Businesses in many industries turn to MetricFire for one goal: to quickly set up hosted monitoring with an expert team. Developers everywhere ask, "Will setting up a monitoring solution with a free trial be worth my time?" How can you find the right monitoring solution for your use case? This article will review some common monitoring use cases for online retail and ecommerce businesses. If any part of this article rings true for your business, click here to contact us.

Email round-trip monitoring is a powerful tool that tracks the full journey of an email from when it is sent to when it is successfully received. This comprehensive monitoring provides real-time insights into the performance and reliability of email systems, helping to identify issues that could affect uptime, deliverability, and overall communication efficiency.

AIOps monitoring is a proactive process that uses AI to anticipate and identify IT infrastructure issues. Going beyond traditional troubleshooting, it enables your systems to detect anomalies in advance to prevent potential disruptions. AIOps uses advanced technology like AI and machine learning to simplify IT operations. AIOps monitoring collects and analyzes large data sets from diverse sources, such as logs, metrics, and events.

Datadog and Splunk are both leading tools for monitoring and observability. Each offers a range of features designed to help you understand and manage your data. Datadog provides tools for tracking application performance and analyzing logs in real-time. Splunk, meanwhile, is known for its powerful log analysis and search capabilities. In this post, we will compare Datadog and Splunk on important aspects like APM, log management, search capabilities, and more.

Organizations generate, collect, and store vast amounts of telemetry data. With this data comes the growing responsibility to ensure compliance with various regulations, from GDPR to HIPPA. Data compliance ensures data is handled, stored, and processed according to laws and standards protecting personal information. But what makes compliance regulations scary is that it’s ever-changing and rules vary across industries, making it complex to manage.

As organizations continue to become more reliant on distributed and hybrid workforces, the need for comprehensive data collection across every endpoint—servers, applications, desktops, and laptops—has never been more critical. But let’s be real: agents can be a total headache. That’s where Cribl Edge comes in, now with support for desktops and laptops (in preview)!

In the IT infrastructure serving increasingly digitized enterprises, the criticality of network quality of service is more than evident to ensure connectivity to everyone at any time. System and network administrators need to understand which technology enables efficient, reliable, and lowest latency data transmission between IT applications and services.

Cybercriminals are constantly looking for ways to bypass defenses. You need to plan for when attackers will breach your defenses. When attackers exploit a vulnerability, you need a solution that quickly detects activities, mitigates attacks, expels attackers and enables recovery from any damage caused. It’s becoming increasingly clear that having a unified approach to data security is essential.

When something goes wrong, you need to look through your log messages and figure out important things like which device saw the problem first. This automatically tells you where to start looking for the root cause. If your clocks aren’t synchronized, it becomes much more difficult to correlate log messages between devices. More generally, you want to know if the similar log messages you’re seeing are related to the same incident or if maybe some of them happened much earlier or later.