Adventureswith micro services
•
2 likes•2,450 views
This document discusses microservices and the authors' experiences with them. It begins by defining microservices as small, independent, composable services that each perform a single function. It notes benefits like improved flexibility, reuse, and ability to change individual services without impacting the whole. It then describes the authors' experiences deploying over 25 microservices across 60+ virtual machines using continuous delivery and deployment enabled by CI/CD pipelines. It also discusses some design considerations and tradeoffs of the microservices approach.
Report
Share
Report
Share
Download to read offline
Recommended
Profit Maximization for Cloud Brokers in Cloud Computing
The document discusses how cloud brokers can maximize profits by acting as intermediaries between cloud providers and users. It proposes that brokers rent reserved VMs from providers at good prices and offer them to users on-demand at cheaper prices than providers. This allows brokers to reduce user costs while earning profits from price differences. The document presents a model to optimize broker configuration and VM pricing to maximize profit based on factors like user demand, purchase/sale prices, and broker scale. A heuristic method is introduced to solve the optimization problem using partial derivatives and bisection search.
Docker
Managing Development Environment
To Setup Development Environment, that can be installed without any dependencies and run in few seconds using docker.
Docker enables agile_devops
Docker enables new agile practices by allowing developers to work in environments that closely match production. However, DevOps thought leaders must determine how Docker adoption fits with their organization's culture and ensure it leads to business benefits like increased velocity without disrupting existing processes and tools. While Docker shows promise for accelerating development and operations, its impact on an organization depends on how well leaders apply agile and DevOps principles during implementation.
DevOps Con 2015: Radical Agility with Autonomous Teams and Microservices in t...
This document summarizes a talk on "Radical Agility with Autonomous Teams and Microservices in the Cloud" given by Henning Jacobs and Jan Löffler from Zalando. It discusses how Zalando has adopted a microservices architecture and autonomous DevOps teams to manage the complexity of operating a large e-commerce business across Europe. The talk focuses on how microservices and cloud infrastructure enable faster development and system scalability while reducing dependencies between teams. It also describes Zalando's approach to DevOps, where it is treated as a "first-class entity" and teams have a high degree of autonomy.
Containers in production with Docker, CoreOS, Kubernetes and Apache Stratos
The document provides an overview of Apache Stratos, a platform-as-a-service framework that can run applications using containers. It discusses how Stratos supports Docker, CoreOS, Kubernetes, and container-based application deployment and management. Key features of Stratos like composite application support, multi-factor auto-scaling, load balancing, and cloud bursting are also summarized. The presentation ends with a demo of Docker and Kubernetes integration with auto-scaling capabilities in Stratos.
Project Sputnik - Driving Innovation at a large company
The story of Project Sputnik, the line of Linux-based developer laptops and mobile workstations from Dell. Lessons learned from innovating at a large company and how direct community involvement drove this effort from project to product.
Powering Radical Agility with Docker
Zalando's Jan Mußler points out how Docker helps to foster team autonomy while complying with company regulations. As an example he shows how Zalando Tech deploys onto its microservices infrastructure by using their open source platform STUPS (stups.io) along with Docker in their continuous delivery strategy.
https://tech.zalando.com
PuppetConf 2016: Continuous Delivery and DevOps with Jenkins and Puppet Enter...
This document discusses continuous delivery and DevOps practices using Jenkins and Puppet. It defines DevOps as addressing security at every stage and having high-performing teams that spend less time fixing issues. It also discusses the DevOps trinity of people, processes, and tools. Jenkins Pipelines and infrastructure as code with Puppet are presented as key practices for continuous delivery. The integration of Jenkins and Puppet Enterprise is demonstrated for automating application deployments.
Recommended
Profit Maximization for Cloud Brokers in Cloud Computing
The document discusses how cloud brokers can maximize profits by acting as intermediaries between cloud providers and users. It proposes that brokers rent reserved VMs from providers at good prices and offer them to users on-demand at cheaper prices than providers. This allows brokers to reduce user costs while earning profits from price differences. The document presents a model to optimize broker configuration and VM pricing to maximize profit based on factors like user demand, purchase/sale prices, and broker scale. A heuristic method is introduced to solve the optimization problem using partial derivatives and bisection search.
Docker
Managing Development Environment
To Setup Development Environment, that can be installed without any dependencies and run in few seconds using docker.
Docker enables agile_devops
Docker enables new agile practices by allowing developers to work in environments that closely match production. However, DevOps thought leaders must determine how Docker adoption fits with their organization's culture and ensure it leads to business benefits like increased velocity without disrupting existing processes and tools. While Docker shows promise for accelerating development and operations, its impact on an organization depends on how well leaders apply agile and DevOps principles during implementation.
DevOps Con 2015: Radical Agility with Autonomous Teams and Microservices in t...
This document summarizes a talk on "Radical Agility with Autonomous Teams and Microservices in the Cloud" given by Henning Jacobs and Jan Löffler from Zalando. It discusses how Zalando has adopted a microservices architecture and autonomous DevOps teams to manage the complexity of operating a large e-commerce business across Europe. The talk focuses on how microservices and cloud infrastructure enable faster development and system scalability while reducing dependencies between teams. It also describes Zalando's approach to DevOps, where it is treated as a "first-class entity" and teams have a high degree of autonomy.
