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Fluentd Consulting &
Enterprise Support Services

Fluentd and Fluent Bit consulting for Kubernetes log pipelines, from observability specialists with teams in India and San Francisco.

5 days
Time to first deployment
3+ years
Average partnership
98%
Client retention

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Trusted by engineering teams at

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Fluentd Consulting & Implementation Services

From setup to migration to production support.

Fluentd & Fluent Bit Implementation

We deploy the full logging layer from scratch - Fluent Bit DaemonSets at the edge, Fluentd aggregators, parsers for your application formats, buffering configuration, and output routing. A production log pipeline in weeks, not a quarter.

Migration from Commercial Agents

Moving off Splunk Universal Forwarder, Datadog Agent, New Relic Infrastructure, or Logstash. We handle format mapping, parser parity, parallel operation during cutover, and validation that no events are lost in the switch.

Production Tuning & Reliability

Buffer sizing, backpressure handling, multi-destination routing, high-cardinality log filtering, and failure-mode design. We fix pipelines that drop data under load, spike memory, or flood downstream systems during incident traffic.

Fluentd Commercial Support

Production incidents don't wait. We provide extended business-hours support for teams running Fluentd and Fluent Bit in production, incident response within SLA, managed upgrades, plugin security patching, and capacity planning.

Who We Work With

Teams Running Kubernetes at Scale

Engineering teams that need reliable log collection across clusters, namespaces, and environments without per-GB commercial pricing breaking their budget.

Teams Migrating from Commercial Tools

Organizations moving off Splunk forwarders, Datadog Agent, or New Relic Infrastructure to open-source logging, often alongside a broader observability overhaul.

Teams Needing Production Support

Companies running Fluentd or Fluent Bit in production that need expert help with reliability, upgrades, and incident response for the logging layer.

With engineering leadership across India and a presence in San Francisco, we support teams operating log pipelines at global scale.

How Fluentd Consulting Works

A predictable process built for high-quality delivery

01

Assessment

We audit your current logging setup, agents in play, parsing rules, output destinations, failure modes, and cost. You get a written report with specific risk areas and recommendations, whether you hire us or not.

02

Architecture Design

Pipeline topology, Fluent Bit vs Fluentd placement, parser strategy, buffer configuration, output routing, retention policy, and failover design. Documented so your team can review and challenge it before we build.

03

Implementation

Deploy Fluent Bit at the edge, Fluentd aggregators, parsers, filters, and outputs to Loki, Elasticsearch, S3, or wherever your logs need to land. We work in your infrastructure, with your team, using your CI/CD pipelines.

04

Knowledge Transfer

Runbooks, parser documentation, buffer tuning guides, and on-call playbooks for common failure modes. The goal: your team operates the pipeline independently after we leave.

05

Ongoing Support (optional)

We stay on for production support, version upgrades, plugin security patching, capacity planning, and scaling guidance. Engagement scope based on your needs.

Why Procedure for Fluentd Consulting Services?

We bring senior engineering expertise and production-tested patterns to every engagement. No junior developers learning on your project.

Both Fluentd and Fluent Bit in production.: The aggregator and the edge agent, configured and operated together, not treated as separate products.

Kubernetes-native from day one.: Every engagement starts from a Kubernetes context, the platform where most Fluentd deployments actually run.

Honest scoping.: If Vector or the OpenTelemetry Collector is the better fit for your stack, we'll say that on the assessment call.

Migration experience.: We've moved log pipelines off Splunk forwarders, Datadog Agent, and Logstash, including parser parity and parallel cutover.

Part of a unified observability practice.: Logs, metrics, and traces from one team that operates the same stack every day.

No handoff to juniors.: The engineer on your assessment call is the engineer doing the work.

