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Schema migrations in 2026: revisit Atlas, Flyway and Liquibase before you ship another ALTER

Picture a retail SaaS company in Coimbatore that runs order management for textile wholesalers across Tamil Nadu (an invented example, not a real client).

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Change data capture in 2026: revisit Debezium, Apache Flink CDC and PeerDB before you stream another table

Picture a SaaS company in Pune that runs billing for FMCG distributors across Maharashtra (an invented example, not a real client).

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Kubernetes autoscaling in 2026: revisit Karpenter, Cluster Autoscaler and KEDA before you scale another node

Picture a mid-size ecommerce SaaS in Ahmedabad with about 2,200 active sellers (an invented example, not a real client). Its platform team of eight runs checkout, catalogue, search and about 55 other services on Kubernetes on a public cloud.

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Continuous profiling in 2026: revisit Grafana Pyroscope, Parca and the OpenTelemetry eBPF profiler before you store another flame graph

Picture a GST invoicing SaaS in Pune with about 1,800 business customers (an invented example, not a real client). Its platform team of six runs about 40 services, mostly Go with a few Java and Python ones, on a 12-node Kubernetes cluster.

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Data pipeline orchestration in 2026: revisit Apache Airflow, Dagster and Prefect before you schedule another DAG

Picture a two-wheeler loan company in Coimbatore with about ninety branches (an invented example, not a real client). Its data team of five runs about 140 cron jobs on two Linux VMs: shell scripts that pull collections files from a payment gateway SFTP, Python scripts that clean them, and SQL that loads a PostgreSQL reporting database every night.

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Feature flags in 2026: revisit Unleash, Flagsmith and GrowthBook before you hard-code another release toggle

Picture a test-preparation and online classes platform in Jaipur (an invented example, not a real client). Students use an Android app, an iOS app and a React web app.

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