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Author: Srinivasa Vasu

Log Aggregation in YugabyteDB with Grafana Loki

Log Aggregation in YugabyteDB with Grafana Loki

Log aggregation is an integral part of a distributed system. As the name suggests, a distributed system will have multiple processes across multiple machines, and each process will generate a lot of data. Looking at the data in silos is time-consuming and wouldn’t yield important information as the data sets still need to be correlated. But aggregating the logs is a huge productivity booster that helps to transform the raw log data into insightful information.

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Change Data Capture (CDC) Using a Spring Data Processing Pipeline

Change Data Capture (CDC) Using a Spring Data Processing Pipeline

Change Data Capture (CDC) is a technique to capture changes in a source database system in real-time. The goal is to stream those changes as events through a data processing pipeline for further processing.

CDC enables many use cases, especially in modern microservices-based architecture that involves a lot of bounded services. It is the de-facto choice for use cases such as search indexes, in-memory data cache, real-time notifications, data sync between sources,

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Automation Workflows: Using GitOps for YugabyteDB with Argo CD and Helm

Automation Workflows: Using GitOps for YugabyteDB with Argo CD and Helm

GitOps is an operational framework for declarative-driven systems such as Kubernetes. More specifically, it provides a set of best practices that converge the runtime state of the services with the declarative state defined in Git. On the other hand, Argo CD is a declarative, continuous delivery tool for Kubernetes. Argo CD follows the GitOps pattern of using Git repositories as the source of truth for defining the desired application state. Both tools can be used for automation workflows.

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Better Developer Experience: Getting Started with YugabyteDB on Gitpod

Better Developer Experience: Getting Started with YugabyteDB on Gitpod

Developer onboarding and experience gets simplified every day. But while developers use many modern software development techniques—including 12-factor, cloud native, and continuous integration—developer onboarding remains a challenge. Therefore, what developers need is an integrated, self-contained platform that helps them get started with ease. 

Gitpod is one such way we can steer into that problem space to create a better developer experience. More specifically, Gitpod provides git-based, fully automated, integrated cloud-native development workflows with the prerequisites configured.

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Cloud Native Java: Integrating YugabyteDB with Spring Boot, Quarkus, and Micronaut

Cloud Native Java: Integrating YugabyteDB with Spring Boot, Quarkus, and Micronaut

Java is the quintessential language runtime for enterprise applications built on monoliths, microservices, and modular architecture patterns. But when it comes to “Enterprise Java,” Spring is the de facto framework of choice.

The Spring ecosystem—with the simplicity of Spring Boot—has grown to provide integration touchpoints to a majority of the Java ecosystem. For starters, it offers a clean abstraction and “glue” code to build cohesive enterprise applications. However,

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Tutorial: How to Deploy Multi-Region YugabyteDB on GKE Using Multi-Cluster Services

Tutorial: How to Deploy Multi-Region YugabyteDB on GKE Using Multi-Cluster Services

The evolution of “build once, run anywhere” containers and Kubernetes—a cloud-agnostic, declarative-driven orchestration API—have made a scalable, self-service platform layer a reality. Even though it is not a one size fits all solution, a majority of business and technical challenges are being addressed. Kubernetes as the common denominator gives scalability, resiliency, and agility to internet-scale applications on various clouds in a predictable, consistent manner. But what good is application layer scalability if the data is still confined to a single vertically scalable server that can’t exceed a predefined limit?

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