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@maydali28 started using tool Java , 2 weeks, 5 days ago.

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@maydali28 started using tool Azure Kubernetes Service (AKS) , 2 weeks, 5 days ago.

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@maydali28 started using tool AWS EKS , 2 weeks, 5 days ago.

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@sancharini shared a post, 2 weeks, 5 days ago

Why Understanding Software Testing Basics Is Essential for Every Developer?

Understand why software testing basics is essential for every developer. Learn key testing types, levels, techniques, and best practices to write reliable, maintainable, and high-quality code.

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@eon01 published a course, 2 weeks, 6 days ago

Founder, FAUN.dev

Practical MCP with FastMCP & LangChain

#LangCha... #Model C... #FastMCP #AI agen...

Engineering the Agentic Experience

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@kala added a new tool FastMCP , 2 weeks, 6 days ago.

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@kala shared an update, 2 weeks, 6 days ago

FAUN.dev()

FastMCP 3.0 Released: Community-Driven Enhancements Unveiled

#FastMCP #FastMCP... #Prefect... #AI #MCP

FastMCP 3.0 is now generally available. It keeps the @mcp.tool() API but rebuilds the internals around components + providers + transforms, adds a CLI, and ships production features like component versioning, per-component auth + OAuth additions, OpenTelemetry tracing, background tasks, pagination, tool timeouts, and hot reload. The project moved from jlowin/fastmcp to PrefectHQ/fastmcp on GitHub, and upgrading is supported via dedicated guides for FastMCP 2 and MCP SDK users.

FastMCP 3.0 Released: Community-Driven Enhancements Unveiled

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@laura_garcia shared a post, 2 weeks, 6 days ago

Software Developer, RELIANOID

🚀 Ready to level up your #AppSec skills?

Join us at London OWASP Training Days 2026 – February 25–28 in London! Hands-on, instructor-led sessions covering: 🔹 API Security 🔹 Secure Development & Testing 🔹 Threat Modeling & Risk Analysis 🔹 AI & Security 🔹 Mobile & IoT Security 🔹 Offensive Security & Pentesting Learn from the global OWASP com..

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@dwisiswant0 started using tool GNU/Linux , 2 weeks, 6 days ago.

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@laura_garcia shared a post, 3 weeks ago

Software Developer, RELIANOID

Finance: Resilience. Trust. Continuity

Downtime isn’t just costly—it’s a trust killer. 💸 In financial services, outages can cost millions, invite regulatory penalties, and damage customer confidence. Our latest blog dives into the true cost of downtime and why resilience, security, and compliance must be non-negotiable. #FinancialServic..

Blog_Why Financial Services Institutions Must Protect Themselves From Downtime_RELIANOID

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.