Tag Archives: Netflix API

Continuous Delivery Testing Pathway

This pathway is a tool to help guide your self development in continuous delivery testing. It includes a variety of steps that you may approach linearly or by hopping about to those that interest you most.

Each step includes:

  • links to a few resources as a starting point, but you are likely to need to do your own additional research as you explore each topic.
  • a suggested exercise or two, which focus on reflection, practical application and discussion, as a tool to connect the resources with your reality.

Take your time. Dig deep into areas that interest you. Apply what you learn as you go.

STEP – Removing release testing

Why does this pathway exist? Understand the key reasons to significantly shorten a release process, the arguments against release testing and why organisations aim to avoid batched releases in agile environments:

[2 hours] Research your existing release process and talk to people within your organisation to find out whether there are any current initiatives to improve it.

STEP – Introduction to continuous delivery

What is the end goal? Discover the basics of continuous delivery and the theory of how it can be implemented in organisations.

[1 hour] Based on what you’ve read, try to explain the theory of continuous delivery in your own words to someone in your team. Describe what appeals to you about continuous delivery, what you disagree with, and things that you think will be difficult to implement in your organisation. Afterwards, if you have any remaining questions, raise these with a technical lead or coach for further discussion.

STEP – Experiences in continuous delivery

How are other organisations doing continuous delivery? There is a lot of variance in implementation and differing opinions about how to approach the theory. Understand the realities of the people, processes and tools of teams doing continuous delivery:

[2 hours] Compare the experiences shared in the links above and the theory of continuous delivery. Identify common themes, and areas where ideas or implementation details differ. Discuss your analysis with a technical lead or coach.

STEP – Starting with continuous integration

What is the first step? Understand the concept of continuous integration:

[3 hours] At the start of this talk transcript, Jez Humble points out that most people aren’t doing continuous integration. How does the approach to continuous integration in your team differ to the theory? Talk to a developer to confirm your understanding of your branching strategy, the way you use source control management tools, and how you manage merging to master. If you use a continuous integration tool, create a list of the jobs that are used by your team during development, and be sure that you understand what each one does. Reflect on how quickly your team respond to build failures in these jobs, and who takes ownership for resolving these. Discuss this exercise with a technical lead or coach to collaboratively identify opportunities for improvement, then raise these ideas at your next team retrospective.

STEP – Theory of test automation

Continuous delivery puts a lot of focus on test automation. In order to support development of an effective pipeline it’s important to understand common strategies for automation, and the distinction between checking and testing:

[1 hour] Read through the automation strategy for your product. How well does your existing strategy for automation support your delivery pipeline? What opportunities exist to improve this strategy? Discuss your thoughts with a technical lead or coach.

STEP – A delivery pipeline

Understand how to construct delivery pipeline and the role of automation:

[3 hours] Create a visual representation of the current delivery pipeline for your product. Use a timeline format that shows the build jobs in your continuous integration tool at every stage from development through to production deploy, any test jobs that execute automated suites, and points where the tester is hands-on, exploring the product. Compare your pipeline to the simplified images by Yassal Sundman forcontinuous delivery and continuous deployment, then reflect on the following questions:

  1. How would your approach to testing change, or not, if we were able to deploy to production 10 times a day? How about 100 times a day?
  2. Does the coverage provided by your automation give you a degree of comfort or confidence? If not, what needs to change?
  3. Does your automation execute fast enough? How fast do you think it should be? How can you achieve this?
  4. Where in the pipeline would you want to retain hands-on testing? How would you justify this?

Discuss your ideas with a technical lead or coach. Work together to identify actions from your thinking and determine how to proceed in implementing change.

STEP – Non-functional testing in continuous delivery

Learn more about integrating security, performance, and other non-functional testing in a continuous delivery pipeline:

[2 hours] Does your organisation have a non-functional testing “sandwich”? Having read more about organisations who integrate these activities earlier in the process, what opportunities do you see to improve the way that you work? What would the first steps be? Talk to a technical lead or coach about what you’d like to see change.

STEP – Cross-browser testing

For continuous delivery of a web application, it’s important to include cross-browser testing in the delivery pipeline. Discover strategies for cross-browser testing and the tools available to support it:

[8 hours] Learn more about the common cross-browser tools that are available, understand the advantages and disadvantages of each option, then select a tool to trial. Create a prototype to execute existing browser-based automation for your product across multiple browsers. If successful on your local environment, attempt to create a prototype job in your continuous integration tool to verify that your chosen solution works as part of your continuous integration. Discuss what you learned about the tool and the results of your experiment with a technical lead or coach.