Containers in production with Docker, CoreOS, Kubernetes and Apache Stratos
The document provides an overview of Apache Stratos, a platform-as-a-service framework that can run applications using containers. It discusses how Stratos supports Docker, CoreOS, Kubernetes, and container-based application deployment and management. Key features of Stratos like composite application support, multi-factor auto-scaling, load balancing, and cloud bursting are also summarized. The presentation ends with a demo of Docker and Kubernetes integration with auto-scaling capabilities in Stratos.
Project Sputnik - Driving Innovation at a large company
The story of Project Sputnik, the line of Linux-based developer laptops and mobile workstations from Dell. Lessons learned from innovating at a large company and how direct community involvement drove this effort from project to product.
Powering Radical Agility with Docker
Zalando's Jan Mußler points out how Docker helps to foster team autonomy while complying with company regulations. As an example he shows how Zalando Tech deploys onto its microservices infrastructure by using their open source platform STUPS (stups.io) along with Docker in their continuous delivery strategy.
https://tech.zalando.com
PuppetConf 2016: Continuous Delivery and DevOps with Jenkins and Puppet Enter...
This document discusses continuous delivery and DevOps practices using Jenkins and Puppet. It defines DevOps as addressing security at every stage and having high-performing teams that spend less time fixing issues. It also discusses the DevOps trinity of people, processes, and tools. Jenkins Pipelines and infrastructure as code with Puppet are presented as key practices for continuous delivery. The integration of Jenkins and Puppet Enterprise is demonstrated for automating application deployments.
Deploying and Testing Microservices
Sam Newman is a technologist at ThoughtWorks. This talk from FlowCon 2014 goes into the nitty gritty of managing build, test and release of microservices and also covers the often ignored tradeoff between testing before deployment, and testing afterwards.
V mware thin app 4.5 customer presentation
Download & Share Technology
Presentations http://ouo.io/XKLUj
Student Guide & Best http://ouo.io/8u1RP
Radical Agility with Autonomous Teams and Microservices in the Cloud
A talk by software engineers Jan Löffler and Henning Jacobs on Zalando's adoption of microservices, cloud computing and autonomous teams. Zalando is Europe's largest online fashion platform, doing business in 15 countries with more than 15 million users. Visit tech.zalando.com for more information about Zalando's technology, open source projects and opportunities.
Testing strategies for micro services - Ketan Soni, Jesal Mistry, ThoughtWorks
This document discusses strategies for testing microservices architectures. It introduces microservices as an architectural style where applications are composed of small, independent services. The key challenges in testing microservices include complexity from distributed systems and inter-service communication. The document advocates a bottom-up testing approach starting with unit tests, then contract, integration, UI, consumer-driven contract, and finally exploratory manual testing. It provides examples of how to structure tests at each level of the test pyramid to comprehensively test microservices applications.
Push The Button with Continuous Delivery: Sam Newman Continuous Delivery Prac...
Push the limits and gain a competitive edge with frequent and reliable releases of new functionality using continuous delivery
DevOps, Microservices and containers - a high level overview
DevOps, microservices, and containers enable digital transformation by allowing organizations to develop software faster and deploy it more reliably. This is achieved through a DevOps methodology and culture that emphasizes automation, continuous integration and delivery, and monitoring. Microservices break applications into independently deployable components that can be developed and scaled independently. Containers package applications and dependencies to ensure consistency between development, testing, and production. Dell is adopting these approaches internally and offering related services and technologies like OpenShift to help customers with their digital transformations.
DevOps, containers & microservices: Separating the hype from the reality
In this talk, Donnie shared what he's seen and what he predicts for the future of how we build and deploy applications to generate business value. You'll hear buzzwords like DevOps, Docker, and microservices used in ways that actually make sense (for a change), see real-world examples of companies that have succeeded at the leading edge, and learn how approaches like the one taken by HashiCorp's Terraform (by the authors of Vagrant) will be critical to the future of how we build software.
Serverless Data Architecture at scale on Google Cloud Platform - Lorenzo Ridi...
This document discusses processing tweets about Black Friday using serverless data architecture on Google Cloud Platform. It describes:
1) Using Google Cloud Pub/Sub to ingest tweets in real-time and guarantee delivery at scale.
2) Running a Python application that filters tweets and publishes them to a Pub/Sub topic using containers and Kubernetes for scalability.
3) Building a Cloud Dataflow pipeline that reads from Pub/Sub, formats tweets, analyzes sentiment with Natural Language API, and writes results to BigQuery for querying and visualization.
A new model for Docker image distribution
This document provides an overview of Docker Registry 2.0, which implements a new API (V2) for distributing Docker images. The key points are:
1) Registry API V1 had problems with performance, security, and implementation; API V2 addresses these with a content-addressable, cryptographically verifiable model.
2) API V2 treats image layers as content-addressable blobs identified by cryptographic digests, allowing for independent verification.
3) Manifests describe the components of an image in a single object, allowing layers to be fetched in parallel for better performance.
4) The implementation of API V2 in Docker Registry 2.0 has improved pull performance and security while
Docker Datacenter Overview and Production Setup Slides
An overview on Docker Data Center and Universal Control Plane. We will cover how to install for production and integrate Docker Trusted Registry.
Led by DDC + UCP Champ:
Vivek Saraswat
Experience Level: Attendees need no prior experience with Docker, but should be familiar with basic linux command-line.
DevOps
The document discusses the roles and relationships between development (Dev) and operations (Ops) teams, and introduces the DevOps approach. It notes that traditionally there has been a disconnect between Devs and Ops that results in inefficiencies. DevOps aims to bridge this gap through a collaborative mindset and practices like automating infrastructure provisioning and deployments, implementing continuous integration/delivery, monitoring metrics, and breaking down silos between teams. Specific tools mentioned that support DevOps include Puppet for configuration management and Autobahn for continuous deployment.
