Introducing GreptimeDB v0.7 — Unlock the Future of Cloud-Native MonitoringLast week, we unveiled the GreptimeDB roadmap for 2024, charting out several significant updates slated for this year. With the advent of spring in early March, we also welcomed the debut of the first production-grade version of GreptimeDB. v0.7 repr...6 min read·greptime.hashnode.devMar 7, 2024
What to Expect Next? GreptimeDB Roadmap for 2024Since GreptimeDB's open-sourcing on November 15th, 2022, we have stepped on the committed journey towards crafting a fast and efficient data infrastructure. This endeavor has been propelled by the collaborative efforts of both our dedicated team and ...5 min read·greptime.hashnode.devMar 1, 2024
Research Paper Sharing - Exploiting Cloud Object Storage for High-Performance AnalyticsIn this sharing, we discuss a paper by Dominik Durner, Viktor Leis, and Thomas Neumann from the Technical University of Munich (TUM), published in July 2023 in PVLDB (Volume 16 No.11): Exploiting Cloud Object Storage for High-Performance Analytics. D...9 min read·greptime.hashnode.devFeb 2, 2024
GreptimeAI + Xinference - Efficient Deployment and Monitoring of Your LLM ApplicationsWith the rapid evolution of artificial intelligence technology, OpenAI has established itself as a frontrunner in the field. It demonstrates remarkable proficiency in a range of language processing tasks, including machine translation, text classific...5 min read·greptime.hashnode.devJan 24, 2024
Memory Leak Diagnosing using Flame GraphsStarting with greptimedb#1733 in last June, GreptimeDB has adopted Jemalloc as its default memory allocator. This change not only boosts performance and reduces memory fragmentation but also offers convenient memory analysis capabilities. In our prev...5 min read·greptime.hashnode.devJan 19, 2024
