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@laura_garcia shared a post, 6 months ago
Software Developer, RELIANOID

🌐 What is Border Gateway Protocol (BGP)?

BGP is the backbone of the internet — and it’s powering RELIANOID’s advanced routing strategy. In our latest blog, we cover: ✅ eBGP for datacenter & edge connectivity ✅ iBGP for intra-datacenter load balancing ✅ How to build global clusters without GTM, GSLB, or DNSLB ✅ Real-world BGP use cases & se..

BGP Border Gateway Protocol
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@anjali shared a link, 6 months ago
Customer Marketing Manager, Last9

How to Get Logs from Docker Containers

Learn how to access, filter, and monitor Docker container logs, plus tips for structured logging, rotation, and production-ready setups.

Get Logs from Docker Containers
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@anjali shared a link, 6 months ago
Customer Marketing Manager, Last9

Improve Consistency Across Signals with OTel Semantic Conventions

Correlate logs, metrics, and traces faster by using consistent field names and schemas with OpenTelemetry semantic conventions.

ote
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@anjali shared a link, 6 months ago
Customer Marketing Manager, Last9

How Replicas Work in Kubernetes

Understand how Kubernetes uses replicas to ensure your application stays available, handles traffic spikes, and recovers from pod failures automatically.

api metrics dashboard
Story ManageEngine Team
@arshadmas shared a post, 6 months, 1 week ago
Product Marketer, manageengine

GCP monitoring: A comprehensive guide into maximizing cloud performance

Keeping mission-critical workloads healthy on Google Cloud Platform (GCP) isn’t optional—it’s your job. As organizations increasingly move to GCP for its elasticity and scalability, the complexity of managing cloud-native and hybrid environments grows. For ITOps and CloudOps professionals, the chall..

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@anjali shared a link, 6 months, 1 week ago
Customer Marketing Manager, Last9

Instrument LangChain and LangGraph Apps with OpenTelemetry

Understand how to trace, monitor, and debug LangChain and LangGraph apps using OpenTelemetry, down to chains, tools, tokens, and state flows.

LangChain & LangGraph
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@faun shared a link, 6 months, 1 week ago
FAUN.dev()

I’m Losing All Trust in the AI Industry

AI bigwigs promiseAGIin a quick 1-5 years, but the revolving door at labs like OpenAI screams wishful thinking. As AI hustles to serve up habit-forming products, the priority on user engagement echoes the well-troddensocial mediaplaybook. Who needs productivity, anyway? Cash fuels AI's joyride, with.. read more  

I’m Losing All Trust in the AI Industry
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@faun shared a link, 6 months, 1 week ago
FAUN.dev()

EU businesses push for freedom from AI rules and competition

Mistral's"AI for Citizens" isn't just about tech; it's about shaking up public services for the better. Meanwhile, in the EU, a plot twist—50 European firms holler for halting the AI Act, all in the name of staying competitive. They argue speed matters more than red tape. But hey, watchdogs eye them.. read more  

EU businesses push for freedom from AI rules and competition
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@faun shared a link, 6 months, 1 week ago
FAUN.dev()

From Noise to Structure: Building a Flow Matching Model from Scratch

Train a petite neural net to align velocity flows between distributions. DeployFlow Matching lossfor the job. Harness the precision of theAdamoptimizer to keep it sharp... read more  

From Noise to Structure: Building a Flow Matching Model from Scratch
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@faun shared a link, 6 months, 1 week ago
FAUN.dev()

Gemma 3n Introduces Novel Techniques for Enhanced Mobile AI Inference

Gemma 3nshakes up mobile AI with a two-punch combo:Per-Layer Embeddingsthat axe RAM usage andMatFormerthat sends performance into overdrive with elastic inference and nesting.KV cache sharingcranks up the speed of streaming responses, though it taps out at multilingual audio processing for clips up .. read more  

Gemma 3n Introduces Novel Techniques for Enhanced Mobile AI Inference
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.