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We're here to help you find itThe Monitoring with Datadog certification is a formal recognition of an individual's proficiency in using the Datadog monitoring and analytics platform. Datadog is a cloud-based service that provides monitoring of servers, databases, tools, and services through a SaaS-based data analytics platform. It enables companies to monitor the performance of their applications, understand system behavior, and track key metrics. Industries use Datadog to ensure high availability and performance of their services, receive alerts on anomalies, and visualize data in real-time to make data-driven decisions. The certification demonstrates the holder's ability to configure, manage, and leverage Datadog for operational insight into their infrastructure and applications.
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
- Basic understanding of monitoring and cloud services
- Familiarity with Linux and Windows systems
- Experience with command-line interfaces and configuration files
- Fundamental knowledge of networking concepts
- Familiarity with at least one programming/scripting language
The Monitoring with Datadog certification training equips individuals with skills in real-time monitoring and securing applications, infrastructure, and cloud services. Topics include Datadog platform basics, setting up dashboards, alerts, log management, APM, and integration with various technologies. Participants learn to navigate and use Datadog for observability, maintaining system performance, and optimizing resource utilization. The course also covers best practices for executing effective monitoring strategies.
Learning Monitoring with Datadog improves system reliability by enabling real-time tracking of performance metrics and alerts, reduces downtime with proactive detection of issues, enhances cross-team collaboration, and optimizes resource usage for cost efficiency. These skills are valuable in maintaining high standards of service in IT environments.
- IT professionals interested in learning infrastructure monitoring
- DevOps engineers focusing on continuous integration and deployment
- System administrators seeking to improve system reliability
- Site Reliability Engineers (SREs) aiming to optimize service performance
- Cloud architects looking to monitor cloud services and resources
- Technical team leaders responsible for maintaining operational visibility
- Certified Instructor-led training
- Career enhancement with sought-after skills
- Tailored training programs to meet individual needs
- Unique destination training experience
- Cost-effective pricing options for all budgets
- Recognized as a leading training institute
- Flexible scheduling to accommodate learners' availability
- Convenient instructor-led online training sessions
- Comprehensive catalogue of courses across various domains
- Accredited training partner for recognized certification bodies
Upon completing Monitoring with Datadog certification training, an individual can gain skills in setting up and configuring Datadog, instrumenting applications to report metrics and events, creating and managing informative dashboards, setting up and managing alerts to monitor system health, utilizing log management features, and leveraging APM and tracing to analyze application performance. Additionally, they will become proficient in navigating the Datadog platform, synthesizing data from various sources, and using advanced features to troubleshoot and optimize IT operations.
Top companies hiring Datadog-certified professionals often include tech giants and firms emphasizing cloud services and DevOps practices. They are Amazon Web Services (AWS), Microsoft, Google, IBM, Atlassian, Salesforce, and Slack. These enterprises value the expertise in monitoring and analytics that Datadog certification represents.
The learning objectives of a Monitoring with Datadog course typically include enabling students to:
1. Understand the fundamentals of real-time monitoring and alerting with Datadog.
2. Learn to navigate and utilize the Datadog dashboard effectively.
3. Configure and manage data from servers, containers, and other infrastructure components.
4. Set up monitoring for applications, performance metrics, and establish alerting systems.
5. Create and customize interactive visualization tools like graphs and dashboards for data analysis.
6. Integrate Datadog with various services and platforms for extensive monitoring.
7. Implement best practices for monitoring and alert management to ensure system reliability and performance.
