/4 🔹 Continuous Integration - JUnit and Jenkins for automated testing. The code is packaged into a Docker image and deployed as microservices.
/6 🔹 The microservices are deployed on clouds. We have options among AWS, Microsoft Azure, or Google GCP.
🔹 Cache and Full-text Search - Redis is a common choice for caching key-value pairs. ElasticSearch is used for full-text search.
🔹 Cache and Full-text Search - Redis is a common choice for caching key-value pairs. ElasticSearch is used for full-text search.
/7 🔹 Communications - For services to talk to each other, we can use messaging infra Kafka or RPC.
🔹 Persistence - We can use MySQL or PostgreSQL for a relational database, and Amazon S3 for object store. We can also use Cassandra for the wide-column store if necessary.
🔹 Persistence - We can use MySQL or PostgreSQL for a relational database, and Amazon S3 for object store. We can also use Cassandra for the wide-column store if necessary.
/8 🔹 Management & Monitoring - To manage so many microservices, the common Ops tools include Prometheus, Elastic Stack, and Kubernetes.
/9 👉 Over to you: Did I miss anything? Please comment on what you think is necessary to learn microservices.
/10 I hope you've found this thread helpful.
Follow me @alexxubyte for more.
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