๐ Thank You Note from the GitTogether Team! ๐
@Keployio held GitTogether in collaboration with the @googledevs team, celebrating the spirit of open source! ๐
With over 100 participants joining us from various cities, a heartfelt thank you to everyone who attended and contributed to making this event memorable. ๐๐๐ป
Special thanks to @googledevs team and our incredible speakers, including Stephanie Taylor, @kunaldeo, @mvkaran, @slayerjain , @smilinrobin , @adityaoberai , @HaimantikaM , @sangamtwts , @tapasadhikary , @guneshpatil , @hrittikhere , @mediocreDevops , @MeghaKadur for their invaluable insights. Thanks to our community partners @ReactPlayIO@lambdatesting@FOSSUnited@ministryoftest@Docker for all the support. ๐ซฐ
We're inspired by the enthusiasm and commitment towards free and open-source software and look forward to organizing more such events in the future. ๐๐
Let's continue to innovate, collaborate, and drive positive change together! ๐
#OpenSource #Gittogether #Keploy #GoogleForStartups
TDD vs BDD isnโt a versus: TDD proves your code is correct, BDD proves youโre building the right thing. The best teams use both.
Our guide breaks down each, with examples, plus where Keploy fits.
๐ https://t.co/FiEqpj6Rvi
#TDDvsBDD#TestAutomation
Testing a microservice in isolation is the easy part.
The hard part is making sure 10 services still work together after one of them changes.
Hereโs how to build a testing strategy that covers both ๐
https://t.co/OZxgcFR0r8
#MicroservicesTesting#APITesting#DevOps
Manual vs automation testing isnโt either/or: humans for judgment, scripts for scale, each for the right test.
Our guide compares both, plus how Keploy turns manual API testing into automated tests.
๐ https://t.co/OTaUKalOoe
#ManualVsAutomationTesting#QA
Accessibility testing tools catch missing alt text and low contrast, not whether a screen reader user can actually finish checkout.
Our guide covers the best practices that close the gap.
๐ https://t.co/freJ6GfckT
#AccessibilityTesting#A11y
Waiting for a dependency to be available before you can test is a process problem, not a technical one.
API simulation removes the wait and keeps CI deterministic while youโre at it.
Complete Guide๐
https://t.co/WKTc64IuOl
#APISimulation#APITesting#DevOps#OpenSource
API performance testing tools arenโt one-size-fits-all: load, stress, and enterprise-scale runs each need different tools.
Our guide covers how to choose, with pros and cons for each.
๐ https://t.co/kNDPimJfeG
#APIPerformanceTesting#LoadTesting
Most bugs that reach production trace back to a scenario nobody wrote a test case for.
Structured test cases make testing repeatable - not a memory exercise before every release
Full guide with examples ๐
https://t.co/FvwR5ZouTd
#SoftwareTesting#TestCases#QualityAssurance
Scattered, flaky test scripts are a framework problem, and an automation framework for API-first testing is the fix.
Our guide covers how to build one, plus how Keploy skips the scratch-build.
๐ https://t.co/kf3T5facAU
#APIFirstTesting#TestAutomation
Not all service virtualization tools solve the same problem.
The right one depends on your stack- Kubernetes or legacy, HTTP-only or full dependency chain, open source or enterprise.
Top 10 tools compared ๐
https://t.co/80T6n6cGzq
#ServiceVirtualization#APITesting#DevOps
Levels of software testing exist for one reason: a bug caught early costs minutes, the same bug after release costs an 11pm hotfix.
Our guide covers all 4 (unit โ acceptance) and where Keploy fits.
๐ https://t.co/DNLCEypOtS
#LevelsOfSoftwareTesting#SoftwareTesting
Running your full test suite after every change isnโt a regression strategy. Itโs just habit.
Each type of regression testing is suited to a different scope, timeline, and risk level.
Know which one to use ๐
https://t.co/o2O8CJM6BQ
#RegressionTesting#SoftwareTesting#DevOps
API testing tools arenโt a single decision: a solo devโs needs differ from a 50-microservice CI pipeline.
Our guide sorts 12 by use case, including the top API automation testing tools, plus where Keploy fits.
๐ https://t.co/LZArAHw06U
#APITestingTools#APITesting
A test that passes sometimes and fails other times isn't a test. It's a guess.
Flaky tests erode trust in your entire suite, and the longer you ignore them, the more they cost.
Learn how to fix them for good ๐
https://t.co/gERZsmaHVv
#FlakyTests#TestAutomation#DevOps
Behavior driven development (BDD) aligns devs, testers, and business on how software should behave, before any code is written.
Our guide covers the process, Gherkin, BDD for APIs, and where Keploy fits.
๐ https://t.co/4i4Lwtc8LP
#BDD#TestAutomation
A bug marked "fixed" isn't actually closed until someone verifies the same test now passes.
That's retesting - and skipping it is how patched defects make it back to production.
Full breakdown ๐
https://t.co/L83AGh0zmF
#SoftwareTesting#QualityAssurance#DevOps#OpenSource
Test planning is what turns "we should test this" into a clear roadmap your whole team actually follows.
Our guide covers the key components, why most plans fail, and where Keploy fits.
๐ https://t.co/jlO7wNG6O1
#TestPlanning#SoftwareTesting
Tests shouldn't stall because a dependency isn't ready.
Service virtualization replaces live services with controlled simulations, so that CI stays deterministic.
Full breakdown ๐
https://t.co/WWzKhPl6Qr
#ServiceVirtualization#APITesting#DevOps#OpenSource
AI in software testing replaces static scripts with models that adapt as your app changes.
Our technical guide covers how it works, the tools, and where Keploy fits.
๐ https://t.co/4Tr9FTC5pY
#AIinSoftwareTesting#AITesting
From API testing to security scanning - open source has a tool for every layer of your pipeline.
Explore the top 10 open-source testing tools worth building around ๐
https://t.co/OdqN92QCIW
#OpenSourceTesting#TestAutomation#DevOps#OpenSource
No-code API testing tools let anyone validate APIs through a visual interface, no scripting needed.
Our guide covers the top tools, benefits, and how to pick one, plus where Keploy fits.
๐ https://t.co/3OlZANOvfx
#NoCodeAPITesting#APITesting