Backend Development 29 min read

Backend Architecture and Component Selection for Startup Companies

This article outlines a comprehensive backend technology stack for startups, detailing four layers—languages, components, processes, and systems—and provides practical guidance on selecting project management tools, DNS, load balancers, CDNs, RPC frameworks, databases, messaging, logging, monitoring, configuration, deployment, and security solutions.

Architect
Architect
Architect
Backend Architecture and Component Selection for Startup Companies

Introduction – The article discusses the importance of building a backend architecture for startup companies and defines the four layers of a backend stack: programming languages, components, processes, and systems.

Backend Stack Overview – A diagram (Fig.1) illustrates the stack, and Fig.2 shows its structure.

Component Selection – Detailed recommendations are given for each category:

Project/Bug management: Redmine, Phabricator, Jira, Wukong CRM.

DNS: Alibaba Wanwang, Tencent DNSPod, Amazon Route 53.

Load Balancer: Cloud provider LB (SLB, CLB, ELB) or LVS+Nginx.

CDN: Domestic providers (Wangsu, Tencent, Alibaba) and overseas (Amazon CloudFront, Akamai).

RPC frameworks: cross‑language (Thrift, gRPC, Hessian, Hprose) and service‑governance (Dubbo, DubboX, Motan, rpcx).

Service discovery: etcd, Consul, ZooKeeper.

Databases: Traditional (MySQL/MariaDB, Oracle, PostgreSQL) and NewSQL (TiDB, CockroachDB).

NoSQL types: key‑value, column‑family, document, graph.

Message middleware: Kafka, RocketMQ, RabbitMQ, etc.

Logging: ELK stack (Elasticsearch, Logstash, Kibana, Filebeat).

Monitoring: Prometheus + Grafana, Zabbix, Open‑Falcon.

Configuration management: ZooKeeper/etcd or push‑based tools (Puppet, Ansible).

Release & deployment: Jenkins, GitLab CI, Walle, etc.

Jump server: Jumpserver.

Machine management: Ansible, SaltStack, Puppet, Chef.

Startup‑Specific Advice – Choose languages familiar to the team, prefer mature open‑source components, rely on reliable cloud services, establish clear development, release, and operations processes, and automate where possible.

Cloud‑Based Architecture – Combining the selected components on a cloud provider yields the final architecture diagram (Fig.10).

References – A list of URLs to documentation and articles is provided at the end of the original text.

BackendarchitectureCloudComponentsstartupTechnology Stack
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Professional architect sharing high‑quality architecture insights. Topics include high‑availability, high‑performance, high‑stability architectures, big data, machine learning, Java, system and distributed architecture, AI, and practical large‑scale architecture case studies. Open to ideas‑driven architects who enjoy sharing and learning.

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