Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training AWS CloudWatch - Mastering Advanced Monitoring and Observability training are: Basic AWS experience (EC2, Lambda), knowledge of metrics/logs, Python/Bash scripting. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training AWS CloudWatch - Mastering Advanced Monitoring and Observability training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training AWS CloudWatch - Mastering Advanced Mon... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training AWS CloudWatch - Mastering Advanced Monitoring and Observability training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training AWS CloudWatch - Mastering Advanced Monitoring and Observability training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training AWS CloudWatch - Mastering Advanced Monitoring and Observability training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Master AWS CloudWatch for professional enterprise monitoring

Configure advanced dashboards and alarms for certification-level observability

Develop Logs Insights analyses on massive data volumes

Implement distributed tracing with X-Ray and Synthetics tests

Optimize CloudWatch integrations with AWS services for DevOps skills

Deploy scalable observability solutions adapted to 2026 challenges

Training program

Module 1AWS CloudWatch: Advanced Metrics and Professional Dashboards (Metrics Explorer, widgets, anomalies)

Dive into CloudWatch metrics with Metrics Explorer to visualize AWS resource performances in real-time, configure custom dashboards adapted to your EC2 and Lambda stacks, explore automatic anomaly detection on real enterprise cases, perform practical exercises to create multi-source composite graphs, produce your first deliverable dashboard optimized for the ops team.

Module 2AWS CloudWatch: Intelligent Alarms and Notifications (Alarms, SNS, EventBridge automations)

Learn to configure composite alarms based on dynamic thresholds and ML to anticipate incidents, integrate them with SNS and EventBridge for automated remediation workflows, test on simulated production scenarios like traffic spikes or memory leaks, develop corrective actions via Lambda, generate alert reports for enhanced enterprise reactivity.

Module 3AWS CloudWatch: Logs Insights and Advanced Patterns (query language, filtering, aggregations)

Master the Logs Insights query language to query terabytes of logs in seconds, identify patterns and anomalies via exercises on real microservices app logs, configure live tails for live debugging, aggregate derived metrics for unified dashboards, produce actionable insights on bottlenecks, apply to an ongoing project for professional analytical skills.

Module 4AWS CloudWatch: Distributed Observability with X-Ray and Synthetics (tracing, canaries, contributions)

Implement end-to-end tracing with X-Ray on serverless and EKS container applications, generate service maps to visualize dependencies, deploy Synthetics canaries to continuously monitor APIs and websites, integrate custom contributions for third-party metrics, test on complex projects with simulated latencies, optimize for full-stack observability in 2026.

Module 5AWS CloudWatch: Enterprise Integrations and 2026 Optimization (Detector, RUM, scalable best practices)

Integrate CloudWatch with GuardDuty, Config and others for unified security observability, configure Detector for SLOs and cost budgets, explore RUM for user experience monitoring, apply scalable best practices on hybrid architectures, review the ongoing project with CI/CD deployment, receive a certification-ready implementation plan for your enterprise.