Vendor-agnostic observability architects

The right telemetry platform for your environment.Recommended, implemented, migrated fast.

We review your environment, recommend the right platform, implement it, and run migrations in weeks, not quarters. Your telemetry lands clean, normalized, and tiered by value. High-signal data where it belongs, the rest in cheap storage, so your bill stays under control and your data is ready for AI.

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Sources

Network, Apps, Cloud

4.5 TB/day total

Pipeline Core

Routing & Enrichment

Vendor-Agnostic Pipeline

Destinations

SIEM, APM, Storage

73% to low-cost storage

“We do not sell you a platform. We look at your real environment, tell you what is actually right for it, then build it and migrate you fast.”
Zbigniew GajukCo-Founder and Chief Observability and Security Architect. 26+ years, Fortune 500 scale.

26+

Years of Fortune 500 observability and security architecture

Led by our Chief Architect

4

Telemetry platforms we are experts in, end to end

Splunk, Sentinel, Datadog, Cribl

2 weeks

30,000 endpoints migrated onto a new SIEM

Published: Yale New Haven Health

37%

Less log volume into Splunk on a recent program

Fortune 500 healthcare case study

The problem

The right answer is the right platform for your environment.

Serious buyers do not want to be sold a platform. They want an objective architect who looks at the real environment, surfaces the real challenges, and recommends what actually fits. That is the gap we exist to close.

You are told to pick a platform

Every vendor and reseller arrives with a product to sell. None of them start with your environment. The result is a tool chosen before anyone understood the problem it had to solve.

Telemetry sprawls and the bill climbs

A dozen agents, fragmented collection, and volume that grows every quarter. Useless logs crowd out the useful ones, and infrastructure starts costing more than it returns.

Every move locks you in deeper

Each new destination means re-onboarding every source. Migrations turn into 18-month rebuilds, so teams stay on the wrong platform because changing it feels impossible.

Four platforms we master

Experts across Splunk, Sentinel, Datadog, and Cribl.

We name each as expertise, never as a sales pitch. We recommend the one that fits your environment, implement it at config level, and never disparage the platform you already run.

Most common starting point

Splunk

Optimize it, or migrate it cleanly

The platform most teams already run, and the most common source of cost and volume pressure. We know it at config level.

  • Reduce what flows into the per-GB estate
  • Forwarders, inputs.conf, props and transforms, TAs, CIM
  • A clean parallel-run migration when it is time

Splunk is powerful and deeply customized. We make it cheaper to run, and when it is no longer the right fit for a workload, we move you off it without a big-bang cutover.

When it is the right fit

You have mature detections and SPL your team relies on. We keep that value and cut the cost of feeding it.

What we do with it

Put a vendor-neutral control layer in front, filter and route at the source, and keep full fidelity in cheap storage for replay.

Migration notes

When the right call is to leave, we run old and new in parallel and cut over by routing change, not a rebuild.

40-70%
Typical ingest reduction with a control layer in front
9%
Annual renewal uplift we help offset
Explore →
Cloud-native consolidation

Microsoft Sentinel

Design, implement, fast migration

The cloud-native SIEM many teams consolidate onto. We design it, normalize data to ASIM, and run fast migrations onto it.

  • Normalize data to ASIM
  • Control Log Analytics ingestion cost
  • Fast Splunk-to-Sentinel migration

Sentinel rewards a clean data model. We design the workspace, normalize sources to ASIM, govern what flows in, and move you there fast when you are consolidating.

When it is the right fit

You are consolidating onto Microsoft and want cloud-native detection without managing SIEM infrastructure.

What we do with it

Implement Sentinel, normalize to ASIM, and tier data so it does not consume the workspace budget.

Migration notes

We run a parallel migration so detections prove out on real production data before cutover.

2 weeks
30,000 endpoints migrated (published: Yale New Haven Health)
40%
SIEM spend cut on that program
Explore →
Observability and APM

Datadog

Govern cost, keep observability

The observability and APM platform engineers love. We govern what flows into it. We do not replace it.

  • Custom-metric and APM-trace cost control
  • Tier high-signal data into Datadog
  • Archive the rest to cheap storage

Engineers should keep the Datadog experience they love. We sit in front of it and make sure you pay for signal, not noise, getting full value from every GB you send it.

When it is the right fit

Your engineering teams live in Datadog dashboards and traces, and you want to protect that without runaway cost.

What we do with it

Govern custom metrics and APM traces, route only high-value telemetry in, and tier the rest to open-format storage.

