Observability

Addressing the challenges of visibility in modern infrastructures

Provide responsiveness and autonomy in decision-making

CNS defines observability as follows

A way to equip IT systems and interpret data, in order to correlate IT issues with the client’s activities, providing decision-makers with responsiveness and autonomy.

In concrete terms, it means having a clear understanding of you systems so you can make quick and sound decisions. CNS helps you to stabilize your infrastructure and to connect your IT challenges to your business objectives.

It is our cross-functional experience in IT systems and infrastructure that enables us to tie your technical issues to your business goals.

Challenges and
Observations
in Infrastructures

OBSERVED CHALLENGES

The growing complexity of hybrid and multi-cloud infrastructure → Their massive adoption leads to a significant increase in costs.

Proliferation of providers and fragmentation of architecture → The number of technology providers is growing, and both TCO (Total Cost of Ownership) and human resource costs tend to double. This is especially difficult for small companies.

Increasing cybersecurity needs → Today, 50% of compagnies use more than 20 different tools. This multitude of data-exploiting tools, poorly maintained, represents risks of leaks or intrusions.

Operational risks → Infrastructures are becoming more complex. As a result, 88% of companies suffer frequent incidents. Given the abundance of existing tools, managing and resolving incidents becomes increasingly difficult.

CNS OBSERVATIONS

Observability isn't just about tools → It is a strategic lever to make IT environments more reliable and to align technical issues with business priorities.

Cost and performance optimization → With an optimized tech stack, companies see 70% faster query speeds, a 50% reduction in TCO, and a clear decrease in false positives. Fewer incidents, better responsiveness, controlled costs, and autonomous teams.

Natural convergence between automation and observability → Automation makes data more reliable. It accelerates the detection of drifts (the gaps between intention and reality). Observability feeds automation mechanisms and provides a better understanding of the real state of your systems.

The evolution of infrastructures is making traditional supervision and monitoring approaches less effective, while increasing costs. CNS is evolving the old pyramidal vision into a neuronal vision of the IT system

In practice

CNS Methodology

How to implement IT observability

Facing these challenges, there’s no magic wand, no one-size-fits-all model or revolutionary tool. Only a tailored approach works — one that is adapted to your context.

FOR A MORE RELIABLE, READABLE, AND HIGH-PERFORMING IT

Our observability approach is agnostic and scalable, built on our client experience.

We support you through four personalized steps, offering pragmatic advice and independent consulting to guarantee your autonomy in decision-making and your independence from any particular tool or technology.