Introducing DevOps
This ppt is an attempt to give a short intro on DevOps. This will be updated as my knowledge level also improves.
Docker introduction
Docker is a system for running applications in isolated containers. It addresses issues with traditional virtual machines by providing lightweight containers that share resources and allow applications to run consistently across different environments. Docker eliminates inconsistencies in development, testing and production environments. It allows applications and their dependencies to be packaged into a standardized unit called a container that can run on any Linux server. This makes applications highly portable and improves efficiency across the entire development lifecycle.
Docker Registry V2
This document discusses Docker Registry API V2, a new model for image distribution that addresses limitations in the previous V1 API. Key changes include making layers content-addressable using cryptographic digests for identification and verification. Images are now described by manifests containing layer digests. The registry stores content in repositories and no longer exposes internal image details. Early adoption shows V2 providing significantly better performance than V1 with 80% fewer requests and 60% less bandwidth used. Future goals include improving documentation, adding features like pull-through caching, and developing the Docker distribution components to provide a foundation for more advanced distribution models.
7 Dimensions of Agile Analytics by Ken Collier
We are in the midst of an exciting time. There is an explosion of very interesting data, and emergence of powerful new technologies for harnessing data, and devices that enable humans to receive tremendous benefits from it. What is required are innovative processes that enable the creation and delivery of value from all of that data. More often than not, it is the predictive (what will happen?) and prescriptive (how to make it happen!) analytics that produces this value, not the raw data itself. Agile software teams are continuously involved in projects that involve rich, complex, and messy data. Often this data represents innovative analytics opportunities. Being analytics-aware gives these teams the opportunity to collaborate with stakeholders to innovate by creating additional value from the data. This session is aimed at making Agile software teams more analytics-aware so that they will recognize these innovation opportunities. The trouble with conventional analytics (like conventional software development) is that it involves long, phased, sequential steps that take too long and fail to deliver actionable results. This deck will examine the convergence of the following elements of an exciting emerging field called Agile Analytics:
sophisticated analytics techniques, plus
lean learning principles, plus
agile delivery methods, plus
so-called "big data" technologies
Learn:
The analytical modeling process and techniques
How analytical models are deployed using modern technologies
The complexities of data discovery, harvesting, and preparation
How to apply agile techniques to shorten the analytics development cycle
How to apply lean learning principles to develop actionable and valuable analytics.
Docker 101: Introduction to Docker
This document provides an introduction to Docker. It discusses why Docker is useful for isolation, being lightweight, simplicity, workflow, and community. It describes the Docker engine, daemon, and CLI. It explains how Docker Hub provides image storage and automated builds. It outlines the Docker installation process and common workflows like finding images, pulling, running, stopping, and removing containers and images. It promotes Docker for building local images and using host volumes.
Adventures with Microservices
I have spent some time working on a project, and built 8 micro services and 2 applications, and planned to carve out a few more. Deployment was carried out in a farm of 25 servers in production with a single click in less than 3 minutes.
This presentation is about the experiences with building a micro service based architecture - the good, the bad and the ugly.
- What are micro services?
- When/Why/How micro services?
- Why NOT micro services?
- Managing Continuous Integration and Continuous Delivery with micro services
- A few design principles that we followed and that worked for us
Microservices rubyconf-2013
- Microservices are small, independent services that each perform a single function. They communicate through well-defined interfaces using protocols like HTTP. This allows for independent development and scaling of each service.
- The advantages of microservices include increased flexibility, scalability, and allowing a system to evolve more easily. However, they also introduce more complex infrastructure requirements and can result in fragmented data.
- The presentation provides examples of how microservices can be implemented incrementally by starting with high-level services and extracting smaller ones over time as needed. It also emphasizes the importance of testing, automation, and other DevOps practices for managing microservices architectures.
The Yin and Yang of Software
The document discusses emerging trends in software and services including:
1) Software as a Service and cloud computing which allows software to be delivered and consumed "as a service" with service level agreements.
2) The growth of massive data centers which are becoming large physical assets requiring significant capital expenditures.
3) The rise of "Dev-signers" or designer-developers who are combining development and design skills.
4) The integration of software and services will be key as local software interacts with internet services to provide combined capabilities.
Service as-a-software
- Service-as-a-Software (SaaS) is about enabling the consumption of physical services through machine-readable software instructions.
- When the Massachusetts Department of Transportation shared its data through APIs, developers quickly built many useful apps for different groups.
- SaaS allows services to be integrated into the specific activities people want to accomplish, rather than requiring separate search, purchase, and use steps. Commerce and services can be directly tied to user goals.
MongoDB @ Viacom
How do you build a general purpose data collection tool that can be integrated into 100+ sites, handle 15,000 1K writes/second, and have nearly zero downtime? How do you do that and have an architecture virtually unchanged for 3+ years? Start with using Mongo. Michael Makunas and Ramesh Nuthalapati from Viacom Media Networks, home of MTV, Comedy Central, Nickelodeon, and dozens of other brands, detail the architecture of the voting, polling, and data collection system that powers everything from voting for the MTV Video Music Awards, to sliming celebrities at the Nickelodeon Kids Choice Awards, to contests to meet Miley Cyrus.
More Related Content
Viewers also liked
Deploying and Testing Microservices
Sam Newman is a technologist at ThoughtWorks. This talk from FlowCon 2014 goes into the nitty gritty of managing build, test and release of microservices and also covers the often ignored tradeoff between testing before deployment, and testing afterwards.
