Databend’s Post

“Our P99 response times for RPC endpoints dropped from 2.4 seconds to 176 milliseconds—a reduction of over 2 seconds.” In a builders journey, as usage of your software gets higher and become successful , you must ensure that your core workflows are delivering a great experience. At Sentry, we enable software teams at this maturity phase to diagnose deeper perf issues with tracing, profiling and more. Persona focus is developer and goal is to make this easy to diagnose vs spending months debating instrumentation and agents. Additonally, for early software teams, we enable quick performance insights like slow queries, web vitals, ootb mobile insight and more. Great write up by Josh Ferge https://lnkd.in/gSiJe5pw

One more issue I faced during integration tests with ReportPortal - partially it is already fixed in new agent-python-pytest build

🎥 New Tutorial Alert! 🚀 In this video, I break down the essentials of API testing using Postman. Learn how to send both JSON and form data in POST requests, ensuring your API endpoints are robust and reliable. Perfect for developers aiming to master their API testing workflow. Check out the example below and dive into the full tutorial to see it in action! json Copy code { "name": "API Testing Example", "homepage_thumbnail": "https://lnkd.in/eySKJgWi", "img_url": "https://lnkd.in/e54WmNqe", "video_url": "https://lnkd.in/effaY_9T", "category": "Tutorial", "tech_used": "Postman, Flask", "project_url": "https://lnkd.in/e5XDS2uw", "description": "Learn how to test APIs with Postman!" } #APITesting #Postman #JSON #FormData #WebDevelopment #CodingTutorial

Day 28: API Testing with BDD (Cucumber) Let's bridge the gap between technical and non-technical teams by combining Rest Assured with Cucumber for BDD-style API testing. What is BDD? Behavior-Driven Development (BDD) focuses on collaboration by writing tests in plain English. With Cucumber, feature files describe the behavior, and step definitions implement the logic. Key Components Feature Files Written in Gherkin syntax. Define test scenarios in Given-When-Then format. Step Definitions Link Gherkin steps to Java methods. Use Rest Assured to execute API requests. Example Feature File Feature: User API Testing Scenario: Get user details Given the API is available When I send a GET request to "/users/1" Then the response status should be 200 And the user name should be "John Doe" Step Definition Example import io.restassured.RestAssured; import io.restassured.response.Response; import static org.junit.Assert.assertEquals; public class UserSteps { Response response; @Given("the API is available") public void the_api_is_available() { RestAssured.baseURI = "https://lnkd.in/gC4w3kvY"; } @When("I send a GET request to {string}") public void i_send_a_get_request(String endpoint) { response = RestAssured.given().get(endpoint); } @Then("the response status should be {int}") public void the_response_status_should_be(Integer statusCode) { assertEquals(statusCode.intValue(), response.getStatusCode()); } @Then("the user name should be {string}") public void the_user_name_should_be(String expectedName) { assertEquals(expectedName, response.jsonPath().getString("name")); } } Benefits of BDD in API Testing Improved Collaboration: Business and technical teams align on requirements. Readable Tests: Plain English scenarios are easy to understand. Reusability: Step definitions can be reused across multiple scenarios. Summary API testing with BDD and Cucumber combines the power of Rest Assured with a user-friendly approach to testing. Feature files ensure clarity, while step definitions provide the technical backbone. Pro Tip: A feature file is like a movie script – it sets the stage for flawless execution! 🎬

9 Strategies to Boost API Performance 💥💥 GET FULL SOURCE CODE AT THIS LINK 👇👇 👉 https://lnkd.in/deZJwXjW API performance is a critical aspect of software development, directly impacting user experience, scalability, and overall system reliability. As developers, we strive to create efficient APIs that can handle increasing loads without compromising on speed or accuracy. To achieve this, it's essential to focus on optimizing API performance, and Python, with its simplicity and extensive libraries, is an ideal language to accomplish this. By leveraging the right strategies, developers can significantly improve API performance, resulting in faster response times, reduced latency, and enhanced overall system performance. Some essential strategies for optimizing API performance include leveraging caching mechanisms, implementing efficient database queries, and using asynchronous programming techniques. Additionally, monitoring and analyzing API performance metrics is crucial to identifying bottlenecks and areas for improvement. By incorporating these strategies into your API development workflow, you can ensure your API is scalable, efficient, and provides a seamless user experience. For developers looking to dive deeper into this topic, it's recommended to explore Python libraries such as Flask and Django, which provide built-in support for API development and optimization. Find this and all other slideshows for free on our website: https://lnkd.in/deZJwXjW #datascience #python #datanormality #machinelearning #stem #datavisualization #statistics #datamining #dataanalysis #pythonprogramming https://lnkd.in/dbdeKVhE

I'd like to announce my latest open-source project: YMLZ 🎉 YMLZ is a small, convenient YAML parser designed to make parsing YAML files in Zig easier than ever. With built-in reflections, all you need to do is define a struct with the fields, and it handles the rest! Whether you're dealing with recursive structures or need automatic field parsing. 🔑 Key Features: - Simple and intuitive API. - Supports recursive structs. - Automatic memory management and deinitialization. - Ability to parse optional fields. - Type Parsing built-in. Check out the project on GitHub: https://lnkd.in/duFrbRsM #OpenSource #Zig

Hello everyone! Today, I’d like to share a piece of technology that can be incredibly helpful for those dealing with unexplained performance issues. It’s called Coz—a profiler for native code (C/C++/Rust) that uses causal profiling to uncover optimization opportunities often missed by traditional profilers. Unlike typical tools, Coz predicts the direct impact of optimizing specific lines of code on overall throughput or latency, offering insights into where improvements will yield the most measurable performance gains. Coz profiles serial, parallel, and asynchronous code without requiring instrumentation for concurrency or library calls. This approach allows developers to measure the precise causal effect of optimizations, providing a reliable way to focus efforts where they will have the greatest impact. Have a great day! https://lnkd.in/dRH3vpXk

I'm about to be working with labstack/echo again, so I thought I would port over my customizable gin-pagination library into a similar one for echo. It has a slightly larger API as echo doesn't have as an extensive an API itself, but very comprable in terms of functionality. Have a look at https://lnkd.in/eeF9wUAa #go #softwareengineer #coding #softwareengineering #golang #opensource #api #framework

🎯 Fine-tune your #SpringBoot tests! Discover how to use test slice annotations like AtWebMvcTest and AtDataJpaTest for efficient and isolated testing. 🌱 Learn the ins and outs to speed up your dev cycle! 💨 Read the full guide here: 🔗 https://lnkd.in/dmw8ePZ

I'm thrilled to announce the successful completion of an advanced software testing course, where I delved deep into essential concepts: 🔹 Unit Testing: Testing components in isolation. 🔹 Integration Testing: Verifying the interactions between integrated components. 🔹 Testing External Services (Stripe): Handling and testing external service integrations. 🔹 Mocking with Mockito: Using Mockito to enhance Java application testing. 🔹 Test Driven Development (TDD): Writing tests first to drive the development process. GitHub repository: https://lnkd.in/dNKB9yWE #SoftwareTesting #UnitTesting #IntegrationTesting #Mocking #Mockito #JUnit #TDD #Java #SpringBoot