The Enterprise
OpenTelemetry Experts

We help enterprises design, build, and manage vendor-neutral observability — cutting costs, eliminating blind spots, and ending lock-in.

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Sound Familiar?

Most enterprises hit the same walls when scaling observability. You're not alone.

Spiraling Costs

Your observability bill grows faster than your infrastructure. Telemetry volume doubles, budgets don't.

Blind Spots at Scale

As your systems grow, telemetry gaps widen. Critical incidents go undetected until customers notice.

Vendor Lock-In

Proprietary agents and formats trap you. Switching vendors means ripping out infrastructure.

Case Study

Real Results for Real Enterprises

OTel Collector Fleet dashboard showing migration progress, throughput, and collector health
Retail

Cutting Observability Costs by 40% for a Fortune 100 Retailer

A Fortune 100 retailer's observability costs were growing 3x faster than their infrastructure. Multiple vendor agents created duplicate telemetry, and engineering teams had no visibility into what was driving the bill.

  • 40% reduction in annual observability spend
  • Consolidated from 4 vendor agents to 1 OTEL pipeline
  • Real-time cost attribution per team and service
  • Zero gaps in critical alerting coverage
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40%
Cost Reduction

Trusted by enterprises worldwide

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Where Does Your Observability Stand?

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How We Help

From architecture to ongoing support, we partner with you at every stage of your OpenTelemetry journey.

Architecture & Design

We design scalable OpenTelemetry architectures that grow with your business. From initial assessment to implementation planning, we map your current state, identify gaps, and design the optimal path forward — integrating with your existing tools and cloud infrastructure.

Custom Development

When off-the-shelf solutions don't fit, we build custom. Our team creates bespoke OpenTelemetry collectors, processors, and exporters tailored to your unique data sources — plus custom instrumentation and data enrichment for proprietary systems.

Managed Services

Let us run your observability infrastructure so you can focus on your core business. We handle fully hosted OTEL collectors, automatic scaling, continuous optimization, and 24/7 operational monitoring — while you retain full visibility and control over your telemetry data.

Integration

Connect OpenTelemetry to ServiceNow, Grafana, Oracle, Elastic, Datadog, Dynatrace, Splunk, and more — with custom dashboards and alerting workflows.

Support

SLA-backed incident response, proactive health checks, and regular maintenance to keep your observability infrastructure running smoothly.

Training & Enablement

Hands-on workshops, custom documentation, and train-the-trainer programs that build long-term self-sufficiency.

Migration

Seamless migration from Splunk, Datadog, or legacy monitoring to OpenTelemetry and modern backends — with zero observability gaps during transition.

Why Integration Plumbers?

Enterprise-grade OpenTelemetry consulting, backed by 20+ custom solutions delivered.

Rapid Implementation

Get up and running fast with our proven methodologies and pre-built components.

Customer-First

Your success is our priority. We tailor every solution to your unique needs.

Continuous Innovation

We stay ahead of the curve, bringing you the latest in observability best practices.

Expert Team

20+ enterprise plugins delivered. Deep experience with Oracle, VMware, Dell, and more.

Blog

Latest Insights

Technical deep-dives, practical guides, and lessons learned from real-world observability projects.

OpenTelemetry Doesn't Need More Heroes. It Needs an Institution.

OpenTelemetry Doesn't Need More Heroes. It Needs an Institution.

Mat Duggan's August 2026 spreadsheet found that 86% of merges in the OpenTelemetry C++ repository come from a single person, and that the PHP repository has merged 181 pull requests through exactly two people. That isn't a contributor shortage, it's a labor-model problem: the project is underwriting an institutional commitment with individual effort. Here are four fixes, each one already working in another open-source project: a pooled maintainer fund, real apprenticeships instead of contribution drives, support levels that describe capacity honestly, and maintainer-health reviews with a defined response.

Was That Query Always This Slow? The Query-History Gap in MySQL, SQL Server, and DB2

Was That Query Always This Slow? The Query-History Gap in MySQL, SQL Server, and DB2

Your database can tell you which queries are slow right now. It usually can't tell you which ones got slower, because the per-query numbers it keeps are a running total with no time axis: reset on restart, or evicted as a cache fills. Here's the query-history gap in MySQL, Microsoft SQL Server, and DB2, why SQL Server is the exception that proves the point, and why the trend belongs in the Oracle Enterprise Manager repository, including the unglamorous work of making the subtraction honest.

Logs Without the Regret, Part 2: Building the Alloy and Loki Pipeline

Logs Without the Regret, Part 2: Building the Alloy and Loki Pipeline

Part 1 made the case that log cost is set at write time by what you index. This is the hands-on half. A production-grade Alloy and Loki pipeline comes down to four decisions: what gets in, what gets rewritten, what gets indexed, and what happens when the backend is unavailable. Here's the three-component minimum that proves the transport works, the OTTL processors that filter and redact in flight, how to set label policy server-side in otlp_config, and the four signals worth alerting on once it is live.

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