The document discusses securing access to Kubernetes applications using Dex for authentication and RBAC for authorization. It provides an overview of Dex and how it can be used to authenticate users against an existing identity provider like Active Directory. It then covers Kubernetes RBAC and how it can be used to define roles and role bindings to control authorization and grant varying levels of access to different user types like cluster administrators. It includes examples of defining roles, role bindings, and checking user access using kubectl auth can-i.
What is Developer Experience, and how can you leverage it to drive adoption and growth for your API? Our very own Keshav Vasudevan will take you through it. Learn more: https://blog.smartbear.com/apis/developer-experience-the-key-to-a-successful-api/
This is a session given by Konstantin Yakushev at Nordic APIs 2016 Platform Summit on October 25th, in Stockholm Sweden. Description: API versioning is a very heated topic in API design world. Common approaches are passing version number explicitly (with a lot of fairly useless discussion on where exactly to put that number) or only introducing backwards-compatible changes. When creating internal API for Badoo applications we found those approaches to be too limiting. Passing version number requires implementers to accommodate for all breaking changes when bumping version – even when it’s not required for business goals of that application at the time. Instead of driving value for business, application developers are in constant race to keep up with the API. Never introducing incompatible changes is also not an option. After several feature redesigns (something that may happen at Badoo once every few weeks) protocol becomes bloated and half of the fields transmitted over the wire start being useless. This talk is about our approach to versioning as part of client-server component negotiation. Client announces features and capabilities it supports and server replies with features status: whether they are enabled or disabled and whether they can be enabled by some user action (e. g. by buying some paid product). Beside those componentized features, client also sends support flags such as SUPPORT_IMAGE_SIZE_VIA_URL which affects how API works. We use those flags where in typical API a version number bump would be required. This approach allows both server and client to understand their current state and adjust their code accordingly – essentially, a tailor-made API for every client. Gathering data on feature and flag support among clients allows us to remove old code branches while continuing to evolve the API. As a result, we are not afraid to change something when that change is required. Old clients continue to work while protocol rot is kept at low level. In this talk I will give details on how exactly this versioning scheme work, how we test those changes, how and when we deprecate our old clients and note some stats and insights from using this scheme at Badoo for several years.
This is a session given by Matt Boyle at Nordic APIs 2016 Platform Summit on October 25th, in Stockholm Sweden. Description: We’ve spent a lot of time over the years at Shapeways building, honing, and improving our deployment and test process for our web properties and API. We started with straight-to-prod commits (which caused quite a bit of downtime!), graduated to working in two- and then one-week release cycles (which caused a lot of anxiety!), to where we are today: releasing 5-15 times a day, with automated testing, using continuous improvement and delivery best practices and tools. We’ve taken the complexity and anxiety out of our deployment process by implementing ChatOps, or using a bot to handle the sorts of tasks computers are great at, namely performing complex tasks repeatedly without error. This enables humans to focus on tasks that we’re uniquely suited for, namely solving complex problems and architecting reliable, resilient, and scalable solutions for our users. We’d love to share some of what we’ve learned along the way, from building automated testing tools, to selecting and implementing open-source solutions, to how we took our global deployment process from one hour to 4 minutes. We’d also like to share our vision of the future: what inspires us, what we hope to achieve in the coming weeks, months, and years, and how we’re going about doing it.
- TeamCity allows building software projects and managing build pipelines for continuous integration and delivery (CI/CD) - A build pipeline in TeamCity refers to the sequence of build steps such as compiling code, running tests, and deploying artifacts that are automatically triggered by code changes - The document demonstrates how to define a build pipeline in TeamCity using Kotlin DSL that compiles and packages a Java application project and its dependency library project
Learn how to use service virtualization to speed your API design and development with Harsh Upreti, Nathan Wright, Mike Hawley and PJ Stevens.
JavaLand, March 2021, online: Talk by Mario-Leander Reimer (@LeanderReimer, Principal Software Architect at QAware) Abstract: Good APIs are the center piece of any successful digital product and cloud native application architecture. But for complex systems with many API consumers the proper management of these APIs is of utmost importance. The API gateway pattern is well established to handle and enforce concerns like routing, versioning, rate limiting, access control, diagnosability or service catalogs in a microservice architecture. So this session will have a closer look at the cloud native API gateway ecosystem: Ambassador, Gloo, KrakenD, Envoy, et.al. But which one of these is the right one to use in your next project? Let's find out. We will start off by briefly explaining the API gateway pattern and some basic criteria. We then continue by showcasing the most promising ones.
