The document compares the API gateways Kong and Traefik. Kong is easy to install and maintain, has great performance, and flexible integration with Kubernetes ingress. However, it lacks an official dashboard and plugins must be built in Lua. Traefik is very simple to configure and use and has strong integration with many cloud systems. However, it has less documentation and lacks some advanced features of Kong. Overall, both tools are suitable API gateways but Kong may be better for more complex needs while Traefik is simpler to use and get started with.
The document discusses various concepts and patterns related to microservices architecture using Spring, including:
- Microservices provide loosely coupled services with distributed architecture compared to monolithic applications.
- Spring Boot Actuator provides endpoints for monitoring microservice health and metrics.
- Service discovery tools like Eureka and Consul allow services to register and discover each other.
- Other patterns and tools discussed include API gateways, configuration management, circuit breakers, load balancing, messaging queues, REST client generation, and security.
This document provides an overview of API gateways. It discusses the API gateway pattern which includes separating client and server code, providing distinct API views from the same origin, and composing calls between APIs. It also includes an architecture diagram and discusses core features like uniform authentication, REST over HTTPS, horizontal scalability, payload rewrite, request composition, and backend as a service. Popular API gateway players like APIGEE, AWS API Gateway, and Kong are compared. Potential pitfalls around dependency, lock-in, scalability, and backend savings are also covered. The conclusion recommends using API gateways as accelerators but planning to reduce their footprint, using standard protocols, managing cache/data, and being able to migrate to an open
This document summarizes endtest.dev, an end-to-end test automation service that allows users to easily add test coverage to web applications. Key features include a web-based test editor, cloud-based test running powered by Google, and integration with GitHub and GitLab. Tests are triggered manually or by schedulers and run on Google Cloud infrastructure, with results, logs and errors stored in cloud storage and databases. Social media and communication channels are provided to help users and track the project's progress since its December 2021 start date.
Building Microservices with the 12 Factor App Pattern on AWSAmazon Web Services
by Chris Hein, Partner Solutions Architect, AWS
Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features. But building containerized microservices across multiple teams means you need well-defined, guiding methodologies for software design and implementation. In this talk we’ll discuss architectural best practices for building containerized microservices on AWS, and how traditional software design patterns evolve in the context of containers. We will deep-dive into Martin Fowler’s principles of microservices and map them to the twelve-factor app pattern and real-life considerations. If you are building or in the process of building microservices on AWS, don’t miss this session.
Kong is an open source API gateway that acts as a single entry point for API requests. It handles requests by either proxying them directly to services or fanning out requests to multiple services. It runs in front of RESTful APIs and extends their functionality through plugins. Kong listens on ports 8000 for HTTP, 8443 for HTTPS, 8001 for its admin API, and 7946 and 7373 for inter-node communication. The document discusses setting up Kong with Docker, viewing logs, and the architecture of a Kong implementation with an API and management container on each host behind private and public load balancers. Next steps discussed are using Kongfig for configuration management and comparing Kong to just using Nginx.
Mastering Microservices with Kong (CodeMotion 2019)Maarten Mulders
This document discusses API management and API gateways. It introduces API management as the process of creating and publishing APIs, enforcing usage policies, and collecting analytics. It then discusses how API gateways can provide functionality like routing, authentication, rate limiting and analytics for microservices. The document demonstrates configuring Kong, an open source API gateway, to route requests to beer and brewery microservices and add authentication. It also discusses how plugins can extend Kong's functionality and how Kong was a good fit for its flexibility and community support.
Building Microservices with the 12 Factor App Pattern on AWS.pdfAmazon Web Services
Microservices architectures make applications easier to scale and faster to develop. But building containerized microservices across multiple teams means you need well-defined, methodologies for software design and implementation. In this webinar we’ll discuss best practices for building containerized microservices on AWS, and how traditional software design patterns evolve in the context of containers. We will deep-dive into Martin Fowler’s principles of microservices and map them to the twelve-factor app pattern and real-life considerations. Finally, we'll show you an example of building and running a containerized microservices app using AWS Fargate.
The document compares the API gateways Kong and Traefik. Kong is easy to install and maintain, has great performance, and flexible integration with Kubernetes ingress. However, it lacks an official dashboard and plugins must be built in Lua. Traefik is very simple to configure and use and has strong integration with many cloud systems. However, it has less documentation and lacks some advanced features of Kong. Overall, both tools are suitable API gateways but Kong may be better for more complex needs while Traefik is simpler to use and get started with.
The document discusses various concepts and patterns related to microservices architecture using Spring, including:
- Microservices provide loosely coupled services with distributed architecture compared to monolithic applications.
