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Tag: YugabyteDB

Securing YugabyteDB: Part 2 – Client-to-Server Encryption in Transit

Securing YugabyteDB: Part 2 – Client-to-Server Encryption in Transit

In the first post in this series, we covered how to secure YugabyteDB’s internal RPC protocol using the TLS encryption protocol, also referred to as server-to-server encryption in transit. In this post, we secure the communication between SQL clients and the PostgresQL query interface of YugabyteDB, also called client-to-server encryption in transit. 

YugabyteDB—a 100% open source, distributed SQL database built to accelerate cloud native agility—stores important user and customer data at an organization.

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Achieving PCI DSS Compliance with YugabyteDB

Achieving PCI DSS Compliance with YugabyteDB

Welcome back to our blog series about how different compliance and regulatory frameworks work and how YugabyteDB can be an essential part of a company’s compliance efforts. In this third installment, we focus on the PCI Security Standards Council’s Payment Card Industry Data Security Standard (PCI DSS). More specifically, we reveal how companies can use YugabyteDB to enable compliance with certain key PCI DSS requirements.

For further details, read our recently published Yugabyte PCI DSS Compliance Guide.

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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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Implementing Change Data Capture (CDC) in YugabyteDB

Implementing Change Data Capture (CDC) in YugabyteDB

Databases are systems of records in any enterprise. However, unlocking the true business potential of data requires availability across the entire enterprise ecosystem. This means different applications, services, and systems powering the business processes and use cases of the organization. As a result, change data capture (CDC) is an ideal mechanism for integrating downstream applications and services to a database efficiently, reliably, and in a scalable way.

In this post, we explore YugabyteDB’s pull-based approach to CDC introduced in YugabyteDB 2.13 that scans changes from the database’s write-ahead-log (WAL).

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Announcing YugabyteDB 2.13: Breakthrough Developer Experience and Performance

Announcing YugabyteDB 2.13: Breakthrough Developer Experience and Performance

We are thrilled to announce the general availability of YugabyteDB 2.13. This is a major release that delivers better control over where geo-distributed deployments store and access data. More specifically, it allows enterprises to lower data transfer costs, improve performance, and ensure compliance with regulatory requirements. This release also includes new features and integrations to enhance developer experience.

YugabyteDB offers a rich set of deployment and replication options in geo-distributed environments.

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Performing Flexible IO Testing in YugabyteDB

Performing Flexible IO Testing in YugabyteDB

ybio is a PL/pgSQL based load generator for PostgreSQL and YSQL. This YugabyteDB-specific IO testing toolkit performs flexible IO testing to specific parts of the YugabyteDB infrastructure with no client installation. And because this toolkit is PL/pgSQL-based, it can also work on native PostgreSQL.

ybio is strongly inspired by Kevin Closson’s SLOB and pgio. Yugabyte Developer Advocate Franck Pachot took pgio and turned it into ybio.

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Three Reasons Why I Joined Yugabyte APJ

Three Reasons Why I Joined Yugabyte APJ

Hello Everyone! I am Lakshmi, a tech product marketing intern for the Yugabyte Asia Pacific Japan (APJ) team. It has been my first month working at Yugabyte and I am thankful for the opportunity. Beyond my internship, I am a final year student at the NUS Business School in Singapore, specializing in Business Analytics.

A bit about me

Prior to joining Yugabyte APJ, I had always been interested in the world of startups.

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Yugabyte Partners with HashiCorp Vault for Centralized Secrets Management

Yugabyte Partners with HashiCorp Vault for Centralized Secrets Management

Yugabyte is on a mission to build the leading distributed database for cloud native applications and simplify operational data infrastructure. The Yugabyte team is delighted to announce a new technology partnership with HashiCorp, a market leader in multi-cloud infrastructure automation software. The partnership brings integration of Yugabyte Platform with HashiCorp Vault.

The Yugabyte Platform integration is officially verified and approved by HashiCorp. This enables you to manage and control access for encryption keys,

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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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Database Connection Management: Exploring Pools and Performance

Database Connection Management: Exploring Pools and Performance

There are many secrets to creating a high-performing database application. One such secret is proper database connection management. However, this secret is not specific to YugabyteDB or PostgreSQL, but applies to any database.

In this post, we examine database connection management through the lens of YugabyteDB. We explore pools and performance, and run tests to measure the results. By the end of this post, you’ll have a clear sense of how to make efficient use of database connection management.

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