Speculative Decoding Explained: How EAGLE-3 Makes LLMs 2-3x Faster Without Changing Outputs
Autoregressive decoding is the reason large language models feel slow: every token is generated by a full forward pass, and
Autoregressive decoding is the reason large language models feel slow: every token is generated by a full forward pass, and
PostgreSQL takes an ACCESS EXCLUSIVE lock for most ALTER TABLE operations. That lock conflicts with everything — reads, writes, even
You open your tracing backend to debug a slow checkout request and find five disconnected traces instead of one. Five
Your microservices fleet has 3,000 machine identities and 300 employees — a 10:1 ratio that is conservative by industry standards,
Every API with more than a handful of consumers eventually faces the same problem: an endpoint or field you designed
Continue readingDeprecating API Endpoints Without Breaking Consumers: Deprecation and Sunset Headers
For most of Python’s history, the answer to “can I use threads for CPU-bound work?” was a firm no. The
Continue readingPython’s GIL Is Now Optional: What Free-Threaded Python 3.14 Means for Your Code
JWTs are everywhere because they solve an ugly problem: how does a stateless service know who’s calling without a database
Every PostgreSQL backend process is a full Unix process with its own megabytes of memory. That design choice buys you
When an LLM serves a 2,000-token response to a prompt of 10,000 tokens, it does something that looks absurd from
Continue readingPagedAttention and the KV Cache: How OS Paging Explains Modern LLM Serving
Every Prometheus failure I’ve seen in production started the same way: someone added a label. A user ID on a