- Spring Boot Actuator provides endpoints for monitoring microservice health and metrics.
- Service discovery tools like Eureka and Consul allow services to register and discover each other.
- Other patterns and tools discussed include API gateways, configuration management, circuit breakers, load balancing, messaging queues, REST client generation, and security.
This document provides an overview of API gateways. It discusses the API gateway pattern which includes separating client and server code, providing distinct API views from the same origin, and composing calls between APIs. It also includes an architecture diagram and discusses core features like uniform authentication, REST over HTTPS, horizontal scalability, payload rewrite, request composition, and backend as a service. Popular API gateway players like APIGEE, AWS API Gateway, and Kong are compared. Potential pitfalls around dependency, lock-in, scalability, and backend savings are also covered. The conclusion recommends using API gateways as accelerators but planning to reduce their footprint, using standard protocols, managing cache/data, and being able to migrate to an open
This document summarizes endtest.dev, an end-to-end test automation service that allows users to easily add test coverage to web applications. Key features include a web-based test editor, cloud-based test running powered by Google, and integration with GitHub and GitLab. Tests are triggered manually or by schedulers and run on Google Cloud infrastructure, with results, logs and errors stored in cloud storage and databases. Social media and communication channels are provided to help users and track the project's progress since its December 2021 start date.
Building Microservices with the 12 Factor App Pattern on AWSAmazon Web Services
by Chris Hein, Partner Solutions Architect, AWS
Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features. But building containerized microservices across multiple teams means you need well-defined, guiding methodologies for software design and implementation. In this talk we’ll discuss architectural best practices for building containerized microservices on AWS, and how traditional software design patterns evolve in the context of containers. We will deep-dive into Martin Fowler’s principles of microservices and map them to the twelve-factor app pattern and real-life considerations. If you are building or in the process of building microservices on AWS, don’t miss this session.
Kong is an open source API gateway that acts as a single entry point for API requests. It handles requests by either proxying them directly to services or fanning out requests to multiple services. It runs in front of RESTful APIs and extends their functionality through plugins. Kong listens on ports 8000 for HTTP, 8443 for HTTPS, 8001 for its admin API, and 7946 and 7373 for inter-node communication. The document discusses setting up Kong with Docker, viewing logs, and the architecture of a Kong implementation with an API and management container on each host behind private and public load balancers. Next steps discussed are using Kongfig for configuration management and comparing Kong to just using Nginx.
Mastering Microservices with Kong (CodeMotion 2019)Maarten Mulders
This document discusses API management and API gateways. It introduces API management as the process of creating and publishing APIs, enforcing usage policies, and collecting analytics. It then discusses how API gateways can provide functionality like routing, authentication, rate limiting and analytics for microservices. The document demonstrates configuring Kong, an open source API gateway, to route requests to beer and brewery microservices and add authentication. It also discusses how plugins can extend Kong's functionality and how Kong was a good fit for its flexibility and community support.
Building Microservices with the 12 Factor App Pattern on AWS.pdfAmazon Web Services
Microservices architectures make applications easier to scale and faster to develop. But building containerized microservices across multiple teams means you need well-defined, methodologies for software design and implementation. In this webinar we’ll discuss best practices for building containerized microservices on AWS, and how traditional software design patterns evolve in the context of containers. We will deep-dive into Martin Fowler’s principles of microservices and map them to the twelve-factor app pattern and real-life considerations. Finally, we'll show you an example of building and running a containerized microservices app using AWS Fargate.
Deep Dive on Continuous Integration and Continuous Delivery in Anypoint Platf...NaimishKakkad2
The document summarizes a meetup event on continuous integration and continuous delivery. It includes an agenda that covers manual deployment processes, API discovery, what CI/CD are, tools and techniques for CI/CD, and a deep dive into CI/CD workflows. The speakers are introduced and their backgrounds are provided. The event objectives are outlined and the tools and prerequisites for CI/CD are listed. An overview of the CI/CD setup is given and Groovy scripts are mentioned for automating the workflows.
This document discusses using GitLab CI/CD to provision and manage infrastructure with Terraform Cloud (TFC). It begins with an agenda that includes an introduction to Terraform and TFC, integrating them with GitLab, and demos of using GitLab CI/CD pipelines with TFC for infrastructure as code. It then provides bios of two presenters and discusses how GitLab offers a single platform to plan, code, test, secure and release applications. The document concludes by pointing to additional resources on using GitLab CI with Terraform.
