Alfie Chen from inwinSTACK talks about choosing between VMs and containers when deploying your application, including the benefits of either options and the decision making processes.
This document discusses containers and microservices. It begins by comparing VMs to containers, noting that containers provide operating-system-level virtualization while VMs require a whole operating system. It then discusses how modern applications are decomposed into independent microservices that can be developed, tested and deployed independently. Containers allow each microservice to run isolated in its own container. The document concludes that containers may ultimately replace VMs for many workloads, as containers provide the necessary isolation and packaging for microservices without the overhead of full virtual machines.
1) The document discusses a presentation about Go and microservices given by Andrea Di Persio, a backend engineer at SoundCloud.
2) It covers an introduction to Go as a programming language, how SoundCloud uses Go and microservices in their infrastructure and applications, and how SoundCloud implements microservices using Go.
3) Some benefits of using Go and microservices at SoundCloud include isolated services that are easier to reason about and deploy independently while still being able to experiment and take ownership of specific domains.
All the reasons for choosing react js that you didn't know about - Avi Marcus...Codemotion Tel Aviv
ReactJS is a UI library that helps improve development velocity (O(DevTime)) by keeping codebases small and flows unidirectional. It has built-in support for testing and renders views as a pure function of state, making updates efficient and abstractions non-leaky. The document discusses how ReactJS helped reduce one codebase from 175,000 lines to 46,000 lines while also lowering the onboarding time for new members from 2-3 weeks to 1 day. Enemies of development velocity like poor test coverage, complex flows, state management, and leaky abstractions are avoided with React's functional approach.
Building autonomous components with OWIN, PSake, NuGet, GitVersion and SwaggerDennis Doomen
Breaking down monolothic systems into smaller components that are maintained by specific people in separate git repositories and distributed as NuGet packages is becoming the standard these days. But what if your component needs to expose some kind of HTTP end-point such as a WebAPI controller or an embedded management website? How do you host such a component in another system without affecting it's hosting model? This is were the Open Web Interface for .NET comes to the rescue. Even the next version of ASP.NET is completely based on OWIN hosting. In this session I'm going to explain you how to build OWIN middleware components and how to host these in an IIS website, a Windows Service or even in a command-line tool.
Managing Microservices traffic using IstioArun prasath
This document summarizes managing microservices traffic using Istio. It discusses the challenges of managing microservices like traffic management, observability, and security. It then introduces Istio as an open platform that provides traffic management, policy enforcement, metrics, logs, traces, and security for microservices without requiring code changes. It describes Istio's architecture including Pilot and Mixer and how to install Istio on Kubernetes. Finally, it outlines some of Istio's key capabilities like traffic management, policy enforcement, and collecting metrics, logs, and traces.
From JavaSpaces, JINI and GigaSpaces to SpringBoot, Akka – reactive and microservice pitfalls.
http://blog.mitemitreski.com/2014/11/java2days-2014-from-javaspaces-jini-and.html#.VHPK7x9jOCg
The document discusses some of the challenges and pitfalls of microservices architecture, including architectural, operational, and organizational issues. Architecturally, distributed systems are difficult to manage due to issues like lack of global clock, independent failures, and network latency and reliability. Operationally, deploying and upgrading many independent services requires extensive automation, monitoring, and incident response systems. Organizationally, acquiring distributed skills and managing loose coupling between teams presents challenges for companies adopting microservices.
This document discusses containers and microservices. It begins by comparing VMs to containers, noting that containers provide operating-system-level virtualization while VMs require a whole operating system. It then discusses how modern applications are decomposed into independent microservices that can be developed, tested and deployed independently. Containers allow each microservice to run isolated in its own container. The document concludes that containers may ultimately replace VMs for many workloads, as containers provide the necessary isolation and packaging for microservices without the overhead of full virtual machines.
1) The document discusses a presentation about Go and microservices given by Andrea Di Persio, a backend engineer at SoundCloud.
2) It covers an introduction to Go as a programming language, how SoundCloud uses Go and microservices in their infrastructure and applications, and how SoundCloud implements microservices using Go.
3) Some benefits of using Go and microservices at SoundCloud include isolated services that are easier to reason about and deploy independently while still being able to experiment and take ownership of specific domains.