V mware thin app 4.5 customer presentation
Download & Share Technology
Presentations http://ouo.io/XKLUj
Student Guide & Best http://ouo.io/8u1RP
Radical Agility with Autonomous Teams and Microservices in the Cloud
A talk by software engineers Jan Löffler and Henning Jacobs on Zalando's adoption of microservices, cloud computing and autonomous teams. Zalando is Europe's largest online fashion platform, doing business in 15 countries with more than 15 million users. Visit tech.zalando.com for more information about Zalando's technology, open source projects and opportunities.
Testing strategies for micro services - Ketan Soni, Jesal Mistry, ThoughtWorks
This document discusses strategies for testing microservices architectures. It introduces microservices as an architectural style where applications are composed of small, independent services. The key challenges in testing microservices include complexity from distributed systems and inter-service communication. The document advocates a bottom-up testing approach starting with unit tests, then contract, integration, UI, consumer-driven contract, and finally exploratory manual testing. It provides examples of how to structure tests at each level of the test pyramid to comprehensively test microservices applications.
Push The Button with Continuous Delivery: Sam Newman Continuous Delivery Prac...
Push the limits and gain a competitive edge with frequent and reliable releases of new functionality using continuous delivery
DevOps, Microservices and containers - a high level overview
DevOps, microservices, and containers enable digital transformation by allowing organizations to develop software faster and deploy it more reliably. This is achieved through a DevOps methodology and culture that emphasizes automation, continuous integration and delivery, and monitoring. Microservices break applications into independently deployable components that can be developed and scaled independently. Containers package applications and dependencies to ensure consistency between development, testing, and production. Dell is adopting these approaches internally and offering related services and technologies like OpenShift to help customers with their digital transformations.
DevOps, containers & microservices: Separating the hype from the reality
In this talk, Donnie shared what he's seen and what he predicts for the future of how we build and deploy applications to generate business value. You'll hear buzzwords like DevOps, Docker, and microservices used in ways that actually make sense (for a change), see real-world examples of companies that have succeeded at the leading edge, and learn how approaches like the one taken by HashiCorp's Terraform (by the authors of Vagrant) will be critical to the future of how we build software.
Serverless Data Architecture at scale on Google Cloud Platform - Lorenzo Ridi...
This document discusses processing tweets about Black Friday using serverless data architecture on Google Cloud Platform. It describes:
1) Using Google Cloud Pub/Sub to ingest tweets in real-time and guarantee delivery at scale.
2) Running a Python application that filters tweets and publishes them to a Pub/Sub topic using containers and Kubernetes for scalability.
3) Building a Cloud Dataflow pipeline that reads from Pub/Sub, formats tweets, analyzes sentiment with Natural Language API, and writes results to BigQuery for querying and visualization.
A new model for Docker image distribution
This document provides an overview of Docker Registry 2.0, which implements a new API (V2) for distributing Docker images. The key points are:
1) Registry API V1 had problems with performance, security, and implementation; API V2 addresses these with a content-addressable, cryptographically verifiable model.
2) API V2 treats image layers as content-addressable blobs identified by cryptographic digests, allowing for independent verification.
3) Manifests describe the components of an image in a single object, allowing layers to be fetched in parallel for better performance.
4) The implementation of API V2 in Docker Registry 2.0 has improved pull performance and security while
Docker Datacenter Overview and Production Setup Slides
An overview on Docker Data Center and Universal Control Plane. We will cover how to install for production and integrate Docker Trusted Registry.
Led by DDC + UCP Champ:
Vivek Saraswat
Experience Level: Attendees need no prior experience with Docker, but should be familiar with basic linux command-line.
DevOps
The document discusses the roles and relationships between development (Dev) and operations (Ops) teams, and introduces the DevOps approach. It notes that traditionally there has been a disconnect between Devs and Ops that results in inefficiencies. DevOps aims to bridge this gap through a collaborative mindset and practices like automating infrastructure provisioning and deployments, implementing continuous integration/delivery, monitoring metrics, and breaking down silos between teams. Specific tools mentioned that support DevOps include Puppet for configuration management and Autobahn for continuous deployment.
Introducing DevOps
This ppt is an attempt to give a short intro on DevOps. This will be updated as my knowledge level also improves.
Docker introduction
Docker is a system for running applications in isolated containers. It addresses issues with traditional virtual machines by providing lightweight containers that share resources and allow applications to run consistently across different environments. Docker eliminates inconsistencies in development, testing and production environments. It allows applications and their dependencies to be packaged into a standardized unit called a container that can run on any Linux server. This makes applications highly portable and improves efficiency across the entire development lifecycle.
Docker Registry V2
This document discusses Docker Registry API V2, a new model for image distribution that addresses limitations in the previous V1 API. Key changes include making layers content-addressable using cryptographic digests for identification and verification. Images are now described by manifests containing layer digests. The registry stores content in repositories and no longer exposes internal image details. Early adoption shows V2 providing significantly better performance than V1 with 80% fewer requests and 60% less bandwidth used. Future goals include improving documentation, adding features like pull-through caching, and developing the Docker distribution components to provide a foundation for more advanced distribution models.
