TECHNICAL SUPPORT
Published 2026-01-19
Imagine you are debugging a complex multi-axis robotic arm. The servo motor of each joint must respond accurately, and the steering gear angle cannot have the slightest deviation. The hardware cooperates perfectly, but when you throw the control instructions into the pile of microservices - a certain interface is suddenly delayed, the logs are scattered in different containers, and when a new version is deployed, the whole system shakes. It felt like there was gravel stuck between the gears.
Many teams have experienced this moment. The hardware runs stably, but the software architecture brings unexpected "vibrations" from time to time. The problem is often not the technology itself, but how we make these technologies work together.
We love the flexibility that microservices bring. Each service can be developed, deployed, and expanded independently, just like an independent drive unit for each module of a mechanical system. But the reality is often not so ideal: calls between services are complicated, monitoring is scattered, and the deployment process is too long to make people impatient. Even more troubling is that the hardware team and the software team sometimes seem to be speaking in two languages - one side is concerned about response time and torque accuracy, and the other side is discussing API gateways and load balancing.
This is not just a technical problem, but a lack of a collaborative culture. You need more than just tools, you need a way to get everyone pulling in the same direction.
In a good mechanical system, every component knows what it should do and when. The same should be true for microservice architecture. DevOps culture is born for this kind of collaboration, but it often stays at the conceptual level and is difficult to implement.
A truly useful DevOps culture should be like a carefully tuned transmission system: development, testing, deployment, and monitoring—each link is closely linked, and feedback is immediately visible. When an abnormality occurs in a certain service, you can locate it as quickly as detecting motor overheating; every time code is submitted, there is a clear process guarantee like calibrating the angle of the servo.
But how to get started? A lot of teams are stuck here. I read a lot of documents and tried a few tools, but I always felt like something was missing.
Don’t try to change everything overnight. Just like debugging a mechanical system, you start with a critical component.
Choose the service that causes the most problems, or the interface that interacts with the hardware the most. Establish a complete pipeline for it: code submission automatically triggers testing, testing automatically builds the image, and automatically runs integration checks after deployment. Run this process smoothly and let the team see the changes with their own eyes - problem feedback is shortened from days to hours, and deployment is completed from manual operations to one-click completion.
The experience is contagious. Other teams see the results and start asking, “Can we do the same?”
At this time, what you need is a platform that can support this way of working. It should be simple enough not to add burden, yet powerful enough to adapt to complex scenarios. It has to allow those who write code and those who adjust motors to find a common working language.
Tools should not be constraints. A good tool should be like a handy wrench. You can barely feel it when you use it, but it does make your work more precise.
existkpower, we have seen too many teams struggle with tools. Everyone uses different scripts, the deployment steps rely on someone's notebook, and the monitoring data is scattered in seven or eight panels. This confusion often consumes more energy than actually solving the problem.
So, when we build, we think about "reducing friction." Make environment configurations consistent, visualize the deployment process, and allow logs and metrics to be naturally aggregated. Not to pursue cool technical indicators, but to allow the team to focus back on what really matters: making a reliable product.
Q: Our team is not large, do we need such a complicated process? Being small doesn't mean you can skip specifications. On the contrary, small teams cannot withstand unexpected downtime. Simple automated processes can prevent many "manual errors." The key is not how complex the process is, but whether it matches your actual pace.
Q: The hardware team and the software team have different working models. How to coordinate? Try to establish common "checkpoints." For example, when the hardware interface is updated, the test of related services is automatically triggered; when the microservice releases a new version, the hardware test cases are updated simultaneously. It is not about forcing uniform working methods, but ensuring that information flows naturally at key nodes.
Q: What should I do if the risk of transforming the existing system is too high? No one is asking you to reinvent the wheel. Start with edge services and manage them in new ways while maintaining compatibility with core systems. Over time, you will naturally find opportunities to migrate. Mechanical system maintenance also pays attention to "online replacement" and is gradually upgraded without stopping the business.
Ultimately, what we are pursuing is a state where the reliability of the system no longer relies on heroic personal efforts, but becomes the natural result of every link. Just like a well-designed mechanical device, smooth operation is not an accident. It is inevitable that every component and connection has been carefully considered.
In this state, the team can focus more on innovation—trying new controls, hardware response curves, and designing more elegant user interactions. Technical debt is reduced, and the space for creativity naturally increases.
The combination of microservices and DevOps culture is never just a matter of technology selection. It's about how teams think, how they collaborate, and how they break down complex systems into manageable and organically connected parts. When you find that balance point, you will find that code and machinery actually follow the same beauty of precision.
Change starts with small, continuous adjustments. Just like every small angle correction of the servo motor, the accumulation is a more accurate motion trajectory. Is your team ready for your next calibration?
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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