All the reasons for choosing react js that you didn't know about - Avi Marcus...Codemotion Tel Aviv
ReactJS is a UI library that helps improve development velocity (O(DevTime)) by keeping codebases small and flows unidirectional. It has built-in support for testing and renders views as a pure function of state, making updates efficient and abstractions non-leaky. The document discusses how ReactJS helped reduce one codebase from 175,000 lines to 46,000 lines while also lowering the onboarding time for new members from 2-3 weeks to 1 day. Enemies of development velocity like poor test coverage, complex flows, state management, and leaky abstractions are avoided with React's functional approach.
Building autonomous components with OWIN, PSake, NuGet, GitVersion and SwaggerDennis Doomen
Breaking down monolothic systems into smaller components that are maintained by specific people in separate git repositories and distributed as NuGet packages is becoming the standard these days. But what if your component needs to expose some kind of HTTP end-point such as a WebAPI controller or an embedded management website? How do you host such a component in another system without affecting it's hosting model? This is were the Open Web Interface for .NET comes to the rescue. Even the next version of ASP.NET is completely based on OWIN hosting. In this session I'm going to explain you how to build OWIN middleware components and how to host these in an IIS website, a Windows Service or even in a command-line tool.
Managing Microservices traffic using IstioArun prasath
This document summarizes managing microservices traffic using Istio. It discusses the challenges of managing microservices like traffic management, observability, and security. It then introduces Istio as an open platform that provides traffic management, policy enforcement, metrics, logs, traces, and security for microservices without requiring code changes. It describes Istio's architecture including Pilot and Mixer and how to install Istio on Kubernetes. Finally, it outlines some of Istio's key capabilities like traffic management, policy enforcement, and collecting metrics, logs, and traces.
From JavaSpaces, JINI and GigaSpaces to SpringBoot, Akka – reactive and microservice pitfalls.
http://blog.mitemitreski.com/2014/11/java2days-2014-from-javaspaces-jini-and.html#.VHPK7x9jOCg
The document discusses some of the challenges and pitfalls of microservices architecture, including architectural, operational, and organizational issues. Architecturally, distributed systems are difficult to manage due to issues like lack of global clock, independent failures, and network latency and reliability. Operationally, deploying and upgrading many independent services requires extensive automation, monitoring, and incident response systems. Organizationally, acquiring distributed skills and managing loose coupling between teams presents challenges for companies adopting microservices.
Node.js is a JavaScript runtime environment that allows JavaScript to be run on the server side. It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient for data-intensive real-time applications that require persistent connections. Some common uses of Node.js include real-time web applications, building APIs, and handling multiple connections at once without creating new threads. The document discusses why Node.js is well-suited for applications that require maintaining persistent connections from the browser to send updates in real-time using techniques like long-polling.
Owain Perry (Just Giving) - Continuous Delivery of Windows Micro-Services in ...Outlyer
Owain will talk about the journey JustGiving.com have gone through to get to Continuous delivery on their Windows environment. He will talk about what they did, how they did it and lessons learned along the way
Video: https://www.youtube.com/watch?v=MVXaR6oEK60
Join DevOps Exchange London here: http://www.meetup.com/DevOps-Exchange-London
Follow DOXLON on twitter http://www.twitter.com/doxlon
Reactive applications and microservices with Vert.x tool-kitVictor Hugo
This document discusses reactive applications and microservices using the Vert.x toolkit. It defines reactive as responding quickly to stimuli. Reactive systems are responsive, rapid, resilient, and scalable. Microservices break applications into smaller, independent services. Vert.x is a toolkit that can build reactive and microservices applications. It is lightweight, fast, modular, and supports multiple programming languages. Vert.x allows building scalable, high-performance microservices and applications.
Henrique Rodrigues (NotOnTheHighStreet.com) - Building a Future-Proof Infrast...Outlyer
This document discusses the evolution of notonthehighstreet.com's infrastructure from a monolithic Ruby on Rails application hosted on over 150 physical and virtual servers, to a microservices architecture using Docker containers, Mesos for clustering, and Consul for service discovery and configuration management. The goals of the new architecture were to build a scalable, self-service infrastructure that allows for easy creation and management of new services. Key aspects of the implementation include using Docker to define service environments, Mesos for container orchestration, Consul as a configuration store, and ELK stack for logging. Ansible is used for configuration management and deploying services via integration with tools like Marathon and Jenkins.
