Cut Your Docker Build Time in Half: 6 Essential Optimization Techniques
Pro tips to write dockerfiles. Cut your build timing of your images by half.
Updates and recent posts about Vertex AI.. Link
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@laura_garcia shared a post, 5 months, 4 weeks ago
Software Developer, RELIANOID
The JLR Cyber Incident: A Warning Shot for the Automotive Industry
The major cyberattack that halted Jaguar Land Rover’s production for almost six weeks has exposed a hard truth: modern automotive manufacturing is deeply vulnerable to digital disruption. From frozen assembly lines to supplier chaos and regional economic fallout, the incident showed how quickly a si..
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@anjali shared a link, 6 months ago
Customer Marketing Manager, Last9
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.
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@shurup shared a post, 6 months 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..
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@laura_garcia shared a post, 6 months 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..
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@anjali shared a link, 6 months 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.
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@laura_garcia shared a post, 6 months 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..
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@varbear shared a link, 6 months 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
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@varbear shared a link, 6 months 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
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@varbear shared a link, 6 months 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
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.
