Skip to content
tezvyn:
Menu

☁️DevOps & Cloud

Infrastructure, containers, CI/CD, and cloud

1173 bites

Test yourself: Top 30 DevOps & Cloud interview questions →Multiple choice, with the correct answer and why it is correct on every question. Free, no sign-in.

Everything in DevOps & Cloud, page 2

intermediate1 min read

Breaking tunnel vision during an incident

Call out the assumption, ask for disconfirming evidence, list parallel hypotheses, split responders to investigate them, and anchor on what changed and the data.

intermediate1 min read

Key roles in incident response

Incident Commander coordinates and decides but does not fix; Communications Lead handles stakeholders; Operations/SMEs do hands-on diagnosis and remediation.

intermediate2 min read

OpenTelemetry agent and gateway architecture

Agents run per-node for local collection and host enrichment; gateways are central, horizontally scaled pools for batching, tail sampling, and routing.

intermediate1 min read

First-SRE 90-day plan at a startup

Listen and measure first, pick one high-impact service, define SLIs/SLOs and basic alerting, then show reduced toil or incidents to leadership.

intermediate2 min read

Designing shallow vs deep health checks

Shallow checks confirm the process is alive; deep checks verify dependencies; use shallow for liveness/load-balancer routing and deep sparingly to avoid…

intermediate1 min read

Rolling update vs blue-green deployment

Rolling replaces instances gradually with minimal extra capacity but mixes versions; blue-green runs two full environments for instant switch and rollback at double the cost.

intermediate1 min read

Writing high-quality postmortem action items

Good action items are specific, assigned to an owner, prioritized, tracked to completion, and ideally prevent recurrence rather than just detect faster.

intermediate1 min read

Calculating downtime for a 99.9% SLO

0.1% of 30 days is roughly 43 minutes of allowed downtime; healthy budget enables faster shipping while depletion slows or freezes deploys.

advanced1 min read

Designing an error budget policy

Define SLO and budget, tiered consequences as burn worsens, a feature freeze on exhaustion, and concrete earn-back criteria.

intermediate1 min read

Keeping a postmortem blameless after an admission

Acknowledge the courage, redirect from who to why the system allowed it, ask what guardrails were missing.

intermediate1 min read

Conducting a Production Readiness Review

Assess monitoring and alerting, capacity and load testing, failure modes and dependencies, on-call and runbooks, and rollback or release safety.

intermediate1 min read

Embedded vs consulting SRE engagement models

Embedded SREs sit inside one team for deep impact but limited reach; consulting SREs advise many teams broadly but shallowly.

intermediate2 min read

A team keeps blowing its error budget. First steps?

Analyze where the budget is burning via SLIs and postmortems, validate the SLO and SLIs are sound, then partner blamelessly on the top fixes.

easy2 min read

What is an error budget and how is it used?

The budget is the allowed unreliability (100 percent minus the SLO); track its burn, ship freely when budget remains, and freeze risky changes to focus on reliability when exhausted.

easy2 min read

Defining SLIs and an SLO for an auth service?

Pick user-centric SLIs like login availability and latency, measure good over valid events at the right boundary, then set an achievable SLO with a window.

advanced2 min read

Client-side chaos for an uncontrollable third party?

Inject faults at your client boundary via a proxy or fault-injecting wrapper, simulate timeouts, errors, and latency, then verify timeouts, retries, breakers, and fallbacks.

advanced2 min read

Chaos test for gray-failure cascades in shared services?

Inject partial latency into a shared service, hypothesize tenants stay isolated within steady state, and monitor cross-system queue depth, pool saturation, retries, and per-tenant SLIs.

intermediate2 min read

Automating chaos in CI/CD for continuous verification?

Run codified experiments against staging or canary with pass/fail on steady-state SLIs; prerequisites are observability, automated abort, and isolation.

intermediate1 min read

Resource faults versus network faults: when each matters?

Resource faults probe local saturation and autoscaling; network faults probe distributed-call resilience like timeouts and retries.

intermediate2 min read

Why does 200ms latency drop requests? Diagnose it.

Little's Law shows added latency raises in-flight requests, exhausting the thread or connection pool; check pool saturation, timeouts, and retries.

We are hiring for this. Every open role lists the topics its interview covers, so you can prepare for the real thing rather than guessing.

See open roles