Brian Ketelsen - Microservices in Go using Micro - Codemotion Milan 2017Codemotion
Go beyond the hype and dig into building microservices with the Go framework Micro (micro.mu). In this talk you’ll learn how to create and deploy microservices using the popular framework Micro, which was extracted out of experience running services at Google and Hailo. You’ll see services built from scratch and deployed to the cloud, as well as a demonstration of all the features Micro includes to manage your services when they’re in production.
The document outlines 7 rules for cloud-native development according to Solomon Hykes:
1. Think in terms of services rather than servers
2. Don't reinvent the wheel and leverage existing services
3. Avoid silos and have integrated, cross-functional teams working on products
4. Don't impose unnecessary restrictions that get in the way of developers
5. Start with standardized approaches and only customize later if needed
6. Enable rapid experimentation through a service-oriented architecture
7. Ship code changes daily to maximize speed and productivity
The document discusses ReactorKit, an architecture framework that uses RxSwift to help address issues like massive view controllers and cyclic data dependencies. It provides concise summaries of ReactorKit's key concepts including the Reactor pattern which separates business logic from views using a unidirectional data flow, and examples of how state changes and view actions flow through the different components.
eigr.io – a Serverless Runtime on the BEAM (ACM SIGPLAN, ICFP 2021 Erlang Wor...MarcelLanz
Serverless runtimes are often hidden in a cloud providers offering and exposed solely by their programming API and deployment procedures. In this talk, we’ll explore an open-source Serverless runtime built for the cloud and on-premises, running on the BEAM with a polyglot programming model to build general purpose applications.
Building general purpose applications using multiple languages and having a story how to handle state was our main motivation to explore the space of a Serverless runtime to be built. We think the BEAM, OTP and Elixir/Erlang are a perfect match to build on.
With this talk, we combine herein the world of the BEAM with cloud technology like a gRPC-based protocol, Kubernetes and a polyglot programming model with languages supported like Go, JavaScript, JVM-languages, Python and many more.
https://icfp21.sigplan.org/details/erlang-2021-papers/13/Lightning-Talk-eigr-io-A-Serverless-Runtime-on-the-BEAM
Vert.x is an asynchronous and non-blocking event-driven framework that allows building reactive applications on the JVM. It uses the reactor pattern and handles a large number of concurrent connections through asynchronous I/O without blocking threads. Applications can be written in Java or other JVM languages and deployed as microservices that communicate asynchronously through an event bus. This allows for easy horizontal scalability.
These are the slides from talk given by Mateusz Gajewski at AWS UG meeting in Warsaw. Content: Apache Mesos, Cluster Scheduling, Hybrid Environment, Scalability, Fault Tolerance.
This document discusses microservices architecture and its application to libraries. It begins by defining microservices and noting that libraries can benefit from a microservices approach to allow for increased innovation. It then covers traditional monolithic architectures and some of their limitations for scaling. The remainder of the document discusses moving from monolithic to microservices, including using containerization and DevOps practices. It provides examples of how microservices were used for complex workflows like audio/video ingest. It also covers testing, deployment strategies, security considerations and integrating microservices with existing systems.
This document discusses how an insurance company started using Go for various projects including a RichClient distribution system, business event monitoring, and an OCR solution. It describes some initial problems like network issues and slow performance that led them to use Go. It provides details on projects like a SOAP caller, indexing server, and client starter that were developed in Go to help distribute Java applications, monitor events, and index/distribute files. The document discusses benefits of Go like stability, easy deployment, and a nice development environment for solving their infrastructure problems compared to other options like Java.
This document introduces React for .NET developers. It provides a brief history of web development in .NET and discusses how React addresses the needs of modern users and developers. The core concepts of React like components, JSX, top-down data flow, and the virtual DOM are explained. ReactJS.NET is introduced as a way to use React with ASP.NET MVC. In summary, React provides fast load times, rich client functionality, and testable code while having a short learning curve and enabling reusability.