The Good, the Bad and the Ugly of Migrating Hundreds of Legacy Applications ...Josef Adersberger
Running applications on Kubernetes can provide a lot of benefits: more dev speed, lower ops costs, and a higher elasticity & resiliency in production. Kubernetes is the place to be for cloud native apps. But what to do if you’ve no shiny new cloud native apps but a whole bunch of JEE legacy systems? No chance to leverage the advantages of Kubernetes? Yes you can!
We’re facing the challenge of migrating hundreds of JEE legacy applications of a major German insurance company onto a Kubernetes cluster within one year. We're now close to the finish line and it worked pretty well so far.
The talk will be about the lessons we've learned - the best practices and pitfalls we've discovered along our way. We'll provide our answers to life, the universe and a cloud native journey like:
- What technical constraints of Kubernetes can be obstacles for applications and how to tackle these?
- How to architect a landscape of hundreds of containerized applications with their surrounding infrastructure like DBs MQs and IAM and heavy requirements on security?
- How to industrialize and govern the migration process?
- How to leverage the possibilities of a cloud native platform like Kubernetes without challenging the tight timeline?
Flexible, hybrid API-led software architectures with KongSven Bernhardt
Kong is a lightweight, cloud-native API solution that makes it easier and faster than ever to connect APIs and microservices in today’s hybrid, multi-cloud environments. With its agnostic, flexible deployment approach, Kong can be used in today’s heterogeneous IT system landscapes to integrate a wide variety of data and systems – even across company boundaries – using APIs. In addition to REST APIs, Kong also offers support for gRPC and GraphQL, which broadens the possibilities to implement modern application architectures.
In this presentation, we will discuss deployment patterns and use cases for Kong to demonstrate the flexibility of the platform. Using a practical example, aspects of the API development and deployment process as well as the integration in existing software development processes will be discussed.
This document discusses using Quarkus with Kafka and Server-Side Events (SSE) for reactive messaging. It provides an example of consuming Kafka messages, transforming the data, and sending it to an internal stream. The service implementation and JAX-RS endpoint for exposing the stream are demonstrated. References are included for Quarkus documentation on reactive messaging and Kafka.
Serverless apps can be developed using OpenWhisk, an open source serverless platform. OpenWhisk allows code to execute in response to events, using triggers, actions, and rules. It provides polyglot support and scales dynamically. The document demonstrates how to create a timer triggered action and a Slack bot using OpenWhisk. It also provides an overview of OpenWhisk's architecture and implementation.
This document provides an overview of Kong, an open-source API gateway. It discusses that Kong is a cloud-native, scalable middleware between clients and APIs, and supports features like authentication, security, traffic control, and analytics. The document also summarizes the Community and Enterprise editions of Kong, including that the Enterprise edition provides additional capabilities like an admin GUI, API analytics, and support. It concludes with an example of using Kong to expose an API and discusses benefits and concerns of Kong.
Containers and Developer Defined Data Centers - Evan Powell - Keynote in Bang...CodeOps Technologies LLP
DevOps and Containers go hand in hand. DevOps industry is expected to benefit significantly benefit from the container eco-system and technology. This keynote talks about the challenges and opportunities around deploying containers into production use cases.
The recent constraints on businesses have pushed organizations to accelerate their plans for moving operations to the digital world—often shrinking timelines from years to months. Microservice architecture (MSA) is critical to accomplish fast innovation and the APIs exposed from microservices should be secured, managed, observed and monetized. All these steps require significant time.
Kubernetes is designed for automation. The Operator pattern captures how you can write code and extend the Kubernetes cluster to automate a task going beyond its out-of-the-box capabilities. In this session, Lakmal will demonstrate and share his experience of how to automate microservice to API by introducing a Kubernetes Operator that works together with an API Management system while enhancing the developer experience.
How to contribute to cloud native computing foundation (CNCF)Krishna-Kumar
Contribute to cloud native computing foundation - various ways. This is an introductory presentation given in Container conference in Bangalore April 2017 and may help new comers to get in to the CNCF eco system faster.
Shift Left - How to improve your security with checkov before it’s going to p...Anton Grübel
This document discusses shifting security left by using infrastructure as code (IaC) security tools like Checkov to find and prevent defects early. It lists several IaC security tools including Checkov, which supports over 1000 policies across multiple cloud platforms and languages. Checkov allows custom checks to be written in Python or YAML and integrates with GitHub Actions and pre-commit hooks to shift security testing left in the development process.
At AWS re:Invent, we have launched support for blue/green deployments for services hosted using AWS Fargate and Amazon Elastic Container Service (Amazon ECS). Blue/green deployments help you minimize downtime during application updates. They allow you to launch a new version of your application alongside the old version and test the new version before you reroute traffic to it. You can also monitor the deployment process and, if there is an issue, quickly roll back.
