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Five signs your observability stack needs a pipeline layer

Your SIEM bill keeps climbing. Onboarding new data sources takes weeks. Your team spends more time on parsing config than security analysis. These are signals that a routing layer belongs in your architecture.

Zbigniew Gajuk2026-03-211 min readFor CIO and CTO, Platform and SRE

On the left a tall platform tower tangled in grey streams from many sources, its warning lamps glowing amber and red and its gauge in the red. On the right the same tower is calm, with teal lamps and a low gauge, behind a slim dark teal pipeline stage that sends it one orderly stream and sends a broad stream down into a layered storage slab.The same SIEM, relieved
The SIEM does not change. What changes is how much of the mess reaches it, and that is the layer all five signs point to.

1. Your SIEM bill keeps climbing but nothing changed

Data volumes grow 50 percent year over year on average. If your architecture sends everything to the SIEM, your costs grow at the same rate. A pipeline layer routes only high-value data to expensive analytics tiers.

2. Onboarding new data sources takes weeks

Each new source requires custom parsing, field extraction, and testing in the SIEM. A pipeline layer handles normalization upstream so the SIEM receives pre-parsed, schema-mapped events from day one.

3. Your team spends more time on parsing config than analysis

When Splunk administrators spend 60 percent of their time maintaining props.conf and Technology Add-ons, that is an architecture problem. Pipeline-based normalization eliminates source-by-source parsing configuration inside the SIEM.

4. You cannot test a new platform without a full migration

Vendor lock-in means evaluating a replacement requires months of parallel infrastructure. A pipeline layer routes to multiple destinations simultaneously, letting you test alternatives with live data while production continues unchanged.

5. Compliance retention costs more than it should

Storing 7 years of logs in a SIEM for compliance is prohibitively expensive. A pipeline layer archives to S3 at pennies per GB and provides search capabilities through tools like Cribl Search for investigation and audit without rehydration.

Five signs a stack needs a pipeline layer, and what the layer changesFive rows. The SIEM bill keeps climbing: route by value so only high-value data reaches the analytics tier. Onboarding a source takes weeks: normalize upstream so the SIEM receives schema-mapped events from day one. Parsing configuration crowds out analysis: parse once in the pipeline. Testing a platform means migrating: route to two destinations and test with live data. Retention costs more than it should: archive to S3 and search it without rehydration.THE SIGNWHAT A PIPELINE LAYER CHANGES1THE SIEM BILL KEEPS CLIMBINGEverything is sent to the SIEM, so the cost grows with the data.ROUTE BY VALUEOnly high-value data reaches the expensive analytics tier.2ONBOARDING A SOURCE TAKES WEEKSEach new source needs its own parsing, field extraction and testing inside the SIEM.NORMALIZE UPSTREAMThe SIEM receives pre-parsed, schema-mapped events from day one.3PARSING CROWDS OUT ANALYSISAdministrators maintain parsing configuration and add-ons, source by source.PARSE ONCE, IN THE PIPELINESource-by-source parsing configuration inside the SIEM goes away.4TESTING A PLATFORM MEANS MIGRATINGEvaluating a replacement takes months of parallel infrastructure.ROUTE TO TWO DESTINATIONSTest an alternative with live data while production carries on unchanged.5RETENTION COSTS MORE THAN IT SHOULDYears of compliance logs are kept inside the SIEM.ARCHIVE TO S3The full copy sits at storage prices, searchable for audit without rehydration.
Five signs a stack needs a pipeline layer, and what the layer changesFive rows. The SIEM bill keeps climbing: route by value so only high-value data reaches the analytics tier. Onboarding a source takes weeks: normalize upstream so the SIEM receives schema-mapped events from day one. Parsing configuration crowds out analysis: parse once in the pipeline. Testing a platform means migrating: route to two destinations and test with live data. Retention costs more than it should: archive to S3 and search it without rehydration.FIVE SIGNS, AND WHAT A PIPELINE LAYER CHANGES1THE SIEM BILL KEEPS CLIMBINGEverything is sent to the SIEM, so the cost grows with thedata.ROUTE BY VALUEOnly high-value data reaches the expensive analytics tier.2ONBOARDING A SOURCE TAKES WEEKSEach new source needs its own parsing, field extractionand testing inside the SIEM.NORMALIZE UPSTREAMThe SIEM receives pre-parsed, schema-mapped eventsfrom day one.3PARSING CROWDS OUT ANALYSISAdministrators maintain parsing configuration andadd-ons, source by source.PARSE ONCE, IN THE PIPELINESource-by-source parsing configuration inside the SIEMgoes away.4TESTING A PLATFORM MEANS MIGRATINGEvaluating a replacement takes months of parallelinfrastructure.ROUTE TO TWO DESTINATIONSTest an alternative with live data while production carrieson unchanged.5RETENTION COSTS MORE THAN IT SHOULDYears of compliance logs are kept inside the SIEM.ARCHIVE TO S3The full copy sits at storage prices, searchable for auditwithout rehydration.
Each sign is the SIEM doing work that belongs upstream. A pipeline layer in front of it takes that work on, and the SIEM stays where it is.

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