This is part 6 of a series of blog posts that provides a story arc for Scylla Training In the previous post, we learned how to visualize the data in the Mutant Monitoring System with Apache Zeppelin by viewing the table data and generating graphs. Now, at Division 3 we must prepare for disaster readiness by expanding our Scylla cluster across geographic regions in a multi-datacenter configuration. In this post, we will set up a new Scylla cluster in another datacenter and learn how to convert our existing keyspaces to be stored in both datacenters. Before we get started, we […]
A highly available time-series solution requires an efficient tailored front-end framework and a backend database with a fast ingestion rate. KairosDB, a time-series database, provides a simple and reliable tooling to ingest and retrieve chronologically created data, such as sensors’ information or metrics. Scylla provides a large-scale, highly reliable and available backend to store large quantities of time-series data.
The Scylla team is pleased to announce the release of Scylla Enterprise 2017.1.6, a production-ready Scylla Enterprise minor release.
Organizations are continuing to adopt Solid State Drives (SSD) in their data centers for optimal performance and lower latencies. With that in mind, it only makes sense to use them with a database solution like Scylla to get the most bang for your buck. One of the popular SSD’s that organizations are adopting now in their data centers is the Samsung Z-SSD drive. In this post, we will go over the Z-SSD and see how Scylla users can benefit from the drives.
We’re at Linux SCaLE 16x this week Stop by booth #219 at Linux SCaLE 16x at the Pasadena Convention Center where we’ll be running live demos of Scylla running different workloads. We’d love to discuss your database projects and use cases, and you can pick up a Scylla t-shirt or sea monster stuffie!
What fascinates me most about databases is how they can be used for storing time series data. This use case is important for Internet of Things (IoT) devices and data analytics. Everyone should at least be able to relate to a time series database use case as many are likely to have devices in their home collecting and sending data such as a smart thermostat or phone or wrist device gathering your fitness activity. Wouldn’t it be nice to know how the infrastructure works behind the scenes and how to create a time series database? In this post, I will […]
In the last post, we simulated that Division 3 was under attack and learned how to recover from a node failure, consistency levels, how to repair the Scylla cluster. Now that operations are back in a good operating state, we can get back to the important part of the Mutant Monitoring System, analyzing data. In this post, we will learn how to visualize the data in MMS with Apache Zeppelin.
At ScyllaDB, we love Grafana and use it a lot. However, if you are familiar with Grafana, then you are probably familiar with issues creating dashboards. For example, we find adding a new dashboard, row, or panel from the GUI is a breeze. But since we maintain our dashboards as files (sorry DB users, we like Git and commit messages) things can get messy.
The Scylla team is pleased to announce the release of Scylla Enterprise 2017.1.5, a production-ready Scylla Enterprise minor release. Scylla Enterprise 2017.1.5 is a bug fix release for the 2017.1 branch, the latest stable branch of Scylla Enterprise.
The Scylla team is pleased to announce the release of Scylla 2.1, a production-ready Scylla Open Source minor release.