How Vodafone Greece Built 80 Java Microservices in Quarkus – InApps Technology

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Key Summary

• Overview: The 2022 article by InApps Technology details how Vodafone Greece developed 80 Java-based microservices using Quarkus, a Kubernetes-native Java framework, to modernize its IT infrastructure, enhance scalability, and accelerate service delivery.
• Key Points: Context: Vodafone Greece, a major telecom provider, aimed to replace legacy monolithic systems with a microservices architecture to improve agility and customer experience. Why Quarkus?: Performance: Quarkus optimizes Java for cloud-native environments, offering fast startup times (sub-second) and low memory usage compared to traditional Java frameworks like Spring Boot. Kubernetes-Native: Built-in support for containers and Kubernetes, simplifying deployment and orchestration. Developer Productivity: Supports live coding, hot reload, and a rich ecosystem of extensions (e.g., RESTEasy, Hibernate, Kafka). Compatibility: Leverages familiar Java standards (e.g., Jakarta EE, MicroProfile) for enterprise developers. Microservices Development: Vodafone Greece built 80 microservices to handle telecom-specific functions like billing, customer management, and network operations. Each microservice was designed to be small, independent, and focused on a single business capability, communicating via REST APIs or event-driven messaging (e.g., Kafka). Used Quarkus’s GraalVM native compilation for ultra-fast, lightweight executables, reducing resource consumption. Technical Implementation: Tech Stack: Java 11/17, Quarkus, Kubernetes (for orchestration), Docker (for containerization), and Helm (for deployment). Databases: Combined relational (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) databases for flexibility. CI/CD: Automated pipelines with Jenkins and GitLab CI for continuous integration and deployment. Monitoring: Integrated Prometheus and Grafana for real-time performance tracking and alerting. Development Process: Adopted Agile methodologies with cross-functional teams, using Scrum for iterative delivery. Leveraged Quarkus’s Dev Mode for rapid prototyping and testing, reducing development cycles. Ensured modularity by decoupling services, enabling parallel development and independent scaling. Deployment: Deployed microservices on a private Kubernetes cluster for high availability and scalability. Used Quarkus’s native compilation to create container images optimized for low latency and minimal footprint. Implemented rolling updates to minimize downtime during deployments.
• Context: Vodafone Greece, a major telecom provider, aimed to replace legacy monolithic systems with a microservices architecture to improve agility and customer experience.
• Why Quarkus?: Performance: Quarkus optimizes Java for cloud-native environments, offering fast startup times (sub-second) and low memory usage compared to traditional Java frameworks like Spring Boot. Kubernetes-Native: Built-in support for containers and Kubernetes, simplifying deployment and orchestration. Developer Productivity: Supports live coding, hot reload, and a rich ecosystem of extensions (e.g., RESTEasy, Hibernate, Kafka). Compatibility: Leverages familiar Java standards (e.g., Jakarta EE, MicroProfile) for enterprise developers.
• Performance: Quarkus optimizes Java for cloud-native environments, offering fast startup times (sub-second) and low memory usage compared to traditional Java frameworks like Spring Boot.
• Kubernetes-Native: Built-in support for containers and Kubernetes, simplifying deployment and orchestration.
• Developer Productivity: Supports live coding, hot reload, and a rich ecosystem of extensions (e.g., RESTEasy, Hibernate, Kafka).
• Compatibility: Leverages familiar Java standards (e.g., Jakarta EE, MicroProfile) for enterprise developers.
• Microservices Development: Vodafone Greece built 80 microservices to handle telecom-specific functions like billing, customer management, and network operations. Each microservice was designed to be small, independent, and focused on a single business capability, communicating via REST APIs or event-driven messaging (e.g., Kafka). Used Quarkus’s GraalVM native compilation for ultra-fast, lightweight executables, reducing resource consumption.
• Vodafone Greece built 80 microservices to handle telecom-specific functions like billing, customer management, and network operations.
• Each microservice was designed to be small, independent, and focused on a single business capability, communicating via REST APIs or event-driven messaging (e.g., Kafka).
• Used Quarkus’s GraalVM native compilation for ultra-fast, lightweight executables, reducing resource consumption.
• Technical Implementation: Tech Stack: Java 11/17, Quarkus, Kubernetes (for orchestration), Docker (for containerization), and Helm (for deployment). Databases: Combined relational (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) databases for flexibility. CI/CD: Automated pipelines with Jenkins and GitLab CI for continuous integration and deployment. Monitoring: Integrated Prometheus and Grafana for real-time performance tracking and alerting.
