Imagine a building infrastructure constructed of separate, foundational columns. Each column works together with the others to carry the load of the structure. Any damage to one particular column can be repaired and addressed without compromising the entire structure, and new columns can be erected quickly without impacting the others. Microservices architecture adheres to the same idea. Microservices allow developers to break applications or monolithic code into smaller, autonomous services that work seamlessly together via well-defined APIs. The use of microservices architecture is gaining popularity for good reason. Smaller, more bite-sized services present several benefits for any development team. Read on to understand what there is to gain by adopting this architecture.
Why Use Microservices Architecture?
- Agility And Speedy Launches
Launching microservices is a lower developmental lift than monolithic structures. This architecture allows separate teams to work on separate features or functions (and with independent tech stacks) in parallel rather than waiting for the pass of the baton. This efficient workflow speeds up the process and promotes quicker launches.
- An Increase in Scalability
Want to scale certain features of your application? Thanks to a flexible microservices architecture, this requires no downtime and none of the larger code getting involved. Microservices can be scaled up independently of the larger application, requiring minimal resources and less infrastructure.
- Encourages More Innovation
With easier development comes less risk when trying something new. This architecture allows teams to quickly scale up and down new features depending on their effectiveness and efficiency without much effort or consequence. The result? Innovation is free to run wild, and your application stays ahead of the competition.
Some Drawbacks To Consider
Microservices architecture has its downside too. With so many moving, independent pieces functioning under different tech stacks comes an increased level of complexity. Whether it’s locating bugs and defects or managing compatibility between APIs, resolving issues may not always be a straightforward process. Other cons to consider include increased stress on your network, more data to manage, and a requirement for more resources overall. As a result, this architecture may be better suited for larger organizations.
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