The document discusses smoke testing, which are simple preliminary tests done after a software deployment to check for failures. It recommends conducting smoke tests that are fast, test key URLs and parameters, and validate status codes, response times, and that a response body is returned. The document then provides details on implementing concurrent smoke tests in PHP using a library that runs tests concurrently and collects results. It also outlines the server architecture used to route requests and deploy code, with smoke tests running before new code is switched to live.
Terraform, is no doubt very flexible and powerful. The question is, how do we write Terraform code and construct our infrastructure in a reproducible fashion that makes sense? How can we keep code DRY, segment state, and reduce the risk of making changes to our service/stack/infrastructure?
HashiCorp’s infrastructure management tool, Terraform, is no doubt very flexible and powerful. The question is, how do we write Terraform code and construct our infrastructure in a reproducible fashion that makes sense? How can we keep code DRY, segment state, and reduce the risk of making changes to our service/stack/infrastructure?
This talk describes a design pattern to help answer the previous questions. The talk is divided into two sections, with the first section describing and defining the design pattern with a Deployment Example. The second part uses a multi-repository GitHub organization to create a Real World Example of the design pattern.
A Hands-on Introduction on Terraform Best Concepts and Best Practices Nebulaworks
At our OC DevOps Meetup, we invited Rami Al-Ghami, a Sr. Software engineer at Workday to deliver a presentation on a Hands-On Terraform Best Concepts and Best Practices.
The software lifecycle does not end when the developer packages their code and makes it ready for deployment. The delivery of this code is an integral part of shipping a product. Infrastructure orchestration and resource configuration should follow a similar lifecycle (and process) to that of the software delivered on it. In this talk, Rami will discuss how to use Terraform to automate your infrastructure and software delivery.
Terraform, is no doubt very flexible and powerful. The question is, how do we write Terraform code and construct our infrastructure in a reproducible fashion that makes sense? How can we keep code DRY, segment state, and reduce the risk of making changes to our service/stack/infrastructure?
HashiCorp’s infrastructure management tool, Terraform, is no doubt very flexible and powerful. The question is, how do we write Terraform code and construct our infrastructure in a reproducible fashion that makes sense? How can we keep code DRY, segment state, and reduce the risk of making changes to our service/stack/infrastructure?
This talk describes a design pattern to help answer the previous questions. The talk is divided into two sections, with the first section describing and defining the design pattern with a Deployment Example. The second part uses a multi-repository GitHub organization to create a Real World Example of the design pattern.
A Hands-on Introduction on Terraform Best Concepts and Best Practices Nebulaworks
At our OC DevOps Meetup, we invited Rami Al-Ghami, a Sr. Software engineer at Workday to deliver a presentation on a Hands-On Terraform Best Concepts and Best Practices.
The software lifecycle does not end when the developer packages their code and makes it ready for deployment. The delivery of this code is an integral part of shipping a product. Infrastructure orchestration and resource configuration should follow a similar lifecycle (and process) to that of the software delivered on it. In this talk, Rami will discuss how to use Terraform to automate your infrastructure and software delivery.
Introduction to Terraform - presented at the Perth Python & Django meetup on March 1 2018. Demo code repo can be found here: https://github.com/jaymickey/terraform-demo
PyCon AU 2012 - Debugging Live Python Web ApplicationsGraham Dumpleton
Monitoring tools record the result of what happened to your web application when a problem arises, but for some classes of problems, monitoring systems are only a starting point. Sometimes it is necessary to take more intrusive steps to plan for the unexpected by embedding mechanisms that will allow you to interact with a live deployed web application and extract even more detailed information.
A journey through the wonderful world of Node.js C++ addons. This talk was given at the September 8, 2015 NodeMN meetup.
Code: https://github.com/cb1kenobi/nodemn
Even for JavaScript software developers well-versed in Agile practices, using test-driven development in Node.js and Express can be challenging. In this presentation, I identify solutions to some of the most significant challenges to using TDD with Express, including mocking data in MongoDB / Mongoose, using promises to control asynchronous testing in Mocha with Chai, and separating concerns to write robust and enduring test suites.
Design and code your first project using Spark and Tropo APIs. Use Spark APIs to integrate, extend, and customize Spark experiences and Tropo APIs to embed voice and SMS services to enhance business processes and deepen customer engagements, or integrate your favourite applications with Spark using an app integration service.
In this workshop, we will show you how with our easy-to-use APIs. Whether you are a seasoned developer or a curious IT professional, you will learn how to work with our open platforms and create your own applications and integrations. The most creative integration will receive a $1000 Apple gift card. (please bring your laptops and your imaginations).
