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.
Prior to joining Yugabyte APJ, I had always been interested in the world of startups.
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Last November, we announced the general availability of YugabyteDB 2.11, a major release which extends PostgreSQL compatibility of the open source distributed SQL database. All these features are readily available in this stable release for any production environment.
In addition to making these features GA, YugabyteDB 2.12 introduces several new capabilities and significant improvements towards seamless security and better manageability.
Building customer trust is a top priority at Yugabyte.
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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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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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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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In this post, we shine a spotlight on Admiral’s Co-Founder, James Hartig. Read on to learn more about James’ passion for databases and the first time he heard about YugabyteDB. He also discusses his experience using YugabyteDB Managed (formerly Yugabyte Cloud) to serve 10,000 queries per second across three continents.
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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We’re excited to announce a new milestone in our TPC-C benchmark journey! YugabyteDB can now scale up to 100,000 warehouses with an efficiency of 99.78%. More specifically, this results in 630,000 operations per second on the database cluster, observed over a two-hour period.
For those new to TPC-C, it’s an OLTP system benchmarking tool used to measure performance when handling transactions generated by a real-world OLTP application. It models a business that has a warehouse,
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In this post, we demonstrate how business users can use Apache Superset to get valuable insights from their data stored in YugabyteDB. We’ll also walk through a retail operations use case that keeps track of order processing efficiency in a specific business territory, as highlighted below.
Linux is a general purpose operating system. This means it’s created to generally do what is right, instead of having specific code paths to perform what is right for a single specific task—and potentially be wrong for others.
Linux does not have tunable parameters for reserving memory for caching disk pages (the page cache), like operating systems such as HPUX (dbc_min_pct, dbc_max_pct) or AIX (minperm%, maxperm%). Instead,
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