Developer Tools
Logs, metrics or traces: which should you set up first?
A decision guide for small teams: start with metrics for alerts, structured logs for detail, and add traces once requests cross several services.
Oct 18, 20263 min read
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Supply Chain Security, in plain English.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
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Logging failures should never crash your application
What happens when the logger cannot write: buffer sizes, non-blocking writes, fallbacks and an alert on silence, so a log outage is not a product outage.
Oct 18, 20263 min read
Developer Tools
Log an error once: stop duplicate stack traces at every layer
Catch, log and rethrow at every layer floods logs with copies of one failure. Log at the boundary where you handle it, and add context as you pass it up.
Oct 18, 20263 min read
Developer Tools
Lockfile only fix vs manifest change: how to review each
A lockfile only security fix and a manifest change carry different risk. How to review each, what to check in the diff and when a frozen install helps.
Oct 18, 20263 min read
Developer Tools
Local model or hosted API? A decision guide for developers
Choose by data sensitivity, quality needs, volume, latency and who will operate it. Six questions that point to a local model, a hosted one, or both.
Oct 18, 20263 min read
Developer Tools
Load shedding vs rate limiting: what is the difference?
Rate limiting caps what each client may send. Load shedding drops work when the whole service is overloaded. Learn when you need each and how they combine.
Oct 18, 20263 min read
Developer Tools
LLM vendor outage plan: degrade, queue or fail over?
When your LLM provider is down, you have three options. A decision guide to choosing one per feature before the outage happens, not during it.
Oct 18, 20263 min read
Developer Tools
LLM cost myths versus facts for engineering teams
Six common beliefs about LLM cost, checked against provider documentation: caching, max_tokens, batching, token counting, defaults and rate limits.
Oct 18, 20263 min read
Developer Tools
Your LLM bill spiked: a step by step cost anomaly runbook
When AI spend jumps, work through a fixed order: contain, locate by workspace and model, check cache and reasoning, find the cause, then prevent a repeat.
Oct 18, 20263 min read
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