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How a converged database can simplify DevOps for microservices

Sanjay Narvekar
Principal Product Manager, Oracle Cloud Infrastructure

Microservices offer tremendous benefits in enterprise application development. They’re flexible, scalable, and organized around individual business capabilities. However, typical architectures require multiple database types, technologies, data transfers, and maintenance procedures, leading to complexity, data inconsistency issues, and high costs.

A converged Oracle Database on Oracle Cloud Infrastructure (OCI) and Helidon framework provides a unified architecture to streamline development of microservices-based enterprise applications that are agile, scalable, and robust. Adding Oracle Autonomous Database to the mix frees up even more IT resources to focus on value-generating initiatives.

Microservices create unique DevOps challenges

The key challenges DevOps teams face when creating and implementing microservices center around the need for a polyglot persistence strategy—working with multiple data types and processes, such as numeric, spatial, analytical, documents, graphs, and events. Typically, each data type and process is contained in a purpose-built database, which makes data governance and transaction across microservices complex.

Also, DevOps developers must use different frameworks and different database technologies for their application, messaging, and database tiers. Administering each of these tiers, including managing availability and security, scaling to meet demand, and monitoring performance, is far from easy. All the databases need to connect, so business users can get a picture of the data stored in them.

Enter a solution to managing multiple databases

But what if all the data used by your microservices resided in a single database, regardless of type? That’s the concept behind Oracle Converged Database. It’s optimized to support multiple modern data types, key data center components, and the latest development paradigms.

A converged database can hold spatial data for location awareness, JSON for document stores, IoT for device integration, in-memory technologies for real-time analytics alongside traditional relational data and just about anything in between. By supporting all these data types, a converged database can run the following workloads:

  • Internet of things (IoT)

  • Blockchain

  • Analytics

  • Machine learning

  • And more!

It can also handle any development paradigm, including microservices.

The advantages are obvious: Developers can familiarize themselves with one database technology instead of many, and they need to administer, secure, monitor, manage availability, and scale only one database server tier. With one database serving as a single source of truth, data consistency is no longer a challenge.

Simplifying Java-based microservices development

Having all your data in one database is the most important step in streamlining microservices development and deployment, but it’s not the only one. Helidon is an open source Java microservices framework backed by Oracle. Developers can use it to create lightweight Java-based, cloud native applications quickly and easily.

Helidon has two versions: SE and MP. Helidon SE 2.0 offers developers a reactive web server along with security and observability features to run health checks, view metrics, and trace API calls. It also has a web and database client that supports relational and non-relational databases, reactive streams, reactive messaging, and WebSocket and CORS support. Helidon MP 2.0 supports MicroProfile components and some Jakarta components.

Oracle Autonomous Database removes even more roadblocks for DevOps teams who must continually monitor the performance and availability of software applications to detect and diagnose issues before they impact service levels. Most teams collect metrics to gauge application performance and ensure that there’s adequate capacity to support shifting application workloads to avoid resource bottlenecks.

Oracle Autonomous Database performs these and other routine database maintenance tasks autonomously, while the system is running, without human intervention. Machine learning algorithms automatically diagnose security alerts, install software patches, and optimize database performance. So, your team can spend less time on routine database maintenance and more time developing enterprise applications that drive revenue growth and efficiency savings.

Where to go from here

You might have already invested significant time and money in hiring your DevOps team and training them so that they can support the current DevOps processes. So, switching to a new paradigm might not appeal to you. You might also argue that your existing DevOps architecture is the best one suited for your business. I’m not arguing with that, since you know what’s best for your business.

Microservices are the future of enterprise application development. Your DevOps teams need to access multiple data types without worrying about a legion of frameworks and technologies or administration, security, monitoring, and service scaling. Instead, Oracle Converged Database provides a single source of truth across all microservices. There’s an initial learning curve for your team as they get familiar with the Oracle database. Once they get past it, they only need to keep themselves updated with one database technology.

Helidon simplifies and accelerates microservices development, and Autonomous Database handles day-to-day maintenance tasks without human intervention. Together, these Oracle innovations make life easier for developers, administrators, and business users alike.

To learn how Oracle Converged Database, Helidon, and Oracle Autonomous Database work together to streamline and speed up microservices development and deployment, visit Oracle Database.

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