How Bedrock Data Achieved 50% Faster Incident Resolution and Unified Observability with Oodle

“Oodle is a fully baked, from-the-ground-up observability platform. An observability platform needs to look and feel as if it's all one integrated process. And that's what Oodle does.”
Olaf Stein
Head of Customer Success, Bedrock Data
<5 Hours
End-to-End Onboarding
3 Teams
Post-sales, Sales Eng. & Eng. on One Platform
50%
Faster Incident Resolution
Strongest
Tool Adoption to Date
Bedrock Data

Bedrock Data specializes in data security posture management (DSPM), discovering and classifying sensitive data across cloud and SaaS environments at multi-petabyte scale.

IndustryData Security (DSPM)
Company size11-50
Previous ToolsA major logs vendor, CloudWatch

Challenge

“If you're not talking the same language and using the same tools, it just slows the process down unnecessarily.”
“If you have three engineers and me on a Slack channel or a Zoom call, any hour it takes longer costs actual money. It costs money, it costs productivity, and it causes frustration.”
— Olaf Stein, Head of Customer Success

Bedrock Data's observability was fragmented. Different team members relied on multiple tools, custom scripts and no single source of truth. For a remote-first team, troubleshooting on Slack or Zoom with mismatched tools slowed incident resolution significantly.

Pain Points:

Fragmented tooling: Unable to standardize troubleshooting as telemetry was scattered between their logs vendor and Cloudwatch
Collaborative investigations were painful: Remote team debugging over Slack and Zoom with different tools and no shared context slowed investigations
No correlation between signals: Engineers wrote custom scripts to collate logs and manually cross-referenced them with metrics.
Costly multi-tool overhead: High costs of overlapping tools and engineering time lost navigating them instead of building

Solution

Why Bedrock Data Chose Oodle

“I would describe Oodle as looks and feels a lot like Datadog, but a lot cheaper.”
“It took an hour to onboard the data. Another couple of hours for log transformations in the ingest pipeline. Getting us up and running probably took 4 or 5 hours end-to-end.”
— Olaf Stein, Head of Customer Success

With their logs contract expiring, Olaf evaluated the market. Oodle was the only vendor Bedrock Data took through a full technical evaluation and POC as it natively supported their requirements without forcing workflow changes.

What made the difference:

Native OpenTelemetry support: Built in, not bolted on — a core architectural choice
Cost-efficient without compromising capability: Right capabilities at the right price point for high telemetry volumes
Native S3 ingestion: Oodle pulls logs straight from S3. No extra infrastructure or Lambda functions needed
Quick onboarding: Data flowing in under an hour; Complete onboarding was done in <5 hours
Intuitive, point-and-click interface: No need to learn complex query languages — key factor for broad adoption

Impact

Unified Observability in Action

“A customer reported an issue late at night. Three of us were each in Oodle, sharing search links on Slack. We root-caused the issue in 20 minutes and had the customer notified in 35.”
“People like not having to write queries.

The auto-correlation between backend metrics and logs is also a great improvement.”
— Olaf Stein, Head of Customer Success

Shortly after onboarding, Bedrock faced a real-world test: a late night customer incident. Three team members quickly investigated the issue from their own angles while exchanging links to Oodle searches. As Olaf acknowledged, just finding the right information, interpreting it and arriving at the same answers would have taken significantly longer with other tools.

Immediate time-to-value: Onboarding and resolving real incidents within the first week
Integrated platform: Logs and metrics autocorrelate natively
Strongest adoption to date: Post-sales, sales engineering, and engineering actively collaborating on a single platform
50% faster incident resolution: Oodle's unified platform and intuitive UX cut their MTTR in half
AI-native experience: Incidents resolved faster with AI-driven root-cause analysis and dashboards anyone can build in plain English
“People can do the same things they were doing before, plus things we couldn't do before. The adoption curve is pointing much more upwards than with any other tool.”
— Olaf Stein, Head of Customer Success

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