In this workshop, you will create a new service in AWS Fargate that uses AWS CodeDeploy to manage the deployments, testing, and traffic cutover for you.
Microservices with Node & Docker allow for building and deploying applications as independent services that can scale independently. Docker provides lightweight isolated environments for running services, while Node is well-suited as a platform due to its asynchronous and non-blocking I/O model and ease of building scalable network services. Together, Docker and Node enable a microservices architecture with improved developer productivity, deployment flexibility, and scalability compared to traditional monolithic applications.
Thibault Charbonnier presented on using Kong as an API gateway to manage APIs and microservices. He began with an overview of why an API gateway is useful both for building and running APIs. He then demonstrated Kong, including adding an API, applying a plugin, and making a request through the gateway. Finally, he discussed new features in Kong 0.10 like dynamic load balancing and the AWS Lambda plugin.
Deploying Anything as a Service (XaaS) Using Operators on KubernetesAll Things Open
This document discusses deploying software-as-a-service (XaaS) applications using operators on Kubernetes. It defines operators as collections of custom resource definitions and controllers that manage the lifecycle of those resources. Operators can deploy applications and dependencies within or outside the Kubernetes cluster. The document provides examples of when to use operators for internal resources like databases, as well as managed cloud services. It also discusses where to find operators and how to deploy common ones like Elasticsearch, AWS services, and Kafka.
HashiTalks 2020 - Chef Tools & Terraform: Better TogetherMatt Ray
This document discusses how Chef and Terraform can be used together for infrastructure automation and compliance. It provides overviews of Chef Infra, Chef Habitat, Chef InSpec, and how each integrates with Terraform. Key points include the Chef Provisioner and Provider for Terraform, the Habitat Provisioner, using Kitchen-Terraform for testing, and InSpec-Iggy for generating compliance profiles from Terraform configs. The document emphasizes that these tools can work better together for provisioning, deploying applications, and verifying infrastructure and security compliance as code.
This document discusses microservices and how to build them using Go. It describes the benefits of microservices over monolithic architectures, such as improved scalability, resilience, and ease of deployment. Some key aspects of building microservices with Go that are covered include making services autonomous and focused, using a domain-driven design, implementing service discovery, API gateways, and messaging between services using events. The document also provides guidance on important operational concerns like security, monitoring, and testing when building microservices applications.
Kubernetes is much more than a runtime platform for Docker containers. Through its API not only can you create custom clients, but you can also extend Kubernetes. Those custom Controllers are called Operators and work with application-specific custom resource definitions.
Not only can you write those Kubernetes operators in Go, but you can also do this in Java. Within this talk, you will be guided through setting up and your first explorations of the Kubernetes API within a plain Java program. We explore the concepts of resource listeners, programmatic creation of deployments and services and how this can be used for your custom requirements.
Jump into Squeak - Integrate Squeak projects with Docker & Githubhubx
☛ Install Squeak and dependencies using Docker to avoid complex installation steps
☛ Extend Monticello to use Git for version control and collaboration by adding a MCGitHubRepository class
☛ Saves to Git automatically during Monticello commits, allowing changes to be pushed to a GitHub repository with a single commit
At the moment, cloud CI systems are a highly-demanded service. In this article, we'll tell you how to integrate analysis of source code into a CI cloud platform with the tools that are already available in PVS-Studio. As an example we'll use the Travis CI service.
Deep Dive on Continuous Integration and Continuous Delivery in Anypoint Platf...NaimishKakkad2
The document summarizes a meetup event on continuous integration and continuous delivery. It includes an agenda that covers manual deployment processes, API discovery, what CI/CD are, tools and techniques for CI/CD, and a deep dive into CI/CD workflows. The speakers are introduced and their backgrounds are provided. The event objectives are outlined and the tools and prerequisites for CI/CD are listed. An overview of the CI/CD setup is given and Groovy scripts are mentioned for automating the workflows.
This document discusses using GitLab CI/CD to provision and manage infrastructure with Terraform Cloud (TFC). It begins with an agenda that includes an introduction to Terraform and TFC, integrating them with GitLab, and demos of using GitLab CI/CD pipelines with TFC for infrastructure as code. It then provides bios of two presenters and discusses how GitLab offers a single platform to plan, code, test, secure and release applications. The document concludes by pointing to additional resources on using GitLab CI with Terraform.
The Good, the Bad and the Ugly of Migrating Hundreds of Legacy Applications ...Josef Adersberger
Running applications on Kubernetes can provide a lot of benefits: more dev speed, lower ops costs, and a higher elasticity & resiliency in production. Kubernetes is the place to be for cloud native apps. But what to do if you’ve no shiny new cloud native apps but a whole bunch of JEE legacy systems? No chance to leverage the advantages of Kubernetes? Yes you can!
