The latest update for #Last9 includes "HAProxy #Monitoring: Stats, #Prometheus Metrics and Alerts" and "ClickHouse Monitoring: Key Metrics, System Tables and Alerts".
#Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh

The latest update for #Last9 includes "HAProxy #Monitoring: Stats, #Prometheus Metrics and Alerts" and "ClickHouse Monitoring: Key Metrics, System Tables and Alerts".
#Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
📆 October 14th, at 5:00 PM CEST
📍 Online
See you soon!
ocgroups.dev/cncf/group/j...
𝗦𝗟𝗔 points to a new direction for sensor intelligence: moving beyond simply perceiving signals toward explaining and connecting them to actions in the real world. 🚀
👇
🌐: yang-ai-lab.github.io/OpenSLA
#AI #SensorAI #HealthAI #LLM #MultimodalAI #FoundationModels #TimeSeries
The latest update for #Last9 includes "#ApacheSpark #Monitoring: Spark UI, Metrics and Alerts" and "Multi-#Cloud Monitoring: How to Watch #AWS, #Azure and #GCP Together".
#Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
FreDF is a new method that improves time series forecasting by addressing label autocorrelation through frequency-domain learning rather than the direct forecast paradigm, reducing estimation bias and outperforming existing…
#AIresearch #timeseries #machinelearning
https://arxiv.org/abs/2402.02399
New arXiv benchmark Dr-CiK tests whether deep research agents can find, filter, and distill forecasting-relevant context from document corpora rather than receiving it pre-selected. Results show high-quality context…
#OpenSourceAI #DeepResearch #TimeSeries
https://arxiv.org/abs/2605.27904
The latest update for #VictoriaMetrics includes "The Data Race That Wasn't a Bug (and the One That Was)" and "The Year-2 Price Cliff: What Your #Observability Stack Really Costs Over 3 Years".
#DevOps #TimeSeries #OpenSource https://opsmtrs.com/3Lk7JnI
The latest update for #Last9 includes "#MultiCloud #Monitoring: How to Watch #AWS, #Azure and #GCP Together" and "NVIDIA DCGM Exporter: Setup and GPU Metrics Guide".
#Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
IBM's new Granite Time Series PatchTST-FM-r2 model offers high-performance zero-shot forecasting with commercial-friendly open licensing. 📈💻 #IBM #TimeSeries #Forecasting
EvoCast is a fully autonomous research-agent system for iterating on deep time-series forecasting architectures, using executed mechanism ablations and a cognition-authority separation to guide evidence-based design choices.
#AI #AutoML #TimeSeries #ArXiv
https://arxiv.org/abs/2610.04517
New arXiv work systematically studies how deep sequence models like RNNs and Transformers can be used in conformal prediction for time series, aiming to deliver reliable uncertainty…
#ConformalPrediction #TimeSeries #DeepLearning #UncertaintyQuantification
https://arxiv.org/abs/2610.02357
The latest update for #Last9 includes "NVIDIA DCGM Exporter: Setup and GPU Metrics Guide" and "Error Budgets: How to Calculate and Alert on Burn Rate".
#Monitoring #Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
The latest update for #Last9 includes "Error Budgets: How to Calculate and Alert on Burn Rate" and "Best #Observability Tools in 2026: 8 Platforms Compared".
#Monitoring #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
The latest update for #Last9 includes "Best #Observability Tools in 2026: 8 Platforms Compared" and "#GrafanaCloud Pricing Explained (2026): What Teams Pay".
#Monitoring #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
The latest update for #VictoriaMetrics includes "VictoriaTraces in VictoriaMetrics #Cloud: Complete #Observability is Here" and "How #Linux readahead works, and the two ways to change it".
#DevOps #TimeSeries #OpenSource https://opsmtrs.com/3Lk7JnI
The latest update for #VictoriaMetrics includes "How #Linux readahead works, and the two ways to change it" and "The most expensive half-hour of an incident.".
#DevOps #TimeSeries #OpenSource https://opsmtrs.com/3Lk7JnI
🎉 Fariza Rashid, Van Duc Le, Rahat Masood, Gustavo Batista, Aruna Seneviratne, and Suranga Seneviratne's paper "ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation" was accepted at #NeurIPS2026!#timeseries #USyd
🔗 NeurIPS: neurips.cc/Conferences/...
EXAONE Demand 1.0 introduces a time series foundation model built on a demand-specific corpus of 11.3M series and 48.4B observations, using low-rank adapters per demand class. Open source AI for forecasting gets…
#EXAONE #TimeSeries #DemandForecasting #OpenSourceAI
https://arxiv.org/abs/2609.30880
Now sitting at almost 900 stars proving simpler models crush the hype on accuracy, speed & sanity.
Stop forcing giant models on everything.
Star it. Share it. Wake the field up 👇
The latest update for #Last9 includes "#AI Agent #Observability: What to Trace and What It Catches" and "#SRE #Automation Tools: What to Automate and Which Tools Help".
#Monitoring #TimeSeries #DevOps https://opsmtrs.com/41EhXHh