Accessibility Testing with Sauce Labs and Deque Integration Demo
Explore how the Sauce Labs and Deque integration empowers you to achieve digital inclusion and ensure compliance with accessibility standards.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
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Building Reliable Systems in an Unpredictable World
Can engineers ever guarantee that nothing will break? @Saurabh Shanbhag explains why unexpected failures are always possible in today’s interconnected tech world. The key is to control what you can and collaborate to build resilient systems. Here’s how to approach it: Watch this episode of Test Case Scenario to learn more about building reliable systems.
Perforce's Approach to Open-Source Communities
Perforce has been contributing and working in open source for decades now. We understand that open source is the linchpin for technology that supports businesses today. Our approach to open source is not unique to the industry at large or a company of our size (we have around 1,700 employees and 800 are on my team), but questions of our approach to open source became much more visible when we acquired Puppet – which has a really dedicated open-source community and a long history with open source.
The Future of Financial Services Testing is Automated
In the fast-paced, highly regulated world of financial services, delivering exceptional service isn’t just about speed – it’s about managing immense complexity. As financial institutions face increasing pressure to innovate, they also carry the weight of maintaining strict security and compliance standards. Test automation is more than just a tool; it empowers teams to modernize with confidence, knowing they can meet both quality expectations and regulatory demands.
Revolutionizing SQL with pipe syntax, now available in BigQuery and Cloud Logging
Support for pipe syntax in GoogleSQL brings the elegance of piped data flow to SQL queries in BigQuery and Cloud Logging.
Subdomain takeover: ignore this vulnerability at your peril
The Domain Name System (DNS) is often described as the address book of the Internet. A and AAAA records map a human-friendly hostname like honeybadger.io to some machine-friendly IP address like 104.198.14.52. Other types of DNS records also exist; in particular, CNAME records are records that map a hostname to some other hostname, thereby delegating IP resolution to the latter.
Ways to Use Mock Services in Software Development
Mocking APIs is a popular practice in software development. An increasing number of developers are reaping the benefits and no longer using their valuable time to spin up duplicate resources. Many mock services do not require account creation, making them easy to use and privacy-friendly. In the rest of this article, we explain what mock APIs are, when you should think about using them, and what solutions are available within the open-source and proprietary markets.
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Simplifying AWS Testing: A Guide to AWS SDK Mock
Testing AWS services is an essential step in creating robust cloud applications. However, directly interacting with AWS during testing can be complicated, time-consuming, and expensive. The AWS SDK Mock is a JavaScript library designed to simplify this process by allowing developers to mock AWS SDK methods, making it easier to simulate AWS service interactions in a controlled environment. Primarily used with AWS SDK v2, AWS SDK Mock integrates with Sinon.js to mock AWS services like S3, SNS, and DynamoDB.
Kubernetes Load Testing: How JMeter and Speedscale Compare
At some point, your development team may be considering implementing load testing (also known as stress testing) as part of your software testing process. Load testing validates that your web app is able to withstand a large number of simultaneous users, decreasing the chance that any traffic spikes will bring down your services once deployed. These stress tests can be highly granular, giving you the opportunity to test run virtually unlimited strategies before they are set into the wild.
Introducing Container Runtime: Enabling Flexible, Scalable Training and Inference on GPUs from a Snowflake Notebook
Predictive machine learning continues to be a cornerstone of data-driven decision-making. However, as organizations accumulate more data in a wide variety of forms, and as modeling techniques continue to advance, the tasks of a data scientist and ML engineer are becoming increasingly complex. Oftentimes, more effort is spent on managing infrastructure, jumping through package management hurdles, and dealing with scalability issues than on actual model development.