Testing
A runbook that hasn't been used in a real incident is a hypothesis. You've documented a procedure, but you haven't proven it works under the conditions that matter — when the database is actually failing, the on-call engineer has been paged at 2am, and
Chaos Engineering
A game day is a structured team exercise where engineers deliberately break their system — in a controlled way, with everyone watching — to discover weaknesses and practice incident response. It's chaos engineering as a team sport. Unlike continuous chaos experiments, a game day is a scheduled event with preparation,
Testing
Capacity planning is the practice of ensuring your infrastructure can handle future load before that load arrives. SRE teams use a combination of load testing, resource profiling, and traffic modeling to answer: "How much load can we handle, and when do we need to add more capacity?" The
Testing
Enterprise GUI testing for desktop applications has a smaller and more specialized toolset than web testing. Squish (Froglogic/Qt Group), Ranorex (Ranorex GmbH), and Micro Focus UFT (Unified Functional Testing, formerly QuickTest Professional) are the three tools that most frequently appear in evaluations for this category. Each has a distinct
Testing
Most API fuzzing tools throw random bytes at endpoints and hope for 500 errors. RESTler and Schemathesis are different: they understand your API's structure from an OpenAPI or Swagger spec and generate semantically valid but edge-case inputs. This makes them far more effective at finding real bugs
Testing
Fuzzing has found more real-world security vulnerabilities than almost any other technique. The Heartbleed bug, dozens of Chrome V8 exploits, hundreds of ImageMagick CVEs — all found by fuzzers. This isn't coincidence. Fuzzing excels precisely at the class of bugs that matter most in security: edge cases in
Testing
Squish from Froglogic (now part of Qt Group) is one of the few GUI test automation tools that gives you real scripting flexibility without forcing you to use a specific language. Python, JavaScript, Perl, Ruby, and Tcl are all supported as scripting languages for Squish tests. The test logic is
Testing
Squish occupies a specific and important niche in the enterprise test automation landscape: desktop GUI applications, particularly Qt-based applications, that need reliable automated testing across platforms. Understanding why Squish exists, what it does better than alternatives, and where its limits are requires looking at the unique challenges of desktop
Testing
The choice between Functionize and traditional code-based automation (Playwright, Selenium, Cypress) isn't a question of which is "better"—it's a question of which fits your team's constraints and the nature of your application. This comparison works through the key dimensions with
Testing
Squish is built for scripted, repeatable GUI test execution, which makes it a good fit for CI/CD pipelines — in principle. In practice, getting Squish running reliably in CI requires solving several infrastructure problems: license server availability, display requirements for desktop GUI applications, parallel execution architecture, and test result integration.
Testing
Test maintenance is where most automation programs quietly die. A survey by Capgemini put test maintenance at 30–40% of total QA effort in mature Selenium-based test suites. The number is plausible if you've worked on a large web application—every sprint brings DOM changes that break
Testing
Salesforce is notoriously difficult to automate. The platform's triple monthly release cycle means the DOM changes constantly. Lightning Web Components use shadow DOM extensively, which breaks standard CSS selector strategies. Sandbox environments behave differently from production in subtle ways that surface as flaky tests. And enterprise Salesforce orgs