Technologies We Deploy & Support

CategoryTools
CoreFluentd (latest stable), Fluent Bit, Fluent Operator
Agent PatternFluent Bit DaemonSet at edge, Fluentd aggregator, ClusterInput/ClusterFilter/ClusterOutput CRDs
ParsersJSON, regex, multiline, Apache/Nginx, Kubernetes metadata, custom parsers
Filters & Enrichmentgrep, record_modifier, rewrite_tag_filter, Kubernetes metadata filter, GeoIP
Buffer StrategyFile-based buffers, retry and timeout tuning, backpressure handling, failover
Log DestinationsLoki, Elasticsearch, OpenSearch, Amazon S3, Google BigQuery, Kafka, Splunk HEC, Datadog
Observability StackPrometheus (pipeline metrics), Grafana (dashboards), OpenTelemetry Collector (traces bridge)
PlatformKubernetes, EKS, GKE, AKS, Helm, OpenShift
Alternatives We KnowVector, OpenTelemetry Collector, Logstash, Filebeat (when they're the better fit)

Use Cases

Real-world applications we help teams build and scale

01

Advisory Consulting

Architecture reviews, logging assessments, and strategic guidance on Fluentd vs Fluent Bit vs Vector decisions

02

Hands-On Implementation

Fluentd and Fluent Bit deployment, migration, and tuning work alongside your engineering team

03

Ongoing Production Support

Continuous pipeline optimization, incident response, upgrades, and scaling as your log volume grows

Why Choose Procedure for Fluentd Consulting Services

Outcomes from recent engagements

ReducedLogging costs by moving off per-GB commercial agents
ImprovedPipeline reliability with tuned buffers and backpressure handling
FasterIncident response with consistent log structure across services

Companies choose Procedure because:

Production Fluentd and Fluent Bit operations experience across Kubernetes environments
Both aggregator and edge agent expertise, not just one half of the pipeline
Honest assessments, we'll tell you if Vector or the OpenTelemetry Collector is a better fit
Knowledge transfer built into every engagement, so your team operates the pipeline without us

Testimonials

Trusted by Engineering Leaders

What started with one engineer nearly three years ago has grown into a team of five, each fully owning their deliverables. They've taken on critical core roles across teams. We're extremely pleased with the commitment and engagement they bring.
Shrivatsa Swadi
Shrivatsa Swadi
Director of Engineering · Setu
Setu

Why Quality Matters

Poor engineering costs you

Silent Data Loss

Misconfigured buffers drop events during traffic spikes, exactly when logs matter most

Runaway Cost

Noisy logs shipped to per-GB backends drive observability spend up quarter over quarter

Parser Drift

Regex parsers that break on every new log format leave gaps your team discovers during incidents

Knowledge Silos

Pipeline configurations that only one engineer understands create on-call risk

Premium development is an investment in

Reliable log delivery under load
Cost-efficient logging infrastructure
Structured, queryable logs across services
Team-wide pipeline operability

Not Sure If Your Log Pipeline Is Production-Ready?

We'll audit your current logging setup and tell you honestly where the risk is, even if the answer is "your pipeline is fine, don't touch it."

Schedule a Call

No sales pitch. Just an honest conversation.

How Clients Work With Us

Three ways to engage on Fluentd and Fluent Bit work, from scoped assessments to embedded engineers.

Model 01

Discovery & Architecture Review

A focused engagement to audit your current logging setup, identify reliability and cost risks, and produce a recommendations document covering architecture, config changes, and a rollout plan. A good fit for teams evaluating whether to invest in Fluentd, or trying to figure out why their current pipeline is misbehaving.

Best for

2-week scope. Deliverable: written report and review call.

Model 02

Log Pipeline Pod

A small team (engineer plus tech lead) owning a defined outcome: Kubernetes logging set up from scratch, migration off Splunk forwarders or Logstash, or a production tuning engagement with clear exit criteria. Best for scoped, milestone-based work with a real end state.

Best for

Minimum 6 weeks. Project-based with weekly checkpoints.

Model 03

Dedicated Fluentd Engineer

A senior observability engineer embedded with your team. Participates in your standups, works in your tools, reports to your engineering leadership. A good fit for teams with ongoing log pipeline work across multiple clusters or business units.

Best for

Minimum 3 months. Monthly engagement.

Ready to Discuss Your
Fluentd Consulting Services Project?

Talk directly with engineers, not sales. We'll audit your current logging setup and give honest next steps - even if the answer is 'your pipeline is fine, don't touch it.'

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Fluentd Consulting FAQ

Fluentd consulting provides expert guidance on designing, operating, and scaling Fluentd and Fluent Bit log pipelines in production. You'd need it when your team lacks deep logging experience, when you're migrating off a commercial agent like Splunk Universal Forwarder or Datadog Agent, or when your existing pipeline is dropping data, spiking costs, or failing under incident load. Most engagements combine architecture review, implementation, and knowledge transfer so your team can operate the pipeline confidently after we leave.