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VictoriaMetrics: Simple & Reliable Monitoring for Everyone on VictoriaMetrics

Operator now has Long-Term Support (LTS) version Multi-tiered Observability: A Practical Way to Handle Diverse Workloads VictoriaMetrics April 2026 Ecosystem Updates Not All Telemetry Requires Premium Pricing VictoriaMetrics at KubeCon Amsterdam: Community Highlights What's new in VictoriaMetrics Anomaly Detection (Q1 2026) What's New in VictoriaMetrics Cloud Q1 2026? Logs, MCP Server, Better Alerting, and... a Secret Project VictoriaMetrics at KubeCon: Optimizing Tail Sampling in OpenTelemetry with Retroactive Sampling VictoriaMetrics March 2026 Ecosystem Updates Observability Lessons From OpenAI Benchmarking Kubernetes Log Collectors: vlagent, Vector, Fluent Bit, OpenTelemetry Collector, and more VictoriaMetrics February 2026 Ecosystem Updates VictoriaMetrics at FOSDEM, Cloud Native Days France, and CfgMgmtCamp Ghent VictoriaLogs in VictoriaMetrics Cloud: Fast, Cost-Effective Log Management is Here What’s new in VictoriaMetrics Anomaly Detection (2025) VictoriaMetrics January 2026 Ecosystem Updates VictoriaLogs Basics: What You Need to Know, with Examples & Visuals What's New in VictoriaMetrics Cloud Q4 2025? New tiers, more deployment options, IaC and alerting rules. Vibe coding tools observability with VictoriaMetrics Stack and OpenTelemetry How a US Software Provider Improved Traffic Alerting with VictoriaMetrics Anomaly Detection VictoriaMetrics 2025 Developer Experience: A Year in Review Spotify’s performance & control across large monitoring environments with VictoriaMetrics VictoriaMetrics Achieves Red Hat OpenShift Operator Certification Our latest updates across the VictoriaMetrics Observability ecosystem New Capacity Tiers in VictoriaMetrics Cloud Announcing 1B+ Downloads & Product Development With Logs, Traces, Metrics AI Agents Observability with OpenTelemetry and the VictoriaMetrics Stack Discarding gRPC-Go: The Story Behind OTLP/gRPC Support in VictoriaTraces What's New in VictoriaMetrics Cloud Q3 2025? From new region in Asia to proactive alerts How DreamHost Slashed Memory Usage by 80% and Scaled to 76 Million Time Series Upcoming Conferences & Meetups: Where to Meet Our Team VictoriaMetrics Long-Term Support (LTS): H2 2025 Update Creating a Sustainable Open Source Business Model - Introduction Full-Stack Observability with VictoriaMetrics in the OTel Demo Alerting Best Practices vmanomaly Deep Dive: Smarter Alerting with AI (Tech Talk Companion) VictoriaLogs Practical Ingestion Guide for Message, Time and Streams Monotonic and Wall Clock Time in the Go time package Hello Singapore! VictoriaMetrics Cloud Expands to Asia Pacific MCP Server Integration & Much More: What's New in VictoriaMetrics Cloud Q2 2025 FIPS 140-3 Compatible Builds for VictoriaMetrics Enterprise Components VictoriaLogs Unleashed: Cluster Version Now Available for Exceptional, Linear Scaling Integrations made easy with VictoriaMetrics Cloud Developer's Note: Research on Distributed Tracing, Comparing With Tempo and ClickHouse vmagent: Key Features Explained in Under 15 Minutes Go synctest: Solving Flaky Tests vmalert: Maximize Your Monitoring (Tech Talk Companion) Celebrating 14K Stars on GitHub: Spring Update vmalert: Maximize Your Monitoring VictoriaMetrics Connects with the Open Source Community at LinuxFest Northwest 2025 Graceful Shutdown in Go: Practical Patterns VictoriaLogs: Gaps, Gains & Growth Prometheus Monitoring: Functions, Subqueries, Operators, and Modifiers VictoriaMetrics Cloud: What's New in Q1 2025? Don’t default to microservices: You’ll thank us later! Container CPU Requests & Limits Explained with GOMAXPROCS Tuning gRPC in Go: Streaming RPCs, Interceptors, and Metadata Prometheus Alerting 101: Rules, Recording Rules, and Alertmanager Heading to London: Meet Our Team at KubeCon Europe 2025 Inside vmselect: The Query Processing Engine of VictoriaMetrics Meet Our Team at Scale 22x Practical Protobuf - From Basic to Best Practices VictoriaLogs Status Update: Heading Towards the Cluster Version 24th of February 2025 Statement: VictoriaMetrics Stands with Ukraine! Prometheus Metrics Explained: Counters, Gauges, Histograms & Summaries Prometheus Monitoring: Instant Queries and Range Queries Explained 300%+ Growth in 2024: Join Our Team in 2025! FOSDEM 2025 recap How Protobuf Works—The Art of Data Encoding OpenTelemetry, Prometheus, and More: Which Is Better for Metrics Collection and Propagation? 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From Chaos to Clarity with VictoriaLogs
Marc Sherwood · 2025-03-25 · via VictoriaMetrics: Simple & Reliable Monitoring for Everyone on VictoriaMetrics

