What Are the Essential Technology Tools for Building Microservices?

Overview

When a new project starts, an architect must bridge business requirements and technical implementation, performing business modeling and technical design based on distinct knowledge systems that combine theory, concepts, methods, and concrete tools.

Technology Directions

The series introduces possible technology directions encountered in microservice practice, presenting them in a top‑down manner rather than focusing on a single technology.

Technology Panorama

The author divides microservice technology into four parts:

Microservice Management : core distributed system implementation.

Storage Technology : related to big data, AI, and other large‑scale systems.

Business Support : technologies used during business implementation that are not generic microservice components.

DevOps : automation practices encouraged by agile and microservice design.

Technology Tools

The following sections list representative tools for each technology direction, providing a reference framework for future articles.

Microservice Management

Content Publishing – CDN, distributed storage

Remote Procedure Call – RPC, RMI, JMS, AMQP

Service Discovery – DNS, Zookeeper, Spring Eureka, Spring Consul, ETCD, Redis

Service Registration – DDNS, Zookeeper, Spring Eureka, Spring Consul

Gateway – Zuul, Kong, Nginx Plus, OpenResty, Spring Cloud Gateway

Load Balancing – LVS, Nginx, F5

High Availability – HAProxy, keepalive

Service Orchestration – Netflix Conductor, Uber Cadence, Zeebe, In‑Bank Baker, Spring Cloud Zuul, Node‑RED, ApiConfig

Configuration Management – Spring Config, Apollo, Git, Nginx, Consul, Netflix Archaius

Distributed Task Management – XXL‑Job, Elastic‑Job

Asynchronous Tasks – AMQP, Spring Cloud, Dubbo

Caching – Redis, Memcache, MySQL Memory DB, H2

Front‑Back Separation – Swagger, API Gateway

Service Degradation – Dubbo, Spring Cloud Hystrix

Rate Limiting – Dubbo, Spring Cloud Hystrix

Circuit Breaking – Dubbo, Spring Cloud Hystrix

Failure Recovery – Docker, Swarm, Kubernetes

Transaction Management – Seata, Fescar, GTS, Narayana

Dynamic Election – Zookeeper

User Management – authentication, authorization, billing, session handling

OpenAPI – Kong, Apigee

Object Storage – MinIO, Riak CS (Amazon S3 compatible), Ceph

Event‑Driven – EventBus, Spring Event

Concurrent Processing – Akka, Actor model

Global Unique IDs – UUID, SetNX, Snowflake algorithm

Rule Engine – Drools

Storage Technology

Structured Data – PostgreSQL (MySQL not recommended)

Semi‑structured Data – Redis, MongoDB

Unstructured Data – HDFS, MFS, FastDFS

Business Support

LBS – no open‑source solution

AI – (general reference)

Big Data – (general reference)

Full‑text Search – Lucene

Static Site Generation – Freemarker

Intelligent Recommendation – Mahout

User Tracking – no open‑source solution

IDaaS – not found

SEO/SEM – not found

Web Crawling – Python

Feature Flags – Flagr, Togglz, FF4J, Fitchy, Flip

Tenant Management – MyBatis‑Plus, Citus, MyCat

Third‑Party Payments – requires aggregation

Visualization – Hue, Impala, DataDeck, Tableau, Redash, Metabase, Superset

Data Visualization – Tablesaw, Processing

Visual Programming – CoatiSoftware, Sourcetrail

Visualization Widgets – ECharts, D3.js, Tableau

Front‑End Low‑Code – dozens of visual builders

Information Push – no open‑source solution

Quality

Code Scanning

Automated Testing

Chaos Experiments – ChaosBlade, Chaos Monkey

DevOps

Runtime Environment – Terraform (IaC)

Upgrade – Flagr

Deployment – Puppet, Chef, Ansible, SaltStack

Version Control – SCM

Log Management – ELK, Flume

Monitoring – Zabbix, Nagios, Open‑Falcon

Visualization – global visualization system

Continuous Delivery – Spinnaker

Metric Monitoring – Telegraf, InfluxDB, Grafana

Application Performance – load balancer usage

Tracing – Zipkin, Pinpoint, SkyWalking

API Management – Swagger, YAPI, RAP2

Conclusion

The article presents a complete taxonomy of technologies for distributed systems, microservices, and SOA, enabling architects to conveniently select optimal tools for their business systems.