Axe is an accessibility testing engine for websites and other HTML-based user interfaces. It's fast, secure, lightweight, and was built to seamlessly integrate with any existing test environment so you can automate accessibility testing alongside your regular functional testing.
When asked what stops them from safely and regularly deploying every change into production environments - everybody seems to have their own reasons. Organizational, cultural, historical, technical, contractual.. Some go as far into denial as saying : "Oh, we don't need continuous delivery. In fact most companies out there don't really need it." But the underlying reason is of course the lack of confidence. Nobody wants to be the culprit for a system outage. According to a number of industry surveys the average cost of one hour of downtime is around 75000 USD. There's a lot at stake! So instead we choose to move slower, to add controlled handoffs and build home-grown guardrails. To hire more Ops engineers and call them SRE to feel more secure. Rarely discussing the price of establishing and maintaining all of these over time.
Engineers who've experienced true CD can't really fathom any other way of delivering software. As @giltayar puts it "CD ... is a total game changer. It changes how you perceive software development and delivering features... I did CD and EVERYTHING about how I developed changed. It was magical."
Jenkins has several "hidden" features that can be enabled with system properties. This page documents many of them and explain how to configure them on your instance.
https://tech.lightspeedhq.com/palisade-version-bumping-at-scale-in-ci/, posted Oct '20 by peter in automation continuousdelivery development versioncontrol
Palisade works by reading two files in the root of your repository:
- A CHANGELOG.md file that describes the changes made to the program
- A VERSION file that contains the current version of the program (ideally following semantic versioning)
Every time Palisade is run, it will check the git repository for version tags based on the contents of the VERSION file. If it finds that the current version has already been tagged, Palisade will do nothing and exit with the exit code 0. If Palisade finds that there is a new release, the software will then read the changelog file, scrape it for release notes, then use those release notes when creating a new release on GitHub.
mkcert is a simple tool for making locally-trusted development certificates. It requires no configuration.
You need two things to effectively move fast: a culture of psychological safety and smart investments in tooling. Employees need to feel empowered to speak up if things are moving too fast—if they are concerned about why a feature is being built and to identify gaps in the processes. They need to feel they won’t be blamed when something breaks. Building this requires empathy, open communication, and teamwork. This psychological safety is the foundation of being able to move quickly and quickly recover when things break.
Next up is selecting the right tooling and processes. Invest in tools that make things easier. Tools should be useful, usable, and change the underlying problems, not create more.
Most web apps need login information of some kind, and it is a bad idea to put them in your source code where it gets saved to a git repository that everyone can see. Usually these are handled by environment variables, but Docker has come up with what they call Docker secrets. The idea is deceptively simple in retrospect. While you figure it out it is arcane and difficult to parse what is going on.
Inject your own scripts into black box processes. Hook any function, spy on crypto APIs or trace private application code, no source code needed. Edit, hit save, and instantly see the results. All without compilation steps or program restarts.
Geb is a browser automation solution.
It brings together the power of WebDriver, the elegance of jQuery content selection, the robustness of Page Object modelling and the expressiveness of the Groovy language.
It can be used for scripting, scraping and general automation — or equally as a functional/web/acceptance testing solution via integration with testing frameworks such as Spock, JUnit & TestNG.
In my first decade writing Makefiles, I developed the bad habit of liberally using GNU Make’s extensions. I didn’t know the line between GNU Make and the portable features guaranteed by POSIX. Usually it didn’t matter much, but it would become an annoyance when building on non-Linux systems, such as on the various BSDs. I’d have to specifically install GNU Make, then remember to invoke it (i.e. as
gmake) instead of the system’s
I’ve since become familiar and comfortable with make’s official specification, and I’ve spend the last year writing strictly portable Makefiles. Not only has are my builds now portable across all unix-like systems, my Makefiles are cleaner and more robust. Many of the common make extensions — conditionals in particular — lead to fragile, complicated Makefiles and are best avoided anyway. It’s important to be able to trust your build system to do its job correctly.
This tutorial should be suitable for make beginners who have never written their own Makefiles before, as well as experienced developers who want to learn how to write portable Makefiles.