The hottest Software Architecture Substack posts right now

XML was once believed to be the future, but turned out to create technical debt instead.
Following every hype blindly in technology can lead to failed projects and waste of money.
Using the right tool for the right job is crucial in software development, avoiding unnecessary complexity and costs.

Single Tenant Architecture provides each customer their own independent database and software instance, offering security and customization like living in a detached house.
Multi-Tenant Architecture is akin to an apartment building where multiple tenants share common infrastructure, allowing for economies of scale but potentially limiting customization.
Single Tenant architecture is known for high user engagement, control, and stability, while Multi-Tenant architecture favors compliance, security, and quick onboarding for better scalability.

Good data engineers strive for automation to be as lazy as possible.
Reevaluate the necessity of tools in the data stack and aim for streamlined, efficient systems.
Declarative paradigm and proper architecture design are crucial for data engineers to optimize efficiency and consistency.

Location matters: Place software close to clients for faster response times using CDNs, edge computing, or geo-replication.
Cache wisely: Optimize speed by using in-memory caching, database caching, or web caching to avoid repeated actions.
Async is key: Improve efficiency with asynchronous processing through message queues, event-driven architectures, or microservices.

Monolith architecture involves building and maintaining all components together, requiring a full rebuild when changes are made.
Microservices architecture deploys and maintains different parts of the system independently, allowing for scalability and flexibility but requiring careful planning.
Monoliths offer simplicity and easier testing, while Microservices provide scalability and quicker deployment but demand more setup effort and planning.

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Building timelines can be frustrating due to lack of ideal tools like Gantt charts or whiteboarding tools.
C4 Diagrams are a great visual language to discuss software architecture for TPMs and PMs.
There is a desire for an all-in-one tool to manage product development, simplifying the use of multiple tools like Slack, Linear, Coda, Figma.

As projects grow, you may need multiple teams to handle different components, changing how you work from being in one team to collaborating across teams.
Conway's Law emphasizes that a system's design structure mirrors the organization's communication structure, highlighting the importance of how teams interact when developing a project.
Learning about the risks in current software architecture design approaches can help in adapting and improving your skills for dealing with larger project scopes.

Milestones are crucial in project planning to keep things on track.
Understanding software architecture patterns is key for a TPM.
During interviews, focus on how candidates rebound from failure to assess true strengths.

Avoid creating Lambda monoliths to improve performance and cost efficiency.
Be cautious of Lambdas calling other Lambdas to prevent increased costs and potential bottlenecks.
Design Lambdas to be idempotent to avoid data duplication and ensure system reliability.

Data requires a source of truth that microservices cannot inherently provide without a shift in software engineering practices
Not all data is equally valuable, so treating all data as microservices can be costly and restrictive
The data development lifecycle differs from software development, requiring flexibility, reuse, and tight coupling that conflict with typical microservices architecture