PERFORMANCE MONITORING
Most cloud outages are not sudden. The signals were present hours or days before the incident, a memory leak that crossed 80%, a latency spike on a single dependency, a disk fill rate that would have been obvious if anyone had looked. The problem is not that the data does not exist. It is that nobody configured what to watch for and who to alert.
We design monitoring and observability setups from the incidents you cannot afford, working backward to the metrics, logs, and traces that would have caught them. Alert thresholds are set against normal behaviour patterns, not arbitrary percentages, so alerts mean something and do not train your team to ignore them.
An environment your team understands in real time is one they can operate confidently, rather than one they manage reactively after something breaks in production.
OBSERVABILITY ARCHITECTURE DESIGN
We work from the incidents and decisions your team needs to make and design the metrics, logs, and traces that would answer them. Observability is scoped around your operational needs, not a default set of dashboards that capture what is easy to collect rather than what matters to your business.
APPLICATION PERFORMANCE MONITORING
We implement distributed tracing and application-level performance monitoring across your service stack, so when a request is slow, your team can see which service, which query, or which dependency is the cause rather than starting a guessing process in a live production environment.
CLOUD COST MONITORING
We configure tagging policies, cost allocation views, and spend anomaly alerting so your team knows what each workload costs and receives an alert when spend deviates from its expected range. Cloud cost visibility is a monitoring problem with the same tooling, we treat it as one.
INFRASTRUCTURE MONITORING SETUP
We instrument your cloud infrastructure, compute, network, storage, and managed services, with metrics collection, log aggregation, and alerting configured to your normal operating ranges. Alert thresholds are set against observed baselines, not generic percentages that generate noise on healthy systems.
ALERTING & INCIDENT RESPONSE DESIGN
We design your alerting hierarchy, what triggers a page, what creates a ticket, what is logged for review, and write the runbooks your team follows when an alert fires. Incident response is a process that should be defined before the incident, not improvised during one.
We start from the outages and performance problems your business cannot afford and work backward to the monitoring that would have caught them. What you watch for is a strategic decision, not a default configuration.
Thresholds set against observed baselines, not arbitrary percentages. Alert routing designed so the right person receives the right alert with enough context to act, not a notification that sends the whole team to investigate a healthy system.
Infrastructure metrics, application traces, and log aggregation in one place, so when something goes wrong, your team has the data to diagnose it without switching between four different tools and correlating timestamps manually.
