DevOps
fromInfoWorld
4 days agoUpdate your databases now to avoid data debt
Multiple major open source databases reach end-of-life in 2026, requiring teams to plan upgrades and migrations to avoid security risks and higher costs.
Redis Enterprise 7.2 comes to its official end of life in February 2026, so what should users do in this situation and what lessons can they take away for the end-of-life management experiences that they will inevitably experience with other platform and tools? Redis is good, but when a version update drives users into an alleyway, what should they do? As an open source, in-memory data store known for its ability to act as a distributed cache, message broker and database, Redis is lauded for its high-performance, low-latency read/write speeds achieved through memory data storage. Come February next year, Redis software application developers, data science professionals and other connected operations staff will need to have been doing some prudent planning.
Most data projects don't fail because of bad tech. They fail because of bad planning. Data migration is one of those high-stakes tasks that looks straightforward until you're knee-deep in broken integrations, mismatched fields, and missing records. In fact, poor planning is a top reason why data migrations run over budget or fall apart entirely. Cutting it short: Without a solid data migration checklist, it's chaos. That's why having a clear, well-structured migration plan is critical.