From Chaos to Clarity with VictoriaLogs

Join the live stream

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When: Thursday, March 27, 2025, at 10:00am PDT / 6pm GMT / 7pm CET

Link: https://www.youtube.com/watch?v=KbQcAoSZE

From Chaos to Control: The VictoriaLogs Approach

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Log data is a treasure trove of information, but only if you can effectively manage and analyze it. Traditional logging solutions often struggle with:

  • Volume: The sheer volume of logs generated by modern applications can be overwhelming, and expensive.
  • Velocity: Logs are generated constantly, requiring real-time ingestion and processing.
  • Variety: Logs come in various formats and from diverse sources, making standardization a challenge.
  • Veracity: Ensuring the accuracy and reliability of log data is crucial for making informed decisions.

VictoriaLogs is designed to address these challenges head-on, offering an open source, powerful, scalable, and cost-effective solution for log management.

What We Cover (or, What You’ll Learn)

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This session will cover the following key areas:

  1. Introduction to VictoriaLogs
    • Brief overview of VictoriaLogs and its core features.
    • Key benefits of using VictoriaLogs, including its performance, scalability, and cost-effectiveness compared to other solutions.
    • How VictoriaLogs fits into a modern observability stack.
  2. Efficient Ingestion and Optimization
    • Step-by-step guidance on ingesting logs from various sources into VictoriaLogs. This might include:
      • Using popular agents like Vector, Telegraf, and Opentelemetry collector.
      • Direct ingestion via API.
    • Techniques for optimizing your log pipelines, such as:
      • Filtering irrelevant logs at the source to reduce volume.
      • Parsing and structuring logs for efficient querying.
      • Using Recording rules for summarizing logs as metrics
      • Enriching logs to add app owners to log data
  3. Best Practices for Streamlining Your Logging Processes
    • Establishing clear logging standards across your organization.
    • Implementing a centralized logging strategy.
    • Choosing the right log levels (DEBUG, INFO, WARN, ERROR, FATAL) for different situations.
    • Using structured logging formats (like JSON) for easier parsing and analysis.
    • Incorporating contextual information (e.g., user IDs, transaction IDs) into your logs.
  4. Enhancing Performance and Scalability
    • Understanding VictoriaLogs’ architecture and how it scales.
    • Tuning VictoriaLogs for optimal performance based on your specific needs.
    • Monitoring the health and performance of your VictoriaLogs deployment.
  5. Real-World Examples
    • Examples could include:
      • Troubleshooting application errors using log data.
      • Identifying performance bottlenecks.
      • Detecting security threats.
      • Monitoring user behavior.
      • Improving resource utilization.
  6. Q&A with the VictoriaLogs Team

Key Takeaways

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  • VictoriaLogs provides a powerful and efficient solution for managing large volumes of log data.
  • Optimizing your log pipelines is crucial for gaining valuable insights and reducing costs.
  • Best practices, such as structured logging and filtering, can significantly improve your logging efficiency.
  • VictoriaLogs is designed for scalability and performance, allowing you to handle growing log volumes with ease.

Resources for Further Learning

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