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@laura_garcia shared a post, 5 months, 1 week ago
Software Developer, RELIANOID

Secure Boot Advanced Targeting (SBAT): Scaling Boot Security 🔐

Discover how SBAT enhances Secure Boot by introducing a smarter way to handle vulnerabilities, reducing overhead, and ensuring your system's boot process stays secure. Learn how it works, how it addresses scalability, and why it's a game-changer for modern boot security across Linux and Windows envi..

KB-Secure Boot Advanced Targeting
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@laura_garcia shared a post, 5 months, 1 week ago
Software Developer, RELIANOID

Cyber Security & Cloud Expo Europe in Amsterdam

🔐 On 24–25 September 2025, RELIANOID will be at Cyber Security & Cloud Expo Europe in Amsterdam! Join us to explore how we enable secure, scalable, and Zero Trust–ready application delivery. 👉 https://www.relianoid.com/about-us/events/cyber-security-cloud-expo-2025/ #CyberSecurity#Cloud#ZeroTrust#De..

cybersecurity and cloud expo amsterdam event
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@laura_garcia shared a post, 5 months, 1 week ago
Software Developer, RELIANOID

Cyber Security & Cloud Expo Europe in Amsterdam

🔐 On 24–25 September 2025, RELIANOID will be at Cyber Security & Cloud Expo Europe in Amsterdam! Join us to explore how we enable secure, scalable, and Zero Trust–ready application delivery. 👉 https://www.relianoid.com/about-us/events/cyber-security-cloud-expo-2025/ #CyberSecurity#Cloud#ZeroTrust#De..

cybersecurity and cloud expo amsterdam event
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@laura_garcia shared a post, 5 months, 1 week ago
Software Developer, RELIANOID

🔐 Industrial networks face increasing complexity and evolving cyber threats.

To strengthen defenses, many organizations are moving beyond traditional segmentation and adopting microsegmentation — a strategy that creates independent, secure zones to better protect critical assets. We’ve prepared a clear diagram to illustrate how defense-in-depth and microsegmentation can be a..

Industrial Zero-Trust Micro-Segmentation
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@anjali shared a link, 5 months, 1 week ago
Customer Marketing Manager, Last9

What is Asynchronous Job Monitoring?

Know how asynchronous job monitoring tracks background tasks, ensuring they finish reliably, perform well, and stay visible at scale.

async_job_monitoring
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@laura_garcia shared a post, 5 months, 1 week ago
Software Developer, RELIANOID

🚀 We’re heading to TechEx Europe 2025 in Amsterdam on 24–25 September!

Join us at Europe’s premier enterprise technology event to explore the future of AI, cybersecurity, IoT, cloud, and digital transformation—and discover how RELIANOID ensures secure, scalable, and high-performance application delivery for modern enterprises. #TechExEurope#DigitalTransformation#Enterp..

techex amsterdam event
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@anjali shared a link, 5 months, 1 week ago
Customer Marketing Manager, Last9

Kubernetes Service Discovery Explained with Practical Examples

Understand Kubernetes Service Discovery with clear examples of Services, Endpoints, DNS, Ingress, and headless setups in action.

kubernetes
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@faun shared a link, 5 months, 2 weeks ago
FAUN.dev()

Esoteric Languages Challenge Coders to Think Way Outside the Box

Daniel Temkin has written a book about44 esoteric programming languages, including Valence, which uses ancient Greek measuring symbols. Temkin emphasizes the significance of esoteric languages in promoting creativity and investigating the complicated nature of modern programming. These languages hav.. read more  

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@faun shared a link, 5 months, 2 weeks ago
FAUN.dev()

Is Java Still Used? Current Trends and Market Demand in 2025

Java’s not just hanging on in 2025—it’s running the show. Over 90% of the Fortune 500 still trust it to power cloud platforms, big data pipelines, and IoT sprawl. What’s keeping it sharp? A brisk six-month release cadence. A battle-hardened ecosystem through OpenJDK and Jakarta EE. And a JVM that k.. read more  

Is Java Still Used? Current Trends and Market Demand in 2025
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@faun shared a link, 5 months, 2 weeks ago
FAUN.dev()

Developer Experience at Pinterest: The Journey to PinConsole

Pinterest rolled outPinConsole, a custom-built Internal Developer Platform powered byBackstage. Years of scattered tools had piled on complexity. This is their clean slate. PinConsole pulls developer workflows into one place, plugging intoPinCompute (Kubernetes),GitHub,Jira, andPagerDuty. It also b.. read more  

Developer Experience at Pinterest: The Journey to PinConsole
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.