Understand the pieces.
See how they connect.

Check access first.Authentication establishes who is calling. Authorization decides what that caller may do. Knowing someone’s identity does not grant every permission.

Keep failure from spreading.A timeout bounds how long to wait. A bounded retry may recover a temporary failure. Backoff adds delay between attempts; jitter varies that delay so clients do not all retry together.

Stop hammering a failing service.A circuit breaker temporarily blocks calls after repeated failures, then probes for recovery. It reduces wasted calls; it does not repair the provider.

Rate is work per unit of time.For example, 10 requests per second. A token bucket can allow brief bursts while enforcing a longer-term average. These tokens are permissions, not the text tokens a language model reads.

Concurrency is work happening at once.Slow requests stay active longer. Even a modest arrival rate can exhaust memory or connections if each request takes a long time.

A queue buys time, not capacity.It absorbs short bursts. If work keeps arriving faster than it finishes, the queue fills and waiting becomes unacceptable. Backpressure tells upstream callers to slow down or try later.

Package, then place.Docker helps build and run containers. Kubernetes schedules Pods onto nodes with suitable resources. A Pod can contain one or more closely related containers.

Requested capacity is not usable capacity yet.A new copy may wait for resources, download its image and initialize. A readiness check determines whether it should receive service traffic. A liveness check asks whether a running container needs restarting.

Scale the actual bottleneck.More replicas can help a busy application. They cannot raise an external model provider’s quota or fix a slow shared database by themselves.

Metrics reveal patterns.Use request counts, error rates and latency distributions. Latency is elapsed time; p95 is the duration that about 95% of measured requests are at or below. An average can hide a slow minority.

Traces connect the steps.A trace follows one request across components. Each timed operation is a span. In the example, the model call is worth investigating before optimizing the short access check.

Logs add event details.Record structured fields and a correlation ID. Avoid logging secrets or sensitive prompts by default, and control who can read the logs.

Define success before comparing.Use tasks like explaining code, proposing a change or calling a tool. Decide what a correct, useful answer looks like, including important failure cases.

Look past the overall average.Inspect results by task and risk. A strong average can hide failures on an essential category. Also compare latency, cost and data-handling requirements.

Keep checking after adoption.Real usage differs from a test set. Record model and prompt versions so regressions are traceable, and keep a route back to an acceptable version.

Treat retrieved content as untrusted input.A document can contain instructions designed to redirect the agent. This is prompt injection. Text claiming to be authoritative must not grant new permissions.

Give tools only the access they need.Least privilege means narrow file, network and credential access. A sandbox restricts where execution can reach; it does not prove that an action is correct.

Match evidence to the actual change.Test and review the exact code that will be applied. Require human approval where the action’s consequences or policy call for it. Recheck relevant evidence when the change is revised.

Precision describes the findings.Of the issues flagged, how many are real? Low precision means engineers spend time dismissing false alarms.

Recall describes the bugs.Of the real bugs, how many were found? You cannot measure missed bugs by looking only at flagged code; inspect unflagged code or use known test cases too.

Validate the claim.Read the surrounding code and requirements. Reproduce the problem or add a relevant test. A confident explanation is not a substitute for evidence.

Reuse the same operation ID on a retry.The server must recognize it within a defined retention period. Scope IDs to the caller and operation; reject reuse with a conflicting payload. A new ID can look like new work.

Make duplicate protection atomic.A transaction and a uniqueness rule prevent concurrent retries from both applying the change. Saving the marker after the effect leaves a crash window between them.

Respect the boundary.A database transaction does not include an unrelated email service. An outbox saves a message alongside the database change for later delivery; the receiver still needs to handle duplicate deliveries.

Verify the actual user path.DNS must resolve the name, TLS must secure the connection, the app must respond, and the intended workflow must succeed. Any one check alone is incomplete.

Compare versions using meaningful signals.Track errors, latency and task success for the candidate versus the current version. Predefine when to pause or roll back instead of deciding under pressure.

Prepare recovery before changing traffic.Keep known working artifacts and compatible configuration. Database migrations can make rollback harder, so plan data compatibility too. Infrastructure as code makes environment changes reviewable and repeatable.