Operations | Monitoring | ITSM | DevOps | Cloud

When it comes to dashboarding, Kibana is king. Since its release Kibana has changed the way businesses visualize data. Kibana is a fairly intuitive platform and offers some seriously impressive ways to visualize data. In this kibana dashboard tutorial, we are going to help you unlock the full potential of the platform and help you become a Kibana guru. When it comes to visualizing data Kibana is well suited for monitoring logs, application monitoring, and operational intelligence.

Your website is the face of your business - it should urge the customer to buy your product. Knowing this, you spend weeks on a great web design and user experience. But that’s only the visible part, what about your site’s infrastructure? In order to make your website as optimized as possible, you need metrics about everything such as customer behavior, load speeds, proxy request counts, load balancers and more.

The perception that Netdata is only capable of short-term metrics storage is a myth. It’s a pervasive myth we still see in blog posts and through community engagement, despite it being false for more than a year. However, like all myths, this one on metrics storage began with a kernel of truth. When Netdata first flourished as an open-source project in 2017 and 2018, the default metrics database was RAM-only.

The dawn of virtualization and virtual machines or VMs have brought about massive changes in the industrial and commercial sector. Every organization, be it large or small, are now implementing virtual machines on different scales, and it’s saving them a lot of money and resources. But while virtualization is an incredibly powerful computing technology, it is by no means simple to handle.

Last month, MongoDB released v4.4 of their database; the new release contains several changes and improvements, but the introduction of structured JSON logging caught our eye, which makes it easier to extract valuable insights from the logs using products like SolarWinds® Loggly®. In this post, we’ll review how to get started sending your MongoDB logs to Loggly and some of the insights you can easily get from your server logs when you upgrade to the latest version.

When it comes to your network and server processes, one of the key ways your IT team will collect data and insight is through event logging. Collecting the right event data will help inform both essential processes and services, as well as your network security measures, which is why having the proper collection plan in place is key. At Pandora FMS, we offer a host of comprehensive log collection and network monitoring solutions designed to be easily customized.

DynamoDB is a key-value and document database with single-digit millisecond response times at any scale. It’s a fully managed durable database with built-in security, backup and restore capabilities. A keyword you’ll often hear with DynamoDB is that it is a NoSQL database, which simply means it doesn’t use the traditional SQL query language used in relational databases.

One of the most common questions that businesses operating under GDPR, LGPD or other similar data regulations have is how long should you keep data? As answers to this question typically seem to vary widely to clear up confusion, we’ve gathered insights from business leaders & specialists across a variety of industries to try and answer this question and shed light on what are reasonable timeframes to keep hold of data, whether that may be financial, employee or other potentially sensitive data.

For many developers, Ruby on Rails framework not only allows them to build web applications, websites, and efficient database solutions, but it can help them optimize mailing operations. You can easily use Ruby on Rails mailer, an automatic tool to build transactional messages of any kind, and make proper authentication. In this article, we review three main ways to work with email sending in RoR, which include some Ruby gems, the Net::SMTP class, and the facilities of the Socket system.