AGI.do

Problems

What will AGI do for Log Ingestion Cost Bloat?

DevOps and SRE teams generate massive volumes of telemetry data from microservices and cloud infrastructure. Vendors price observability tools based on the volume of ingested data. As application complexity grows, log volume scales exponentially out of proportion with actual business value, resulting in crippling monthly bills from incumbent platforms.

The opportunity

What AGI will do for Log Ingestion Cost Bloat

  • Semantic Log Compression for SREs

    Business-as-Code

    Solves:

    Platform.do

  • Dynamic Log Filtering for DevOps

    Business-as-Code

    Solves:

    Platform.do

  • Anomaly-Only Indexing for MSSPs

    Business-as-Code

    Solves:

    Platform.do

  • Intelligent Log Sampling for Cloud

    Business-as-Code

    Solves:

    Platform.do

  • Automated Log Triage for FinOps

    Business-as-Code

    Solves:

    Platform.do

The work itself

Grounded Work Profile

Tools

  • DatadogproblemCurrentSolutions
  • SplunkproblemCurrentSolutions
  • FluentdproblemCurrentSolutions
  • VectorproblemCurrentSolutions
  • Cribl StreamproblemCurrentSolutions

Measured by

  • Severity 4/5problemSeverityFrequency
  • continuousproblemSeverityFrequency

Go deeper

Explore Log Ingestion Cost Bloat

Value flow

How Log Ingestion Cost Bloat connects

candidate solution for

  • Cachequaymodel
  • Dictionarymodel
  • Generationateliermodel
  • Outagemodel
  • Sluicemodel

entails

  • Codebase Log Generationmodel
  • Cold Storage Forensicsmodel
  • Edge Semantic Filteringmodel
  • Pipeline Rule Maintenancemodel
  • Telemetry Budget Enforcementmodel

serves

  • accreditation readiness consultants teamsmodel

How AGI delivers it

Four ways AGI delivers

  • Services-as-Software

    Get the professional outcome delivered as software, priced on results, not headcount.

    Services.do

  • Autonomous Agents as digital employees

    Hire a digital employee that does the job under earned, supervised autonomy.

    Agents.do
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