We never replace it

Datadog keeps doing observability. We are the control layer in front, never a substitute for the platform.

30-52%
Custom metrics as a share of bill (industry benchmark)
1
Control layer governing what reaches it
Explore →
Telemetry control plane

Cribl

The control plane we implement

The telemetry control plane we are expert in, one of the four platforms we master. One pipeline, many destinations.

  • One pipeline, many destinations
  • Full fidelity to open-format storage
  • Migrations become a routing-rule change

When the right answer is a vendor-neutral pipeline that has to scale across many sources and destinations at once, Cribl is the engine we reach for. The architecture is the point, the platform is the means.

When it is the right fit

You want collection decoupled from destinations so changing a SIEM, APM, or lake never means re-onboarding sources.

What we do with it

Design routing, normalization, enrichment, and open-format storage, then build it in production and validate against real traffic.

Why it matters

Full fidelity in open formats turns the next migration into a routing change instead of another full project.

80+
Source and destination integrations from one pipeline
0.02
Credits per GB per month for open-format cold storage
Explore →

How we work

Assess, recommend, implement, then migrate fast.

One accountable team across the whole lifecycle. The architecture review is free, the recommendation is honest, and the migration runs in weeks because a vendor-neutral control layer sits in front of your stack.

1

Free hook

Assess

An architect reviews your real environment and surfaces the actual challenges, not a product demo.

  • Map how you ingest, your sources, and your patterns
  • Find where the waste and the volume pressure live
  • Free architecture review with the architect
2

Honest advice

Recommend

A platform-agnostic recommendation with honest pros and cons per option. Then you choose.

  • The right platform for your environment, not what we are paid to sell
  • Clear trade-offs across Splunk, Sentinel, Datadog, and Cribl
  • A blueprint for routing, normalization, and destinations
3

Production build

Implement

A production build at config level, not slideware. We design it and stand it up.

  • Vendor-neutral control layer in front of your stack
  • Clean, normalized data into your analytics platform
  • Full fidelity preserved in cheap open-format storage
4

In weeks, not quarters

Migrate

Fast migrations by parallel run and routing change. The next migration becomes a routing change.

  • Fork at the source, write to old and new in parallel
  • Prove the new platform on real production data, then cut over
  • Yale New Haven Health moved 30,000 endpoints in two weeks
Fast Migrations

The control layer

See where every byte goes, before it costs you.

A vendor-neutral control layer sits in front of your SIEMs and APMs. You collect once, then route, reduce, and tier every source on the way to its destination. We are a control layer, never a replacement for your SIEM.

  • Route by valueEvery event goes to the destination where it earns its cost. High-signal to your analytics platform, the rest to cheap storage.
  • Reduce before ingestFilter, aggregate, and suppress noise at the source so you pay for signal, not volume. Your number depends on your environment.
  • Replay from open storageFull fidelity lives in open formats like Parquet and OCSF, replay-ready for investigations and audits without analytics-tier pricing.
pipeline.logmetry.ioSample view

Pipeline routing

4.5 TB/day across 3 source groups

Network & Security2.0 TB/day in

Routing

  • SIEM & Security18%
  • Low-cost storage82%

Reduction

60-70% of firewall allow logs routed to cheap storage

Normalization and replay

Detections keep full coverage. Allow logs replay on demand for audits.

Illustrative sample. Your routing and numbers depend on your environment.

What we do

Across the whole telemetry lifecycle

From the free architecture review to ongoing optimization. Start with a migration, a cost problem, or a governance mandate. We meet you where the pressure is.

Insights

From the blog

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Technical

How Cribl Pipelines Move from the UI to Git: The Terraform Path to Pipeline-as-Code, AI-Assisted Maintenance, and DR You Can Actually Run

Most platform engineering teams went GitOps for everything in the 2020s. Observability tends to be the last UI-driven holdout, with pipeline configuration, parsers, detection rules, and routing logic still living inside vendor consoles with no diff history, no test suite, and no automated rollback. The Cribl Terraform provider plus Cribl's Git-backed worker groups close that gap. Here is how Cribl pipelines move from the UI to Git in production, why the Terraform provider is the load-bearing piece, how AI coding assistants become useful for pipeline maintenance once configuration is declarative, what disaster recovery looks like as a terraform apply instead of a manual rebuild, and the test layers that let detection engineering catch pipeline regressions before they reach production.

Read more

Start with a free architecture review.

An architect looks at your real environment, surfaces the challenges, and shows you the right platform for it. No product pitch. The expert read is yours.

Book a free architecture review Meet the architect