What Is Kubernetes?
Kubernetes (K8s) is an open-source platform that automates the process of deploying, scaling, and managing your containerized applications. It scales containers up or down based on demand, self-heals by restarting crashed containers, balances loads to distribute traffic, and provides service discovery and networking across your apps. Kubernetes is a critical technology for cloud-native and microservices architectures.
What Is Microservices?
Microservices is a type of software architecture where you design a single, large application by building a suite of small, independent services that act as mini applications. Each service runs its own process and communicates with the other services through lightweight interfaces, usually APIs. The services are independently deployable, loosely coupled (where services don’t depend on each other), business-focused (where each service handles a separate function, like “Setup” or “Payments”), and technology flexible (where each service can use its own language, framework, and database).
One way to think about the difference in architecture is that a large, monolithic application is like a chef who cooks the entire meal. A microservices application is like many cooks running independent stations for the salads, main course, side, and dessert. They coordinate together on the finished meal.
How Does Kubernetes Help with Microservices Architecture?
A microservices architecture has dozens (and sometimes up to thousands) of small, independent services. Managing them manually can feel impossible. Kubernetes manages the containers they’re in, acting as the operating system that keeps all the services running.
Kubernetes helps microservices in several key ways:
- Service discovery and load balancing: Kubernetes provides a DNS (domain name system) and service objects that act like a phone book where Kubernetes can find a healthy instance of a service that it’s looking for.
- Independent scaling: Kubernetes helps you scale one part of the app without scaling the other parts, by monitoring each service and then automatically spinning up multiple copies of a service to handle traffic spikes.
- Self-healing and resilience: If a container crashes or the hardware it’s on dies, Kubernetes notices automatically, closes the dead or crashed container, and starts a new version on a healthy machine. This process keeps your application running.
- Zero-downtime deployments: You can update individual components without stopping your app.
- Environment consistency: Microservices often use different programming languages (Python, Java, and so on), frameworks, and hardware. By using containers, Kubernetes ensures that each service runs the same way on any machine.
- Configuration and secret management: Kubernetes helps you centrally manage API keys and database URLs for all your services.
Azul Prime and Kubernetes Microservices
In a Kubernetes environment, Java microservices often face high memory and CPU resource usage. Azul Prime is a high-performance JVM that’s specifically designed to eliminate these bottlenecks, making Java-based microservices more efficient and cost-effective within a cluster.
Here are a few ways that Prime helps you optimize your application:
- High-density pod packing: Kubernetes scales your application by adding more pods, but each Java pod typically requires a significant buffer of CPU and RAM to handle just-in-time (JIT) compilation and garbage collection. Azul’s Falcon JIT Compiler produces faster machine code, which allows each pod to handle more requests per second. You can run the same workload on fewer or smaller worker nodes, which can often reduce your cloud bills by 20–50%.
- Remove and reduce latency spikes: When a Kubernetes Horizontal Pod Autoscaler (HPA) triggers a new replica, a standard JVM has to “warm up” (re-compile the code into machine language), which causes latency spikes when you need performance. Azul’s ReadyNow! technology allows a microservice to persist its profile of optimized code. When a new pod starts, it uses the existing profile to instantly reach peak performance.
- Eliminate garbage collection pauses: Standard Java garbage collectors hit “stop-the-world” pauses, which cause microservice timeouts and trigger unnecessary Kubernetes health-check failures or circuit-breaker trips. Azul’s C4 (Continuously Concurrent Compacting Collector) performs all its work while your application is still running, which eliminates the latency tail and ensures that service-to-service communication is consistent and predictable.
To learn more about how Prime can provide you with a high-performance JVM, see Azul Prime: High Performance JVM.
