OBSERVABILITY AND SRE

If you learn about an issue from a customer, your observability is not working.

We design, deploy and improve observability platforms so your team can detect, understand and resolve infrastructure problems faster.

THE PROBLEM

Some companies discover an infrastructure problem when a customer reports it.

And that is precisely the problem. Observability is not installing Grafana, filling a screen with charts and configuring 200 alerts. It is being able to answer much more important questions quickly.

Is the platform working correctly?

What is degrading?

Where is the bottleneck?

What changed before the incident?

Are we close to a capacity limit?

Does this problem affect the user?

Can the team diagnose it without searching for two hours?

If answering these questions requires a manual investigation every time something happens, there is probably an observability problem.

WE DO NOT START WITH THE TOOL

We start by understanding what you need to know about your infrastructure.

Every company needs a different stack. Traditional infrastructure may need Zabbix; Kubernetes often uses Prometheus and Grafana; and another team may already have good tools that simply need better coverage and more useful alerts.

Our job is not to sell you a particular tool. It is to help you build observability that makes sense for your infrastructure and your team.
APPLICATIONS
METRICS · LOGS · EVENTS
OBSERVABILITY
DASHBOARDS · ALERTS · DIAGNOSIS

TECHNOLOGIES

We choose each component for what you need to see, not for a logo list.

Zabbix

Monitoring for servers, services, availability, traditional infrastructure and selected network components.

Prometheus + Grafana

Metrics, alerting and dashboards particularly useful for Kubernetes and cloud-native architectures.

KubeBolt

Operational visibility for Kubernetes to help teams understand what is happening inside a cluster.

Kubernetes

Visibility into the state, resources, capacity and behaviour of nodes and workloads.

Azure · AWS · GCP

Native cloud services can be part of the design when they add context and fit the environment.

Your existing stack

You do not need to start over. We audit, organise and improve the tools your team already uses.

WHAT WE CAN DO

From finding the gaps to leaving the system deployed and documented.

Observability assessment

We review what you measure, what you cannot see and where blind spots exist. You receive a prioritised improvement list.

Stack design

We define the tools and components that fit your infrastructure, team and acceptable cost.

Deployment

We install and configure data collection, storage, visualisation and the basic operating rules.

Dashboards

We build views that answer operational questions instead of filling screens with decorative charts.

Alerts

We design alerts for real problems, with useful context and as little unnecessary noise as possible.

Kubernetes observability

We add visibility across nodes, pods, workloads, resources, errors, capacity and cluster behaviour.

SLIs and SLOs

We define indicators and objectives that measure whether the service works as users expect. We can start with two or three that actually matter.

Runbooks

We document what to check and do for known problems so response does not depend on one person’s memory.

Incident management

We establish a clear process to detect, diagnose, mitigate and review incidents.

Postmortems

We analyse what happened, contributing factors and changes that can reduce recurrence.

KUBERNETES OBSERVABILITY

Kubernetes generates a huge amount of information. The problem is knowing what matters.

We group signals so the team can move from symptom to diagnosis without inspecting every cluster resource by hand.

KUBERNETES

Workload state

Pods, deployments, availability, restarts, CrashLoopBackOff and OOMKilled.

KUBERNETES

Resources and capacity

CPU, memory, requests, limits, nodes, capacity and scheduling.

KUBERNETES

Cluster dependencies

Storage, networking, errors and the health of components that support workloads.

The goal is not to monitor Kubernetes for its own sake. It is to understand what is happening when the platform starts behaving differently.

ALERT FATIGUE

300 alerts do not mean your infrastructure is well monitored.

When everything sends a notification, the team stops distinguishing urgency from background information. A useful alert says what happened, where, since when, the likely impact and where to start checking.

INFO

Something changed.

Record or review it, but no immediate intervention is required.

WARNING

Something may become a problem.

Watch the trend or act before it affects the service.

CRITICAL

Someone should intervene.

There is real impact or immediate risk that requires a clear action.

OBSERVABILITY VS SRE

First understand what is happening. Then use that information to improve reliability.

01 · OBSERVABILITY

OBSERVABILITY

What is happening?
  • Metrics
  • Logs
  • Events
  • Dashboards
  • Alerts
  • Kubernetes visibility
  • Detection
02 · SRE

SRE

What do we do with that information?
  • SLIs and SLOs
  • Runbooks
  • Incident management
  • Postmortems
  • Capacity planning
  • Reliability improvements
STEPDETECT
STEPUNDERSTAND
STEPDIAGNOSE
STEPRESPOND
STEPRECOVER
STEPLEARN

WHEN TO TALK TO US

Situations that usually point to missing visibility, criteria or process.

Customers detect problems before you do.

You have Grafana, but nobody looks at Grafana.

The team receives so many alerts that it ignores them.

Investigating an incident takes too long.

Kubernetes has become a black box.

Infrastructure depends too heavily on one person’s knowledge.

The company grew, but monitoring did not grow with it.

You do not know what you should monitor.

HOW WE WORK

A straightforward process designed to leave capability inside your team.

The infrastructure, configuration and knowledge remain in the client’s hands. We do not create artificial dependency.

  1. Understand your infrastructure.
  2. Review what you can and cannot see.
  3. Prioritise critical gaps.
  4. Design or improve the stack.
  5. Implement metrics, dashboards and alerts.
  6. Document the work.
  7. Transfer knowledge to your team.

THREE WAYS TO START

Choose the entry point that fits your current situation.

Observability assessment

For companies that do not know exactly what they need. We assess the current environment, blind spots, alerts and coverage.

Request an assessment

Observability implementation

For companies that need to deploy or rebuild the stack: design, implementation, dashboards, alerts and documentation.

Discuss implementation

SRE Foundations

For teams with observability that want to start using SLIs, SLOs, runbooks, incident management and postmortems.

Start with SRE

OUTCOME

When something starts going wrong, you should know.

  • Fewer blind spots.
  • Less noise.
  • Faster diagnosis.
  • Better production knowledge.
  • More ability to anticipate problems.
  • Better incident response.

OBSERVABILIDAD Y SRE

What is really happening inside your platform?

We can review your current situation, find the main blind spots and recommend the most reasonable starting point. Without forcing you to change stack. Without deploying tools for their own sake.