Observability built for heavy workloads

When design, simulation, and build systems push infrastructure to the limit, an observability control plane keeps telemetry manageable, incidents visible, and engineers focused on shipping, not debugging pipelines.

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The Challenge

More telemetry, less clarity

Large shared compute clusters and hybrid environments generate huge volumes of logs and metrics from build and simulation workloads. Observability has grown organically across teams, leaving overlapping tools, inconsistent data, and manual fixes when pipelines break. Engineers spend too much time chasing logging issues and performance blind spots instead of focusing on new designs. Leadership needs clearer visibility and cost control without disrupting productive workflows.

The Solution

An observability layer engineers trust

An observability control plane sits in front of existing monitoring tools to standardise, enrich, and route telemetry from engineering systems. High volume data streams are shaped at the source, noisy signals are reduced, and shared clusters gain consistent visibility across regions. Operations and platform teams get clearer insight and cost transparency, while engineers gain faster feedback without changing how they work.

Standardise telemetry across clusters

Normalise and enrich logs and metrics from build, test, and simulation environments so every tool sees the same consistent signals, no matter where the workload is running.

Control high volume data streams

Apply filtering, sampling, and aggregation at the edge to cut ingestion and storage costs while preserving the fidelity needed for performance analysis and fault isolation.

Detect issues in shared environments

Correlate events across compute clusters, services, and regions so teams spot patterns that affect multiple groups earlier, reducing time spent tracking down bottlenecks and noisy neighbours.

Modernise without slowing delivery

Decouple telemetry from specific tools so new monitoring platforms, clouds, or pipelines can be introduced without rewiring every engineering system or slowing release cycles.

Cribl Stream 101

Drowning in telemetry? Data grows 28% yearly while indexing costs up to 100× block storage. See how Cribl Stream shapes data before ingest — enrich, reduce, and route by value. Migrate SIEMs faster, cut spend, and improve MTTR without ripping and replacing. Watch practitioners take control.

Customer success story

Vodafone dials up business insights with Cribl Stream

“This solution gives you visibility right away, instead of having to do something complicated. It’s easy to have it up and running. It’s the only solution that lets you implement observability quickly and easily.”

Mina Yacoub
Autonomics and Analytics Engineering Lead

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CUSTOMER TESTIMONIALS

Reshaping our customer’s data management strategy

Hughes Network Systems

Hear how Hughes Network Systems is using Cribl to tap into multiple use cases including having the ability to send data to their vendor of choice, mask data in flight, or search data in place.See full story

Service Now

Supporting Service Now’s ability to filter out events, Cribl helped their team drastically reduce data in Splunk.See full story

Cox Automotive

Deliver precise data, drop waste, cut complexity. Cribl simplifies pipelines with choice, flexibility, control, fidelity, savings.See full story

Key capabilities for engineering observability

CONSISTENCY

Align telemetry across teams and tools

Create common formats and fields so infrastructure, platform, and engineering teams can share dashboards and investigations without reworking data.

EFFICIENCY

Optimise ingest from heavy workflows

Reduce redundant events and verbose logs from simulation and build systems while protecting the detail required for deep technical analysis.

RELIABILITY

Stabilise observability pipelines

Move routing and transformation logic into a managed control plane so small changes no longer break downstream integrations and alerts.

SCALABILITY

Grow observability with innovation

Support new regions, platforms, and tools by plugging them into the same observability backbone instead of building one off data paths each time.

Cribl + Computacenter

Modern observability, delivered

Computacenter and Cribl work together to design observability control planes for complex engineering environments, helping teams handle high telemetry volumes, manage cost, and keep critical compute platforms running smoothly.

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