How to Connect Jaeger with Your APM
Learn how to connect Jaeger with your APM to combine tracing and performance monitoring for deeper system visibility.
Updates and recent posts about AIStor.. Link
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@anjali shared a link, 5ย months ago
Customer Marketing Manager, Last9
Key APM Metrics You Must Track
Understand key APM metrics like response time, error rates, throughput, and resource usage to keep your applications reliable and fast.
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@laura_garcia shared a post, 5ย months ago
Software Developer, RELIANOID
๐ In case you missed it last monthโฆ
๐ Incident Response in 2025: Lessons Learned From food supply disruptions and airline data breaches to sector-wide attacks on insurers, JuneโAugust 2025 highlighted how critical rapid and prepared responses are in cybersecurity. At the same time, advances like AI-powered detection and resilience fea..
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@laura_garcia shared a post, 5ย months ago
Software Developer, RELIANOID
โก Windows Server Load Balancing Explained
Windows Serverโs built-in Network Load Balancing (NLB) feature helps organizations distribute traffic, ensure redundancy, and keep mission-critical applications running without downtime. But while NLB is effective, modern workloads demand more. In our latest article, we cover: โ๏ธ What Windows Server..
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@laura_garcia shared a post, 5ย months ago
Software Developer, RELIANOID
DevOps Days Cairo is coming!
- RELIANOID at DevOpsDays Cairo 2025 On September 27th, DevOpsDays returns to Giza, Egypt, bringing its 8th edition with a strong focus on the intersection of AI ร DevOps โ from MLOps and AIOps to infrastructure automation and AI-powered security. Weโre excited to join this flagship DevOps event in ..
Link Xygeni Team
@mashka shared a link, 5ย months ago
Paid Acquisition and Growth Marketing, xygeni
Upcoming ๐๐๐๐ข๐ง๐๐ซ: ๐๐ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐๐๐ฎ๐ซ๐ข๐ญ๐ฒ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง!
Join Xygeni for a hands-on webinar exploring how AI can automate application security and streamline developer workflows. Learn how to move beyond noisy alerts and manual triage with intelligent, real-time remediation workflows that secure your CI/CD pipeline, without slowing developers down.
What you'll learn:
- How to auto-fix secrets, OSS vulnerabilities, and code flaws directly from alerts
- Ways to reduce false positives and focus on what really matters
- How to set up developer-friendly guardrails across your SDLC
- Practical steps to protect every commit and pull request
- and much more!
Date: October 8
Time: 17:00 CEST / 11:00 EDT
Platform: LinkedIn
The session includes live demos and real-world examples. Replay available for all registrants.
๐ Register here: https://www.linkedin.com/events/7375842799042248704/
See you there!
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@laura_garcia shared a post, 5ย months ago
Software Developer, RELIANOID
๐ Understanding VRF (Virtual Routing and Forwarding)
VRF enables secure traffic isolation, scalability, and multi-tenant networking on a single infrastructure. In our latest article, we explain how it works, key benefits, and how RELIANOID implements per-NIC VRF to enhance security and flexibility ๐ ๐ Read more in the full article! https://www.reliano..
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@faun shared a link, 5ย months ago
FAUN.dev()
Self-replicating worm hits 180+ npm packages in (largely) automated supply chain attack
A supply chain worm called **Shai-hulud** is loose in the npm wild. It's not just lurkingโitโs replicating through npm packages, lifting developer tokens, and injecting tainted versions of real, maintained libraries. Once in, it grabs GitHub secrets, flips private repos public, and piggybacks on Gi.. read more ย
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@faun shared a link, 5ย months ago
FAUN.dev()
How In-Memory Caching Works in Redis
Redis isnโt just a cache anymore. Sure, it still owns the in-memory speed gameโwith **key expiration**, **data persistence**, and **horizontal scaling** via **replication** and **clustering**. But if you're only using it to stash a few keys, you're missing the point. This thing handles **streams**,.. read more ย
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@faun shared a link, 5ย months ago
FAUN.dev()
Experimenting with local LLMs on macOS
Running **open-weight LLMs locally on macOS**? This post breaks it down clean. It compares **llama.cpp**โgreat for tweaking thingsโto **LM Studio**, which trades control for simplicity. Covers what fits in memory, which quantized models to grab (hint: 4-bit GGUF), and whatโs coming down the pipe: *.. read more ย
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 AIStorโs 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 โ from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets โ within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.