A presentation about combining the powers of the Go language and Asterisk in order to provide fast, reliable and hugely scalable voice applications. A brief introduction about why Go presents a big opportunity for the asterisk community, a primer into developing FastAGI applications, demonstration of the AGI package [1] and a walk through the idioms and challenges of developing in Go. The talk is focused mainly on our experience of porting existing code into Go with the aim to scale our services to larger numbers accompanied with benchmarks and an introduction to some tools [2] we developed to help us test, debug and benchmark AGI applications.
Introduction to Terraform - presented at the Perth Python & Django meetup on March 1 2018. Demo code repo can be found here: https://github.com/jaymickey/terraform-demo
PyCon AU 2012 - Debugging Live Python Web ApplicationsGraham Dumpleton
Monitoring tools record the result of what happened to your web application when a problem arises, but for some classes of problems, monitoring systems are only a starting point. Sometimes it is necessary to take more intrusive steps to plan for the unexpected by embedding mechanisms that will allow you to interact with a live deployed web application and extract even more detailed information.
A journey through the wonderful world of Node.js C++ addons. This talk was given at the September 8, 2015 NodeMN meetup.
Code: https://github.com/cb1kenobi/nodemn
Even for JavaScript software developers well-versed in Agile practices, using test-driven development in Node.js and Express can be challenging. In this presentation, I identify solutions to some of the most significant challenges to using TDD with Express, including mocking data in MongoDB / Mongoose, using promises to control asynchronous testing in Mocha with Chai, and separating concerns to write robust and enduring test suites.
Design and code your first project using Spark and Tropo APIs. Use Spark APIs to integrate, extend, and customize Spark experiences and Tropo APIs to embed voice and SMS services to enhance business processes and deepen customer engagements, or integrate your favourite applications with Spark using an app integration service.
In this workshop, we will show you how with our easy-to-use APIs. Whether you are a seasoned developer or a curious IT professional, you will learn how to work with our open platforms and create your own applications and integrations. The most creative integration will receive a $1000 Apple gift card. (please bring your laptops and your imaginations).
A presentation about combining the powers of the Go language and Asterisk in order to provide fast, reliable and hugely scalable voice applications. A brief introduction about why Go presents a big opportunity for the asterisk community, a primer into developing FastAGI applications, demonstration of the AGI package [1] and a walk through the idioms and challenges of developing in Go. The talk is focused mainly on our experience of porting existing code into Go with the aim to scale our services to larger numbers accompanied with benchmarks and an introduction to some tools [2] we developed to help us test, debug and benchmark AGI applications.
This workshop is a hands-on training where a real Zend Framework application is used as an example to start improving QA using tools to test, document and perform software metric calculations to indicate where the software can be improved. I also explain the reports produced by a CI system.
If you build web applications you now have a huge responsibility: everything must be tested and secured. But how do you test and secure legacy applications or how do you get started with a new project using test-driven techniques to maximise quality and security without investing too much time in it.
In this workshop we will start with a clean project and build a simple catalogue application using test-driven and security-hardened techniques to achieve our goal. Once we have achieved our goal, we're going to apply the same on a legacy application.
PuppetDB: A Single Source for Storing Your Puppet Data - PUG NYPuppet
James Sweeney presents on "PuppetDB: A Single Source for Storing Your Puppet Data" at Puppet User Group NYC.
Video: http://www.youtube.com/watch?v=HTr4b02aU7A
Puppet NYC: http://www.meetup.com/puppetnyc-meetings/
Altitude San Francisco 2018: Testing with Fastly WorkshopFastly
A crucial step for continuous integration and continuous delivery with Fastly is testing the service configuration to provide confidence in changes. This workshop will cover unit-testing VCL, component testing a service as a black box, systems testing a service end-to-end and stakeholder acceptance testing.
fog or: How I Learned to Stop Worrying and Love the CloudWesley Beary
Learn how to easily get started on cloud computing with fog. If you can control your infrastructure choices, you’ll make better choices in development and get what you need in production. You'll get an overview of fog and concrete examples to give you a head start on your provisioning workflow.
Description
If you want to get data from the web, and there are no APIs available, then you need to use web scraping! Scrapy is the most effective and popular choice for web scraping and is used in many areas such as data science, journalism, business intelligence, web development, etc.
Abstract
If you want to get data from the web, and there are no APIs available, then you need to use web scraping! Scrapy is the most effective and popular choice for web scraping and is used in many areas such as data science, journalism, business intelligence, web development, etc.
This workshop will provide an overview of Scrapy, starting from the fundamentals and working through each new topic with hands-on examples.
Participants will come away with a good understanding of Scrapy, the principles behind its design, and how to apply the best practices encouraged by Scrapy to any scraping task.
