This blog post is part of a series on Cloudera’s Operational Database (OpDB) in CDP. Each post goes into more details about new features and capabilities. Start from the beginning of the series with, Operational Database in CDP. Cloudera’s OpDB provides a rich set of capabilities to store and access data. In this blog post, we’ll look at the accessibility capabilities of OpDB and how you can make use of these capabilities to access your data.
There is a lot to consider when weighing up SQL server monitoring solutions, with various competing providers delivering compelling packages that promise to boost performance, improve maintenance and enhance troubleshooting. SentryOne is a leading light in this market when it comes to the best SQL server monitoring tools, so here is a look at the features and functions that are included in its SQL Sentry monitoring suite.
Scylla is an open source database alternative to Apache Cassandra, built to deliver significantly higher throughput, single-digit millisecond latency, and always-on availability for real-time applications. Unlike Cassandra which is written in Java, Scylla is implemented in C++ to provide greater control over low-level operations and eliminate latency issues related to garbage collection.
We have talked about it for a long time, but now it is here: The Icinga DB RC1 In case you managed to avoid all of the talk about it, Icinga DB is the replacement for our IDO (Icinga Data Output). What does this mean for you? It means SPEED. Especially for larger environments. So, what’s in the RC? It is basically a finished product. We want to give both you and us some time to test it out, find bugs and get comfortable with it.
In General, page faults will occur when the database fails to read data from RAM, so it is forced to read off of the physical disk. Now MongoDB page faults occur when the database fails to read data from virtual memory and must read the data from the physical disk. Most databases cache data in RAM as often as possible to avoid having to read from physical disks since it is slow and costs you valuable time.
AWS (Amazon Web Services) is an amazing and reliable cloud service provider. AWS, like Google Cloud Platform and Microsoft Azure, provides everything you need to host an application without having to worry about running the underlying servers and network configuration. Everything you need to quickly begin hosting is provided as a packaged services. However, deploying an application on AWS presents some challenges.
The connection between an application and SQL database raises some interesting and complicated challenges when the time comes to update your schema and maintain a consistent user experience. In this article, we’ll talk about these challenges and explore patterns and best practices you can implement to overcome these obstacles. When we talk about maintaining a consistent user experience, our ultimate goal is to manage necessary updates with zero downtime.
