The three timeouts every network call needs
A network call can hang while connecting, while waiting for the next byte, or by dribbling data forever. Connect, read and total timeouts each cover one of those, and some clients set none by default.
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A network call can hang while connecting, while waiting for the next byte, or by dribbling data forever. Connect, read and total timeouts each cover one of those, and some clients set none by default.
logrotate can rotate a log by renaming it or by copying and truncating it. One can lose lines, the other needs the program to reopen its file. How to tell which your service needs.
An agent that retries a failing tool call immediately, at every layer, can turn a short blip into an outage. Backoff, jitter, retry limits and which errors to retry at all.
If your agent logs one JSON object per line, five short jq filters turn that log into answers: which tool calls failed, which tools fail most, which steps were slowest, and how much time the logged calls span.
The same line in an environment file can give three different values in Docker Compose, a systemd unit and a shell. Three documented differences: comments, backslashes and spaces.
Both run a job on a schedule. They differ in what happens when the machine was off, when the last run is still going, where the output ends up, and who hears about a failure.
Clippy's defaults catch a lot, and its stricter groups catch more. Which groups to enable, three individual lints worth adding, and how to set them once in Cargo.toml for the whole project.
One blocking call in a Tokio task can stall every other task on that thread. How to recognise blocking work, when spawn_blocking is the answer, and when a dedicated thread is the better one.
"It's faster now" is a claim, and one timed run can't support it. Warm-up, repeated runs, outliers, noise thresholds and what to write down, using hyperfine and Criterion.rs as worked examples.
On-call instructions get read at 3 a.m. by someone stressed and half awake. What Google's SRE books say playbooks should contain, and a format for entries that still work when the reader can barely think.
HyDE embeds a passage a language model writes in answer to the query, then searches with it. How to build it, and where it stops helping.
Cross-encoders score a query and a document in one pass, which makes them more accurate than embedding search and too slow for a whole corpus. Use them to rerank the top hits.
Use npm ci in CI so builds install the committed dependency tree, and learn why it errors when package.json and package-lock.json disagree.
Llama Guard classifies user prompts and model replies against a hazard taxonomy. Here is where to place it in a request path and how to read its category labels.
Record stack samples with perf record -g, fold them with stackcollapse-perf.pl, render an SVG with flamegraph.pl, and read the width of each box as time spent.
Use py-spy dump, top and record to see what a stuck or slow Python process is doing without restarting it, and grant the ptrace access it needs on Linux, Docker and Kubernetes.
Send breakpoint() calls to pdb, another debugger, a custom hook, or nowhere, by setting one environment variable instead of editing code.
Errexit skips failures in conditions, && and || lists, negated commands and early pipeline stages. Learn the rules from the Bash manual and POSIX, and how pipefail closes the pipeline gap.
Turn promptfoo assertions into a required GitHub check: deterministic tests, the action's failure rules, branch protection, and the path-filter trap that leaves checks pending.
MIG cuts a supported NVIDIA GPU into up to seven instances with their own memory, cache and compute. How to create them and pick a profile for a model server.
Build a three-sample Inspect task with a solver chain and a built-in scorer, run it with inspect eval, and read the log to tell a wrong answer from a format mismatch.
Swap TestModel or FunctionModel in for the real model and block real model requests, so Pydantic AI agent tests run fast, free and the same way every time.
Generate n samples per problem, count the passes, and compute 1 - C(n-c,k)/C(n,k). The common 1-(1-p)^k shortcut underestimates pass@k.
Input and output share one context window. Count the input, give max_tokens what remains, and handle the two stop reasons that mean the answer was cut short.