Goals:
Set up a python environment.
Learn basic concepts of the Scrapy framework.
fog or: How I Learned to Stop Worrying and Love the Cloud (OpenStack Edition)Wesley Beary
Cloud computing scared the crap out of me - the quirks and nightmares of provisioning cloud computing, dns, storage, ... on AWS, Terremark, Rackspace, ... - I mean, where do you even start?
Since I couldn't find a good answer, I undertook the (probably insane) task of creating one. fog gives you a place to start by creating abstractions that work across many different providers, greatly reducing the barrier to entry (and the cost of switching later). The abstractions are built on top of solid wrappers for each api. So if the high level stuff doesn't cut it you can dig in and get the job done. On top of that, mocks are available to simulate what clouds will do for development and testing (saving you time and money).
You'll get a whirlwind tour of basic through advanced as we create the building blocks of a highly distributed (multi-cloud) system with some simple Ruby scripts that work nearly verbatim from provider to provider. Get your feet wet working with cloud resources or just make it easier on yourself as your usage gets more complex, either way fog makes it easy to get what you need from the cloud.
The OpenStack Edition adds my concerns about OpenStack API development, including things that have already been fixed and things that we haven't yet encountered. Hopefully this consumer perspective can help shed light on some rough spots.
Vagrant + Rouster at salesforce.com - PuppetConf 2013Puppet
"Vagrant + Rouster at salesforce.com" by Conor Horan-Kates
Senior Member of the Technical Staff, Quality Engineering, salesforce.com.
Speaker Presentation: Rouster is an abstraction layer between you and Vagrant. At salesforce.com, we're using it to assist in running functional tests of the Puppet code we've written. While RSpec is significantly faster, it really only tells you whether the catalog contains what you expect it to - not whether those things can/will be applied successfully - and that's where Rouster comes in.
Currently the library contains many hooks for system level testing and information gathering (is_file?(), is_user_in_group?(), is_service?()) and puppet related functionality (get_catalog(), parse_catalog(), run_puppet()), but we're looking to expand.
Speaker Bio: Conor Horan-Kates is a Senior Member of the Technical Staff in the Quality Engineering organization supporting Data Center Automation. In this role, Conor has planned and implemented test environments, created testing and development best practices and developed applications, automated tests, and test frameworks. Most recently, Rouster, an abstraction layer for Vagrant. At salesforce.com, Conor has been involved in many aspects of building the infrastructure, from initial contributions to a CMDB, testing of switch/load balancer/ACL creation automation and now, bringing the build and maintenance lifecycle into Puppet. Additionally, he has written a testing framework that interfaces with salesforce.com records, Test::More::Salesforce, and a learn-by-testing project called Perl::Koans. Prior to salesforce.com, Conor worked in QA at the antimalware company Webroot.
Let's read code: the python-requests librarySusan Tan
Imagine you’re a new engineer at a workplace who has to learn a new unfamiliar codebase. After you acquire a copy of the repo, what is your next step? How do you dissect a codebase to understand its inner workings? This is a guided walkthrough of reading the widely used python-requests project, which gets over 18,000 downloads per day and powers many of the world’s REST-based APIs.
This is the front-page example code that demonstrates the python-requests library: "requests.get(url)". We'll see how this example code is all implemented underneath the hood.
These are the slides for a conference talk in Nashville for PyTN 2016. Full talk description: https://www.pytennessee.org/schedule/presentation/90/
Developers are known to have an inner drive to always find better solutions to their problems, but there is a predominant dilemma going on in today’s tech market: Developers are keen to learn new programming languages and frameworks while companies aren’t willing to invest heavily into knowledge with ever decreasing half-life. This dilemma can be resolved. Spoiler: New technology is not always the answer.
When developing an app you have a lot of decisions to make because you have a lot of topics to deal with. In this talk I’m going to give you a general view on the different challenges we faced whilst working on our first React Native app.
by Jan Wessel (Senior Frontend Developer @kartenmacherei)
Many of us have developed (or at least worked on) an API, but have you versioned one? In this talk I walk through the ups and downs, and the tools involved for using Docker to version the backend of our Celebrate App.
"Today it's crystal clear why we need unit tests. Even integration and acceptance tests are quite common but who is making sure that your pages are working in production environment? I'd like to show in detail how smoke tests will help achieving this goal and why you should try to burn down your production server."
This is a hands-on talk about how we use excessive smoke tests in our continuous deployment to make sure a freshly rolled-out release can actually go live.
Revised talk held by Sebastian Thoß and Sebastian Heuer at International PHP Conference 2016 in Munich.
