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@shubham321 shared a post, 3ย weeks, 4ย days ago
Software engineer, Keploy

System Integration Testing (SIT) in Software Testing: Complete Guide

System Integration Testing (SIT) is an essential phase in the software testing lifecycle that focuses on verifying how different components of a system interact with each other. In modern software applications, multiple modules such as APIs, databases, services, and external systems work together to deliver functionality. While individual modules may function correctly when tested separately, issues often arise when these modules are integrated. SIT helps identify and resolve such issues before the software moves to later testing stages.

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@sancharini shared a link, 3ย weeks, 4ย days ago

Software Regression Testing Services: Ensuring Stability After Every Change

Software Regression Testing Services: Ensuring Stability After Every Change

regression testing services
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@laura_garcia shared a post, 3ย weeks, 5ย days ago
Software Developer, RELIANOID

๐— ๐—ช๐—– ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ: ๐—Ÿ๐—ฒ๐˜€๐˜€๐—ผ๐—ป๐˜€ ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ฒ๐—ฑ ๐—ณ๐—ผ๐—ฟ ๐—ฎ๐—ฝ๐—ฝ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฑ๐—ฒ๐—น๐—ถ๐˜ƒ๐—ฒ๐—ฟ๐˜† & ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜†

๐Ÿ”ต ๐— ๐—ช๐—– ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ: ๐—Ÿ๐—ฒ๐˜€๐˜€๐—ผ๐—ป๐˜€ ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ฒ๐—ฑ ๐—ณ๐—ผ๐—ฟ ๐—ฎ๐—ฝ๐—ฝ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฑ๐—ฒ๐—น๐—ถ๐˜ƒ๐—ฒ๐—ฟ๐˜† & ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† After an intense week in Barcelona, one thing is clear: ๐Ÿ‘‰ The future is not just about connectivityโ€ฆ itโ€™s about ๐—ต๐—ผ๐˜„ ๐—ฎ๐—ฝ๐—ฝ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ฑ๐—ฒ๐—น๐—ถ๐˜ƒ๐—ฒ๐—ฟ๐—ฒ๐—ฑ, ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฒ๐—ฑ, ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐—ผ๐—ป๐˜๐—ฟ๐—ผ๐—น๐—น๐—ฒ๐—ฑ ๐Ÿš€ Key takeaways ๐Ÿญ. ๐—”๐—œ ๐—ถ๐˜€ ๐—ป๐—ผ๐˜„ ๐—ถ๐—ป๐—ณ๐—ฟ๐—ฎ๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ AI-driven networks are h..

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@laura_garcia shared a post, 3ย weeks, 6ย days ago
Software Developer, RELIANOID

Retailers invest millions in digital experiencesโ€ฆ

but what happens when the checkout stops working? A recent outage affecting the online services of Tesco has once again sparked an important discussion: how resilient are modern retail platforms? Customers reported failures during some of the most critical moments of the shopping journey: - Checkout..

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@hamzmu shared a link, 3ย weeks, 6ย days ago
Fellow, Rootly

On-Call Burnout: What Incident Data Doesnโ€™t Show

Incident dashboards measure system health, but rarely show the workload and strain engineers face when responding to alerts. Incident load isnโ€™t only about the number of incidents, but the patterns surrounding them. In this article we explore these patterns and introduce On-Call Health, an open-source tool that analyzes engineering signals to surface early burnout trends, highlighting why incident volume alone isnโ€™t enough and why after-hours interruptions, workload stacking, and long-term trends matter.

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@kala shared an update, 4ย weeks, 1ย day ago
FAUN.dev()

NanoClaw + Docker Sandboxes: Secure Agent Execution Without the Overhead

NanoClaw Claude Code Docker

NanoClaw integrates with Docker Sandboxes to enhance AI agent security through strong isolation and transparency. This collaboration focuses on enabling secure and autonomous operations for AI agents within enterprise environments.

