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 Sentry Performance - Optimising Apps in Production training are: Experience in application development, basics of JavaScript/Python, and logging tools. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Sentry Performance - Optimising Apps in Production training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Sentry Performance - Optimising Apps in... | 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 Sentry Performance - Optimising Apps in Production 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 Sentry Performance - Optimising Apps in Production 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 Sentry Performance - Optimising Apps in Production 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 Sentry Performance configuration for professional projects

Analyse distributed traces and identify application bottlenecks

Develop custom dashboards for real-time monitoring

Implement intelligent alerts and optimisations based on metrics

Integrate Sentry into CI/CD pipelines for continuous observability

Design enterprise-certified performance strategies

Training program

Module 1Sentry Performance Fundamentals: Installation and Initial Configuration (SDK, Projects, Sources)

Quick installation of Sentry in self-hosted or cloud mode, creation of dedicated performance application projects, integration of SDKs for JavaScript, Python, and mobile, configuration of data sources and first trace submissions, practical exercises on a simulated e-commerce application to visualise basic metrics, generation of initial reports, and analysis of first insights for immediate productivity gains.

Module 2Sentry Performance: Analysis of Distributed Traces and Bottlenecks (Transactions, Spans, Profiler)

In-depth exploration of end-to-end traces in Sentry Performance, identification of slow spans and bottlenecks via the integrated Profiler, use of tools like waterfalls to break down API requests and database queries, concrete cases on microservices, collaborative optimisation exercises with code review, production of deliverables such as a quantified performance report ready for team meetings.

Module 3Sentry Performance: Dashboards and Advanced Metrics (Custom Metrics, Release Health)

Design of custom dashboards with dynamic widgets to track CPU, memory, and latency in real-time, implementation of custom metrics via Sentry APIs, monitoring of release health to detect post-deployment regressions, practical workshops on real business scenarios like Black Friday traffic spikes, export of visualisations for executive reports, immediate valorisation of professional observability skills.

Module 4Sentry Performance: Alerts and Automations (Issues, Workflows, Integrations)

Configuration of proactive alerts based on performance thresholds like P95 or error rates, integration with Slack, Jira, and PagerDuty for automated workflows, creation of custom rules to filter false positives, live incident simulations to test rapid responses, development of automation scripts via webhooks, deliverables including an alert playbook ready to deploy in production to reduce MTTR by 50%.

Module 5Sentry Performance: CI/CD Integration and Global Optimisation (Profiling, Trends)

Native integration of Sentry Performance into GitHub Actions, GitLab CI, and Jenkins for continuous monitoring, analysis of historical trends to predict future degradations, advanced optimisation with Profiling mode for hot functions, final red thread project on your application with simulated deployment, collective review of optimisations achieved, issuance of certificates, and action plan for immediate enterprise implementation.