This document provides information about an upcoming MuleSoft Meetup event on Continuous Integration and Continuous Delivery (CI/CD) with MuleSoft. The meetup will include a deep dive on CI/CD workflows using tools like Jenkins, Anypoint CLI, and Groovy scripts to automate API deployment and configuration. The agenda covers manual deployment processes, enabling CI/CD with Anypoint Platform, Jenkins pipeline orchestration, deploying APIs with Anypoint CLI via a connected app, and automatically discovering and configuring APIs and policies within the CD flow. The meetup hosts will also demonstrate setting up API policies and auto discovery within a CI/CD pipeline from Jenkins using Groovy scripts.
1. The document discusses the need for an integration specification to manage APIs that use multiple protocols and styles at large companies. 2. An integration specification would provide a single source of truth for technical metadata about APIs, including how they are structured, the data they manage, and how they relate to each other and enterprise data. 3. This would enable automated API discovery, integration, and management processes by describing APIs and their access to data products at an enterprise level.
This is a session given by Steve Rice at Nordic APIs 2016 Platform Summit on October 26th, in Stockholm Sweden. Description: Once you have an API out in the wild (be it one that’s well designed, or one that grew organically), how do you evolve that API in the future? How do you take something everyone is using in a variety of ways, and distill those needs down into improvements? This talk will walk through a recent major API version update we went through at PagerDuty from beginning to end. This will include details on what kinds of usage data we gathered, how we engaged with users of the API to understand what worked well and what didn’t, and how to break out of some of the existing antipatterns we had. Audience members of this talk will be able to walk away with strategies they can apply to their own APIs (internal or external), testing patterns to consider, and ways to communicate engineering efforts in terms of business and customer value.
This document discusses the evolution of the OpenAPI Specification (formerly known as the Swagger specification) and the formation of the Open API Initiative. It provides an overview of the OpenAPI Specification and how it offers a standard way to define REST APIs. It also outlines how the specification has been adopted broadly and the importance of having a common definition for REST APIs.
In this community call, we will discuss Workflows in WSO2 API Manager: - Overview - Benefits - Available Workflows in WSO2 API Manager - Demonstration
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Running the next generation of cloud-native applications using Open Application Model Open Application Model (OAM) is an abstraction standard that allows platform builders to build developer friendly, highly extensible applications platforms. OAM is designed for platform builders to create application centric platforms by bringing their own workloads and leveraging existing cloud native capabilities through a traits system. Application developers can define applications using components to represent services and traits to define operational aspects like auto-scaling, routing, and monitoring.
apidays LIVE Paris 2021 - APIs and the Future of Software December 7, 8 & 9, 2021 Inside API delivery Pipeline, the checklist! François Lasne, Director Open API & Open Banking at Finastra
This document summarizes an upcoming webinar on evolving API development and testing. The webinar will discuss: - Getting started with the OpenAPI Specification (OAS) and functional API testing using open source tools - The challenges of OAS development at scale including having specs in multiple places, collaboration needs, and integrating development into delivery pipelines - When open source tools are no longer sufficient and it's time to move to pro tools, such as when dynamic test data is needed, testing multiple environments, and including tests in CI/CD pipelines
A look into designing and build RESTful APIs using OpenApi Specification and Swagger tools, with examples in Node.js.
This document discusses API design collaboration and proposes a solution to common problems that occur when teams design APIs in silos. The proposed solution standardizes API design templates, implements a design gap detector and centralized user management. It also automates the generation of API stubs, test cases and pipelines to enable early validation of API contracts across environments. This facilitates more automated collaboration, reduces delays and production fixes, and makes troubleshooting easier through blameless culture adoption and transparency across the end-to-end process.
AWS Community Day | Midwest 2018 Track 1 Serverless Framework Workshop - Tyler Hendrickson, Chicago/burbs