This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Stranger Things imagery showcasing the inspiration for the Hawkins Design System by Hawkins team member Joshua Godi ; with art contributions by Wiki Chaves Hawkins may be the name of a fictional town in Indiana, most widely known as the backdrop for one of Netflix’s most popular TV series “Stranger Things,” but the name is so much more.
The FedRAMP Moderate baseline is designed to protect sensitive data that, if compromised, could seriously adversely affect operations, assets, or individuals. FedRAMP assessments for Moderate and High systems now require an annual Red Team exercise (in addition to the previously required penetration tests).
Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , and Colin McFarland This is the fourth post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. Have a look at Part 1 (Decision Making at Netflix), Part 2 (What is an A/B Test?), Need to catch up?
Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , and Colin McFarland This is the third post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. Have a look at Part 1 (Decision Making at Netflix) and Part 2 (What is an A/B Test?). Need to catch up?
If you start catching bugs early, it will save you tons of time fixing them later.nn> Design reviewnnIt’s a very powerful tool when used in a good way. I really like what one of the smartest people with whom I worked said: “A good design is a design where you can see the code”. There are so many benefits.
Designing an effective AI learning path that worked with the Head First methodwhich engages readers through active learning and interactive puzzles, exercises, and other elementstook months of intense research and experimentation. A learner who uses AI to do the exercises will struggle to build those skills.
Any time you run a test with WebPageTest, you’ll get this table of different milestones and metrics. Note the bottom row shows me the Standard Deviation of the tests’ results. The whole point of the exercise that follows is to allow me to move quickly, spotting patterns from afar, and not having to do any slow or meticulous work yet.
OReilly author Andrew Stellman recommends several exercises for learning to use AI effectively. A good next step is asking an AI assistant to generate unit tests, either for existing code or some new code (which leads to test-driven development). We already know how to build some evaluation suites that test AIs reliability.
Many organizations already employ DevOps, an approach to developing software that combines development and operations in a continuous cycle to build, test, release, and refine software in an efficient feedback loop. Traditionally, application security testing sits as a discrete stage between development and operations.
The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. It leverages elasticity of the cloud by design?—?both The steps can be arbitrary Python code. Metaflow is a cloud-native framework.
Frustrating Design Patterns: Disabled Buttons. Frustrating Design Patterns: Disabled Buttons. After all, as designers and developers, we want to make it more difficult for our users to make mistakes. Part Of: Design Patterns. And because something is happening, they usually exercise a good amount of patience first.
Migration Testing Infrastructure Our monolith had been around for many years and hadn’t been created with functional and unit testing in mind, so those were independently bolted on by each UI team. For the migration, testing was a first-class citizen. Replay Testing Enter replay testing.
I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. Dynatrace news. This blog summarizes our great conversation for the posed questions.
Welcome back to the blog series in which we show how you can easily solve three common problem scenarios by using Dynatrace and xMatters Flow Designer. The new version of the application is deployed in the green environment and tested for functionality and performance. Step 6 — Flow Designer rolls back through keptn.
The Azure Well-Architected Framework is a set of guiding tenets organizations can use to evaluate architecture and implement designs that will scale over time. Design efficient use of your computing resources as demand changes and technologies evolves. Design applications to recover from errors gracefully. Reliability.
JavaScript Design Patterns. Knights of the Flexbox Table is another well-designed interactive course to help you learn the different aspects of the flexbox specification. On design systems, CSS/JS and UX. CSS Selectors Cheatsheet is an interactive exercise to test your understanding of CSS selectors. CSS Flexbox.
From Good To Great In Dashboard Design: Research, Decluttering And Data Viz. From Good To Great In Dashboard Design: Research, Decluttering And Data Viz. Tossing out suboptimal parts of our design can be a daunting task, especially after you’ve invested hours of work into it. Mediocre vs Great Dashboard Design.
However, it’s essential to exercise caution: Limit the quantity of SLOs while ensuring they are well-defined and aligned with business and functional objectives. Error budget burn rate = Error Rate / (1 – Target) Best practices in SLO configuration To detect if an entity is a good candidate for strong SLO, test your SLO.
As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. Amid so much change, teams can no longer rely on time-consuming, manual approaches for building, testing, operating, and upgrading software.
Smashing Podcast Episode 41 With Eva PenzeyMoog: Designing For Safety. Smashing Podcast Episode 41 With Eva PenzeyMoog: Designing For Safety. In this episode, we’re talking about designing for safety. What does it mean to consider vulnerable users in our designs? Design for Safety from A Book Apart. Drew McLellan.
Hosted and moderated by Amazon, AWS GameDay is a hands-on, collaborative, gamified learning exercise for applying AWS services and cloud skills to real-world scenarios. Take a trial test at Linux Academy if it’s applicable to the cert you have in mind. As of June 2021, Amazon currently offers 11 certifications.
Basis path testing in software testing is a white box method where the tester examines the codebase to identify all possible paths that could be taken by the user to achieve their aims. These paths are then written as test cases to ensure all the different identified scenarios in the main branches are covered.
