Calyptia Core Agent
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  • Calyptia Core Agent Documentation
  • Comparison to Fluent Bit
  • Performance and Benchmarking
  • Concepts
    • Key Concepts
    • Buffering
    • Data Pipeline
      • Input
      • Parser
      • Filter
      • Buffer
      • Router
      • Output
  • Installation
    • Getting Started with Calyptia Core Agent
    • Supported Platforms
    • Linux Packages
      • Amazon Linux
      • Redhat / CentOS
      • Debian
      • Ubuntu
    • Docker
    • Kubernetes
    • macOS
    • Windows
  • Administration
    • Configuring Calyptia Core Agent
      • Classic mode
        • Format and Schema
        • Configuration File
        • Variables
        • Commands
        • Upstream Servers
        • Record Accessor
      • YAML Configuration File
      • Unit Sizes
      • Multiline Parsing
    • Transport Security
    • Buffering & Storage
    • Backpressure
    • Scheduling and Retries
    • Networking
    • Memory Management
    • Monitoring
    • HTTP Proxy
    • Hot Reload
    • Troubleshooting
  • Local Testing
    • Validating your Data and Structure
    • Running a Logging Pipeline Locally
  • Data Pipeline
    • Inputs
      • Collectd
      • CPU Log Based Metrics
      • Disk I/O Log Based Metrics
      • Docker Log Based Metrics
      • Docker Events
      • Dummy
      • Elasticsearch
      • Exec
      • Exec Wasi
      • Fluent Bit Metrics
      • Forward
      • Head
      • HTTP
      • Kafka
      • Health
      • Kernel Logs
      • Memory Metrics
      • MQTT
      • Network I/O Log Based Metrics
      • NGINX Exporter Metrics
      • Node Exporter Metrics
      • Podman Metrics
      • Process Log Based Metrics
      • Prometheus Scrape Metrics
      • Random
      • Serial Interface
      • Standard Input
      • StatsD
      • Syslog
      • Systemd
      • Tail
      • TCP
      • Thermal
      • OpenTelemetry
      • Windows Event Log
      • Windows Event Log (winevtlog)
      • Windows Exporter Metrics
    • Parsers
      • Configuring Parser
      • JSON
      • Regular Expression
      • LTSV
      • Logfmt
      • Decoders
    • Filters
      • AWS Metadata
      • CheckList
      • ECS Metadata
      • Expect
      • GeoIP2 Filter
      • Grep
      • Kubernetes
      • Log to Metrics
      • Lua
      • Parser
      • Record Modifier
      • Modify
      • Multiline
      • Nest
      • Nightfall
      • Rewrite Tag
      • Standard Output
      • Throttle
      • Tensorflow
      • Wasm
    • Outputs
      • Amazon CloudWatch
      • Amazon Kinesis Data Firehose
      • Amazon Kinesis Data Streams
      • Amazon S3
      • Azure Blob
      • Azure Data Explorer
      • Azure Log Analytics
      • Counter
      • Datadog
      • Elasticsearch
      • File
      • FlowCounter
      • Forward
      • GELF
      • Google Cloud BigQuery
      • HTTP
      • InfluxDB
      • Kafka
      • Kafka REST Proxy
      • LogDNA
      • Loki
      • NATS
      • New Relic
      • NULL
      • Observe
      • OpenSearch
      • OpenTelemetry
      • PostgreSQL
      • Prometheus Exporter
      • Prometheus Remote Write
      • SkyWalking
      • Slack
      • Splunk
      • Stackdriver
      • Standard Output
      • Syslog
      • TCP & TLS
      • Treasure Data
      • Vivo Exporter
      • WebSocket
  • Calyptia Core Agent for Developers
    • Golang Output Plugins
    • WASM Filter Plugins
    • WASM Input Plugins
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  1. Concepts

Buffering

Performance and data safety

PreviousKey ConceptsNextData Pipeline

Last updated 11 months ago

When Calyptia Core Agent processes data, it uses the system memory (heap) as a primary and temporary place to store the record logs before they get delivered, in this private memory area the records are processed.

Buffering refers to the ability to store the records somewhere, and while they are processed and delivered, still be able to store more. Buffering in memory is the fastest mechanism, but there are certain scenarios where it requires special strategies to deal with , data safety or reduce memory consumption by the service in constrained environments.

Network failures or latency on third party service is pretty common, and on scenarios where we cannot deliver data fast enough as we receive new data to process, we likely will face backpressure.

Our buffering strategies are designed to solve problems associated with backpressure and general delivery failures.

Calyptia Core Agent as buffering strategies, offers a primary buffering mechanism in memory and an optional secondary one using the file system. With this hybrid solution you can accommodate any use case safely and keep a high performance while processing your data.

Both mechanisms are not mutually exclusive and when the data is ready to be processed or delivered it will always be in memory, while other data in the queue might be in the file system until is ready to be processed and moved up to memory.

To learn more about the buffering configuration in Calyptia Core Agent, go to the section.

backpressure
Buffering & Storage