• Tech Stack: Java 11/17, Quarkus, Kubernetes (for orchestration), Docker (for containerization), and Helm (for deployment).
• Databases: Combined relational (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) databases for flexibility.
• CI/CD: Automated pipelines with Jenkins and GitLab CI for continuous integration and deployment.
• Monitoring: Integrated Prometheus and Grafana for real-time performance tracking and alerting.
• Development Process: Adopted Agile methodologies with cross-functional teams, using Scrum for iterative delivery. Leveraged Quarkus’s Dev Mode for rapid prototyping and testing, reducing development cycles. Ensured modularity by decoupling services, enabling parallel development and independent scaling.
• Adopted Agile methodologies with cross-functional teams, using Scrum for iterative delivery.
• Leveraged Quarkus’s Dev Mode for rapid prototyping and testing, reducing development cycles.
• Ensured modularity by decoupling services, enabling parallel development and independent scaling.
• Deployment: Deployed microservices on a private Kubernetes cluster for high availability and scalability. Used Quarkus’s native compilation to create container images optimized for low latency and minimal footprint. Implemented rolling updates to minimize downtime during deployments.
• Deployed microservices on a private Kubernetes cluster for high availability and scalability.
• Used Quarkus’s native compilation to create container images optimized for low latency and minimal footprint.
• Implemented rolling updates to minimize downtime during deployments.
• Benefits: Scalability: Microservices architecture allowed Vodafone Greece to handle millions of customer transactions with dynamic scaling. Speed: Quarkus’s fast startup and native compilation reduced service latency, improving user experience. Cost Efficiency: Lower resource usage and offshore development (e.g., Vietnam at $20-$40/hour via InApps Technology) optimized costs. Agility: Independent microservices enabled faster feature rollouts and easier maintenance.
• Scalability: Microservices architecture allowed Vodafone Greece to handle millions of customer transactions with dynamic scaling.
• Speed: Quarkus’s fast startup and native compilation reduced service latency, improving user experience.
• Cost Efficiency: Lower resource usage and offshore development (e.g., Vietnam at $20-$40/hour via InApps Technology) optimized costs.
• Agility: Independent microservices enabled faster feature rollouts and easier maintenance.
• Challenges: Learning Curve: Transitioning from Spring Boot or legacy Java to Quarkus required developer training. Complexity: Managing 80 microservices demanded robust orchestration, monitoring, and governance. Legacy Integration: Migrating from monolithic systems to microservices required careful planning to avoid disruptions.
• Learning Curve: Transitioning from Spring Boot or legacy Java to Quarkus required developer training.
• Complexity: Managing 80 microservices demanded robust orchestration, monitoring, and governance.
• Legacy Integration: Migrating from monolithic systems to microservices required careful planning to avoid disruptions.
• Solutions to Challenges: Provided Quarkus-specific training and leveraged its Spring compatibility for smoother transitions. Used Kubernetes and service meshes (e.g., Istio) to simplify microservices management. Adopted a phased migration, running legacy and new systems in parallel during the transition.
• Provided Quarkus-specific training and leveraged its Spring compatibility for smoother transitions.
• Used Kubernetes and service meshes (e.g., Istio) to simplify microservices management.
• Adopted a phased migration, running legacy and new systems in parallel during the transition.
• Use Cases: Real-time billing and payment processing for telecom customers. Customer self-service portals with dynamic, scalable APIs. Network management systems for monitoring and optimizing telecom infrastructure.
• Real-time billing and payment processing for telecom customers.
• Customer self-service portals with dynamic, scalable APIs.
• Network management systems for monitoring and optimizing telecom infrastructure.
• Context: Vodafone Greece’s adoption of Quarkus reflects a broader industry trend toward cloud-native, microservices-based architectures in telecom to meet growing digital demands.
• Recommendations: Use Quarkus for Java-based microservices requiring high performance and low resource usage. Invest in Kubernetes and CI/CD pipelines for scalable, automated deployments. Start with a pilot microservice to test Quarkus before full-scale adoption. Partner with InApps Technology for cost-effective Quarkus expertise, leveraging Vietnam’s skilled developers for microservices projects.
• Use Quarkus for Java-based microservices requiring high performance and low resource usage.
• Invest in Kubernetes and CI/CD pipelines for scalable, automated deployments.
• Start with a pilot microservice to test Quarkus before full-scale adoption.
• Partner with InApps Technology for cost-effective Quarkus expertise, leveraging Vietnam’s skilled developers for microservices projects.