You can always ask a question live , you can share your screen and get immediate feedback, and you can work on group exercises with people around the world. Live discussions and interactive exercises are at the very heart of every workshop, with group work, homework, reviews and live interaction with people around the world.
The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. It leverages elasticity of the cloud by design?—?both The steps can be arbitrary Python code. Metaflow is a cloud-native framework.
The end result is the first major update to BetterTLS since its first release : a new suite of tests to exercise TLS implementations’ certificate path building. As service owners, having test suites that can answer these questions can guide decision making. specification and the final version. final specification released 2018).
To ensure our site performs uniformly across multiple browsers, we perform cross-browser testing. As the name suggests, cross-browser testing is a testing approach that ensures our website/app performs as intended across various devices and browser-OS combinations. 5 Signs You Need to Choose Cross-Browser Testing on the Cloud.
In effect, the engineer designs and builds the world wherein the software operates. The applications must be integrated to the surrounding business systems so ideas can be tested and validated in the real world in a controlled manner. An Overarching Concern: Correctness and Testing. Why did something break?
Ethics are an important part of human-computer interaction because they keep people at the heart of the design process. As UX practitioners, we know empathy is an important part of the design process. Interaction Design Foundation. How To Build An Ethical User Research Practice At Any Organization. Devin Harold.
The thing is, that Marketing component probably talks to other components itself, which then would have to go through the same migration or duplication exercise (together with the components they talk to). Imagine if any issues arose during testing or ( shudder ) in production, and you had to pinpoint where the problem lay.
You might know it already, but perhaps not yet: we regularly run friendly online workshops around front-end and design. Live discussions and interactive exercises are at the very heart of every workshop, with group work, homework, reviews and live interaction with people around the world. Iris Lješnjanin. 2021-09-08T08:00:00+00:00.
Background in a nutshell: In C++, code that (usually accidentally) exercises UB is the primary root cause of our memory safety and security vulnerability issues. And its designed to be super adoptable to bring existing code forward: Many of the improvements are adoptable without any code changes (really!)
Before designing a better system for detecting partial failures, the authors set about understanding their nature and causes through a study of five software systems (ZooKeeper, Cassandra, HDFS, Apache, and Mesos). Heartbeat and HTTP-based tests are too generic and too divorced from the monitored process’ state.
You can see that in the workday I’ve marked the dark blue as ‘getting tasks done’, which represented product design for my case. Exercise/outdoors. Design and development. In my records for the entire day, I put one color code for my work hours and will have a separate diagram specifically to break up my work hours. Networking.
So, we thought of sharing some tips and tricks with the testing community that is working from home, aiming to improve their working experience overall. This is critical since even if a small detail is missed the results can be catastrophic from a testing perspective. Maintain continuous team collaboration.
then true else false end FROM generate_series(1, 10000000); Now we have our test table with some dummy data so we can practice. then true else false end FROM generate_series(1, 10000000); Now we have our test table with some dummy data so we can practice. Next is the table definition.
This ruling in itself raises many questions: how much creativity is needed, and is that the same kind of creativity that an artist exercises with a paintbrush? I can also ask for a reading list about plagues in 16th century England, algorithms for testing prime numbers, or anything else.
It’s also awkward, an exercise of the blindfolded people describing the pachyderm. No surprise that strategic planning exercises tend to produce a lot of “what to do” options, which they present as a portfolio of strategic opportunities. Defining the opportunity through a thorough understanding what’s going on is hard. And that’s ok.
This can be changed later using the pg_checksums utility, but that will be a painful exercise on a big database. Here is an example of the function definition to test the function-level settings. This is the level at which decisions on whether to use data_checksums need to be taken.
Thank you to the following for their feedback on drafts of this material: Howard Hinnant (lead designer and author of move semantics), Jens Maurer, Arthur O’Dwyer, Geoffrey Romer, Bjarne Stroustrup, Andrew Sutton, Ville Voutilainen, Jonathan Wakely. This post is an attempt to shed light on that situation.
assert The C-style assert is a macro that is evaluated at execution time (hopefully enabled at least during your unit testing! A failed assertion means that we checked and found the tested variables to be in an unexpected state, which means at least that part of the program’s state is corrupt. see question 4) if NDEBUG is not set.
There are many possible failure modes, and each exercises a different aspect of resilience. Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. STPA is based on a functional control diagram of the system, and the safety constraints and requirements for each component in the design.
This is a fascinating paper from members of Netflix’s Resilience Engineering team describing their chaos engineering initiatives: automated controlled experiments designed to verify hypotheses about how the system should behave under gray failure conditions, and to probe for and flush out any weaknesses. Safeguards.
The scenario Service considerations In this exercise, we wanted to perform a major version upgrade from PostgreSQL v12.16 Percona Distribution for PostgreSQL provides the best and most critical enterprise components from the open-source community, in a single distribution, designed and tested to work together.
The PageSpeed Module is one of several free Google tools designed to help assess and improve page load speed times. This is technical documentation designed for developers, though, so if you’re new to all this, be prepared for a how-to guide that isn’t exactly a hand-holding step by step with visual references.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content