--- title: Best BigData Boutique blog posts — February 2026 | daily.dev description: The most upvoted BigData Boutique blog posts from February 2026, curated by the daily.dev community. canonical: https://daily.dev/sources/bigdataboutique/best-of/2026/02 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/sources/bigdataboutique/best-of/2026/02 og:type: website og:site_name: daily.dev og:title: Best BigData Boutique blog posts — February 2026 | daily.dev og:description: The most upvoted BigData Boutique blog posts from February 2026, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of BigData Boutique blog — February 2026 1. 1 [](https://daily.dev/posts/the-kfc-architecture-blueprint-kafka-flink-and-clickhouse-paqo9mxvw "The KFC Architecture Blueprint: Kafka, Flink, and ClickHouse") Article BigData Boutique blog · 30w The KFC Architecture Blueprint: Kafka, Flink, and ClickHouse The KFC Architecture Blueprint combines Kafka, Flink, and ClickHouse into an end-to-end real-time data processing stack. Kafka handles event ingestion and decoupling, Flink manages stateful stream processing (windowed joins, sessionization, exactly-once semantics), and ClickHouse delivers sub-second analytical queries at scale. The pattern suits use cases like fraud detection, clickstream analytics, IoT telemetry, and financial market data. However, the full stack is often overkill — many workloads can skip Flink entirely by using ClickHouse's Kafka Table Engine with materialized views. The practical guidance: start with Kafka feeding directly into ClickHouse, and only add Flink when you genuinely need stateful joins, complex windowing, or exactly-once delivery with side effects. 66 2. 2 [](https://daily.dev/posts/everything-you-need-to-know-before-building-ai-agents-ube2oh8qr "Everything You Need to Know Before Building AI Agents") Article BigData Boutique blog · 30w Everything You Need to Know Before Building AI Agents AI agents differ from chatbots by autonomously controlling workflow through iterative problem-solving rather than single-shot responses. They consist of three core components: memory (short-term, long-term, and working), planning/reasoning (decomposing goals into subtasks), and tools (APIs and external integrations). Autonomy levels range from operator assistance to full independence, with Level 2-3 being optimal for most production systems. Common pitfalls include building agents for deterministic workflows, poor tool definitions, lack of evaluation frameworks, and missing observability. Most production agents struggle with quality issues, and the engineering challenge lies in moving from demo to reliable production system. 13 3. 3 [](https://daily.dev/posts/kafka-mirrormaker-2-deployment-gotchas-and-disaster-recovery-failback-playbook-9mtl678xr "Kafka MirrorMaker 2: Deployment, Gotchas, and Disaster Recovery Failback Playbook") Article BigData Boutique blog · 29w Kafka MirrorMaker 2: Deployment, Gotchas, and Disaster Recovery Failback Playbook A practical guide to deploying Kafka MirrorMaker 2 (MM2) for cluster replication, covering deployment topology, connector configuration, and production gotchas. Key decisions include deploying MM2 alongside the target cluster, choosing between DefaultReplicationPolicy and IdentityReplicationPolicy before going live, and tuning client parameters for high-throughput workloads. Common pitfalls include config drift (sync.topic.configs.enabled is unreliable), and topic recreation on the source causing scrambled offsets that require manual connector reset. The post closes with a detailed failback playbook: validate primary cluster health, establish temporary reverse replication from DR to primary, move consumers before producers, drain replication lag to zero before producer cutover, and always rehearse the procedure in non-production first. 10 [See all BigData Boutique blog archives](/sources/bigdataboutique/best-of) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@graph":[{"@type":"CollectionPage","@id":"https://daily.dev/sources/bigdataboutique/best-of/2026/02#page","url":"https://daily.dev/sources/bigdataboutique/best-of/2026/02","name":"Best BigData Boutique blog Posts — February 2026","description":"The most upvoted BigData Boutique blog posts from February 2026, curated by the daily.dev community.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/sources/bigdataboutique/best-of/2026/02#items","numberOfItems":3,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/the-kfc-architecture-blueprint-kafka-flink-and-clickhouse-paqo9mxvw","name":"The KFC Architecture Blueprint: Kafka, Flink, and ClickHouse"},{"@type":"ListItem","position":2,"url":"https://daily.dev/posts/everything-you-need-to-know-before-building-ai-agents-ube2oh8qr","name":"Everything You Need to Know Before Building AI Agents"},{"@type":"ListItem","position":3,"url":"https://daily.dev/posts/kafka-mirrormaker-2-deployment-gotchas-and-disaster-recovery-failback-playbook-9mtl678xr","name":"Kafka MirrorMaker 2: Deployment, Gotchas, and Disaster Recovery Failback Playbook"}]},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Sources","item":"https://daily.dev/sources"},{"@type":"ListItem","position":3,"name":"BigData Boutique blog","item":"https://daily.dev/sources/bigdataboutique"},{"@type":"ListItem","position":4,"name":"Best of","item":"https://daily.dev/sources/bigdataboutique/best-of"},{"@type":"ListItem","position":5,"name":"February 2026"}]}]} ```