LEANMETRICS BY NETMINDED
NetMinded combines operational data with specialist expertise to engineer leaner, more useful information for observability, automation and AI.
More telemetry doesn't always mean more information.
Enterprise observability platforms make it easy to collect more data. The harder question is what information your operations actually need — and what specialist knowledge determines when that information has meaningfully changed.
RAW TELEMETRY · CONTINUOUS
Many measurements.
Very little new
operational meaning.
12:41:05.009 cpu=43.1% mem=67.2% status=normal
12:41:05.250 cpu=43.2% mem=67.2% status=normal
12:41:05.501 cpu=43.1% mem=67.3% status=normal
12:41:05.752 cpu=43.2% mem=67.2% status=normal
12:41:06.003 cpu=43.1% mem=67.2% status=normal
COLLECT →
Measure it
TRANSPORT →
Move it
INGEST →
Process & index it
STORE →
Retain it
ANALYSE →
Interpret it
AI
Reason over it
→
THE LEANMETRICS APPROACH
LeanMetrics combines operational data with specialist knowledge to engineer more useful information for observability, automation and AI. Working alongside your teams and within your existing environment, we identify what operational meaning needs to be preserved, then engineer how that information is represented for the systems that consume it.
WHY GET LEAN?
Make observability more efficient. Make operational AI more economical.
OBSERVABILITY ECONOMICS
Improve observability economics
Work with your existing observability environment to reduce unnecessary processing while preserving the operational information your teams need.
Reduce unnecessary telemetry
Reduce repetitive data where it adds no new operational meaning.
Reduce ingestion and processing
Reduce the workload passed to downstream platforms.
Reduce storage and query workload
Reduce the infrastructure required to retain and analyse operational data.
Preserve operational information
Engineer around the meaning your operations need, not simply data volume.
Make existing platforms work harder
Use existing observability investments more efficiently without requiring platform replacement.
Reduce cost without replacing the observability platforms you already own.
AI ECONOMICS
Improve AI economics
Give AI systems engineered operational information and context instead of requiring them to repeatedly reason over volumes of raw telemetry.
Fewer unnecessary AI inputs
Reduce repetitive operational data passed into AI systems.
Better operational context
Give AI a representation of the operational environment designed for the task.
Reduced inference workload
Reduce the work required to reach an operational answer.
More meaningful operational information
Present operational meaning rather than requiring AI to rediscover it from raw measurements.
More scalable AI economics
Reduce the relationship between growing telemetry volumes and AI processing cost.
Don't pay AI to rediscover what your experts already know.
BUILT FOR SCALE
We work with complex, high-volume environments where operational data is growing, specialist expertise is scarce, and every new consumer adds processing cost.
01 / TELEMETRY GROWTH
Operational data keeps growing.
Large infrastructure estates continuously generate enormous quantities of operational data.
02 / OBSERVABILITY COST
Monitoring costs grow with it.
Increasing data volumes drive ingestion, storage, processing and query costs across the observability stack.
03 / SCARCE EXPERTISE
The knowledge you need doesn’t scale.
Critical operational knowledge often sits with a limited number of domain experts who repeatedly interpret the same data and conditions.
04 / AI ADOPTION
Machines are another consumer.
AIOps, copilots and agents need operational information and context — creating another demand on your data and expertise.
EXPERTISE FOR COMPLEX, HIGH-VOLUME ENVIRONMENTS
WHY NETMINDED
Operational engineering, not another observability platform.
We've been working on this problem since 2019.
NetMinded started by transforming complex network data into operational information that non-specialists could understand and act on. Today, the next consumer is increasingly a machine.
LeanMetrics applies the same principle to modern observability, automation and AI: give each consumer the information it needs, rather than making it rediscover meaning from raw data.
ENGINEERED INFORMATION · MEASURED OUTCOMES*
less telemetry
While preserving the required analytical outcome in NetMinded technical testing.
fewer AI input tokens
In corresponding tests using engineered operational information.
LEANMETRICS ASSESSMENT
We work with your operational, platform and domain teams to assess a real workflow, its data, specialist knowledge and existing tooling — then identify where observability, engineering or AI costs can be reduced.