"Legacy software can be like a zombie: it somehow still works, but nobody would consider it alive and well anymore and the thought of having to touch it makes you want to run away. So what can you do to get rid of it? We are currently replacing our monolithic e-commerce platform with a shiny new custom-tailored solution and want to show you what we do and what we have already learned."
Everyone agrees that unit tests are essential for building robust and maintainable software components. But how much code coverage should a project have? We claim that even 99% coverage is not enough.
We will show how we write tests, what we needed to do in order to make our code testable and why reaching the magical goal of 100% code coverage is so important to us.
Legacy software can be like a zombie: it somehow still works, but nobody would consider it alive and well anymore and the thought of having to touch it makes you want to run away. So what can you do to get rid of it?
We are currently replacing our monolithic e-commerce platform with a shiny new custom-tailored solution and want to show you what we do and what we have already learned.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
ER(Entity Relationship) Diagram for online shopping - TAEHimani415946
https://bit.ly/3KACoyV
The ER diagram for the project is the foundation for the building of the database of the project. The properties, datatypes, and attributes are defined by the ER diagram.
27. What are SmokeTests?
In computer programming and
software testing, smoke testing is
preliminary testing to reveal simple
failures severe enough to reject a
prospective software release.
Source: https://en.wikipedia.org/wiki/Smoke_testing
29. SmokeTests should…
• … be simple
• … be fast
• … test pages with optional parameters too
• … cover at least all URLs in google index
• … use a manual maintained list of URLs
30. How do SmokeTests work?
https://www.my-application.com/foo
<html><body>…</body></html>
TTFB: 65ms
HTTP 1.1/200 OK
SmokeTest
Client
CI Server
Application
to test
Production Server
31. How do SmokeTests work?
https://www.my-application.com/foo
<html><body>…</body></html>
TTFB: 320ms
HTTP 1.1/200 OK
SmokeTest
Client
CI Server Production Server
Application
to test
32. What should SmokeTests validate?
• Status code
• Time to first byte
• If body is provided
• Correct server
33. SmokeTests are NOT Acceptance Tests
SmokeTest
Client
HTTP 1.1/200 OK
<html>
<head>
<title>Foo</title>
<body>
<div id="bar"><span>foobar</span></div>
</body>
</html>
34. namespace KartenmachereiTesting;
use PHPUnit_Framework_TestCase;
class SmokeTest extends PHPUnit_Framework_TestCase
{
/**
* @dataProvider furyUrlProvider
*
* @param Url $url
*/
public function testFuryUrl(Url $url)
{
$result = $this->sendGetRequest($url);
$this->assertSame(200, $result->getStatusCode());
$this->assertNotEmpty($result->getBody());
$this->assertLessThanOrEqual(100, $result->getTimeToFirstByteInMilliseconds());
}
public function furyUrlProvider()
{
$urls = ['http://www.kartenmacherei.de', …];
$urlCollection = UrlCollection::fromStrings($urls);
return $urlCollection->asDataProviderArray($urlCollection);
}
46. class SmokeTest extends PHPUnit_Framework_TestCase
{
use SmokeTestTrait;
/**
* @dataProvider myDataProvider
*/
public function testExample(Result $result)
{
$this->assertSuccess($result);
$this->assertTimeToFirstByte(new TimeToFirstByte(100), $result);
$this->assertBodyNotEmpty($result);
$this->assertHeaderExists(Header::fromPrimitives(‘App-Server', ‘Fury’), $result);
}
public function myDataProvider()
{
$urls = ['http://www.kartenmacherei.de', …];
$options = new SmokeTestOptions(
UrlCollection::fromStrings($urls),
new RequestTimeout(2),
new FollowRedirects(true),
new Concurrency(3),
new BodyLength(500)
);
return $this->runSmokeTests($options);
}
47. class SmokeTest extends PHPUnit_Framework_TestCase
{
use SmokeTestTrait;
/**
* @dataProvider myDataProvider
*/
public function testExample(Result $result)
{
$this->assertSuccess($result);
$this->assertTimeToFirstByte(new TimeToFirstByte(100), $result);
$this->assertBodyNotEmpty($result);
$this->assertHeaderExists(Header::fromPrimitives(‘App-Server', ‘Fury’), $result);
