Operations | Monitoring | ITSM | DevOps | Cloud

You hear us at Percepio talking about Observability a lot. For customers using our award-winning Tracealyzer tool, this might sound a bit strange – isn’t Tracealyzer about diagnostics, debugging and profiling? Mostly, yes, but let me share why we are putting so much emphasis on our Continuous Observability solutions.

In today’s complex IT environments, logs are the unsung heroes of infrastructure management. They hold a wealth of information that can mean the difference between reactive firefighting and proactive performance tuning. Log analysis is a process in modern IT and security environments that involves collecting, processing, and interpreting log information generated by computer systems. These systems include the various applications and devices on a business network.

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.

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.