How many steps are in the Monitoring MVP checklist?

This MVP checklist has 50 actionable items grouped into 5 phases: Phase 1: Core Metrics & Uptime Monitoring, Phase 2: Application Performance Monitoring (APM), Phase 3: Log Aggregation and Analysis, Phase 4: Advanced Alerting and SLOs, Phase 5: Cost Optimization and Multi-Cloud Monitoring.

Where should I start with the Monitoring MVP checklist?

Start with Phase 1: Core Metrics & Uptime Monitoring — its first tasks are Implement basic CPU and Memory utilization monitoring. and Set up uptime monitoring for critical services.. Work the phases in order and prioritise the items marked critical.

What is a key tip for launching in Monitoring?

Start with the most critical services and metrics to avoid information overload.

Checklist · Monitoring

Monitoring MVP checklist — Step by Step 2026

This checklist guides you through launching a Monitoring MVP, focusing on the core features needed to address DevOps and SRE pain points such as alert fatigue, root cause analysis, and multi-cloud environments. From APM to logging, ensure a solid foundation for your observability solution.

50 checklist items 7 min read

Reviewed by Roman Trotsko & Denis TrotskoLast reviewed April 2026

Phase 01

Phase 1: Core Metrics & Uptime Monitoring

10 tasks

1.1
critical1 day
Implement basic CPU and Memory utilization monitoring.
Track CPU and Memory usage across your infrastructure. Use tools like Prometheus + Grafana.
1.2
critical0.5 days
Set up uptime monitoring for critical services.
Monitor the availability of key services using tools like UptimeRobot or Pingdom.
1.3
high0.5 days
Configure basic alerting for high CPU usage.
Alert when CPU usage exceeds a defined threshold (e.g., 80%) using PagerDuty.
1.4
medium0.5 days
Implement basic disk space monitoring.
Track disk space usage across your infrastructure to prevent outages.
1.5
high0.5 days
Integrate with a notification channel.
Connect your alerting system to Slack or email for notifications.
1.6
medium1 day
Implement response time monitoring for key APIs.
Track the response time of your most important APIs.
1.7
low1 day
Set up basic network latency monitoring.
Monitor network latency between critical components.
1.8
medium1 day
Create a simple dashboard for key metrics.
Visualize core metrics in a Grafana dashboard.
1.9
low0.5 days
Implement SSL certificate expiration monitoring.
Monitor SSL certificate expiration dates.
1.10
low0.5 days
Document the monitoring setup.
Create documentation for the monitoring setup.

Phase 02

Phase 2: Application Performance Monitoring (APM)

10 tasks

2.1
critical2 days
Instrument your application with an APM agent.
Use APM tools like New Relic or Datadog to instrument your application.
2.2
high1 day
Monitor request response times.
Track request response times for different endpoints.
2.3
high1 day
Track database query performance.
Monitor database query performance for slow queries.
2.4
medium1 day
Identify slow transactions.
Identify slow transactions that impact application performance.
2.5
high1 day
Implement error tracking.
Track application errors using Sentry.
2.6
medium0.5 days
Configure alerting for slow transactions.
Alert when transaction response times exceed a threshold.
2.7
low1 day
Track external service dependencies.
Monitor the performance of external service dependencies.
2.8
medium1 day
Visualize APM data in a dashboard.
Create a dashboard to visualize APM data.
2.9
low2 days
Implement distributed tracing.
Implement distributed tracing to track requests across services.
2.10
low0.5 days
Document APM setup and usage.
Document the APM setup and how to use it.

Phase 03

Phase 3: Log Aggregation and Analysis

10 tasks

3.1
critical2 days
Aggregate logs from all services.
Use tools like Elasticsearch, Fluentd, and Kibana (EFK) or Loki to aggregate logs.
3.2
high1 day
Implement log parsing and indexing.
Parse and index logs for efficient searching.
3.3
high0.5 days
Configure alerting for error logs.
Alert when error logs are detected.
3.4
medium1 day
Implement log-based metrics.
Generate metrics from logs for monitoring.
3.5
high0.5 days
Search logs for specific events.
Ability to search logs for specific events and patterns.
3.6
medium1 day
Visualize log data in a dashboard.
Create a dashboard to visualize log data.
3.7
low0.5 days
Implement log retention policies.
Define log retention policies to manage storage costs.
3.8
medium0.5 days
Integrate logs with alerting systems.
Integrate log data with alerting systems.
3.9
low1 day
Implement log anonymization.
Anonymize sensitive data in logs.
3.10
low0.5 days
Document log aggregation and analysis setup.
Document the log aggregation and analysis setup.

