Everything You Need to Know About OpenTelemetry Histograms
OpenTelemetry histograms help you go beyond averages. Learn how they work and why they matter for real-world observability in DevOps.
Updates and recent posts about Magika.. Link
Link
@anjali shared a link, 1 year, 1 month ago
Customer Marketing Manager, Last9
Why Should You Care About Endpoint Monitoring?
Understand why endpoint monitoring is crucial for tracking and securing key touchpoints between services, users, and security defenses.
Story
@laura_garcia shared a post, 1 year, 1 month ago
Software Developer, RELIANOID
🔐 Cyber Intelligence Europe 2025 – Madrid | April 29-30
We're excited to announce that RELIANOID will be attending the 11th Cyber Intelligence Europe conference in Madrid, Spain! This event gathers top cybersecurity leaders from across Europe to shape the continent’s digital defense strategies. Key Themes: 🔹 National Cybersecurity Strategies 🔹 Cybercrime..
Link
@anjali shared a link, 1 year, 1 month ago
Customer Marketing Manager, Last9
How to Use OpenTelemetry with Your GraphQL Stack
Learn how to add observability to your GraphQL APIs using OpenTelemetry—track requests, monitor performance, and troubleshoot faster.
Link
@anjali shared a link, 1 year, 1 month ago
Customer Marketing Manager, Last9
Getting Started with OpenTelemetry Custom Metrics
Learn how to use OpenTelemetry custom metrics to track what truly matters in your systems—and build more reliable, observable services.
Link
@anjali shared a link, 1 year, 1 month ago
Customer Marketing Manager, Last9
Traces & Spans: Observability Basics You Should Know
Learn how traces and spans help you see inside distributed systems—so you can troubleshoot faster and build more reliable software.
Story
@laura_garcia shared a post, 1 year, 1 month ago
Software Developer, RELIANOID
🔁 Windows Network Load Balancer vs. Relianoid – What's the Difference?
Windows Network Load Balancer (NLB) is a built-in feature of Microsoft Windows Server that enables basic load balancing across multiple servers—simple, cost-effective, and easy to set up. ✅How NLB Helps • Distributes traffic across up to 32 servers • Ensures failover and redundancy • Supports sessio..
Link
@ninaddesai shared a link, 1 year, 1 month ago
Staff Engineer, Infracloud
Eliminating Observability Vendor Lock-in with OpenTelemetry: A Hands-On Demo
Struggling to switch from Prometheus to Elasticsearch without rewriting your app? This hands-on guide shows how OpenTelemetry decouples your observability backend with zero app changes. Includes working Docker-based examples and step-by-step guidance.
Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()
How to use any Python AI agent framework with free GitHub Models
GitHub Modelsdishes out no-cost access to models that mirror OpenAI's magic, but with a twist—easy integration with Python. Just snag a Personal Access Token and dive in. Swap models faster than you change socks. 📈.. read more
Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()
Meta Sought Funds for Llama AI Model Development from Amazon and Microsoft
Metaasked rivals likeMicrosoftfor cash to handle its soaring AI expenses. Bold move, right? Say hello toLlama 4—a beast with next-gen scalability. Think 10 million token contexts and a slickMixture-of-Expertsdesign. Legal drama over training data could crank up costs, butMetaplays it smart, pushing .. read more
It is designed to be both highly accurate and extremely fast, capable of classifying files in milliseconds. Magika excels at detecting edge cases where file extensions are incorrect, intentionally spoofed, or absent altogether. This makes it particularly valuable for security scanning, malware analysis, digital forensics, and large-scale content ingestion pipelines.
Magika supports hundreds of file formats, including programming languages, configuration files, documents, archives, executables, media formats, and data files. It is available as a Python library, a CLI, and integrates cleanly into automated workflows. The project is maintained by Google and released under an open-source license, making it suitable for both enterprise and research use.
Magika is commonly used in scenarios such as:
- Secure file uploads and content validation
- Malware detection and sandboxing pipelines
- Code repository scanning
- Data lake ingestion and classification
- Digital forensics and incident response
