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@alok00k shared a post, 5 days, 17 hours ago

Why Smoke Testing Is Essential for Modern Software Teams

Smoke testing is a quick testing method used to verify whether the core functionality of an application works properly after a new build or deployment. It helps teams detect critical issues early, avoid wasting QA effort on unstable builds, and improve deployment confidence in CI/CD pipelines.

ChatGPT Image May 18, 2026, 02_32_13 PM
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@sancharini shared a post, 5 days, 17 hours ago

Regression Testing Tools and the Balance Between Coverage and Pipeline Speed

Explore how modern regression testing tools balance test coverage and CI/CD pipeline speed, and why smarter validation strategies matter more than larger test suites in distributed systems.

Regression Testing Tools and the Growing Problem of Flaky CICD Pipelines
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@alok00k shared a post, 5 days, 17 hours ago

Why SaaS Startups Need End to End Testing Early

SaaS startups move fast, but rapid deployments can introduce bugs that hurt user trust and retention. End to end testing helps teams validate complete user journeys like signup, payments, and integrations before release. By adopting automated testing early, startups can reduce production issues, ship faster with confidence, and scale their products more reliably.

e2e testing
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@harshilmalvi shared a post, 5 days, 17 hours ago
CEO, Tabdelta Solutions

Why Enterprises Are Investing in Power BI Development?

Enterprises are investing in Power BI development to transform complex business data into real-time insights, interactive dashboards, and AI-driven analytics. Power BI helps organizations improve decision-making, centralize data, automate reporting, enhance operational visibility, and support digital transformation initiatives. Its scalability, Microsoft ecosystem integration, cost-effectiveness, and advanced AI capabilities make it one of the most preferred business intelligence platforms for modern enterprises across healthcare, finance, ecommerce, manufacturing, and other industries.

Power BI For Enterprise
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@fidelissecurity shared a post, 5 days, 17 hours ago
Marketing, Fidelis Security

What Is CNAPP? A Complete Guide to Cloud-Native Application Protection Platforms

Learn what CNAPP (Cloud-Native Application Protection Platform) is, how it works, its key components, benefits, use cases, and why it is essential for securing modern cloud-native applications.

CNAPP
Story Keploy Team
@sancharini shared a post, 5 days, 17 hours ago

Making Test Management Tools Actually Work: From Tracking to Real Insight

Understand why test management tools fail and how leading teams make them work. Practical strategies for tracking, insights, and data-driven testing decisions.

Test Management Tools That Work: From Tracking to Insight
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@alicemgray86 shared a post, 5 days, 17 hours ago
Damco Solutions

AS400 Modernization Services in 2026: From Green Screen to Modern UX

For years, the green screen became the unofficial symbol of stability inside enterprise IT.

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@elsie-rainee shared a post, 5 days, 17 hours ago
Full Stack Engineer, WPWeb Infotech

Artificial Intelligence vs Machine Learning: What's the Difference?

Confused by AI vs machine learning? This guide breaks down what sets them apart, how they work together, and what it means for you.

Artificial Intelligence vs Machine Learning
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@laura_garcia shared a post, 6 days, 1 hour ago
Software Developer, RELIANOID

DevOpsDays Taipei

We're heading to DevOpsDays Taipei 2026! Join us on June 25–26 in Taipei to explore the latest in DevOps, AI, platform engineering, cloud-native technologies, and security alongside hundreds of technology professionals from across Asia. Learn more about the event and meet RELIANOID there. 👇 https://..

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

GLOBAL DATA SEGREGATION & PRIVACY POLICY

Data privacy, sovereignty, and compliance matter. Learn how RELIANOID manages global data governance, regional privacy requirements, and secure data handling practices across Europe, the United States, and Asia. Read our Global Data Segregation & Privacy Policy. https://www.relianoid.com/security-co..

RELIANOID COMPLIANCE GLOBAL DATA SEGREGATION & PRIVACY POLICY
AIStor is an enterprise-grade, high-performance object storage platform built for modern data workloads such as AI, machine learning, analytics, and large-scale data lakes. It is designed to handle massive datasets with predictable performance, operational simplicity, and hyperscale efficiency, while remaining fully compatible with the Amazon S3 API. AIStor is offered under a commercial license as a subscription-based product.

At its core, AIStor is a software-defined, distributed object store that runs on commodity hardware or in containerized environments like Kubernetes. Rather than being limited to traditional file or block interfaces, it exposes object storage semantics that scale from petabytes to exabytes within a single namespace, enabling consistent, flat addressing of vast datasets. It is engineered to sustain very high throughput and concurrency, with examples of multi-TiB/s read performance on optimized clusters.

AIStor is optimized specifically for AI and data-intensive workloads, where throughput, low latency, and horizontal scalability are critical. It integrates broadly with modern AI and analytics tools, including frameworks such as TensorFlow, PyTorch, Spark, and Iceberg-style table engines, making it suitable as the foundational storage layer for pipelines that demand both performance and consistency.

Security and enterprise readiness are central to AIStor’s design. It includes capabilities like encryption, replication, erasure coding, identity and access controls, immutability, lifecycle management, and operational observability, which are important for mission-critical deployments that must meet compliance and data protection requirements.

AIStor is positioned as a platform that unifies diverse data workloads — from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets — within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.