Top Tweets for #LoGS
Not your keys, not your crypto.
With BonfireStellar Wallet, you stay in control while enjoying a fast, secure, and seamless experience across the Stellar ecosystem. Built for those who value simplicity without compromising security.
Take ownership. Explore more. 🚀
#LOGS #Stellar #XLM #Web3 #Crypto #SelfCustody
The next challenge isn't creating tokenized assets, it's giving users secure self custody, protected payments, and automation.
That's exactly where BonfireStellar is focused.
#RWA #Tokenization #Stellar #XLM #Blockchain #AgentPay #Fintech #LOGS
Create Alarms From Logs #logs #telemetry #observability #devops #cloud #aws #cloudwatch #sre #alerts This is a clip from our recent Ship It Weekly Podcast episode. Visit link in bio to listen to the full episode!
Logs Are Now Instructions #logs #cloud #platformengineering #observability #telemetry #devops #sre This is a clip from our recent Ship It Weekly Podcast episode. Visit link in bio to listen to the full episode!
07-13-2026 #Hacker #Message #left in my #WebServer #Logs #yesterday
12 hits in and the autoblocker blocked them. less than a minute later from the same IP range - OMG!
#ComputerGarageLLC https://t.co/ocNeso53mT
Try #VictoriaLogs in your large-scale #Kubernetes cluster!
https://t.co/GffAlDLPIH
Join us, the @WeAreDevs , AI Builders & Tech Leaders.
Visit our booth 2_08-4 (Hall 2) until tomorrow, and learn more about #monitoring, #logs, #traces, and #metrics.
Query performance: count the number of logs from the given container (across 3.8 billion #logs)
🔎 Query: _time:3y kubernetes.container_name:=grafana | count()
✅ Query result: ~9.6 millions matching logs
⚡ Duration: 700ms
❓ Why so fast?
🏷️ Because #kubernetes.container_name field belongs to log stream fields
🔒 This field is constant per each log stream
📑 Constant field values are stored in block headers
📦 3 millions of block headers containing 1.6GB of data are read during the query
Want to learn how to manage logs efficiently at scale?
📢 Catch our Co-Founder, @valyala, at @wearedevs World Congress Berlin!
🎤 Strategies for Efficient #LogManagement in Large-Scale #Kubernetes Clusters
📍 Stage 8
Query performance: count the number of logs with rarely seen word across 3.8 billions of #logs (aka “needle in the haystack” search)
🔎 Query: _time:3y foobar | count()
✅ Query result: 417 matching logs
⚡ Duration: 1.4s
❓ How does it scan 5.5TB of logs in 1.4 seconds at 5.5TB / 1.4s = 3.9TB/s?
🌸 It reads only bloom filters for the log message field (_msg) (5.4GB)
💾 5.4GB / 120MB/s = 45 seconds needed for reading the bloom filters from disk
🧠 The bloom filters (5.4GB) fit available RAM (32GiB), so they are cached in OS page cache on the first query
🚀 Subsequent queries read bloom filters from OS page cache (RAM) in 1.4s
Want to learn how to manage logs efficiently at scale?
📢 Catch our Co-Founder, @valyala, at @wearedevs World Congress Berlin!
🎤 Strategies for Efficient #LogManagement in Large-Scale #Kubernetes Clusters
📍 Stage 8
#VictoriaLogs: real production numbers
📅 #Logs from staging Kubernetes cluster for the last 2.5 years
🖥️ Single-node VictoriaLogs pod:
🧠 32GiB RAM
⚙️ 8 vCPU
💾 1TB HDD-based disk at GCP (120MB/s bandwidth, 750 IOPS)
📝 Logs stored (vl_storage_rows): 3.8 billions
📦 Size of logs (vl_uncompressed_data_size_bytes): 5.5TB
💽 Disk space usage (vl_data_size_bytes): 67GB
🗜️ Compression ratio: 5.5TB / 67GB = 82x
📊 RAM usage (process_resident_memory_anon_bytes): 600MB
Want to learn how to manage logs efficiently at scale?
📢 Catch our Co-Founder, @valyala, at @wearedevs World Congress Berlin!
🎤 Strategies for Efficient #LogManagement in Large-Scale #Kubernetes Clusters
📍 Stage 8
What is #VictoriaLogs?
🪵 Open-source database for #logs
☸️ Supports collecting Kubernetes logs out of the box with victoria-logs-collector Helm chart
⚡ The VictoriaLogs collector (vlagent) is the most efficient for Kubernetes!
✅ Works optimally with default configs in any environment
🧩 Schemaless
📦 Can deal with petabytes of logs in single-node setup
🌐 Can deal with hundreds of petabytes of logs in cluster setup
📈 Easy to scale from single-node setup to cluster setup with the growing number of storage nodes
🚫 Doesn’t need object storage
💾 Stores data on persistent volumes
⚙️ Optimized for both HDD-based and SSD-based persistent volumes
⚡ Free from high latencies of read operations at object storage - much faster queries over big volumes of logs
☁️ Easy to backup to object storage with per-day granularity
Want to learn how to manage logs efficiently at scale?
📢 Catch our Co-Founder, @valyala, at @wearedevs World Congress Berlin!
🎤 Strategies for Efficient #LogManagement in Large-Scale #Kubernetes Clusters
📍 Stage 8
Also, you can check more information in this blog post 👇
https://t.co/b4znjIjqyn
How to efficiently store and query 4.7PB of #logs?
🪵 Loki?
✅ Yes
If you are ready to spend a lot of time on configuration, tuning and troubleshooting
🏛️ ClickHouse?
✅ Yes
If you know how to create the most optimal database schema for the stored logs and for the expected queries over these logs
🖥️ ClickHouse-based on-prem solutions (ClickStack, SigNoz, etc.)?
✅ Yes
If you are ready to spend time on scaling and troubleshooting of the ClickHouse cluster (especially Zookeeper / ClickHouse Keeper)
🚀 #VictoriaLogs?
✅ Yes
If you are ready to enjoy the simplicity of its configuration, operation, and troubleshooting :)
Want to learn how to manage logs efficiently at scale?
📢 Catch our Co-Founder, @valyala, at @wearedevs World Congress Berlin!
🎤 Strategies for Efficient #LogManagement in Large-Scale #Kubernetes Clusters
📍 Stage 8
Want to learn how to manage logs efficiently at scale?
📢 Catch our Co-Founder, @valyala, at @wearedevs World Congress Berlin!
🎤 Strategies for Efficient #LogManagement in Large-Scale #Kubernetes Clusters
📍 Stage 8
How to efficiently store and query 4.7PB of #logs?
Loki?
Yes
If you are ready to spend a lot of time on configuration, tuning, and troubleshooting
We’re all set for @WeAreDevs World Congress Berlin, kicking off today! 🚀
Ready to level up your #Observability and #Monitoring game? 💪 Meet the #VictoriaMetrics team, and discover how our #OpenSource time series & #logs #databases deliver speed, scale, and efficiency.
📍 Messe Berlin – South Entrance
Don’t miss today’s talk:
🎤 Strategies for Efficient #Log Management in Large-Scale #Kubernetes Clusters
@valyala, VictoriaMetrics Co-Founder
🗓️ July 9 • 3:30 PM CET • Stage 8
Discover how #metrics, #traces, and #logs work together to deliver meaningful #observability insights, enabling better systems and more confident decision-making.
See you there! 🌟
https://t.co/zDZLZ0b6B9
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