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@laura_garcia shared a post, 1 month, 1 week ago
Software Developer, RELIANOID

𝗜𝘀 𝘆𝗼𝘂𝗿 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗿𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝘇𝗲𝗿𝗼 𝗱𝗼𝘄𝗻𝘁𝗶𝗺𝗲?

🚨 𝗜𝘀 𝘆𝗼𝘂𝗿 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗿𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝘇𝗲𝗿𝗼 𝗱𝗼𝘄𝗻𝘁𝗶𝗺𝗲? For many enterprises, 𝗦𝗸𝘆𝗽𝗲 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 is still a critical pillar for daily operations — from internal collaboration to client interactions. But what happens when it goes down? 💥 Lost productivity 💥 Interrupted workflows 💥 Missed business o..

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@sanjayjoshi shared a post, 1 month, 1 week ago

Building a Team Section or Page in 2026? You Must Check This

A strong team section helps build trust by showing the people behind your product.
It’s not just design it makes your product feel real.

This article shares modern, ready-to-use team sections and pages you can quickly use in your projects.

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@laura_garcia shared a post, 1 month, 1 week ago
Software Developer, RELIANOID

CloudFest 2026 is calling

🚀 CloudFest 2026 is calling March 23–26 | Europa-Park 10,000+ minds. 80+ countries. One place where the future of the internet is built. From cutting-edge cloud innovation to legendary networking — this isn’t just an event, it’s the experience. 👉 Meet us there and discover how RELIANOID is powering ..

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@sanjayjoshi added a new tool Shadcn Space , 1 month, 1 week ago.
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@sanjayjoshi created an organization WrapPixel , 1 month, 1 week ago.
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@himanshu shared a post, 1 month, 2 weeks ago

Software Testing Strategies: A Practical Guide for Modern Development

Software quality is a critical factor in modern application development. As development teams adopt Agile, DevOps, and CI/CD pipelines, testing must also evolve to ensure software remains reliable and secure. A well-defined testing plan helps teams identify bugs early, reduce risks, and deliver bett..

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@pramod_kumar_0820 shared a link, 1 month, 2 weeks ago
Software Engineer, Teknospire

Why Most Spring Boot Apps Fail in Production (7 Critical Mistakes)

Most Spring Boot applications run perfectly in development.

The APIs respond quickly, tests pass, and everything seems stable.

But once the application reaches production, things can change dramatically — slow responses, memory issues, and unexpected failures start appearing.

In many cases, the problem isn't Spring Boot itself.
It's a set of common mistakes developers unknowingly introduce into their applications.

In this article, we'll explore 7 critical mistakes that cause many Spring Boot apps to fail in production — and how to avoid them.

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@marxjenes shared a post, 1 month, 2 weeks ago

Why Test Automation Frameworks Are Essential for Scalable Testing?

Learn why test automation frameworks are essential for scalable testing, enabling teams to manage large test suites, improve test efficiency, and maintain reliable software quality.

Why Test Automation Frameworks Are Essential for Scalable Testing
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@shubham321 shared a post, 1 month, 2 weeks 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, 1 month, 2 weeks ago

Software Regression Testing Services: Ensuring Stability After Every Change

Software Regression Testing Services: Ensuring Stability After Every Change

regression testing services
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.