Databases

datadog

Monitor Scylla with Datadog

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.

icinga

Releasing Icinga DB v1.0 RC1

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.

Kubernetes Master Class: Deploy WordPress and MySQL without Data Loss

Applications such as WordPress or MySQL require the use of data persistence. It is common when deploying such applications to use a HostPath volume as it is agnostic from the platform. A HostPath volume shares the filesystem of the Host within the container making the data available between pod restarts. However, it ties the data to one node only, creating a single point of failure and restricting any kind of scalability. Kubernetes is not able to schedule the application in any other node even if it is unavailable. This leads to eventual data loss.
blue medora

Troubleshoot MongoDB Page Faults

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.

qovery

The Simplest Way to Deploy Laravel with MySQL on AWS

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.

victorops

Zero Impact SQL Database Deployments

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.

Virtualized Database Performance Tuning

Virtualized database instances are becoming more and more common, but many DBAs try to avoid virtualized databases because of the added complexity they can bring to performance resolution. With the VMware option, SolarWinds Database Performance Analyzer (DPA) provides detailed information related to whether the culprit affecting database performance is located in the virtualization layer or inside the database itself.

SolarWinds Deepens Hybrid IT Database Portfolio With Database Performance Monitor for Cloud-Native Environments

Before-and-after analysis and one-second root cause granularity for open-source and NoSQL databases, including MongoDB and PostgreSQL; uniquely enabling SolarWinds customers to manage databases through single provider