Time series stat nerds!
If you have a regular time series that's not instantaneous measurements, do you store it at the start of the period it represents, or the end of the period?
For example, average value over a day, or accumulation or a value over the day, midnight this morning or midnight last night? (Or other timestamps, or in whichever time zone you use.)
Every #TimeSeriesDatabase is just a set of storage decisions:
➡️ Row layout
➡️ Compression timing
➡️ Partitioning strategy
These choices often impact cost and query performance more than the database you pick.
This #InfoQ article breaks down these fundamentals from first principles using #PostgreSQL & #ApacheParquet ⇨ https://bit.ly/4fkDHlV
How #Netflix boosted #ApacheDruid performance: by implementing interval-aware caching, they now serve 84% of analytics results from cache and have reduced query load by 33%.
The secret? Decomposing rolling window queries into reusable time segments.
✅ Reduces scan volume
✅ Improves P90 latency
✅ Optimizes real-time analytics
Details on #InfoQ: https://bit.ly/4uHG4DE
#SoftwareArchitecture #DistributedSystems #DataAnalytics #TimeSeriesData #Caching #BigData #DataEngineering
Grafana Mimir 3.0 is now live!
This release introduces a new design that cleanly separates read & write operations, delivering significant gains in performance, reliability, and cost efficiency for organizations managing metrics at scale.
Dive into the details and explore what’s new: https://bit.ly/4rqnD5G
How time series data is fueling the final frontier
https://fed.brid.gy/r/https://spacenews.com/how-time-series-data-is-fueling-the-final-frontier/
🎉 We're proud to sponsor southeastlinuxfest.org!
Join #VictoriaMetrics in Charlotte, NC (June 13-15) at the Sheraton Charlotte Airport to talk open-source #observability, #monitoring, metrics & #logs.
📣 Don't miss the opportunity to engage with our team.
🗓️ June 13 - 15
📍 Sheraton Charlotte Airport
👉 https://hubs.li/Q03rcR4-0
#TimeSeriesData #self2025 #OpenSource
Instrumenting is hard; learn how to make it easier. Getting value from observability is something most people want, but few have the resources to do it. Mathias will review the strategies he uses to instrument apps, and how many SMB and home lab use cases are handled automatically with #Shiftmon.
🗓️ June 13 at 16:00 EST
📍 Sheraton Charlotte Airport, Charlotte, NC
Let's connect and discuss 👉https://hubs.li/Q03qRLGn0
#self2025 #Logs #Alerting #TimeSeriesData
I used AI2's Scholar QA tool to generate an article on "review current SOTA for burst detection tools for time series data on internet search activity." This AI tool found different math algorithms that could be used in various areas such as medicine and identifying research trends.
https://ai2-scholar-qa.allen.ai/query/9fc3e323-7554-4a0c-a910-1ffa459bdaf1
#burstDetection #timeSeriesData
#QueryAutoCompletion
#triadicCardinalityDistribution
irrational method
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