This document provides an overview of Azure Dev Spaces, which allows developers to share an Azure Kubernetes Service (AKS) cluster for building and testing applications. It discusses challenges with manually hosting Kubernetes clusters and benefits of AKS, which simplifies Kubernetes deployment and management. Azure Dev Spaces enables developers to test code end-to-end on an AKS cluster without needing to replicate or simulate dependencies. It also allows easy onboarding of new team members with minimal machine setup required. The document concludes with a demonstration of Azure Dev Spaces.
Building microservices web application using scala & akkaBinh Nguyen
- Microservices is an architectural style that structures an application as a collection of small, independent services that communicate with each other, often over the network. It can improve agility, scalability, and resilience.
- While challenging, microservices are worth pursuing due to benefits like improved iteration speed and engineer autonomy enabled by modern tools like containers and service orchestration platforms.
- For building microservices, Scala and the Akka toolkit are good choices as Akka supports core aspects of microservices like distributed actors, reactive programming, and event streaming. Its features help address issues in concurrent and distributed systems.
This document outlines workshops for building lightweight and high-performance distributed chat platforms using microservices. It discusses reactive development, microservices architecture, and related technologies like Vert.x, event buses, and Redis. The workshops demonstrate progressively more complex chat applications, starting with a single Vert.x chat server, then a clustered Vert.x chat server, and finally a distributed single Vert.x chat server using a message publishing microservice. Resources and contact information are provided at the end for learning more.
The Hardest Part of Microservices: Your Data - Christian Posta, Red HatAmbassador Labs
Christian Posta, principal architect at Red Hat discusses how to manage your data within a microservices architecture at the 2017 Microservices.com Practitioner Summit.
This document discusses using Kubernetes to implement highly reliable applications. It begins with an agenda that includes an overview of microservices, an introduction to Kubernetes, and using NodeRed and Kubernetes to build a chatbot. It then provides background on microservices architecture, explaining how applications have evolved from huge monolithic applications to independent microservices that can be deployed and updated more quickly. It introduces Kubernetes concepts like pods, deployments, statefulsets, daemonsets and jobs. It also discusses using Kubernetes to run NodeRed chatbot containers as a deployment, including load balancing, self-healing and scaling benefits. Challenges with logging and maintaining chat conversations across containers are noted.
This document discusses using Kubernetes to implement highly reliable applications. It begins with an introduction to microservices and containers. It then provides an overview of Kubernetes, including Kubernetes clusters, concepts like deployments and pods. It concludes by demonstrating running a NodeRed chatbot application on Kubernetes, comparing the Kubernetes architecture to a traditional VM architecture. The benefits of the Kubernetes approach for this application are around resource utilization, scalability, load balancing and self-healing.
Node.js is a JavaScript runtime environment that allows JavaScript to be run on the server side. It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient for data-intensive real-time applications that require persistent connections. Some common uses of Node.js include real-time web applications, building APIs, and handling multiple connections at once without creating new threads. The document discusses why Node.js is well-suited for applications that require maintaining persistent connections from the browser to send updates in real-time using techniques like long-polling.
Owain Perry (Just Giving) - Continuous Delivery of Windows Micro-Services in ...Outlyer
Owain will talk about the journey JustGiving.com have gone through to get to Continuous delivery on their Windows environment. He will talk about what they did, how they did it and lessons learned along the way
Video: https://www.youtube.com/watch?v=MVXaR6oEK60
Join DevOps Exchange London here: http://www.meetup.com/DevOps-Exchange-London
Follow DOXLON on twitter http://www.twitter.com/doxlon
Reactive applications and microservices with Vert.x tool-kitVictor Hugo
This document discusses reactive applications and microservices using the Vert.x toolkit. It defines reactive as responding quickly to stimuli. Reactive systems are responsive, rapid, resilient, and scalable. Microservices break applications into smaller, independent services. Vert.x is a toolkit that can build reactive and microservices applications. It is lightweight, fast, modular, and supports multiple programming languages. Vert.x allows building scalable, high-performance microservices and applications.
Henrique Rodrigues (NotOnTheHighStreet.com) - Building a Future-Proof Infrast...Outlyer
This document discusses the evolution of notonthehighstreet.com's infrastructure from a monolithic Ruby on Rails application hosted on over 150 physical and virtual servers, to a microservices architecture using Docker containers, Mesos for clustering, and Consul for service discovery and configuration management. The goals of the new architecture were to build a scalable, self-service infrastructure that allows for easy creation and management of new services. Key aspects of the implementation include using Docker to define service environments, Mesos for container orchestration, Consul as a configuration store, and ELK stack for logging. Ansible is used for configuration management and deploying services via integration with tools like Marathon and Jenkins.
