Application Monitoring
“We find out about outages from our users”
Your monitoring dashboards look impressive but nobody watches them. When something breaks, you learn about it from a customer email or a support ticket, not from your own systems.
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You know about problems before your users notice.
Meaningful alerting with tuned thresholds. Real-time visibility into application health. Issues detected and escalated. Automatically, not accidentally.
Your monitoring setup cost time and money to build. CloudWatch dashboards, custom metrics, alert rules. It looks professional. But here’s the pattern that plays out: an alert fires, nobody notices because hundreds of alerts fire every day. A customer reports the problem. Your team scrambles to diagnose it manually.
The monitoring exists. But it doesn’t work.
The alert fatigue death spiral
It starts innocently. You set up alerts with reasonable thresholds. But traffic patterns change, deployments shift baselines, and thresholds that made sense six months ago now trigger constantly. Your team starts ignoring alerts. Once trust in alerting is lost, the monitoring system becomes expensive decoration.
This is the most common monitoring failure pattern, and it’s not a technology problem. It’s a configuration and maintenance problem. Monitoring that isn’t continuously tuned to your actual application behaviour degrades to noise within months.
Monitoring as a managed discipline
We build and maintain your monitoring as a living system, not a one-time setup.
Tuned to your application. Alert thresholds based on your actual traffic patterns and SLA requirements. Not vendor defaults. Not one-size-fits-all baselines.
Full-stack correlation. When your API response time degrades, you see the database query, the infrastructure bottleneck, and the user impact in one view. No manual detective work across three tools.
Response built in. Every alert has a documented runbook: what it means, what to check, what action to take. Whether your team responds or ours, the path from alert to resolution is clear.
What's usually in the way
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Alert fatigue has killed monitoring trust
Your team gets hundreds of alerts daily. Most are noise. Real issues get lost. Engineers start ignoring alerts entirely. The monitoring exists but nobody trusts it.
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Dashboards without context or action
CPU charts and memory graphs look good in demos. But when something breaks, nobody knows which metric matters or what threshold means 'act now.'
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No correlation between infrastructure and application
Your infrastructure monitoring and application monitoring are separate. A database latency spike shows in one tool while the API timeout shows in another. Connecting cause to effect requires manual detective work.
What we resolve
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Alerting tuned to your application, not defaults
Every alert has a purpose, a threshold based on your actual traffic patterns, and a clear response action. No noise. No ignored alerts.
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Runbooks attached to every alert
When an alert fires, the response is documented. What to check, what to do, when to escalate. Your team, or ours. Can respond immediately.
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Full-stack observability connecting cause to effect
Infrastructure, application, and user experience metrics correlated in one view. When your API slows down, you see the database query causing it. Instantly.
“Our dev team are able to react much quicker to software issues before they impact our clients, and they know exactly where to look.”
Head of Product , Online Retail, 500 employees
Frequently asked questions
What does Application Monitoring cover?
Real-time visibility into application health, alert tuning to your traffic patterns, dashboards that connect cause to effect, and incident response playbooks. We use Amazon CloudWatch, third-party APMs (Datadog, New Relic) where they fit, and our own runbooks for incident response.
We already have monitoring tools. Do we have to replace them?
No. We work with what you have where it works, and add what's missing. If your dev team likes Datadog, we tune Datadog. If a workload would benefit from deeper AWS-native visibility, we add CloudWatch alongside. Tools are means, not ends.
How do you fix alert fatigue?
Every existing alert gets reviewed for purpose and threshold. Noise gets silenced. Real signals get tightened. We work with your team to define what 'act now' actually means per service. The first month usually drops alert volume by 70-90%, and what's left actually means something.
What happens when an alert fires?
Depends on what you've engaged us for. If we run AWS managed services for you, we respond and resolve. If you run operations yourself, we set up the alerting and runbooks; your team handles incidents. Either way, alerts have clear owners and clear actions.
How does this differ from infrastructure monitoring?
Infrastructure monitoring tells you a server is slow. Application monitoring tells you which user request is slow, why, and which downstream service caused it. We connect both, so a database latency spike maps to the API timeouts your users actually see.
Ready to take the next step?
No obligation, just a clear conversation about where you are and what's possible.