We’re facing the challenge of migrating hundreds of JEE legacy applications of a major German insurance company onto a Kubernetes cluster within one year. We're now close to the finish line and it worked pretty well so far.
The talk will be about the lessons we've learned - the best practices and pitfalls we've discovered along our way. We'll provide our answers to life, the universe and a cloud native journey like:
- What technical constraints of Kubernetes can be obstacles for applications and how to tackle these?
- How to architect a landscape of hundreds of containerized applications with their surrounding infrastructure like DBs MQs and IAM and heavy requirements on security?
- How to industrialize and govern the migration process?
- How to leverage the possibilities of a cloud native platform like Kubernetes without challenging the tight timeline?
Flexible, hybrid API-led software architectures with KongSven Bernhardt
Kong is a lightweight, cloud-native API solution that makes it easier and faster than ever to connect APIs and microservices in today’s hybrid, multi-cloud environments. With its agnostic, flexible deployment approach, Kong can be used in today’s heterogeneous IT system landscapes to integrate a wide variety of data and systems – even across company boundaries – using APIs. In addition to REST APIs, Kong also offers support for gRPC and GraphQL, which broadens the possibilities to implement modern application architectures.
In this presentation, we will discuss deployment patterns and use cases for Kong to demonstrate the flexibility of the platform. Using a practical example, aspects of the API development and deployment process as well as the integration in existing software development processes will be discussed.
This document discusses using Quarkus with Kafka and Server-Side Events (SSE) for reactive messaging. It provides an example of consuming Kafka messages, transforming the data, and sending it to an internal stream. The service implementation and JAX-RS endpoint for exposing the stream are demonstrated. References are included for Quarkus documentation on reactive messaging and Kafka.
Serverless apps can be developed using OpenWhisk, an open source serverless platform. OpenWhisk allows code to execute in response to events, using triggers, actions, and rules. It provides polyglot support and scales dynamically. The document demonstrates how to create a timer triggered action and a Slack bot using OpenWhisk. It also provides an overview of OpenWhisk's architecture and implementation.
This document provides an overview of Kong, an open-source API gateway. It discusses that Kong is a cloud-native, scalable middleware between clients and APIs, and supports features like authentication, security, traffic control, and analytics. The document also summarizes the Community and Enterprise editions of Kong, including that the Enterprise edition provides additional capabilities like an admin GUI, API analytics, and support. It concludes with an example of using Kong to expose an API and discusses benefits and concerns of Kong.
Containers and Developer Defined Data Centers - Evan Powell - Keynote in Bang...CodeOps Technologies LLP
DevOps and Containers go hand in hand. DevOps industry is expected to benefit significantly benefit from the container eco-system and technology. This keynote talks about the challenges and opportunities around deploying containers into production use cases.
The recent constraints on businesses have pushed organizations to accelerate their plans for moving operations to the digital world—often shrinking timelines from years to months. Microservice architecture (MSA) is critical to accomplish fast innovation and the APIs exposed from microservices should be secured, managed, observed and monetized. All these steps require significant time.
Kubernetes is designed for automation. The Operator pattern captures how you can write code and extend the Kubernetes cluster to automate a task going beyond its out-of-the-box capabilities. In this session, Lakmal will demonstrate and share his experience of how to automate microservice to API by introducing a Kubernetes Operator that works together with an API Management system while enhancing the developer experience.
How to contribute to cloud native computing foundation (CNCF)Krishna-Kumar
Contribute to cloud native computing foundation - various ways. This is an introductory presentation given in Container conference in Bangalore April 2017 and may help new comers to get in to the CNCF eco system faster.
Shift Left - How to improve your security with checkov before it’s going to p...Anton Grübel
This document discusses shifting security left by using infrastructure as code (IaC) security tools like Checkov to find and prevent defects early. It lists several IaC security tools including Checkov, which supports over 1000 policies across multiple cloud platforms and languages. Checkov allows custom checks to be written in Python or YAML and integrates with GitHub Actions and pre-commit hooks to shift security testing left in the development process.
At AWS re:Invent, we have launched support for blue/green deployments for services hosted using AWS Fargate and Amazon Elastic Container Service (Amazon ECS). Blue/green deployments help you minimize downtime during application updates. They allow you to launch a new version of your application alongside the old version and test the new version before you reroute traffic to it. You can also monitor the deployment process and, if there is an issue, quickly roll back.
In this workshop, you will create a new service in AWS Fargate that uses AWS CodeDeploy to manage the deployments, testing, and traffic cutover for you.
