Building a Monitoring Dashboard: Which Metrics to Track?

A well-designed monitoring dashboard is the key to helping users process, interact with, and analyze data. Done right, it allows key decision-makers to track metrics and gain insights in an organized, easy-to-read format, while giving technical teams complete visibility into IT performance at a single glance. Done wrong, it creates information overload, with too much of everything – too many graphs, colors, widgets, and other sources of information, making it at best deceptive and at worst completely useless.

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Solving Log Monitoring Challenges at SEB Bank

SEB Bank is a major financial services group based in Stockholm, Sweden. It serves northern Europe, particularly the Nordic and Baltic regions. Known for its digital innovation and commitment to sustainability, SEB offers banking, investment, and financial advisory services to individuals, businesses, and institutions, focusing on long-term relationships and financial stability. This case study, which shows how Zabbix helped SEB solve its log monitoring challenges, discusses aspects specific to SEB’s operations in the Baltics, where distinct systems and structures are in place but are aligned with the group’s overall approach.

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The Zabbix Advantage for Business

CIOs and CITOs know all too well that a smoothly functioning network is the backbone of any business. Your network has to guarantee reliability, performance, and security. An unreliable network, by contrast, means damaged productivity, negative customer perceptions, and haphazard security. The solution is network monitoring, and in this post we’ll explore the reasons why Zabbix is the ideal monitoring solution for any business.

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Simplifying Zabbix API workflows with named Zabbix API tokens

Zabbix API enables you to collect any and all information from your Zabbix instance by using a multitude of API methods. You can even utilize Zabbix API calls in your HTTP items. For example, this can be used to monitor the number of particular sets of metrics and visualize their growth over time. With named Zabbix API tokens, such use cases are a lot more simple to implement.

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Combining preprocessing with storing only trend data for high-frequency monitoring

There are many design choices to consider when we build our monitoring environment for high-frequency monitoring. How to minimize performance impact? What are the data retention policies with storage space in mind? What are the available out-of-the-box features to solve these potential problems?
In this blog post, we will discuss when you should use preprocessing and when it is better to use the “Do not keep history” option for your metrics, and what are the pros and cons for both of these approaches.
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Monitoring MongoDB nodes and clusters with Zabbix

Zabbix Agent 2 enables our users to monitor a whole set of new systems with minimal configuration required on the monitored systems. Forget about writing custom monitoring scripts, deploying additional packages, or configuring ODBC. A great use-case for Zabbix Agent 2  is monitoring one of the most popular NoSQL DB backends – MongoDB. Below, you can read a detailed description and step-by-step guide through the use case or refer to the video available here.

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