Building High-Throughput Data Microservices
With Gregory Green
Liked by 62 users
Duration: 1h 54m
Skill level: Advanced
Released: 10/10/2023
Course details
Microservices come with all kinds of great benefits. But they can be extremely difficult to manage well at scale. As organizations face the challenge of processing increasingly large volumes of data, they need to be able to build and maintain high-throughput data microservices. In this course, instructor Gregory Green covers the fundamental skills you need to know to meet today’s growing data demands with high-performance, scalable, high-throughput architectures.
Discover best practices for data patterns for throughput with flexible data services and multisite cloud-based use cases. Explore some of the most critical factors that affect high-throughput requirements, before diving deeper into antipatterns and the pros and cons of data technologies. Along the way, Gregory provides examples with RabbitMQ, Postgres, MySQL, Spring, and Apache Kafka, offering tips and pointers with hands-on demonstrations of how to design and implement successful, high-throughput data microservices.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Meet the instructor
Learner reviews
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Elena Pfleegor, MS, PhD ABD
Elena Pfleegor, MS, PhD ABD
Software Engineer | JAVA | C# | React | JavaScript | SQL | Git | CI/CD | LIQUIBASE | Linux | Azure | Kubernetes | DevOps | PowerShell | Matlab | AI…
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Jason K.
Jason K.
Spring 5+, Spring Boot 2+, React 17/18, MERN Stack, Jakarta EE / JAX-RS / JACKSON, Java 8/11/17, MongoDB, Kafka, Spring Security, Microservices…
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Contents
What’s included
- Test your knowledge 4 quizzes
- Learn on the go Access on tablet and phone
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