Brian Ketelsen - Microservices in Go using Micro - Codemotion Milan 2017Codemotion
Go beyond the hype and dig into building microservices with the Go framework Micro (micro.mu). In this talk you’ll learn how to create and deploy microservices using the popular framework Micro, which was extracted out of experience running services at Google and Hailo. You’ll see services built from scratch and deployed to the cloud, as well as a demonstration of all the features Micro includes to manage your services when they’re in production.
The document outlines 7 rules for cloud-native development according to Solomon Hykes:
1. Think in terms of services rather than servers
2. Don't reinvent the wheel and leverage existing services
3. Avoid silos and have integrated, cross-functional teams working on products
4. Don't impose unnecessary restrictions that get in the way of developers
5. Start with standardized approaches and only customize later if needed
6. Enable rapid experimentation through a service-oriented architecture
7. Ship code changes daily to maximize speed and productivity
The document discusses ReactorKit, an architecture framework that uses RxSwift to help address issues like massive view controllers and cyclic data dependencies. It provides concise summaries of ReactorKit's key concepts including the Reactor pattern which separates business logic from views using a unidirectional data flow, and examples of how state changes and view actions flow through the different components.
eigr.io – a Serverless Runtime on the BEAM (ACM SIGPLAN, ICFP 2021 Erlang Wor...MarcelLanz
Serverless runtimes are often hidden in a cloud providers offering and exposed solely by their programming API and deployment procedures. In this talk, we’ll explore an open-source Serverless runtime built for the cloud and on-premises, running on the BEAM with a polyglot programming model to build general purpose applications.
Building general purpose applications using multiple languages and having a story how to handle state was our main motivation to explore the space of a Serverless runtime to be built. We think the BEAM, OTP and Elixir/Erlang are a perfect match to build on.
With this talk, we combine herein the world of the BEAM with cloud technology like a gRPC-based protocol, Kubernetes and a polyglot programming model with languages supported like Go, JavaScript, JVM-languages, Python and many more.
https://icfp21.sigplan.org/details/erlang-2021-papers/13/Lightning-Talk-eigr-io-A-Serverless-Runtime-on-the-BEAM
Vert.x is an asynchronous and non-blocking event-driven framework that allows building reactive applications on the JVM. It uses the reactor pattern and handles a large number of concurrent connections through asynchronous I/O without blocking threads. Applications can be written in Java or other JVM languages and deployed as microservices that communicate asynchronously through an event bus. This allows for easy horizontal scalability.
These are the slides from talk given by Mateusz Gajewski at AWS UG meeting in Warsaw. Content: Apache Mesos, Cluster Scheduling, Hybrid Environment, Scalability, Fault Tolerance.
This document discusses microservices architecture and its application to libraries. It begins by defining microservices and noting that libraries can benefit from a microservices approach to allow for increased innovation. It then covers traditional monolithic architectures and some of their limitations for scaling. The remainder of the document discusses moving from monolithic to microservices, including using containerization and DevOps practices. It provides examples of how microservices were used for complex workflows like audio/video ingest. It also covers testing, deployment strategies, security considerations and integrating microservices with existing systems.
This document discusses how an insurance company started using Go for various projects including a RichClient distribution system, business event monitoring, and an OCR solution. It describes some initial problems like network issues and slow performance that led them to use Go. It provides details on projects like a SOAP caller, indexing server, and client starter that were developed in Go to help distribute Java applications, monitor events, and index/distribute files. The document discusses benefits of Go like stability, easy deployment, and a nice development environment for solving their infrastructure problems compared to other options like Java.
This document introduces React for .NET developers. It provides a brief history of web development in .NET and discusses how React addresses the needs of modern users and developers. The core concepts of React like components, JSX, top-down data flow, and the virtual DOM are explained. ReactJS.NET is introduced as a way to use React with ASP.NET MVC. In summary, React provides fast load times, rich client functionality, and testable code while having a short learning curve and enabling reusability.