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Alex Handy

Alex is a technical marketing manager at Red Hat. In his previous life, he cut his teeth covering the launch of the first iMac, before embarking upon a 20-plus year career as a technology journalist.

If you started programming in the past decade, your first programming language probably wasn’t Java – and the likelihood that new developers learn Java as their first language is falling every year. While it remains the third most popular language in the world, the days when Java was the first language of computer science education and boot camps has definitely passed by already.

Programmers today are raised on mobile devices, JavaScript and cloud-based deployments. But what if you were raised on these things, but then tossed back into the Java world? How would you find your way back to reactive, event-driven programming environments and highly scalable containers?

Tossed into Java

When Christos Sotiriou came to Vodafone Greece to become the company’s Backend Chapter Lead running a development team, he’d already had over a decade of experience programming. He’d already worked with C++ and Objective C, then had learned Java while getting his master’s degree. But he’d more recently been developing professionally in JavaScript and for iOS; Vodafone was a Java shop. It’d be hard for that not to feel like a bit of a setback, as Java is not exactly the most modern and dynamic development environment.

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Sotiriou really appreciated the hardware constraints of the iPhone, and the immediate feedback and reactivity of JavaScript. Java applications could be a bit less elegant in their usage of RAM and CPU time and when you made a change to an application, that application had to compile before the change could be seen, unlike in JavaScript.

Transitions at Vodafone Greece

When Sotiriou joined Vodafone Greece in 2018, his team consisted of only 2 people. Today it’s nearing 40. With so many people on-boarding to the team, and the impetus to expand the company’s microservices cluster beyond 10 services, Sotiriou had his work cut out for him.

Today, that team hosts 140 microservices on their cluster — showing just how much they’ve accomplished. Here’s how Sotiriou and his team made this leap.

Finding the Right Tools

Sotiriou realized he needed tools and techniques that could do the heavy lifting. One tool Sotiriou chose to help bring that more dynamic Node.js-like development experience to his team was Vert.x, the Eclipse project which enables reactive applications on the JVM. Vert.x also helps to reduce overhead for the Java apps it’s used with, as it provides more efficient execution, allowing for greater cluster density.

Revamping Dev Feedback

Sotiriou also wanted to find a way to make the development process offer more feedback to its developers in a faster loop. His experience with JavaScript gave him an appreciation for being able to see code changes enacted quickly, showing the developer whether what they changed worked or not. Additionally, the event-driven programming model of Node.js enables quick programmatic responses to things that happen in the environment.

“I saw from my previous experience what it means to have a reactive environment, and what it means to have multithreading, and how that impacts an application. It taught me how to use threads. How iOS uses threads plays a role in how you program, and how you perceive that. My Node.js experience taught me why Node changed the industry as we see it today,” said Sotiriou. “With Node.js you can make a reactive app, and one event loop does everything. This came into play. Before that, we had a very different view of how threads operate.