7 Dimensions of Agile Analytics by Ken Collier
We are in the midst of an exciting time. There is an explosion of very interesting data, and emergence of powerful new technologies for harnessing data, and devices that enable humans to receive tremendous benefits from it. What is required are innovative processes that enable the creation and delivery of value from all of that data. More often than not, it is the predictive (what will happen?) and prescriptive (how to make it happen!) analytics that produces this value, not the raw data itself. Agile software teams are continuously involved in projects that involve rich, complex, and messy data. Often this data represents innovative analytics opportunities. Being analytics-aware gives these teams the opportunity to collaborate with stakeholders to innovate by creating additional value from the data. This session is aimed at making Agile software teams more analytics-aware so that they will recognize these innovation opportunities. The trouble with conventional analytics (like conventional software development) is that it involves long, phased, sequential steps that take too long and fail to deliver actionable results. This deck will examine the convergence of the following elements of an exciting emerging field called Agile Analytics:
sophisticated analytics techniques, plus
lean learning principles, plus
agile delivery methods, plus
so-called "big data" technologies
Learn:
The analytical modeling process and techniques
How analytical models are deployed using modern technologies
The complexities of data discovery, harvesting, and preparation
How to apply agile techniques to shorten the analytics development cycle
How to apply lean learning principles to develop actionable and valuable analytics.
Docker 101: Introduction to Docker
This document provides an introduction to Docker. It discusses why Docker is useful for isolation, being lightweight, simplicity, workflow, and community. It describes the Docker engine, daemon, and CLI. It explains how Docker Hub provides image storage and automated builds. It outlines the Docker installation process and common workflows like finding images, pulling, running, stopping, and removing containers and images. It promotes Docker for building local images and using host volumes.
Viewers also liked (17)
Radical Agility with Autonomous Teams and Microservices in the Cloud
Radical Agility with Autonomous Teams and Microservices in the Cloud
Testing strategies for micro services - Ketan Soni, Jesal Mistry, ThoughtWorks
Testing strategies for micro services - Ketan Soni, Jesal Mistry, ThoughtWorks
Push The Button with Continuous Delivery: Sam Newman Continuous Delivery Prac...
Push The Button with Continuous Delivery: Sam Newman Continuous Delivery Prac...
DevOps, Microservices and containers - a high level overview
DevOps, Microservices and containers - a high level overview
DevOps, containers & microservices: Separating the hype from the reality
DevOps, containers & microservices: Separating the hype from the reality
Serverless Data Architecture at scale on Google Cloud Platform - Lorenzo Ridi...
Serverless Data Architecture at scale on Google Cloud Platform - Lorenzo Ridi...
Docker Datacenter Overview and Production Setup Slides
Docker Datacenter Overview and Production Setup Slides
Similar to Adventureswith micro services
Adventures with Microservices
I have spent some time working on a project, and built 8 micro services and 2 applications, and planned to carve out a few more. Deployment was carried out in a farm of 25 servers in production with a single click in less than 3 minutes.
This presentation is about the experiences with building a micro service based architecture - the good, the bad and the ugly.
- What are micro services?
- When/Why/How micro services?
- Why NOT micro services?
- Managing Continuous Integration and Continuous Delivery with micro services
- A few design principles that we followed and that worked for us
Microservices rubyconf-2013
- Microservices are small, independent services that each perform a single function. They communicate through well-defined interfaces using protocols like HTTP. This allows for independent development and scaling of each service.
- The advantages of microservices include increased flexibility, scalability, and allowing a system to evolve more easily. However, they also introduce more complex infrastructure requirements and can result in fragmented data.
- The presentation provides examples of how microservices can be implemented incrementally by starting with high-level services and extracting smaller ones over time as needed. It also emphasizes the importance of testing, automation, and other DevOps practices for managing microservices architectures.
The Yin and Yang of Software
The document discusses emerging trends in software and services including:
1) Software as a Service and cloud computing which allows software to be delivered and consumed "as a service" with service level agreements.
2) The growth of massive data centers which are becoming large physical assets requiring significant capital expenditures.
3) The rise of "Dev-signers" or designer-developers who are combining development and design skills.
4) The integration of software and services will be key as local software interacts with internet services to provide combined capabilities.
Service as-a-software
- Service-as-a-Software (SaaS) is about enabling the consumption of physical services through machine-readable software instructions.
- When the Massachusetts Department of Transportation shared its data through APIs, developers quickly built many useful apps for different groups.
- SaaS allows services to be integrated into the specific activities people want to accomplish, rather than requiring separate search, purchase, and use steps. Commerce and services can be directly tied to user goals.
MongoDB @ Viacom
How do you build a general purpose data collection tool that can be integrated into 100+ sites, handle 15,000 1K writes/second, and have nearly zero downtime? How do you do that and have an architecture virtually unchanged for 3+ years? Start with using Mongo. Michael Makunas and Ramesh Nuthalapati from Viacom Media Networks, home of MTV, Comedy Central, Nickelodeon, and dozens of other brands, detail the architecture of the voting, polling, and data collection system that powers everything from voting for the MTV Video Music Awards, to sliming celebrities at the Nickelodeon Kids Choice Awards, to contests to meet Miley Cyrus.
Develop in ludicrous mode with azure serverless
Today, every one of us wants to get things done fast. The fact of the matter is Serverless is a fantastic platform for doing things fast. Because, with Serverless, you really don’t have time to waste in terms of delivering your business value. Turns out you can with the right cloud services. In this talk we’ll create a microservice using Azure Functions and also get introduced to bigger picture of serverless computing.
I presented this session in Global Azure Bootcamp 2019 in Dublin. #GlobalAzure #AzureFunctions #Serverless
Richardrodger nodeday-2014-final
This talk is an appeal to server-side JavaScript developers to make
use of this time of change - Node.js is going to become the primary
server-side platform for most developers. We can move forward from
the old way of building web apps as large inter-locking co-dependent
code bases.