Microservices with Node & Docker allow for building and deploying applications as independent services that can scale independently. Docker provides lightweight isolated environments for running services, while Node is well-suited as a platform due to its asynchronous and non-blocking I/O model and ease of building scalable network services. Together, Docker and Node enable a microservices architecture with improved developer productivity, deployment flexibility, and scalability compared to traditional monolithic applications.
Thibault Charbonnier presented on using Kong as an API gateway to manage APIs and microservices. He began with an overview of why an API gateway is useful both for building and running APIs. He then demonstrated Kong, including adding an API, applying a plugin, and making a request through the gateway. Finally, he discussed new features in Kong 0.10 like dynamic load balancing and the AWS Lambda plugin.
Deploying Anything as a Service (XaaS) Using Operators on KubernetesAll Things Open
This document discusses deploying software-as-a-service (XaaS) applications using operators on Kubernetes. It defines operators as collections of custom resource definitions and controllers that manage the lifecycle of those resources. Operators can deploy applications and dependencies within or outside the Kubernetes cluster. The document provides examples of when to use operators for internal resources like databases, as well as managed cloud services. It also discusses where to find operators and how to deploy common ones like Elasticsearch, AWS services, and Kafka.
HashiTalks 2020 - Chef Tools & Terraform: Better TogetherMatt Ray
This document discusses how Chef and Terraform can be used together for infrastructure automation and compliance. It provides overviews of Chef Infra, Chef Habitat, Chef InSpec, and how each integrates with Terraform. Key points include the Chef Provisioner and Provider for Terraform, the Habitat Provisioner, using Kitchen-Terraform for testing, and InSpec-Iggy for generating compliance profiles from Terraform configs. The document emphasizes that these tools can work better together for provisioning, deploying applications, and verifying infrastructure and security compliance as code.
This document discusses microservices and how to build them using Go. It describes the benefits of microservices over monolithic architectures, such as improved scalability, resilience, and ease of deployment. Some key aspects of building microservices with Go that are covered include making services autonomous and focused, using a domain-driven design, implementing service discovery, API gateways, and messaging between services using events. The document also provides guidance on important operational concerns like security, monitoring, and testing when building microservices applications.
Kubernetes is much more than a runtime platform for Docker containers. Through its API not only can you create custom clients, but you can also extend Kubernetes. Those custom Controllers are called Operators and work with application-specific custom resource definitions.
Not only can you write those Kubernetes operators in Go, but you can also do this in Java. Within this talk, you will be guided through setting up and your first explorations of the Kubernetes API within a plain Java program. We explore the concepts of resource listeners, programmatic creation of deployments and services and how this can be used for your custom requirements.
Jump into Squeak - Integrate Squeak projects with Docker & Githubhubx
☛ Install Squeak and dependencies using Docker to avoid complex installation steps
☛ Extend Monticello to use Git for version control and collaboration by adding a MCGitHubRepository class
☛ Saves to Git automatically during Monticello commits, allowing changes to be pushed to a GitHub repository with a single commit
At the moment, cloud CI systems are a highly-demanded service. In this article, we'll tell you how to integrate analysis of source code into a CI cloud platform with the tools that are already available in PVS-Studio. As an example we'll use the Travis CI service.
Talk given at ISC2 Secure SDLC event in Austin, TX
The release velocity for our applications is increasing, often leaving security testing behind. In some cases, the security team ends up being the bottleneck. That's bad. In an idyllic world, security testing would happen earlier in the development lifecycle, but lets do one better. Lets do security testing on every code change. Using automation tooling and DevOps practices, this talk will help you tune security testing to your release cadence and more importantly help you deliver more rugged software.
Lean Drupal Repositories with Composer and DrushPantheon
Composer is the industry-standard PHP dependency manager that is now in use in Drupal 8 core. This session will show the current best practices for using Composer, drupal-composer, drupal-scaffold, Drush, Drupal Console and Drush site-local aliases to streamline your Drupal 7 and Drupal 8 site repositories for optimal use on teams.
Docker can be used to containerize applications. It provides lightweight containers that bundle code and dependencies together. Some key Docker concepts include images, which are executable packages, and containers, which are runtime instances of images. Containers are more portable and lightweight than virtual machines. The document provides an introduction to Docker and demonstrates some basic Docker commands like running a container from an image, building an image, committing changes to a new image, and managing containers.
This document provides an introduction to Gitlab CI and continuous integration/continuous delivery (CI/CD) workflows. It discusses DevOps practices and the benefits of Gitlab CI. It then covers how to set up Gitlab runners, write a basic Gitlab CI configuration file, define jobs, stages, variables and environments. The document demonstrates concepts like Docker integration, artifacts, auto and manual deployments, and stopping deployments. It concludes with a live demo of a Gitlab CI configuration.
