Observability and Cloud

Observability and cloud to know before the user does that something is wrong.

For companies with 50 to 500 employees running systems that cannot go down. Infrastructure and application monitoring, SRE practices and cloud operations with costs under control — to act before the problem turns into downtime.

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What's included

Observability and cloud, in practice

We start with the monitoring tools you already have. Often the problem isn't a lack of data, but an excess of alerts with no owner.

Infrastructure monitoringServers, network, databases and cloud services with thresholds tuned to the reality of each environment — not to the tool's default values.

Application performance (APM)Response time, errors and dependencies for each transaction, to find the bottleneck in minutes instead of pulling five teams together.

Alerts worth acting onReview of what fires, grouping by incident and routing to whoever resolves it. Fewer alerts, more action.

SRE: SLOs and reliabilityService level objectives agreed with the business, error budgets and blameless post-incident reviews.

Cloud operationsArchitecture, backup, high availability and infrastructure automation to run AWS, Azure or Google Cloud predictably.

Cloud costs (FinOps)Visibility of spend by product and by team, idle resources, reservations and budget alerts before the bill arrives.

References

References we use in the design

SRE practicesSLIs, SLOs and error budgets turn 'the system is slow' into a number agreed with the business, and tell you when to prioritize reliability over new features.

OpenTelemetryAn open standard for metrics, logs and distributed tracing. Instrumenting with it avoids lock-in to a single monitoring vendor.

FinOpsFinOps Foundation practices to give each team visibility into, and responsibility for, its own cloud spend.

LGPD in logsApplication logs often carry personal data. Masking, defined retention and controlled access are part of the design from the start.

Want to measure where your company stands before we talk? The AI governance checklist has 12 items and takes about 15 minutes.

How we start

Four stages, with a concrete deliverable in each one.

Short cycles, a defined timeline and a goal stated before we begin. You know what you get and when.

Assessment

Map of critical applications, of what is monitored today, of alert volume and of cloud spend.

1 to 2 weeks

Design

SLOs for critical applications, an instrumentation standard, an alerting policy and a cost optimization plan.

2 to 3 weeks

Implementation

Instrumentation, dashboards, alerts, escalation routes and the first cost actions.

4 to 8 weeks

Operations and improvement

Post-incident reviews, SLO adjustments and monthly tracking of cost and reliability.

ongoing

What you get

Deliverables, not slide decks.

Map of critical applications and their dependencies
SLOs agreed with the business for the main services
Infrastructure, application and user experience dashboards
Alerting policy with escalation routes and noise reduction
Cloud cost report with prioritized savings
Post-incident review routine and team training

Frequently asked questions

What people ask before getting started.

What is the difference between monitoring and observability?

Monitoring tells you something broke, based on checks you defined in advance. Observability lets you understand why it broke, by correlating metrics, logs and tracing — including for failures nobody anticipated.

Do I need to replace my monitoring tool?

In most cases, no. We start by tuning what already exists and only recommend a switch when the tool prevents you from seeing what matters.

Can cloud costs be reduced without losing performance?

Almost always. Idle resources, oversized instances and a lack of reservations are common. The assessment already shows the quickest savings.

Do you support hybrid environments, with part in a data center?

Yes. Most mid-sized companies have a hybrid environment, and observability needs to see both sides.

And where does AI come in?

In alert correlation and probable-cause analysis, which reduce on-call noise. We cover this in detail on our AI for ITSM and ITOM page.

Related services

Areas that usually go together.

Contact

Let's talk about observability and cloud for your company.

Describe your situation in a few lines. We reply within one business day with a proposal for an initial conversation — free and with no commitment.

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Emailcontato@nexaops.cloud

Request a free assessment

Tell us a little about your challenge. We will get back to you with a proposal for an initial conversation.