The Node.js module system has shown us the way. It's the first
step. Now, we need to use the beauty of Node modules to help us build
robust, scalable apps.
This approach is called the Micro-Services Architecture. It's more
than just having some services with HTTP end-points. It's about taking
this to the extreme. Everything is a service, and no service is larger
than 100 lines of code.
We've been using this approach for most of our projects for the last 18
months and it works really well. We get to drop loads of
project management ceremony. There will be some customer war stories.
Richardrodger nodeday-2014-final
Enterprise software teams are starting to understand and embrace the
power of Node.js. They face a serious challenge: integrating Node.js
into the legacy systems they maintain, and migrating these system over
time into Node.js architectures. This talk is a pathfinder for those
facing this task. As a community we must proactively engage with the
Java and .Net communities, and create a deeper understanding of the
"Node.js Way".
Let's talk about... Microservices
It's easy to say... Microservices! Reality is we need to learn and apply concepts coming from many disciplines like SOA, EDA and DDD just to name a few! Mix them with some ALM and technical processes around Packaging and Deploying... and maybe then you get a true Microservices solution.
Microservices for performance - GOTO Chicago 2016
How do Microservices and Trading Systems overlap?
How can one area learn from the other?
How can we test components of microservices?
Is there a library which helps us implement and test these services?
Create Your Future with z Systems Cloud
The document discusses how the mainframe remains relevant despite predictions that it would become obsolete. It provides examples of how the mainframe continues to process a large volume of transactions and data efficiently. It then summarizes IBM's DevOps solutions for modernizing mainframe development and discusses how technologies like blockchain, analytics and APIs can help expose mainframe capabilities and drive innovation.
SOA, Microservices and Event Driven Architecture
Microservices, event-driven architecture, and service orientation were discussed in the document. The key points covered included:
1) Microservices were developed as a reaction to monolithic architectures that had slow evolution due to poor design.
2) Splitting systems into services does not always provide proper decoupling, and can introduce accidental complexity from distributed service integration if not done properly.
3) Asynchronous event-driven communication using messages is preferable to synchronous request-response for loosely coupled microservices, as it avoids many of the issues that arise from distributed transactions.
Exploring Twitter's Finagle technology stack for microservices
This document summarizes a presentation about Finagle, Twitter's microservices technology stack. It discusses how Finagle addresses challenges with microservices like service discovery, load balancing, and request tracing across services. It presents Finagle's core abstractions like Futures, Services, and Filters. Services represent both clients and servers, and Filters can add functionality like retries and timeouts. The document also mentions Twitter Server, a framework for building Finagle-based servers that handles flags, logging, metrics and admin interfaces. Finally, it briefly introduces Finatra, which builds on Finagle and Twitter Server and adds features like dependency injection and routing.
Devoxx London 2017 - Rethinking Services With Stateful Streams
Microservices are one of those polarising concepts that technologists either love or hate. Splitting applications into autonomous units clearly has advantages, but larger service-based systems tend to struggle as the interactions between the services grow.
At the core of this sits a dichotomy: Data systems are designed to make data as accessible as possible. Services, on the other hand, actively encapsulate. These two forces inevitably compete in the architectures we build. By understanding this dichotomy we can better reason about how services should be sewn together. We strike a balance between the ability to adapt quickly and the loose coupling we need to retain autonomy, long term.
In this talk we'll examine how Stateful Stream Processing can be used to build Event Driven Services, using a distributed log like Apache Kafka. In doing so this Data-Dichotomy is balanced with an architecture that exhibits demonstrably better scaling properties, be it increased complexity, team size, data volume or velocity.
.Net Microservices with Event Sourcing, CQRS, Docker and... Windows Server 20...
Good technical practices you can follow with (micro)services but can be applied to almost anything: discovery (microphone/consul), security, resilience (polly), composition, ssecurity (jwt/oauth2)... And then an example with a CQRS application, and how docker can be used in Windows 2016. Lastly a brief summary of what Service Fabric is and its programming models.
Cytoscape CI Chapter 2
The Cytoscape Cyberinfrastructure extends Cytoscape and its community into web-connected services.The CI is a Service Oriented Architecture that supports network biology oriented computations that can be orchestrated into repeatable workflows.
Dreamforce 2015 microservices
Disposability has been a long time coming – I remember the aha when I first heard how Google dealt with hardware failures – by simply throwing out the offending boxes every once in a while, with no need to do anything immediate. At Google the software architecture meant that hardware became disposable. Today that architectural idea(l) is becoming a core design principle for Cloud Native software – 12 Factor Apps. Everything should be disposable. Except of course the data… Apps are like fish, but data is like wine. Stateless apps still require a persistence layer.
Every Cloud Has a Silver Lining
Presentation given at HostingCon 2008 in Chicago for the Marketing tract. Designed to explain the differences between various Cloud Computing models as well as dispel myths and illustrate the features and benefits of Clouds.
