Grafana v5.3 comes with a new visual query editor for the PostgreSQL datasource. The query editor makes it easier for users to explore time-series data by improving the discoverability of data stored in PostgreSQL. Users can use drop-down menus to formulate their queries with valid selections and macros to express time-series specific functionalities, all without a deep knowledge of the database schema or the SQL language.

As the most widely used source code management and error monitoring solutions, GitHub and Sentry work together to help developers improve their code and their productivity. With the newest Sentry integration release, GitHub users benefit from faster sign-in, flexible repository permissions, and easier organization-wide setup. And for the first time, GitHub Enterprise users can also take advantage of these useful integration features.

Most software and systems generate audit logs. They are a means to examine what activities have occurred on the system and are typically used for diagnostic performance and error correction. System Administrators, network engineers, developers, and help desk personnel all use this data to aid them in their jobs and maintain system stability. Audit logs have also taken on new importance for cybersecurity and are often the basis of forensic analysis, security analysis, and criminal prosecution.

As I wrote in my previous article “USE, RED and real world PgBouncer monitoring” there are some nice commands in PgBouncer’s admin interface that allow to collect stats how things going and spot problems, if you know where to look. This post is about new stats added in these commands in new PgBouncer versions.

Kubernetes is an open-source container-orchestration system for automating application deployment, scaling, and management. It was originally designed by Google, and is now maintained by the Cloud Native Computing Foundation.

Microsoft’s cloud-based platform Azure has helped many businesses expand and cut back on their costs associated with hosting and storing data on a traditional server. Furthermore, the platform has given developers a chance to create, manage, and deploy powerful applications capable of assisting cloud customers to perform any number of tasks. From handwriting recognition to text sentiment analysis and Bing ad-free image search, Azure’s ML-based services spans many areas.

Any IT environment needs a monitoring system, but which one should we use? We can opt for traditional and more limited systems, or for current monitoring systems such as Pandora FMS. In order to facilitate the task to any user that needs it, from the Pandora FMS team we have developed a method to migrate SNMP monitoring data in order to learn how to migrate Cacti to Pandora FMS in a fast and easy way.