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Lakehouse table formats in 2026: revisit Apache Iceberg, Delta Lake and Apache Hudi before you pick another format

Picture a payments and lending analytics platform in Hyderabad (an invented example, not a real client). Card authorisations and EMI schedules still land in PostgreSQL 16.

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Real-time OLAP in 2026: revisit ClickHouse, Apache Doris and StarRocks before you build another dashboard warehouse

Picture an ecommerce and last-mile logistics platform in Bengaluru (an invented example, not a real client). Order capture and inventory still run on PostgreSQL 16.

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Distributed SQL in 2026: revisit CockroachDB, YugabyteDB and TiDB before you shard or go multi-region

Picture a mutual fund and stockbroking platform in Mumbai (an invented example, not a real client). Its order book and client ledger run on PostgreSQL 16 with Patroni across three VMs in one cloud region, and a rewards service runs on MySQL 8.

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Durable execution in 2026: revisit Temporal, Restate and DBOS before you hand-roll retries, sagas and cron jobs

Picture an online pharmacy and diagnostics booking company in Ahmedabad (an invented example, not a real client). An order goes through five steps: hold the medicine stock, take the UPI payment, book a courier slot, send the customer an SMS, and, if the courier cannot pick up within four hours, release the stock and refund.

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Kubernetes admission policy in 2026: revisit Kyverno, Gatekeeper and ValidatingAdmissionPolicy before you add another policy engine

Picture a health insurance technology company in Chennai (an invented example, not a real client). Its platform team runs eleven Kubernetes clusters.

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PostgreSQL high availability: revisit Patroni and CloudNativePG before your next failover

Picture a lending company in Bengaluru (an invented example, not a real client). Its loan ledger runs on PostgreSQL 16 across three VMs, managed by Patroni with a three-node etcd cluster and HAProxy in front.

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