What is AWS Fargate for Amazon ECS?
Understand how AWS Fargate runs your ECS containers without servers—just define CPU, memory, and networking, and AWS handles the compute.
Updates and recent posts about Gemini 3.. Link
Story
@shurup shared a post, 1 month ago
@palark
Helm v4 new features and changes
Helm v4 has been released a week ago. Its highlights are: - Server-Side Apply instead of 3-Way Merge - WASM plugins - Using kstatus for resource tracking - Content-based chart caching This articleprovides a detailed overview of why these changes were made in Helm v4 and what they bring for Helm user..
Story
@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID
✈️ Ensuring Efficiency and Security in Airport Operations
Today we highlight our main diagram “Airport Software Systems”, showcasing how integrated airport management platforms —from AODB to landside & airside operations, billing, and information systems— work together to ensure efficient and secure airport operations. We also explain how load balancing en..
Link
@anjali shared a link, 1 month ago
Customer Marketing Manager, Last9
OTel Updates: Complex Attributes Now Supported Across All Signals
OTLP 1.9.0 adds support for maps, arrays, and byte arrays across all OTel signals. Here's when to use complex attributes and when to stick with flat.
Story
@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID
SOC 2 Compliance
📢 At RELIANOID, we follow SOC 2 Trust Service Criteria to ensure Security, Availability, Confidentiality, Processing Integrity, and Privacy across our load balancing solutions — whether on-prem, cloud, or hybrid. Our controls align with the needs of highly regulated environments such as finance, hea..
Link
@varbear shared a link, 1 month ago
FAUN.dev()
Chinese Hackers Use Anthropic's AI to Launch Automated Cyber Espionage Campaign
Chinese state-backed threat actorsorchestrated automated cyber attacks using AI technology developed byAnthropicin a highly refinedespionage campaignin mid-September 2025. The attackers leveraged AI to execute 80-90% of tactical operations independently at physically impossible request rates, markin.. read more
Link
@varbear shared a link, 1 month ago
FAUN.dev()
10 MCP Servers to Optimize Developer Workflows
TheModel Context Protocol (MCP)wires AI agents into real-world dev workflows, think pushing to GitHub, deploying APIs, tweaking Docker, all straight from the code editor. MCP servers like GitHub MCP, Apidog MCP, and Supabase MCP plug into popular tools and infra. They let LLMs update code, ship APIs.. read more
Link
@varbear shared a link, 1 month ago
FAUN.dev()
Zigbook – Learn the Zig Programming Language
Learning Zig is not just about adding a language to your resume. It is about fundamentally changing how you think about software. The book promise: “You came for syntax. You'll leave with a philosophy.”!.. read more
Link
@varbear shared a link, 1 month ago
FAUN.dev()
How to Improve Your Programming Skills by Building Games
Building games forces devs to get good atevent-driven code,modular design,real-time tuning, andcreative debugging, fast. It sharpens instincts aroundECS patterns, math-backed logic, and hands-on UX thinking... read more
Link
@varbear shared a link, 1 month ago
FAUN.dev()
Introducing Code Wiki: Accelerating your code understanding
Google just droppedCode Wikiin public preview. It builds live, structured docs straight from your codebase - and stays synced as things change. Docs evolve with your repo. Automatically. A Gemini-powered chat agent sits at the center, armed with full-repo context, clickable code links, and diagrams .. read more
At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.
Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.
Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.