Get your mobile app in production in 3 months: Backend
This document discusses microservices and Node.js. It notes that Node.js is easy to learn and use, and allows asynchronous programming without threads. Microservices break applications into independent, modular services that communicate via REST APIs. While microservices provide advantages like scalability and modularity, they also introduce challenges around data synchronization and communication between teams. The document advocates for practices like automated deployments, health checks, and Docker to help manage microservices architectures.
apidays LIVE Hong Kong 2021 - Rethinking Financial Services with Data in Moti...
apidays LIVE Hong Kong 2021 - API Ecosystem & Data Interchange
August 25 & 26, 2021
Rethinking Financial Services with Data in Motion
Jeffrey Lam, Senior Solution Engineer, Greater China Region at Confluent
Similar to Adventureswith micro services (20)
Exploring Twitter's Finagle technology stack for microservices
Exploring Twitter's Finagle technology stack for microservices
Devoxx London 2017 - Rethinking Services With Stateful Streams
Devoxx London 2017 - Rethinking Services With Stateful Streams
.Net Microservices with Event Sourcing, CQRS, Docker and... Windows Server 20...
.Net Microservices with Event Sourcing, CQRS, Docker and... Windows Server 20...
Get your mobile app in production in 3 months: Backend
Get your mobile app in production in 3 months: Backend
apidays LIVE Hong Kong 2021 - Rethinking Financial Services with Data in Moti...
apidays LIVE Hong Kong 2021 - Rethinking Financial Services with Data in Moti...
More from Thoughtworks
Design System as a Product
Design System as a Product - Maria Elena Duenias, Esther Butcher
Design systems are a great example where web development and design meet. You can find innumerable resources on the internet, books and conferences on how to build them, and how they are exactly what your organization needs. But, building one requires a lot more than following a recipe. In this talk we are going to discuss how to build a design system as an internal product, and how it evolves to become what the users need.
Designers, Developers & Dogs
Designers, Developers and Dogs: Finding the magic balance between product and tech - Charlotte Vorbeck, ShareNow and Sahil Bajaj
How can an agile delivery team become a successful product team? When does collaboration between product and tech succeed and when not? Why do people in some teams inspire each other while others in the same environment don't speak the same language? In this talk we want to share our learnings and experiences from rebuilding an internal tool for customer support at ShareNow. What could have been just another boring rewrite surprisingly became one of our best experiences in collaboration. We will look at how a joint discovery phase helped us to come up with a shared vision, how a better team setup enabled us to do the necessary work, how focusing on the customer kept us aligned during our journey, and also how we built upon existing collaborative techniques to achieve this new level of cooperation and trust.
Cloud-first for fast innovation
During this presentation, Ward Coessens, ThoughtWorks' Consultant will share best practice insights from the Daimler partnership, helping the automotive group on their cloud innovation journey.
More impact with flexible teams
How to create more business impact with flexible teams - Jan Hegewald, Zalando & Rebekka Beels, Zalando
Usually, Software Engineering teams are organized around a fixed set of components which they develop further and maintain. Such component teams gain a high level of expert knowledge about their services. However, with agile product development, it often is difficult to implement the most important initiatives with such teams. This leads to a situation where the teams do not work on the most relevant business topics but on those for the respective team. At Zalando, we introduced a new model where we shape teams flexibly around business goals to create the highest impact. How we organize these teams and which challenges especially for the software quality need to be addressed, will be explored in this talk.
Culture of Innovation
Amazon’s Culture of Innovation & The Working Backwards session
Working Backwards; leading organisations achieve growth by marrying customer-obsession with a modern technology strategy. Where do you begin? By focusing on the customer.
During this webinar, Amazon will discuss key innovation principles which have been instrumental in their continued success and their Working Backwards approach.
Dual-Track Agile
Dual-Track Agile for Discovery & Development - Adriana Katrandzhieva
The talk will focus on one of the ways teams can ensure continuous delivery and design in their projects. The so-called ‘Dual-track’ model shows the parallel tracks of discovery and development throughout the product design and delivery process. These continually feedback into each other informing new hypothesis that can be tested in order to be proven/disproven. This model is not always easy to implement out of the box and so I will share my own experiences in applying it in practice - what worked, what didn't and how the model can be adjusted to fit different teams and organisational environments.
Developer Experience
This document discusses developer experience (DX) and how to design for it. It begins with introductions of the presenters and defines DX as the experience developers have when using a product. It then discusses understanding developer pain points and personas, designing the developer journey, and using different interfaces like APIs, portals, and CLIs. The document outlines challenges in the design process like getting buy-in and measuring DX metrics. It argues that improving DX benefits business goals like enabling experiments, increasing flexibility, and attracting talent. It concludes that developers are also users and designers, and that DX is important to consider for business reasons.
When we design together
When we design together - Sabrina Mach, Ammara Gafoor and James Emmott
From three distinct perspectives, this talk will contend that design is an activity undertaken by everyone in a software development team. It occurs throughout the process of delivery — not only at the beginning or the end — and it is a powerful instrument for learning about and adapting to the problems our work seeks to solve, which is a shared responsibility. Making the best use of our multidisciplinary expertise in the activity of design requires forms of collaboration that are too often disrupted by the role-based silos that keep us separated and weaken the valuable contribution our diverse approaches could make to our collective efforts. If you care about accelerating time to market, improving customer experience, or building happy and productive teams, you will want to know why and how it matters that we believe ‘design is in everything that we do’.
Hardware is hard(er)
Hardware is hard(er): designing for distributed user experiences in IoT - Claire Rowland, www.clairerowland.com
Designing connected devices and hardware-enabled services is significantly more complex than pure software. There are more devices on which code can run, connectivity and data sharing patterns to consider, and often multiple and varied touchpoints for users to interact with. Pulling this all together into a coherent experience involves strong collaboration between design and engineering, and a systems thinking approach to UX. In this talk, we’ll introduce what designers need to know about the tech, what engineers need to know about UX for IoT, and how to facilitate the whole-collaboration needed to create great products.
www.clairerowland.com
Customer-centric innovation enabled by cloud
Working Backwards - Leading organisations achieve growth by marrying customer-obsession with a modern technology strategy. In this upcoming webinar, we’ve partnered with AWS to bring you exclusive insights from one of the world’s most innovative companies, Amazon.