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@varbear shared a link, 4ย weeks, 1ย day ago
FAUN.dev()

Things I miss about Spring Boot after switching to Go

The author migrated fromJava/Spring BoottoGolang. Spring bundlesSecurity,Data,Actuator, and auto-wiring. Go prefers minimalist libraries and explicit wiring. It produces static binaries, instant startup, lower memory use, and nativegoroutineconcurrency. Spring needs JVM startup and GC tuning... read more ย 

Things I miss about Spring Boot after switching to Go
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@varbear shared a link, 4ย weeks, 1ย day ago
FAUN.dev()

Interview with Thomas Wouters - release Manager for Python

The interview traces Python's core evolution. It starts with addingaugmented assignment(+=) and thePEP 203debates. Arguments followed. Nested scopeslanded viafuture imports. Maintainers repackagedelementtree/xmlplususingpath. asynciorose and supplantedTwisted. Python moved toyearly releases... read more ย 

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@varbear shared a link, 4ย weeks, 1ย day ago
FAUN.dev()

Why is WebAssembly a second-class language on the web?

The post catalogs recentWebAssemblyextensions:shared memory,SIMD,exceptions,tail calls,64-bit memory,GC,bulk memory,multiple returns, andreference types. It arguesWebAssemblyremains a second-class web language. MessyJS glueand arcane loading keep it there. The post pushes theWebAssembly Component Mo.. read more ย 

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@varbear shared a link, 4ย weeks, 1ย day ago
FAUN.dev()

The real cost of random I/O

Therandom_page_costwas introduced ~25 years ago, and its default value has remained at 4.0 since then. Recent experiments suggest that the actual cost of reading a random page may be significantly higher than the default value, especially on SSDs. Lowering therandom_page_costmay not always be the be.. read more ย 

The real cost of random I/O
Flask is an open-source web framework written in Python and created by Armin Ronacher in 2010. It is known as a microframework, not because it is weak or incomplete, but because it provides only the essential building blocks for developing web applications. Its core focuses on handling HTTP requests, defining routes, and rendering templates, while leaving decisions about databases, authentication, form handling, and other components to the developer. This minimalistic design makes Flask lightweight, flexible, and easy to learn, but also powerful enough to support complex systems when extended with the right tools.

At the heart of Flask are two libraries: Werkzeug, which is a WSGI utility library that handles the low-level details of communication between web servers and applications, and Jinja2, a templating engine that allows developers to write dynamic HTML pages with embedded Python logic. By combining these two, Flask provides a clean and pythonic way to create web applications without imposing strict architectural patterns.

One of the defining characteristics of Flask is its explicitness. Unlike larger frameworks such as Django, Flask does not try to hide complexity behind layers of abstraction or dictate how a project should be structured. Instead, it gives developers complete control over how they organize their code and which tools they integrate. This explicit nature makes applications easier to reason about and gives teams the freedom to design solutions that match their exact needs. At the same time, Flask benefits from a vast ecosystem of extensions contributed by the community. These extensions cover areas such as database integration through SQLAlchemy, user session and authentication management, form validation with CSRF protection, and database migration handling. This modular approach means a developer can start with a very simple application and gradually add only the pieces they require, avoiding the overhead of unused components.

Flask is also widely appreciated for its simplicity and approachability. Many developers write their first web application in Flask because the learning curve is gentle, the documentation is clear, and the framework itself avoids unnecessary complexity. It is particularly well suited for building prototypes, REST APIs, microservices, or small to medium-sized web applications. At the same time, production-grade deployments are supported by running Flask applications on WSGI servers such as Gunicorn or uWSGI, since the development server included with Flask is intended only for testing and debugging.

The strengths of Flask lie in its minimalism, flexibility, and extensibility. It gives developers the freedom to assemble their application architecture, choose their own libraries, and maintain tight control over how things work under the hood. This is attractive to experienced engineers who dislike being boxed in by heavy frameworks. However, the same freedom can become a limitation. Flask does not include features like an ORM, admin interface, or built-in authentication system, which means teams working on very large applications must take on more responsibility for enforcing patterns and maintaining consistency. In situations where a project requires an opinionated, all-in-one solution, Django or another full-stack framework may be a better fit.

In practice, Flask has grown far beyond its initial positioning as a lightweight tool. It has been used by startups for rapid prototypes and by large companies for production systems. Its design philosophyโ€”keep the core simple, make extensions easy, and let developers decideโ€”continues to attract both beginners and professionals. This balance between simplicity and power has made Flask one of the most enduring and widely used Python web frameworks.