Operations | Monitoring | ITSM | DevOps | Cloud

Our team has been hard at work this month to introduce 2 new parsing rules, DataMap improvements, updated tracing visualizations for SLA monitoring & more. Get up to speed on everything that’s new and improved in the Coralogix platform!

In my previous blog post, we explored key questions about Synthetic Monitoring, such as what it is, why it’s important, how it works, and how it compares to Real-User monitoring. Synthetic Monitoring is becoming an increasingly-popular method to continuously monitor the uptime of applications and the critical flows within them so that DevOps, IT, and engineering teams are quickly alerted when issues arise. Unfortunately, a good Synthetic Monitoring tool can be expensive.

Cribl Edge is the easiest and most manageable agent for exploring, processing, and collecting Observability data at the edge for Linux servers. Today, we’re excited to announce that it’s not just Linux admins whose lives have been made easier with Edge. With the Cribl Software Suite 3.5.0, Cribl Edge now supports Windows Server 2016, 2019, and 2022, bringing that same intuitive experience for deploying, setting up, and collecting observability events to your Windows infrastructure.

We’ve been busy building more features for Cribl Stream, and are excited to share the new value we offer our users. Cribl Stream 3.5 is now available! This release brings some much-requested features that will help users build more robust observability pipelines, with new sources and destinations. Let’s dive into what’s new!

In the early days of log analysis, application developers would use their logging libraries to write logs to files stored on a disk. After years of relying on those libraries, they found that they were unable to monitor the performance of their applications anymore because they didn’t understand the way their logging libraries worked. This led to a shift from using log files stored on a disk to using Syslog.

In a world where the customer’s digital experience is critical to business outcomes, it is crucial to understand how our applications are behaving. As businesses increasingly rely on the performance and availability of revenue-generating applications, the tolerance for downtime and slow response times has plummeted – so the response to production issues must be quick and effective.

We are constantly working on contributing monitoring support for various sources, the latest in that line is support for Tomcat monitoring using the JMX Receiver in the OpenTelemetry collector. If you are as excited as we are, take a look at the details of this support in OpenTelemetry’s repo. You can utilize this receiver in conjunction with any OTel collector: including the OpenTelemetry Collector and observIQ’s distribution of the collector.

This essay explores AIOps and investigates if machine intelligence applies to IT operations (ITOps). I will dive into objection handling around artificial intelligence (AI) in pop culture and address the limitations around data sets and implicit bias coded into machines. Then, I will delve into what this means for ITOps and the ways AI-based parsing utilities can help operators and developers alike. How does Sumo Logic enable anomaly detection and identify threats?

Dashboards are a powerful tool for communicating a lot of information at once. Many Splunk apps are packaged with dashboards to help you make the most of your data. For example, the Microsoft 365 App for Splunk comes with a number of dashboards to provide insights around usage, incidents, and more.