newer technologies. Microservices give us significantly more freedom to allow us to react and make different decisions, allowing us to react faster to the inevitable change that impacts all of us.
Team communi – conways law…
Communication is paramount!
DSLs for Java, XML, OSGI, Groovy, Scala, Kotlin…highly polyglo
Security
Quality
Freedom, no vendor lockin
Interoperability
Support Options
Try before you buy
http://www.pcworld.com/article/209891/10_reasons_open_source_is_good_for_business.html