Mastodawn

Ever heard about SaQC, a software tool for reproducible #quality control of #timeseriesdata developed at @ufz? Here is what #wikidata knows about it: https://www.wikidata.org/wiki/Q128228853

SaQC

Software tool for reproducible quality control of time series data

InfoQ Nov 28

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

#InfoQ #DevOps #TimeSeriesData #Observability #Grafana

SpaceNews [Unofficial]Oct 1, 2025

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/

VictoriaMetrics Jun 11, 2025

🎉 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

Show thread

VictoriaMetrics Jun 6, 2025

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

Show thread

VictoriaMetrics Apr 22, 2025

This talk will explain what alerting and recording rules are, what tools are available, how to avoid alert fatigue, and provide guidance for finding the best solution for your use case.
🗓️ Sun, Apr 27 | 10:30 AM PST
📍 Bellingham Technical College
👉 @lfnw
#timeseriesdata #opensource #observability #monitoring #metrics #logs

MottG Apr 20, 2025

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

Ai2 ScholarQA

zartom Feb 20, 2025

Efficient DB2 Timestamp Queries: Retrieving Data Within 24 Hours
Master efficient DB2 Timestamp Queries! Learn to retrieve data within specific timeframes, like the last 24 hours, using dynamic approaches. Avoid error-prone manual timestamp input. #DB2Query #SQLTips #DatabaseQuery #TimeSeriesData #DataAnalysis #DB2Tutorial
https://tech-champion.com/database/db2luw/efficient-db2-timestamp-queries-retrieving-data-within-24-hours/

VictoriaMetrics Jan 9, 2025

🚀 When Metrics Meet vminsert: A Data-Delivery Story
Breaking down how different components of #VictoriaMetrics do their thing: This time, we're focusing on vminsert.
🔍 Here's a sneak peek:
🔌 Accepting connections.
🤝 Handshake.
⏭️ Parse and Relabel.
✂️ Sharding and Buffering.
🚚 Replication and Sending Data to #vmstorage.
Learn more in latest blog post from Phuong Le:

https://victoriametrics.com/blog/vminsert-how-it-works/

#Observability #timeseriesdata

When Metrics Meet vminsert: A Data-Delivery Story

vminsert acts as a gateway for incoming monitoring data. It receives data in different formats, processes it by parsing and adjusting labels, then uses memory buffers to send this data to storage nodes. It’s smart enough to always send the same type of data to the same storage node and can redirect data if a node isn’t working properly.

VictoriaMetrics

InfoQ Dec 11, 2024

Deep dive into #Netflix’s Distributed Counter Abstraction - a scalable service that tracks user interactions, feature usage, and business performance metrics with low latency globally.

“At Netflix, our counting use cases include tracking millions of user interactions, monitoring how often specific features or experiences are shown to users, and counting multiple facets of data during A/B test experiments, among others.”

Learn more: https://bit.ly/49tO41Z

#InfoQ #CaseStudy #DistributedSystems #EventsDrivenArchitecture #TimeSeriesData

Inside Netflix’s Distributed Counter: Scalable, Accurate, and Real-Time Counting at Global Scale

Netflix engineers recently published a deep dive into their Distributed Counter Abstraction, a scalable service designed to track user interactions, feature usage, and business performance metrics wit

InfoQ