Menu

Post image 1
Post image 2
Post image 3
Post image 4
Post image 5
1 / 5
0

Scaling real-time performance with Bigtable in-memory tier

Google Cloud Blog·Anton Gething, Sudarshan Kadambi·26 days ago
#IjJHr0Dr
#typical#memory#bigtable#tier#cache#article
Reading 0:00
15s threshold

In the high-stakes world of digital infrastructure, speed isn't just a metric — it’s currency. At Google Cloud Next ‘26 we announced the Bigtable in-memory tier , a breakthrough for our fully managed cloud database service that delivers: Sub-millisecond read latency for time-sensitive data ~10x higher point read throughput per dollar , dramatically reducing TCO Hotspot resistance , supporting up to 120,000 queries per second on a single row without breaking a sweat. For more information see Bigtable performance documentation . Now, let's look at the impact Bigtable in-memory tier can have on your workload performance and operational processes.   The cache-miss nightmare: A familiar story Imagine it’s 2:00 AM. Your promotional campaign just went viral, and traffic is spiking. Your database architecture, meanwhile, is a house of cards: a primary database struggling to keep up and a separate caching layer acting as a shield.…

Continue reading — create a free account

Join HashtagPLUS to read full articles, follow hashtags, vote, and join the conversation.

Read More