kubernetes
8 minKubernetes Requests, Limits, and Autoscaling: A Practical Capacity Model
Connect pod resource requests and limits to scheduling, throttling, eviction risk, and Horizontal Pod Autoscaler behavior.
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Q&A
Q&AWhat happens when a Kubernetes container reaches its CPU or memory limit?
CPU can be throttled; exceeding a memory limit can trigger an OOM kill.
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CPU usage above a configured limit is throttled, which can increase latency without stopping the process. Memory is not throttled in the same way: crossing the container limit can cause the kernel to kill the process, often reported as OOMKilled. Requests affect scheduling and utilization-based HPA calculations, so tune all values from observed workload behavior.
Q&A
Q&ADoes Promise.all limit how many operations an eager map starts?
Promise.all aggregates promises already supplied to it. Eagerly mapping a large list can start all work at once, so downstream capacity needs a separate concurrency bound.
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Promise.all aggregates promises already supplied to it. Eagerly mapping a large list can start all work at once, so downstream capacity needs a separate concurrency bound.
Q&A
Q&AWhy rotate a session identifier after authentication?
Rotation limits session fixation. A session identifies a principal, while each protected operation still requires independent authorization.
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Rotation limits session fixation. A session identifies a principal, while each protected operation still requires independent authorization.
Q&A
Q&AHow does top-N syntax differ across PostgreSQL, MySQL, and Oracle?
PostgreSQL and MySQL commonly use LIMIT; Oracle supports FETCH FIRST and legacy ROWNUM patterns.
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PostgreSQL and MySQL support ORDER BY with LIMIT; standard FETCH FIRST syntax is also available in modern versions. Oracle supports FETCH FIRST in current versions; older ROWNUM queries must sort in an inner query before limiting in an outer query. Always specify deterministic ordering and test the exact target version.
unix
18 minLinux Under Load: Epoll, File Descriptors, OOM, TCP Queues, and VFS
Connect kernel readiness APIs, resource limits, cgroups, socket queues, page cache, and inode behavior to production symptoms.
distributed systems
18 minDistributed Systems Advanced: Rebalancing, Sagas, Consensus, and Trace Context
Design around Kafka group churn, payment idempotency, coordination limits, sagas, CQRS, and context propagation across async boundaries.
kubernetes
5 minKubernetes CronJobs: Timezones, Missed Starts, and Duplicate Work
Operate a scheduled report as a reconciled workload with explicit timezone, lateness limits, and application-level deduplication.