Your IT team probably has a lot on its plate. If you look at the size of your company, then allot a percentage of that to the amount of tasks that require technical support and attention, it’s more than likely a big percentage. In fact, if your business is one that delivers digital products and/or services, it’s all the more likely that IT as a whole takes up a large part of your central business functions.
In any case, big role or small, there are things about your IT team’s function that can be made easier — and with that comes the idea of introducing a microservices architecture into your existing business process.
Now, every solution has their upsides and downsides, but microservices are an adopted change that in most scenarios, businesses are glad to make. What’s more, the introduction of this approach to workloads does a lot to relieve your IT team of the high impact stressors that come with managing business process workloads. But how does it make your IT team’s life easier?
Here’s a big one that most people, IT or not, tend to love: microservices are able to be automated, in many cases with far better results than what can be accomplished in a different workload architecture. Microservices are single units of service, the most immutable pieces of a process that can be accomplished: in other words, a single application that can be defined on its own by one task or set of tasks within a process.
In most cases, it makes far better sense to automate a single task (or tasks) over the whole process — especially where some tasks are better handled manually to keep things running smoothly. Even a hybrid approach to task automation is possible when you have a microservices architecture in place to allow for it.
There’s more to a process than meets the eye. In many cases, though, a process that’s handled in a microservices architecture does a better job of showing users what’s happening at the most basic levels — each microservice having its own telemetry and various indicators to your IT team of what’s going wrong, as well as what’s going right. This level of inspection is beyond the capability of other architectures, which often don’t separate tasks with the level of detail that is necessary when things go haywire, meaning that your IT team actually has to work twice as hard to investigate the issue, and to find where it is in the system.
While dividing your business process into separate applications like this may seem counterintuitive for a holistic view of things, there’s a solution to this as well: a microservices orchestration engine is a robust platform that allows for this, as well as the automation of each task to suit the process. So even in a microservices architecture, there’s no reason to worry: you have the visibility you need to get the job done at every level.
Not only is it easier to identify and view each individual task’s performance under a structure like this, but microservices also make it easier to isolate issues to each individual application or container within the process. What this means is that the IT team won’t have to spend time first looking for the source of a technical problem: they’ll know where it originated, because each container’s input and output are independent of the others. They’ll also know how to solve it more quickly, because each container, each microservice, has prescribed fixes that work for their independent issues. By isolating your various tasks this way, you’re doing your team a big favor by reducing possible downtime during such troubleshooting sessions.
Your IT professionals don’t have to solve it all with microservices in place: instead, you can rely on experts for each container in kind, making it easier to have the best possible fixes and optimizations in place for every single microservice your process uses. An expert on each specific job, each specific application and task, can make your support team all the more robust, not to mention cost efficient.
No matter where you are in your business journey, change happens. This is sometimes even more true of the actual workload. With that in mind, it’s important to always be able to pivot, and with microservices, it’s far easier to manage resources in a way that’s scalable to each independent task, rather than focusing energy, time, and effort to an entire process without being able to scale to the workload in question. Whether it’s adding more of one particular container, or whether you’re scaling down the resources used in one microservice, it’s all easily manageable thanks to the way this structure divides the process.
It’s not wrong to think that all subprocesses are connected and somewhat interdependent — but in a microservices architecture, this is less of a hindrance to how work gets done, as it can often be more independent thanks to the isolation of each container. Microservices, be they manually operated or automated, are self-determined: the workload is processed within an independent container each time, only having to interact with the process once it moves to the next container via an API that connects the two.
It’s all the easier to make changes to machines that have what are called “interchangeable parts”. When you take out one carburetor and replace it with another in your vehicle, that’s the principle at play. So, too, can you benefit in the same way from “interchangeable parts” in a process that uses microservices. Microservices are, in fact, those parts: each one is a container that performs a specific task, but if you need to replace it with another app that does a better job of performing the same task, you have that option thanks to the design of this workflow type. With that in mind, it’s no wonder that microservices are a preferred business process type by IT teams everywhere — making changes easier than ever to manage!