STEP – Test data & databases

Discover the additional considerations around test data in continuous delivery:

[1 hour] Data is a constant headache for testers. Consider the limitations of the test data in use by your automation. How could you improve the data within your delivery pipelines? How could you improve the way that you locate data for testing? Talk through your ideas with a technical lead or coach.

STEP – Configuration management & environments

An effective delivery pipeline is supported by multiple test environments. Learn more about configuration management, environments and infrastructure services in continuous delivery:

[1 hour] Talk to your operations or support team about how they provide test environments for continuous integration, the infrastructure required to support a delivery pipeline, and what their plans are for future changes in this space.

STEP – Testing in production

Understand A/B testing and feature toggles:

[1 hour] Talk to people in your organisation to find out how you currently use feature toggles and how you make decisions about what to keep based on user analytics. Could your approach be more responsive through targeted use of a monitoring tool like splunk? Share your thoughts with a technical lead or coach.

HystrixJS – resilience library for NodeJs applications

via igor_sechyn / hystrixJS — Bitbucket.

This library is inspired by the by the the Netflix Hystrix module for Java applications, which “is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable”.

Part 1: Building microservices with Spring Cloud and Netflix OSS

via Building microservices with Spring Cloud and Netflix OSS, part 1 | Callista Enterprise.

In the previous blog post we defined an operations model for usage of microservices. In this blog post we will start to look at how we can implement the model using Spring Cloud and Netflix OSS. From the operations model we will cover the core parts: service discovery, dynamic routing, load balancing and to some extend an edge server, leaving the other parts to upcoming blog posts.

We will use some core components from Spring Cloud and Netflix OSS to allow separately deployed microservices to communicate with each other with no manual administration required, e.g. keeping track of what ports each microservice use or manual configuration of routing rules. To avoid problems with port conflicts, our microservices will dynamically allocate free ports from a port range at startup. To allow simple access to the microservices we will use an edge server that provides a well known entry point to the microservice landscape.

After a quick introduction of the Spring Cloud and Netflix OSS components we will present a system landscape that we will use throughout the blog series. We will go through how to access the source code and build it. We will also make a brief walkthrough of the source code pointing out the most important parts. Finally we wrap up by running through some test cases on how to access the services and also demonstrate how simple it is to bring up a new instance of a microservice and get the load balancer to start to use it, again without any manual configuration required.

Part 2: Building microservices with Spring Cloud and Netflix OSS

via Building microservices with Spring Cloud and Netflix OSS, part 2 | Callista Enterprise.

In Part 1 we used core components in Spring Cloud and Netflix OSS, i.e. Eureka, Ribbon and Zuul, to partially implement our operations model, enabling separately deployed microservices to communicate with each other. In this blog post we will focus on fault handling in a microservice landscape, improving resilience using Hystrix, Netflix circuit breaker.

Now bad things will start to happen in the system landscape that we established in Part 1. Some of the core services that the composite service depends on will suddenly not respond, jeopardizing the composite service if faults are not handled correctly.

In general we call this type of problem a chain of failures, where an error in one component can cause errors to occur in other components that depend on the failing component. This needs special attention in a microservice based system landscape where, potentially a large number of, separately deployed microservices communicate with each other. One common solution to this problem is to apply a circuit breaker pattern, for details see the book Release It!or read the blog post Fowler – Circuit Breaker. A circuit breaker typically applies state transitions like:

Reactive Programming in the Netflix API with RxJava

via The Netflix Tech Blog: Reactive Programming in the Netflix API with RxJava.

Our recent post on optimizing the Netflix API introduced how our web service endpoints are implemented using a reactive programming model for composition of asynchronous callbacks from our service layer.

This post takes a closer look at how and why we use the reactive model and introduces our open source project RxJava – a Java implementation of Rx (Reactive Extensions).

Podcast: Modern JavaScript with ES6 & ES7

via The Web Platform Podcast : 43: Modern JavaScript with ES6 & ES7.


The world of JavaScript is a large one. AJ O’Neal (@coolAJ86), Podcaster & JavaScript Developer along with Netflix UI Architect & TC-39 Member, Jafar Husain (@jhusain) take us through opinions & facts about the state of the ubiquitous JavaScript language. Modern application development can daunting for developers just coming into web technology & JavaScript. Utilizing the latest & greatest in the language is not as easy as one might think and in some case it may be possible.

Then there are the transpilers & package managers. So many tools to polyfill or shim and features seems like more work than we’d want for a fast production project. Is it worth utilizing the benefits of ES6 & ES7? AJ & Jafar share with us what they think.



Netflix Archaius for property management – Basics

via all and sundry: Netflix Archaius for property management – Basics.

Netflix Archaius provides a neat set of features to load dynamic properties into an application.