Amazon's Culture of Innovation
The document discusses Amazon's culture of innovation. It emphasizes starting with the customer and working backwards to develop solutions. Amazon focuses on small, autonomous teams that are nimble and own their work. The company's leadership principles guide decision-making and encourage inventiveness, customer obsession, high standards, and long-term thinking to solve customer problems.
When in doubt, go live
The document discusses techniques for establishing shorter feedback loops between developing features and measuring user behavior, including:
1) Shadow traffic which runs new and old features simultaneously to get early feedback without users noticing a difference.
2) Visual reports which assess the quality of a feature through a report (e.g. HTML page) of key metrics.
3) A/B testing which statistically compares user behavior between a control and test group after exposing each to a different variant of a feature. Sample size considerations and statistical significance are discussed.
Don't cross the Rubicon
As a tech leader at ThoughtWorks, a large part of my job involves recommending practices to our clients so they can build and deliver good quality software faster. In doing so repeatedly for many clients I have created a toolkit that contains practical advice from being on the ground. This is what we do, we know it works. When Julius Caesar entered Rome with his army by crossing the river Rubicon, he did something that couldn’t be undone ever again. In your journey as a leader, avoid mistakes that are difficult to correct later. Here are a set of practices that you want to adopt as soon as possible.
Error handling
Handling error conditions is a core part of the software we write. However, we often treat it as a second class citizen, obscuring our intent through abuse of null values and exceptions that make our code hard to understand and maintain. In the functional programming community, it is common to use datatypes such as Option, Either or Validated to make our intentions explicit when dealing with errors. We can leverage the compiler to verify that we are handling them instead of hoping for the best at runtime. This results in code that is clearer, without hidden path flows. We’ll show how we have been doing this in Kotlin, with the help of the Arrow library.
Your test coverage is a lie!
Mutation testing in software development surfaced in academia during the 70's and has recently seen a resurgence in popularity as a legitimate tool in your testing arsenal. In this session we review the conventional testing pyramid, modern approaches to testing software and look at how mutation testing can help fill in those blind spots.
Docker container security
The document discusses security challenges and best practices for Docker containers. It outlines risks at different stages of the container lifecycle from image development to deployment. Key risks include lack of isolation, complex ecosystems, and known vulnerabilities. The document recommends practices like using linting and scanning during development, restricting resources and access controls at deployment, and signing images from trusted sources to improve container security.
Redefining the unit
Mainframes handle 30 billion business transactions each day and 87% of all credit card transactions*, they are not traditionally associated with flexible, fail-fast development approaches. Can we bring the practices of agile, CI/CD and fully automated deployments to applications running on a mainframe? During our talk, we'll tell you a story about test automation; redefining the smallest testable unit of a program. And we'll discuss our learnings from introducing continuous integration and agile practices to the world of insurance and mainframes.
*9 Mainframe statistics that may surprise you
Technology Radar Webinar UK - Vol. 22
ThoughtWorks' Lucy Kurian, James Lewis & Kief Morris discuss tech trends in our latest Technology Radar, covering techniques, platforms, tools, languages and frameworks.
A Tribute to Turing
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help regulate emotions and stress levels.
Rsa maths worked out
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
More from Thoughtworks (20)
Recently uploaded
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...Pitangent Analytics & Technology Solutions Pvt. Ltd
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Tomaz Bratanic
Graph ML and GenAI Expert - Neo4j
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Session 1 - Intro to Robotic Process Automation.pdf
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
Recently uploaded (20)
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
Session 1 - Intro to Robotic Process Automation.pdf
Session 1 - Intro to Robotic Process Automation.pdf
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Adventureswith micro services
- 1. Adventures with micro-Services Mohit Thatte (@mohitthatte) Jesal Mistry (@jesalnmistry) ThoughtWorks Inc.
- 4. What are micro services? small independent composable services that do one thing well
- 5. Unix philosophy Write programs that do one thing well. Write programs that work together. cat | grep | sed | awk | ... HTTP is the new pipe!
- 6. lots of legacy, no reuse not flexible, high cost of change no one knows how it works concentrated complexity independent small that do one thingcomposable 90 year old business
- 7. “A 100k loc app is just 100 1k loc apps waiting to happen” - Jeff Bay
- 8. Adventure so far 25 VM’s in production 10+ micro-services one click deployment 60+ VM’s across environments
- 11. Thumb Rules 1 top level resource (2 at most) bounded contexts focus on contracts avoid coupling idempotent jobs extract cross cutting concerns
- 13. Continuous Delivery Is my code good to go to production? Can I deploy it in a single click?
- 14. “we’re effectively pushing the complexity from the application into the infrastructure...” - James Lewis
- 15. CI + DevOps enables single-click deployment so easy, our product owner does it! it just works™ 3 mins to production (~25 servers)
- 16. Puppet Solo Provisioning begins at home - Vagrant Puppet goes through CI just like app code Our ideal : ImmutableServer Provisioning
- 17. Tradeoffs benefit cost small units of reuse/maintenance complex infrastructure grow independently (**polyglot) network overhead scale independently fragmented data “easier” to grok “harder” to grok isolated boundaries coarse-grained API logging / tracing