This document provides an overview of Azure Dev Spaces, which allows developers to share an Azure Kubernetes Service (AKS) cluster for building and testing applications. It discusses challenges with manually hosting Kubernetes clusters and benefits of AKS, which simplifies Kubernetes deployment and management. Azure Dev Spaces enables developers to test code end-to-end on an AKS cluster without needing to replicate or simulate dependencies. It also allows easy onboarding of new team members with minimal machine setup required. The document concludes with a demonstration of Azure Dev Spaces.
Building microservices web application using scala & akkaBinh Nguyen
- Microservices is an architectural style that structures an application as a collection of small, independent services that communicate with each other, often over the network. It can improve agility, scalability, and resilience.
- While challenging, microservices are worth pursuing due to benefits like improved iteration speed and engineer autonomy enabled by modern tools like containers and service orchestration platforms.
- For building microservices, Scala and the Akka toolkit are good choices as Akka supports core aspects of microservices like distributed actors, reactive programming, and event streaming. Its features help address issues in concurrent and distributed systems.
This document outlines workshops for building lightweight and high-performance distributed chat platforms using microservices. It discusses reactive development, microservices architecture, and related technologies like Vert.x, event buses, and Redis. The workshops demonstrate progressively more complex chat applications, starting with a single Vert.x chat server, then a clustered Vert.x chat server, and finally a distributed single Vert.x chat server using a message publishing microservice. Resources and contact information are provided at the end for learning more.
The Hardest Part of Microservices: Your Data - Christian Posta, Red HatAmbassador Labs
Christian Posta, principal architect at Red Hat discusses how to manage your data within a microservices architecture at the 2017 Microservices.com Practitioner Summit.
This document discusses using Kubernetes to implement highly reliable applications. It begins with an agenda that includes an overview of microservices, an introduction to Kubernetes, and using NodeRed and Kubernetes to build a chatbot. It then provides background on microservices architecture, explaining how applications have evolved from huge monolithic applications to independent microservices that can be deployed and updated more quickly. It introduces Kubernetes concepts like pods, deployments, statefulsets, daemonsets and jobs. It also discusses using Kubernetes to run NodeRed chatbot containers as a deployment, including load balancing, self-healing and scaling benefits. Challenges with logging and maintaining chat conversations across containers are noted.
This document discusses using Kubernetes to implement highly reliable applications. It begins with an introduction to microservices and containers. It then provides an overview of Kubernetes, including Kubernetes clusters, concepts like deployments and pods. It concludes by demonstrating running a NodeRed chatbot application on Kubernetes, comparing the Kubernetes architecture to a traditional VM architecture. The benefits of the Kubernetes approach for this application are around resource utilization, scalability, load balancing and self-healing.
Node.js meetup at Palo Alto Networks Tel AvivRon Perlmuter
This document discusses Node.js and related technologies. It begins by advertising job opportunities for Node.js developers at Palo Alto Networks in Tel Aviv. It then lists contact information for several people, including Yaron Biton and Amir Jerbi. The document goes on to cover topics like concurrency in Node.js, microservices, and Docker.
AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture P...Amazon Web Services
Gilt, a global e-commerce company, implemented a sophisticated microservices architecture on AWS to handle millions of customers visiting their site at noon every day. The microservices architecture pattern enables independent service scaling, faster deployments, better fault isolation, and graceful degradation. In this session, Emerson Loureiro, Sr. Software Engineer at Gilt, will share Gilt's experiences and lessons learned during their evolution from a single monolithic Rails application in a traditional data center to more than 300 Scala/Java microservices deployed in the cloud. Derek Chiles, AWS Solutions Architect, will review best practices and recommended architectures for deploying microservices on AWS.
Top 10 Technology Trends Changing Developer's LandscapeArun Gupta
The document discusses 10 emerging technology trends that are changing the developer landscape:
1. Containers are being used as a lightweight alternative to virtual machines for packaging, deploying, and scaling applications. Container orchestration frameworks like Docker and Kubernetes are emerging.
2. Microservices architectures break applications into small, independent services that communicate over HTTP. This enables independent deployment and scaling of services.
3. DevOps practices like continuous integration/deployment, automation, and collaboration between development and operations are becoming standard.
