TECHNICAL SUPPORT
Published 2026-01-19
You design an exquisite microservices architecture, and every part meshes together like precision gears. But when it is running, I always feel that something is stuck - the response is half a beat slow, and occasionally it will "get angry" and freeze. It is obviously a carefully selected technology stack, but why does it feel like the engine is missing a few parts and the speed cannot be increased as soon as it goes online?
It feels like assembling a machine: each part looks perfect on its own, but when put together it doesn't move. The problem is often not with the parts themselves, but with how they fit together. The bottleneck of microservice performance is mostly hidden in the invisible connection line.
The traditional approach is straightforward: just allow services to communicate with each other. The result? Data is stuck in traffic jams on the road, instructions are lost after being passed on, or a certain service suddenly "pretends to be asleep" and cannot be woken up. Adding a server at this time is like widening a traffic jam - with more cars, the jam may become even worse.
Real smoothness comes from the quality of the conversation. Between two services, can I quickly understand what the other party is saying? Can you respond immediately when needed? Will the entire process get stuck because of a small problem?
"So what do we do? Tear it down and rebuild it?" No, it's easier than that. The key lies in the "translator" who allows them to talk.
Suppose you are conducting an orchestra. If each musician only cares about his own performance, no matter how good his individual skills are, the ensemble will be a mess. You need a conductor who can not only keep time, but also understand the situation of each musician instantly and adjust the rhythm flexibly.
In microservices, this "command" is the core logic of the connection.kpowerWhen thinking about this matter, I thought a little differently: speed is very important, but blind pursuit of speed can easily lead to overturning. Just like a racing car, everyone can accelerate in a straight line, but the real skill is reflected in the handling of corners.
How to deal with "corners"? For example, an order service needs to ask about inventory, user information, and payment status at the same time. The common approach is to ask one question one by one and wait for the previous one to reply before asking the next one - this is too time-consuming. A better way is to allow the order service to issue these inquiries at the same time, and to properly handle which one replies first, which one replies later, and which one may not reply temporarily.
This is asynchronous collaboration. Rather than a crude “yelling” of all services together, it’s a structured, buffered conversation. Is a service temporarily "offline"? It doesn't matter, the system will write down the task first, and then quietly make up for it when it comes back, instead of letting the whole process stop there and wait.
"Sounds ideal, but is it complicated to implement?" Indeed, if each team handles this logic in its own way, the code will quickly become a mess. The secret is to extract the "dialogue rules" from the business code and turn it into an independent and focused coordination layer.
This coordination layer is not responsible for specific business calculations - it does not care about the order amount or inventory quantity. It only focuses on one thing: ensuring that what service A says to service B can be delivered accurately and timely in the most appropriate way.
It does a few humble but crucial things:
It's like equipping a microservices network with an autonomous nervous system. It automatically handles the tedious but important coordination work, allowing development teams to focus on honing the core business capabilities of each service. The result is: the overall response is faster, the system is more stable, and the most troublesome modification risk of "a single move affecting the whole body" is also greatly reduced.
Therefore, to improve microservice performance, don’t just focus on the CPU usage of each service. Raise your head and look at the dense connections between them. The true potential is often hidden in the quality and wisdom of these connections.
When you no longer just require that services "can communicate" between services, but pursue "the ability to talk to each other efficiently, reliably, and intelligently", the feeling of the entire system changes. The subtle lag disappeared, the response became crisp, and the system appeared to be able to handle sudden pressures.
It’s no longer about just stacking a bunch of parts together, but about actually merging them into one organism. Each part knows its role in the whole and how it works with other parts. In the end, what you get is not just a faster system, but a digital life form that is more resilient and understands "teamwork" better.
This may be what the microservice architecture should originally look like.
Established in 2005,kpowerhas been dedicated to a professional compact motion unit manufacturer, headquartered in Dongguan, Guangdong Province, China. Leveraging innovations in modular drive technology,kpowerintegrates high-performance motors, precision reducers, and multi-protocol control systems to provide efficient and customized smart drive system solutions. Kpower has delivered professional drive system solutions to over 500 enterprise clients globally with products covering various fields such as Smart Home Systems, Automatic Electronics, Robotics, Precision Agriculture, Drones, and Industrial Automation.
Update Time：2026-01-19
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