Pivotal Container Service (PKS) simplifies the deployment and management of enterprise-grade Kubernetes on both public and private clouds. The PKS APIs and its command line interface make it easy to create and manage Kubernetes clusters without cloud-vendor lock in.
Getting started with PKS is easy
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When creating a Cassandra-compatible YCQL table in the YugabyteDB database, you are required to create a primary key consisting of one or more columns of the table. Primary key based retrievals are efficient because YugabyteDB automatically indexes/organizes the data by the primary key. However, there are many use cases where you may need to retrieve data using columns that are not a part of the primary key. This is where secondary indexes help.
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Welcome to the inaugural edition of the YugabyteDB Community and Engineering update series! Let’s dive in and take a look at what has happened over the last few weeks.
There has been a lot of activity in terms of meetups and events. In June, YugaByte was at DockerCon. We also did a hands-on lab about building geo-distributed cloud apps at a Datariders meetup and a talk at Samsung about
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This post is to help developers and operations engineers understand the precise strengths and weaknesses of DynamoDB, especially when it needs to power a complex, large-scale application.
Amazon DynamoDB is a popular NoSQL database choice for mid-to-large enterprises. In this post, we look beyond Amazon’s marketing claims to explore how well DynamoDB satisfies the core technical requirements of fast growing geo-distributed apps with low latency reads, a common use case found in today’s enterprises. We examine the development, operational and financial consequences of working around the limitations of DynamoDB when attempting to “force-fit” for this use case. Finally, we compare and contrast alternatives such as MongoDB,
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Modern user-facing apps, like E-Commerce and SaaS, frequently require features from multiple databases (broadly — SQL, NoSQL and a cache) to support their multi-workload needs. App developers are responsible for understanding and managing which pieces of data should be stored in which SQL and NoSQL database. Furthermore, the app is also responsible for moving data across the tiers (e.g. populating the cache on reads and invalidating it on writes). This greatly increases development and operational complexity,
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ACID transactions are a fundamental building block when developing business-critical, user-facing applications. They simplify the complex task of ensuring data integrity while supporting highly concurrent operations. While they are taken for granted in monolithic SQL/relational databases, distributed NoSQL/non-relational databases either forsake them completely or support only a highly restrictive single-row flavor (see sections below). This loss of ACID properties is usually justified with a gain in performance (measured in terms of low latency and/or high throughput).
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This is the first post in a series about building real-world, distributed cloud services using a transactional cloud database like YugabyteDB.
We are going to look at how to build a scalable chat or messaging application like Facebook Messages. This is close to heart to a number of us at YugaByte — we were the team behind the database platform that powers the Facebook Messages app.
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YugabyteDB is an open source, transactional, high-performance database for your business-critical data —and it is compatible with the Redis API. Over the years, many of us fell in love with the simplicity and the intuitiveness of the various Redis commands and data structures. We are excited to share the same love with all the Redis developers out there.
When using your Redis application with YugabyteDB, your data is replicated and persisted with strong consistency.
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Today, we are launching Yugabyte out of stealth and announcing the availability of YugabyteDB’s first public beta release. Yugabyte offers an open-source, cloud-native database for mission-critical applications. Yuga in Sanskrit represents an era or an epoch (about 4.32 million human years), a very long period of time. We picked the name Yugabyte to signify data that lives forever without limits. Our ultimate goal is to simplify data that is critical to businesses.
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