Featured Posts

Redis, Valkey, or Dragonfly: revisit the choice before you treat them as the same cache

If your service already uses Redis, the name on the port has not changed. The product behind that name has. Treating Redis, Valkey, and Dragonfly as three labels for one cache is the habit worth unlearning.

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MongoDB 8.0 Performance is 36% higher, but there is a catch…

TLDR: If your app is performance critical, think twice, thrice before upgrading to MongoDB 7.0 and 8.0. Here is why…

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Recent Posts

Embedded key-value stores in 2026: revisit RocksDB, LMDB and Pebble before you build another storage layer

Sooner or later, every backend team meets a problem that looks too small for a database server and too big for a JSON file.

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Self-service BI in 2026: revisit Apache Superset, Metabase and Lightdash before you build another dashboard

Most companies do not decide to “adopt a BI tool”. They drift into one. An analyst installs something on a spare virtual machine to stop emailing Excel files.

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Wide-column databases in 2026: revisit Apache Cassandra, ScyllaDB and YugabyteDB YCQL before you design another partition key

Most teams meet a wide-column database through one table that grew too fast for everything else: an event log per user, a delivery history, a feed or a “last 90 days of activity” screen.

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Team password managers in 2026: revisit Vaultwarden, Passbolt and Psono before you share another password in a spreadsheet

In most small companies the first password manager is a spreadsheet. It starts with five rows: the domain registrar, the office router, the AWS root account, the payment gateway dashboard and the Wi-Fi.

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Virtualization platforms in 2026: revisit Proxmox VE, XCP-ng and Incus before you migrate another virtual machine

Most virtualization migrations in India over the last two years did not start with an architecture review. They started with a renewal quote.

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HTTP caching in 2026: revisit Varnish and Vinyl Cache, Apache Traffic Server and NGINX before you put another cache in front of your app

Most teams add an HTTP cache on a bad day. The home page is slow during a traffic spike, the database is at 100% CPU, and somebody says “let us just put Varnish in front”.

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