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 document provides an overview of Docker and cloud native training presented by Brian Christner of 56K.Cloud. It includes an agenda for Docker labs, common IT struggles Docker can address, and 56K.Cloud's consulting and training services. It discusses concepts like containers, microservices, DevOps, infrastructure as code, and cloud migration. It also includes sections on Docker architecture, networking, volumes, logging, and monitoring tools. Case studies and examples are provided to demonstrate how Docker delivers speed, agility, and cost savings for application development.
In recent years, Docker containers have become a key component of modern application design. Increasingly, developers are breaking their applications apart into smaller components and distributing them across a pool of compute resources. Using Docker on your local development machine is simple, but running Docker applications at scale in production can be difficult. In this session, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens. We will give an overview of the core architectural principles underlying Amazon ECS., and we will walk through a number of patterns used by our customers to run their microservices platforms, to run batch jobs, and for deployments and continuous integration. We will also demonstrate how to define multi-container applications, deploy and scale them seamlessly on a cluster with Amazon ECS.
IBM and Node.js - Old Doge, New TricksDejan Glozic
The document discusses IBM's transition from older enterprise stacks like Java and SQL to newer technologies like Node.js, NoSQL, and microservices. It describes motivations for the change like yearly release cycles, large teams, and running products on-premise. It then covers specifics of the transition, including moving from Dojo/Dijit to jQuery/Bootstrap on the client side, using Node.js and WebSockets for real-time updates, adopting a microservices architecture, switching from SQL to NoSQL databases, and addressing challenges that arise from the new approaches.
Ben Golub argues that while virtual machines (VMs) solved earlier problems of server consolidation, containers provide a better solution for modern application development and deployment needs. Containers offer several advantages over VMs, including faster provisioning, greater density, near bare-metal performance, and more flexibility. Golub outlines how Docker addresses earlier issues with containers by making them lightweight, standardized, interoperable and easy to automate across environments. This allows applications to be packaged and run consistently regardless of infrastructure. Golub believes containers allow for a better separation of application management from infrastructure management compared to VMs.
DevOps in Practices document provides an overview of DevOps practices and microservice architecture. It discusses that DevOps aims to reduce the time between introducing changes to a system and deploying those changes in a production environment. Microservices architecture breaks applications into smaller, independent services that are built around business capabilities. Netflix is highlighted as an example that pioneered this approach at a large scale using AWS. Key aspects of DevOps like continuous integration, infrastructure as code, and automated testing are explained in the context of enabling faster delivery with microservices.
This document provides an overview and agenda for a presentation on microservice architecture. It begins with defining microservices as small, independent applications that communicate via APIs. It then gives an example of how the Dropwizard framework can be used to build production-ready microservices. The remainder of the document outlines five requirements for an internal loan underwriting system and how each could be implemented as an independent microservice. It discusses tooling, deployment strategies, testing approaches, and concludes with a discussion of the Unix philosophy and how it relates to microservices.
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.
Stay productive while slicing up the monolithMarkus Eisele
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
Daniel Raisch - raisch@br.ibm.com
Passados dez 10 do ínício do se convencionou chamar de Transformação Digital, as principais iniciativas que caracterizam essa transformação como Cloud, Mobile, Analytics , atingiram sua maturidade e já estão na agenda de prioridades de mais de 70% das empresas brasileiras. Nessa apresentação vamos mostrar a curva de evolução dessas iniciativas ao longo desse período e qual o estado da arte em que cada uma se encontra na indústria.
Two parts:
1. The evolution of Joyent's SmartDataCenter cloud infrastructure management software from a largely monolithic app to a microservices architecture.
2. How container infrastructure enables microservices.
More details in http://www.meetup.com/cloudclub/events/220026896/
Following simple patterns of good application design can allow you to scale your application for your customers easily. This presentation dives into the 12 factor application design and demo how this applies to containers and deployments on Amazon ECS and Fargate. We'll take a look at tooling that can be used to simplify your workflow and help you adopt the principles of the 12 factor application.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
8. Microservices
Physical Server
VM VM VM VM
Hypervisor
Physical Server
Software Program
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28. • Where does the company stand?
• Dev, Ops, DevOps?
• Testing Environments?
• Containers on VMs?
Typical Things to Think about…
Containers Might Ultimately Replace VMs
(Cans Might Ultimately Replace Fridges)
Consulting inwinSTACK
can’t go wrong.