// Observability on AWS
IT Analytics & Monitoring
Log management, metrics, and alerting that catch incidents early. CloudWatch, New Relic, and PagerDuty setups that engineers keep using after the project ends.
We build the alerting and hand it over. Alerts page your on-call rotation, not ours.
// Services
Our Analytics & Monitoring Services
Infrastructure Monitoring
Metrics from your instances, containers, databases, and AWS services in one place, with alerts that fire on symptoms users actually feel.
Log Analytics
Centralized logs with structure and a retention policy you chose on purpose, so debugging is a query instead of guesswork.
Alerting & Incident Response
One alerting path into PagerDuty, escalation that matches who is on call, and runbooks for the failures that keep coming back.
// From a recent engagement
26 production services handling thousands of requests per minute (NDA), with no single alerting path and no consistent incident process. Wiring EventBridge, CloudWatch, and New Relic into one PagerDuty path, plus runbooks for the recurring failures, cut production incidents by more than 50%.
// In detail
Monitoring Solutions in Detail
Infrastructure Monitoring
Monitoring Coverage:
- EC2, ECS, and EKS workloads, including per container resource use
- Managed data stores: RDS, ElastiCache, DynamoDB
- Queues and event paths: SQS, SNS, EventBridge
- Cloud spend and resource utilization, tracked next to the load that caused it
Key Metrics:
- CPU, memory, and disk, with the saturation signals that precede a failure
- Latency at p50, p95, and p99, not just averages
- Error rates and availability per service
- Queue depth and consumer lag, so backlogs surface before customers notice
Log Management & Analytics
Log Collection:
- Centralized aggregation from applications, containers, and AWS services
- Structured JSON logging with request IDs that survive a hop
- Parsing and enrichment so a log line carries the context to act on it
- CloudTrail events collected alongside application logs
Analytics Features:
- CloudWatch Logs Insights queries saved for the questions you ask often
- Grafana, Kibana, or OpenSearch Dashboards for the views a team watches
- Anomaly detection on error rate and volume, not on everything
- Retention tiers and archive to S3, so log storage stops growing without limit
Application Performance Monitoring (APM)
APM Capabilities:
- End-to-end transaction tracing across service hops
- Code-level detail on the slow endpoints, down to the query
- Dependency mapping, including the calls nobody remembered were there
- Release-to-release comparison, so a regression is attributable
APM Tools:
- New Relic, used in production on a 26 service platform
- Datadog APM
- OpenTelemetry and Jaeger when you would rather not be tied to a vendor agent
- Custom instrumentation where an agent cannot see
Alerting & Incident Management
Alerting Features:
- One alerting path, so alerts stop arriving in four different tools
- Thresholds tuned against real traffic to cut the noise that trains people to ignore alerts
- Escalation policies that match the actual rotation
- A runbook per recurring failure, linked from the alert itself
Incident Response:
- PagerDuty or Opsgenie as the on-call system of record
- Slack notifications for the things that do not warrant waking someone
- Jira tickets opened from incidents so follow-up work is tracked
- Post-incident notes with the fix, not just the timeline
Cost and Capacity Reporting
What the Reports Cover:
- Cost per service and per environment, attributed with tags
- Capacity trends and how much headroom you are paying for
- SLO attainment and error budget burn
- What changed since last month, and what caused it
Reporting Tools:
- Grafana and Kibana dashboards for the operational view
- CloudWatch dashboards and AWS Cost Explorer for the spend view
- Scheduled exports, so nobody has to log in to see the number
- Snowflake when the data already lives there (SnowPro Core certified)
// Stack
Monitoring Technologies We Use
Amazon CloudWatch
Metrics, logs, and alarms native to the account.
Prometheus & Grafana
Cluster and service metrics with dashboards teams keep open.
OpenSearch / ELK
Log search and dashboards when CloudWatch is not enough.
PagerDuty
One alerting path into the on-call rotation.
// What changes
Why Choose Our Monitoring Solutions
One Place to Look
Metrics, logs, and traces in the same view, so an investigation does not start with finding the right tool.
Proactive Detection
Alerts on saturation and error budget burn, which fire before the outage rather than during it.
Decisions from Data
Capacity and cost questions answered from what the system did last month, not from a guess.
Faster Resolution
A runbook linked from the alert and a trace that points at the failing hop cuts the time spent finding the cause.
To be clear about the shape of the engagement: we design and build the monitoring, then hand it over. There is no manned desk behind these alerts. For questions during an engagement, the response commitment is next or same business day depending on your plan, and it is written on the pricing page.
// Process
Our Monitoring Implementation Process
Infrastructure Assessment
We look at what is monitored today, what fires, and what gets ignored. The gaps are usually in the same places.
Tool Selection & Setup
Pick the smallest stack that answers your questions, then configure collection so it is complete rather than partial.
Dashboards & Alerting
Dashboards for the questions you ask during an incident, and alerts tied to user-visible symptoms.
Runbooks & Handover
A runbook per recurring failure, then your engineers get walked through the setup so they can change it without us.
Review and Tuning
After a few weeks of real alerts we go back and remove the noisy ones. Untuned monitoring gets muted, and muted monitoring is worse than none.
// Next step
Ready to See What Your Systems Are Doing?
The easiest way to start is the AWS Quick Wins Audit, a fixed scope review of your account that surfaces the monitoring gaps along with the waste.