}
public function myDataProvider()
{
$urls = ['http://www.kartenmacherei.de', …];
$options = new SmokeTestOptions(
UrlCollection::fromStrings($urls),
new RequestTimeout(2),
new FollowRedirects(true),
new Concurrency(3),
new BodyLength(500)
);
return $this->runSmokeTests($options);
}
48. class SmokeTest extends PHPUnit_Framework_TestCase
{
use SmokeTestTrait;
/**
* @dataProvider myDataProvider
*/
public function testExample(Result $result)
{
$this->assertSuccess($result);
$this->assertTimeToFirstByte(new TimeToFirstByte(100), $result);
$this->assertBodyNotEmpty($result);
$this->assertHeaderExists(Header::fromPrimitives(‘App-Server', ‘Fury’), $result);
}
public function myDataProvider()
{
$urls = ['http://www.kartenmacherei.de', …];
$options = new SmokeTestOptions(
UrlCollection::fromStrings($urls),
new RequestTimeout(2),
new FollowRedirects(true),
new Concurrency(3),
new BodyLength(500)
);
return $this->runSmokeTests($options);
}
49. class SmokeTest extends PHPUnit_Framework_TestCase
{
use SmokeTestTrait;
/**
* @dataProvider myDataProvider
*/
public function testExample(Result $result)
{
$this->assertSuccess($result);
$this->assertTimeToFirstByte(new TimeToFirstByte(100), $result);
$this->assertBodyNotEmpty($result);
$this->assertHeaderExists(Header::fromPrimitives(‘App-Server', ‘Fury’), $result);
}
public function myDataProvider()
{
$urls = ['http://www.kartenmacherei.de', …];
$options = new SmokeTestOptions(
UrlCollection::fromStrings($urls),
new RequestTimeout(2),
new FollowRedirects(true),
new Concurrency(3),
new BodyLength(500)
);
return $this->runSmokeTests($options);
}
50. class SmokeTest extends PHPUnit_Framework_TestCase
{
use SmokeTestTrait;
/**
* @dataProvider myDataProvider
*/
public function testExample(Result $result)
{
$this->assertSuccess($result);
$this->assertTimeToFirstByte(new TimeToFirstByte(100), $result);
$this->assertBodyNotEmpty($result);
$this->assertHeaderExists(Header::fromPrimitives(‘App-Server', ‘Fury’), $result);
}
public function myDataProvider()
{
$urls = ['http://www.kartenmacherei.de', …];
$options = new SmokeTestOptions(
UrlCollection::fromStrings($urls),
new RequestTimeout(2),
new FollowRedirects(true),
new Concurrency(3),
new BodyLength(500)
);
return $this->runSmokeTests($options);
}
51. class SmokeTest extends PHPUnit_Framework_TestCase
{
use SmokeTestTrait;
/**
* @dataProvider myDataProvider
*/
public function testExample(Result $result)
{
$this->assertSuccess($result);
$this->assertTimeToFirstByte(new TimeToFirstByte(100), $result);
$this->assertBodyNotEmpty($result);
$this->assertHeaderExists(Header::fromPrimitives(‘App-Server', ‘Fury’), $result);
}
public function myDataProvider()
{
$urls = ['http://www.kartenmacherei.de', …];
$options = new SmokeTestOptions(
UrlCollection::fromStrings($urls),
new RequestTimeout(2),
new FollowRedirects(true),
new Concurrency(3),
new BodyLength(500)
);
return $this->runSmokeTests($options);
}
53. Features to come next
• Improve ErrorResult object
• Introduce assertions for Redirects
• Improve quality of error message
• 2nd version based on PHPUnit 6
59. RDBMS
Read Slave
Webserver
FURY Frontend
Server A
K/V StoreSearch
FURY Backend
Webserver (Router)
Build Server
Deploy Code
active = B
60. RDBMS
Read Slave
Webserver
FURY Frontend
Server A
K/V StoreSearch
FURY Backend
Webserver (Router)
Build Server
Deploy Code
Collect & Export
active = B
61. Webserver
FURY Frontend
Server A
K/V StoreSearch
FURY Backend
Webserver (Router)
Build Server
Deploy Code
Collect & Export
Smoke Tests
active = B
RDBMS
Read Slave
62. Webserver
FURY Frontend
Server A
K/V StoreSearch
FURY Backend
Webserver (Router)
Build Server
Deploy Code
Collect & Export
Smoke Tests
active = B
RDBMS
Read Slave
63. Webserver
FURY Frontend
Server A
K/V StoreSearch
FURY Backend
Webserver (Router)
Build Server
Deploy Code
Collect & Export
Smoke Tests
active = B
RDBMS
Read Slave
64. Webserver
FURY Frontend
Server A
K/V StoreSearch
FURY Backend
Webserver (Router)
Build Server
Deploy Code
Collect & Export
Smoke Tests
Switch to A
active = Bactive = A
RDBMS
Read Slave
65. Conclusion
• Write tests
• Get 100% coverage
• SmokeTest your Website
• Only activate server if it didn’t start smoking