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LLMOps: DevOps Strategies for Deploying Large Language Models in Production

LLMOpsshakes up the MLOps scene with tailor-made Kubernetes magic. It wrestlesGPU scheduling, caching, and autoscalingfor those behemothLLM deployments. Keep an eye out for serverless endpoints and model meshes—smooth scaling and a wallet-friendly operation... read more  

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We rewrote large parts of our API in Go using AI: we are now ready to handle one billion databases

Tursooverhauled its API withGoand AI, gunning for 1 billion databases. Think big, act smart. They squeezed every byte by adopting string interning. No more in-memory maps—they swapped them for aSQLite-backedLRU cache. The result? Leaner memory usage and hassle-free proxy bootstrapping... read more  

We rewrote large parts of our API in Go using AI: we are now ready to handle one billion databases
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From Zero to Hero: Build your first voice agent with Voice Live API

TheVoice Live APIditches the clutter of juggling models. One API call, and voilà—real-time,natural-sounding bots. It’s harnessed over WebSocket, keeping everything sharp and efficient... read more  

From Zero to Hero: Build your first voice agent with Voice Live API
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AI agents have access to key data across the enterprise

82% of organizations have AI agents on deck; a mere 44% bother with security policies.That leaves a lot of open doors. A staggering 96% of tech pros are side-eyeing these agents as ticking time bombs, yet 98% plan to unleash more. It's like setting out catnip for hackers. These agents wield power wi.. read more  

AI agents have access to key data across the enterprise
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A visual introduction to vector embeddings

OpenAI's text-embedding-ada-002often gets a peculiar itch at dimension 196—vectors peaking awkwardly there. Entertext-embedding-3-small, swooping in to smooth out the distribution. Now, ontosimilarity metrics. For unit vectors, the dot product is your fast friend. It's interchangeable with cosine si.. read more  

A visual introduction to vector embeddings
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AI didn’t kill Stack Overflow

Stack Overflow once buzzed with collective brainpower. But then, it got too wrapped up in reputation points, a full-on leaderboard obsession. This detour dimmed its shine. It turns out, platforms flourish on real teamwork, not just gamified dick measuring contests. As AI sweeps through the coding wo.. read more  

AI didn’t kill Stack Overflow
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Using AI to outsmart AI-driven phishing scams

Phishing scamsare growing craftier, employing AI likeFraudGPTto weave through filters and masquerade as real emails, boosting scam rates by70%. AI can unveil sneaky phishing patterns humans miss, but it loves a good panic. It often cries wolf with false alarms and needs a babysitter to adjust to eve.. read more  

Using AI to outsmart AI-driven phishing scams
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Linear Programming for Fun and Profit

Modal’s "resource solver" hacks cloud volatility. It taps into thesimplex algorithmto snag cheap GPUs. Scale-ups? Lightning-fast. Savings? In the millions... read more  

Linear Programming for Fun and Profit
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LLM Optimization: LoRA and QLoRA

Learn how LoRA and QLoRA make it possible to fine-tune huge language models on modest hardware. Discover the adapter approach for scaling LLMs to new tasks—and why quantization is the next step in efficient model training... read more  

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Building MCP Servers Like a Pro (With a Little Help from yfinance and LLMs)

Hook LLMs to real-time stock data with MCP + yfinance—see how to build, test, and deploy smarter with help from LLMs... read more  

Apigee is an enterprise-grade API management platform that helps organizations build, manage, and secure APIs at scale. It provides a centralized control plane for exposing backend services as APIs while enforcing security, traffic management, and governance policies.

Apigee supports the complete API lifecycle, including design, versioning, deployment, monitoring, and monetization. It acts as an API gateway, handling concerns such as authentication, authorization, rate limiting, quotas, caching, request transformation, and threat protection without requiring changes to backend services.

The platform offers deep analytics and observability, allowing teams to track API usage, latency, error rates, and consumer behavior. These insights help improve API reliability, performance, and product decisions. Apigee also includes developer portal capabilities, enabling organizations to onboard external and internal developers, publish API documentation, and manage API keys.

Apigee integrates natively with Google Cloud services and supports hybrid and multi-cloud deployments, allowing APIs to run on-premises, in Google Cloud, or across other cloud providers. It supports modern architectures including microservices, Kubernetes-based backends, and service meshes, and is commonly used in regulated industries that require strong security and compliance controls.