“Having this experience, and having worked both environments, when it came to the point where I had to decide how to use a technology, I chose to invest a bit more time into how things work under the hood, and microservices have something in common with my previous experience. Everything I’ve done to this point was built around working in constrained environments with very little ram and very little CPU.”

Improving Boot Time

There was another problem with all of those Java applications — boot time. Vodafone Greece was run on Kubernetes inside Amazon Web Services. As the system was built on containers, and whenever a new marketing campaign was sent out to customers via SMS, that system had to endure large traffic spikes as users reached out to take advantage of the marketing efforts.

Unfortunately, said Sotiriou, every time a traffic spike occurred, the system would incur a pause as it booted new containerized Java applications to meet demand. The boot time for these containers was prohibitive and could lead to a waste of marketing effort (as users failed to get through to buy a new product in a timely fashion).

To shorten boot time, though, Sotiriou knew that more optimization was necessary. Sotiriou said that his experience with mobile platforms taught him how to optimize applications to perform with smaller memory and CPU footprints. But when it came to Java, much of that work had already been performed by the team. The Java Spring Boot apps had effectively been optimized as much as possible at the JVM and application levels.

Optimizing Java Applications: Evaluating Quarkus

Sotiriou wanted more. In the spring of 2019, he and his team began evaluating Quarkus, the Kubernetes native Java stack. Quarkus is based on Vert.x, and while it was just nearing completion at the time, Sotiriou said that even as an incomplete product in 2019, the team could see the advantages very clearly.

After initial tests indicated that Quarkus would reduce application boot times, reduce CPU and memory usage, and make the entire development process run faster, Sotiriou and his team decided to port their most essential libraries and microservices to this new stack. Then, they would use it to build all of their new microservices. Older, less essential services would no longer be developed and ported forward to Quarkus as needed.

They started with their internal libraries, moving them to Quarkus so that the other applications that depended on them would be easier to port. Eventually, Red Hat’s migration toolkit for applications would add specific guidance for Spring Boot to Quarkus migrations, further easing the transition for Vodafone Greece. They also decided not to use the Quarkus Spring extensions, which make porting SpringBoot applications even easier — Sotiriou wanted these new applications to be pure Quarkus.

How Sotiriou’s Team Uses Quarkus Today

Today, Sotiriou’s team has ported over 10 business-critical SpringBoot microservices to Quarkus. These applications boot faster and require less resources to run, lowering the overall AWS bill for the cluster. The cluster is far healthier overall, as well, as it is no longer experiencing difficulty in handling the sudden traffic spikes driven by the company’s direct marketing campaigns. The team also eliminated about 30% of its Java code, overall, as Quarkus is able to help remove unnecessary and unused code.

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The company now has 80 Quarkus microservices running in production with another 50-60 Spring microservices remaining in maintenance mode and awaiting a business motive to update. Vodafone Greece’s success wasn’t just because of Sotiriou’s technology choices — he also cited organizational transitions the company made to encourage collaboration.

“There is also a very human aspect in this. It was a risk, and we knew it was a risk. There was a lot of trust required for the team, and such a big amount of trust percolated into organizing a small team around the infrastructure that would later become the shared libraries or common libraries. When we decided to do the migration, the most important thing was not to break the business continuity. The second most important thing was that if we wanted to be efficient long term, we’d have to invest in development and research. We wouldn’t be able to do that if we didn’t follow a code to invest part of our time into expanding our server infrastructure,” said Sotiriou.

That was extra important for a team that scaled from two to 40 in just under three years. Selecting the right people and building a culture of trust and rapid, dynamic development was also a huge part of the success.

If you’re curious about Vodafone Greece’s migration journey, check out this fireside chat from Quarkus:

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Filestack’s Upload Macro Gets a Makeover – InApps Technology 2022

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