Learn how to install & update R packages from CRAN, GitHub, Bioconductor etc. You wlll also learn to install specific versions of a package from CRAN or GitHub.
Do any VM's contain a particular indicator of compromise? E.g. Run a YARA signature over all executables on my virtual machines and tell me which ones match.
This document discusses common primitives needed in Docker environments when deploying applications across multiple machines. It outlines several key primitives like persistence, service discovery, monitoring, logging, authentication and authorization. For each primitive, it describes different approaches, lists relevant open source projects, and provides recommendations on how to implement the primitive in a way that is standardized, scalable and works for both new and legacy applications. The goal is to abstract infrastructure and treat all machines similarly while achieving reliability, reproducibility and reducing manual labor.
Today’s cutting edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share best practices (including ones followed internally at Amazon) and how you can bring them to your company by using open source and AWS services.
Speaker: Raghuraman Balachandran, Solutions Architect, Amazon India
DevNet Associate : Python introductionJoel W. King
The document provides an introduction to Python programming and resources for learning Python. It discusses installing Python on personal computers or using containers. It also summarizes using Jupyter notebooks for Python, debugging Python code in VS Code, and additional learning resources like Coursera courses and DevNet labs. Key takeaways are that the session provides a foundation for learning Python concepts and using additional resources for more in-depth learning.
Integrating security testing into your container build pipeline - SDD308 - AW...Amazon Web Services
"In this workshop, you learn to leverage AWS development tools and open-source projects to integrate automated security testing into a CI/CD pipeline. Learn about a variety of patterns for integrating security testing and security-centric release control into AWS CodePipeline. Additionally, learn how to add feedback loops and fix common security vulnerabilities in your container-based application.
All attendees need a laptop, an active AWS Account, an AWS IAM Administrator, and a familiarity with core AWS services."
This document summarizes Docker concepts and provides steps for a local Docker development setup. It introduces Docker images, containers, and registries. It then outlines requirements for development and production configurations and provides examples of setting up a Node.js/Angular frontend and Django backend using Docker images. The document concludes with notes on continuous integration and architecture options.
SFDX (Salesforce Developer eXperience) is a new set of tools and features that help shift development from an org-based model to a source-based development model. Key concepts include scratch orgs, source tracking with version control systems like Git, and unlocked packages. The SFDX CLI (command line interface) is used to create and manage scratch orgs, push and pull source between orgs and local repositories, and more. Scratch orgs are temporary orgs used for development and testing. Continuous integration and delivery can be achieved by deploying source or packages between orgs. SFDX works with both new and existing Salesforce projects and supports common development tasks like running tests and deploying metadata
A step-by-step guide to deploying your first Hello World chaincode onto Hyperledger Fabric.
These slides were created by James Bowkett, Principal Consultant at Excelian.
Sydney based cloud consultancy Cloudten's Richard Tomkinson shows how masterless Puppet can be used in concert with AWS's services including Lambda to automate server builds and manage code deployments
The document provides an overview of agile development using JBoss Seam. It discusses various agile methodologies and technologies that will be presented, including TestNG, Groovy, Hudson, Subversion, Cobertura, DBUnit, and Selenium. It provides descriptions and examples of using these technologies for unit testing, integration testing, and acceptance testing in an agile project.
- The document provides step-by-step instructions for installing Bugzilla, including downloading and installing prerequisite software like Bazaar, MySQL, ActiveState Perl, and Apache.
- Key steps include extracting and saving Bugzilla files, creating a MySQL 'bugs' database and user, configuring Apache to run CGI scripts and point to the Bugzilla directory, and running checksetup.pl to configure Bugzilla.
- The instructions conclude by noting the administrator account can now log into Bugzilla and configure the maintainer and URL settings.
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CICD With GitHub, Travis, SonarCloud and Docker Hub
1. CI/CD with GitHub, Travis CI,
SonarCloud and Docker Hub
How to include CICD into your GitHub project
This work is licensed under the Creative Commons Attribution Non Commercial Share Alike 3.0 License. To view a copy of this license, visit
https://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco,
California, 94105, USA.
3. Requisites
GITHUB
Docker Hub account
TRAVIS
Access to Travis with your GitHub account
DOCKER
GitHub account
CODECOV
Access to CodeCov with your GitHub account (optional)
SONARCLOUD
Access to SonarCloud with your GitHub account
4. Requisites
IDE FORMATTER
Use a formatter in your IDE.
