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Random Bulletin

17-year internet software developer specializing in AI applications, networking, architecture, and open source. Led the delivery of network services handling hundreds of millions of concurrent devices and tens of millions of QPS, and has three years of experience designing and building an agent platform. Follow to stay updated.

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Latest from Random Bulletin

81 recent articles

Random Bulletin

Aug 20, 2026 · Cloud Native

TraceID Propagation: From Manual Hand‑coding to Automatic OpenTelemetry

The article explains why propagating TraceID and parent SpanID across services, processes, and asynchronous boundaries is essential for complete distributed tracing, outlines the pain points of manual header handling, and walks through the evolution toward standardized W3C Trace Context, automatic instrumentation, and OpenTelemetry‑based solutions while highlighting async and service‑mesh pitfalls.

OpenTelemetryW3C Trace Contextasynchronous context

0 likes · 18 min read

TraceID Propagation: From Manual Hand‑coding to Automatic OpenTelemetry

Random Bulletin

Aug 19, 2026 · Operations

Sampling at Ten‑Million QPS: From Full to Intelligent Adaptive Sampling

The article explains how sampling serves as the cost‑fidelity knob in distributed tracing, why full sampling collapses at ten‑million QPS, compares head‑based, tail‑based, and intelligent adaptive strategies, and shows how tools like OpenTelemetry, Jaeger, and AWS X‑Ray implement these approaches.

JaegerOpenTelemetryadaptive sampling

0 likes · 19 min read

Sampling at Ten‑Million QPS: From Full to Intelligent Adaptive Sampling

Random Bulletin

Aug 18, 2026 · Operations

From Single‑Node to Distributed Monitoring Storage: Scaling TSDB for Million‑QPS

The article explains how a single‑machine Prometheus TSDB initially works well but eventually hits five scalability walls—capacity, single‑point failure, short retention, lack of global view, and throughput limits—and then details the step‑by‑step evolution to remote_write with object‑storage‑backed Thanos and finally to native distributed TSDBs such as Cortex, Mimir, and VictoriaMetrics, including their trade‑offs, costs, and practical selection guidance.

CortexDistributed SystemsPrometheus

0 likes · 21 min read

From Single‑Node to Distributed Monitoring Storage: Scaling TSDB for Million‑QPS

Random Bulletin

Aug 17, 2026 · Operations

Push vs Pull for Million‑QPS Monitoring: Hybrid Edge Pull and Central Push

At massive scale, the choice between push‑based and pull‑based metric collection determines monitoring system survivability; the article examines StatsD’s push model, Prometheus’s pull model, their trade‑offs, and proposes a hybrid edge‑pull, central‑push architecture to balance flow control, health checks, and network topology.

PrometheusStatsDhybrid architecture

0 likes · 18 min read

Push vs Pull for Million‑QPS Monitoring: Hybrid Edge Pull and Central Push

Random Bulletin

Aug 16, 2026 · Operations

Real‑Time Alerting at Million‑QPS: From Static Thresholds to Intelligent Detection

At massive scales of millions of QPS and hundreds of metrics, static alert thresholds become noisy and hard to maintain; the article walks through a stepwise evolution—adding sustained‑duration and multi‑condition rules, adopting dynamic baselines, leveraging anomaly detection, and applying correlation, RCA and SLO burn‑rate techniques—to transform alerts from simple threshold breaches into precise, user‑experience‑focused notifications while combating alert fatigue.

AIOpsSLOalerting

0 likes · 18 min read

Real‑Time Alerting at Million‑QPS: From Static Thresholds to Intelligent Detection

Random Bulletin

Aug 14, 2026 · Operations

Why Metric Counts Explode from Thousands to Millions in High‑QPS Systems

A single high‑cardinality label can cause a monitoring system to crash as metric series jump from hundreds of thousands to millions, overwhelming storage, queries, collection, cost, and signal‑to‑noise; the article explains the root cause, impact dimensions, and practical mitigation strategies such as cardinality control, distributed TSDBs, downsampling, pre‑aggregation, and proper division of metrics, traces, and logs.

PrometheusTSDBhigh cardinality

0 likes · 17 min read

Why Metric Counts Explode from Thousands to Millions in High‑QPS Systems

Random Bulletin

Aug 13, 2026 · Cloud Native

Canary Releases: From Simple Percentages to Precise, Attribute‑Based Deployments

The article examines how traditional percentage‑based canary releases evolve into fine‑grained, attribute‑driven deployments with session stickiness, automated SLO gating, traffic mirroring, and service‑mesh integration, highlighting five pain points, practical solutions, and the hidden prerequisites for large‑scale systems.

IstioKubernetesSLO

0 likes · 19 min read

Canary Releases: From Simple Percentages to Precise, Attribute‑Based Deployments

Random Bulletin

Aug 12, 2026 · Operations

Unitized Deployment: Turning a Shared Cluster into N Isolated, Self‑Contained Units for 10M+ QPS

The article explains why a monolithic shared‑cluster architecture hits a hard limit at the central database, introduces unitized deployment with RZone/GZone/CZone models and routing correction, and evaluates the resulting unlimited horizontal scaling, reduced blast radius, multi‑region active‑active capability against the high refactoring, data‑sync, operational and data‑correctness costs.

CZoneGZoneRZone

0 likes · 22 min read

Unitized Deployment: Turning a Shared Cluster into N Isolated, Self‑Contained Units for 10M+ QPS

Random Bulletin

Aug 11, 2026 · Backend Development

From Exclusive to Shared: Mastering Multi‑Tenant Architecture for Massive QPS

The article examines why single‑tenant SaaS incurs exploding cost and operational overhead, explains how logical tenant_id isolation boosts resource density, outlines a spectrum of isolation levels with six shared‑deployment challenges, and presents cell‑based partitioning as a practical solution.

SaaSarchitecturecell-based

0 likes · 20 min read

From Exclusive to Shared: Mastering Multi‑Tenant Architecture for Massive QPS

Random Bulletin

Aug 10, 2026 · Cloud Native

From Embedded SDKs to Sidecars: How Service Mesh Evolves Governance at Scale

The article examines how embedding service‑governance logic in application processes creates multi‑language, upgrade, coupling, and resource "taxes," and how moving that logic to sidecar proxies and a centralized Service Mesh shifts those costs while delivering language‑agnostic, upgrade‑decoupled, zero‑trust, and declarative traffic management, albeit with new performance, resource, and operational overheads.

GovernanceSidecarcloud-native

0 likes · 21 min read

From Embedded SDKs to Sidecars: How Service Mesh Evolves Governance at Scale