Phase 04

Phase 4: Advanced Alerting and SLOs

10 tasks

4.1
critical1 day
Implement advanced alerting rules.
Configure more sophisticated alerting rules to reduce alert fatigue.
4.2
high1 day
Define Service Level Objectives (SLOs).
Define SLOs for critical services.
4.3
high1 day
Monitor SLO compliance.
Track SLO compliance using tools like Nobl9.
4.4
medium1 day
Implement anomaly detection.
Use anomaly detection to identify unusual behavior.
4.5
high0.5 days
Configure alerting based on SLO breaches.
Alert when SLOs are breached.
4.6
medium1 day
Implement runbooks for common alerts.
Create runbooks to guide incident response.
4.7
medium0.5 days
Integrate with incident management tools.
Integrate with tools like PagerDuty or Opsgenie.
4.8
medium1 day
Visualize SLO compliance in a dashboard.
Create a dashboard to visualize SLO compliance.
4.9
low0.5 days
Implement alert suppression.
Implement alert suppression to reduce noise.
4.10
low0.5 days
Document alerting and SLO setup.
Document the alerting and SLO setup.

Phase 05

Phase 5: Cost Optimization and Multi-Cloud Monitoring

10 tasks

5.1
medium0.5 days
Monitor monitoring costs.
Track the costs associated with your monitoring tools.
5.2
medium0.5 days
Optimize data retention policies.
Adjust data retention policies to reduce storage costs.
5.3
low1 day
Implement sampling for high-volume metrics.
Use sampling to reduce the volume of metrics collected.
5.4
high1 day
Monitor multi-cloud environments.
Monitor resources across multiple cloud providers.
5.5
medium1 day
Implement unified monitoring across clouds.
Use a single tool to monitor all cloud environments.
5.6
medium1 day
Optimize resource utilization.
Identify and optimize underutilized resources.
5.7
low1 day
Implement auto-scaling.
Implement auto-scaling to dynamically adjust resources.
5.8
medium0.5 days
Use cost-effective monitoring tools.
Evaluate and use cost-effective monitoring tools.
5.9
low0.5 days
Implement budget alerts.
Alert when monitoring costs exceed a defined budget.
5.10
low0.5 days
Document cost optimization strategies.
Document the cost optimization strategies.

Pro tips

Start with the most critical services and metrics to avoid information overload.
Automate as much of the monitoring setup as possible using tools like Terraform or Ansible.
Regularly review and adjust alerting thresholds to reduce alert fatigue.
Involve the development team in the monitoring setup process.
Continuously improve your monitoring setup based on feedback and incident reports.

Monitoring MVP checklist — Step by Step 2026

Phase 1: Core Metrics & Uptime Monitoring

Implement basic CPU and Memory utilization monitoring.

Set up uptime monitoring for critical services.

Configure basic alerting for high CPU usage.

Implement basic disk space monitoring.

Integrate with a notification channel.

Implement response time monitoring for key APIs.

Set up basic network latency monitoring.

Create a simple dashboard for key metrics.

Implement SSL certificate expiration monitoring.

Document the monitoring setup.

Phase 2: Application Performance Monitoring (APM)

Instrument your application with an APM agent.

Monitor request response times.

Track database query performance.

Identify slow transactions.

Implement error tracking.

Configure alerting for slow transactions.

Track external service dependencies.

Visualize APM data in a dashboard.

Implement distributed tracing.

Document APM setup and usage.

Phase 3: Log Aggregation and Analysis

Aggregate logs from all services.

Implement log parsing and indexing.

Configure alerting for error logs.

Implement log-based metrics.

Search logs for specific events.

Visualize log data in a dashboard.

Implement log retention policies.

Integrate logs with alerting systems.

Implement log anonymization.

Document log aggregation and analysis setup.

Phase 4: Advanced Alerting and SLOs

Implement advanced alerting rules.

Define Service Level Objectives (SLOs).

Monitor SLO compliance.

Implement anomaly detection.

Configure alerting based on SLO breaches.

Implement runbooks for common alerts.

Integrate with incident management tools.

Visualize SLO compliance in a dashboard.

Implement alert suppression.

Document alerting and SLO setup.

Phase 5: Cost Optimization and Multi-Cloud Monitoring

Monitor monitoring costs.

Optimize data retention policies.

Implement sampling for high-volume metrics.

Monitor multi-cloud environments.

Implement unified monitoring across clouds.

Optimize resource utilization.

Implement auto-scaling.

Use cost-effective monitoring tools.

Implement budget alerts.

Document cost optimization strategies.

Pro tips

Frequently asked questions

How many steps are in the Monitoring MVP checklist?

Where should I start with the Monitoring MVP checklist?

What is a key tip for launching in Monitoring?

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