This is an example for Eclipse. Import in the Java Preferences
To apply Ctrl+A and Ctrl+Shift+F. To disable the formatting:
// @formatter:off
// @formatter:on
6. Steps
FROM THE BEGINNING
Fork spring-boot-template repository
Carefully read the README file and the slides
Check all the files to be changed mentioned in the Initial
Configuration and use the same value to replace the same
strings
Use a useful formatter and XML indentation 4.
8. Variablesto
configure
GITHUB
Modify the repo badges and description in README
Create a new branch “release” starting from “master”
Modify DISCLAIMER and LICENSE-AGREEMENT (EULA)
(Substitute **Spring Template** string by your project).
Check the license and terms
TRAVIS
Modify the GitHub repo in .travis/prepare.sh script. Find
and replace spring-boot-template string
Have a look at .travis/push.sh and settings.xml to know
the environment variables used
9. Variablesto
configure
POM (BEFORE IMPORTING IN THE IDE)
Find and replace spring-boot-template string
SCM section. Include the proper GitHub repo
ArtifactId and version (if applicable)
Name, description and final name
CHANGELOG
Add the proper title and description of the repo
CHANGELOG.md and changelog.mustache
Modify the GitHub Api in changelog.json file. Find and
replace spring-boot-template string
DOCKER
Find and replace spring-boot-template string
17. TravisCI
Whatis
Travis CI is an automation server freely available for
open source projects with a couple of clicks and small
file configuration (.travis.yml).
18. TravisCI
.travis.yml
Travis CI runs the CI (clean, test, package and sonar goals) when we merge features into master
and runs the CD (release) when push to release.
A complete .travis.yml example is here:
language: java
sudo: false # faster builds
cache:
directories:
- $HOME/.m2
env:
global:
- secure: “
addons:
sonarcloud:
organization: "arihealth“
token:
secure: xxxx=
script:
- if [ "$TRAVIS_PULL_REQUEST" = "true" ]; then mvn clean test; mvn package -
Dmaven.test.skip=true; mvn sonar:sonar; fi
- if [ "$TRAVIS_BRANCH" = "master" ]; then mvn clean test; mvn sonar:sonar; fi
- if [ "$TRAVIS_BRANCH" = "release" ]; then chmod +x .travis/prepare.sh &&
.travis/prepare.sh; mvn -s .travis/settings.xml -B release:clean release:prepare; git
push --tags; mvn -s .travis/settings.xml -B release:perform; chmod +x .travis/push.sh &&
.travis/push.sh; fi
21. TravisCI
Environmentvariables
Travis CI has an elegant way to configure secrets using
environment variable
Add the environment variables. They are used inside
the maven settings.xml and prepare.sh included in
folder .travis. Have a look at them.
22. TravisCI
Encryptingvariables
With Travis CI we can encrypt the environment variables
Please note that encrypted environment variables are not
available for pull requests from forks.
The encrypted values can be added by anyone, but are only
readable by Travis CI
This way we can reuse them inside the .travis.yml file
For Windows Ruby gem can be downloaded from rubyinstaller
To include encrypted variables into .travis.yml
gem install travis
travis encrypt SOMEVAR=“secretvalue” –add
Further information here
Remember that encryption is done at repository level, so you need
to encrypt again your variables
24. CodeCov
Open source code test coverage
Access https://codecov.io/ using your GitHub credentials
No need to enable the GitHub repo as Travis CI, but
Jacoco (or similar enabled)
Add the following snippet to your .travis.yml
after_success:
- bash <(curl -s https://codecov.io/bash)
26. SonarCloud
Configuration
Follow using SonarCloud with Travis CI guidelines
1. Create a user authenticated token for your account in
SonarCloud with your GitHub account
2. Encrypt this token travis encrypt abcdef0123456789 or
define SONAR_TOKEN in your Repository Settings.
32. DockerHub
Whatis
Open source repository of Docker images
You need an account at https://hub.docker.com/
You can create an organization for your Lab or department
Allow access permission in your GitHub account
35. DockerHub
Createanewrepository
Click “Repositories” and “Create Repository +”
Select the GitHub account Connected and the user and repo to link
(in case you have organizations)
Then “Click here to customize the build settings” for the Automatic
Builds
36. In “Build Rules”
Generate a Docker Tag “{sourceref}” version from Source
Type “Tag” and the Source is “/^[0-9.]+$/” (any semver
version). Which means when a new tag is generated in
GitHub (during the Continuous Delivery workflow)
Generate a Docker Tag “latest” version from Source Type
“Branch” and Source “release”
Release branch receives pushes only when a new version is
generated
DockerHub
Createanewrepository
37. Automatic Builds can be modified in the “Builds” section of
the image “Configure Automatic Builds” button
DockerHub
Builds