Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

The Quest to Process Microsoft Windows Event Logs in Snare Format with Cribl

One of the things I really love about working for Cribl is the ability to help our customers optimize their data. Microsoft Windows Event Logs are something I have always looked to as a proverbial Rosetta Stone to help translate semi-structured, classic-style events into something more efficient and less resource-intensive to search. Extracting field values requires a large number of regular expressions to parse the events, which isn’t ideal.

Grafana Labs' new AI-powered chatbot

Got questions about Grafana? Just ask Grot, Grafana's new AI-powered chatbot (still in beta). Built in partnership with Pal, a company that creates AI assistants for businesses, and inspired by our bulbous dino mascot, Grot the chatbot has been trained with large language models (LLM) on Grafana Labs’ own content. It can help you easily answer just about any question about our Grafana LGTM Stack, our open and composable hosted Grafana Cloud platform, and more — regardless of how narrow or broad the query might be or what language is set in your browser.

Visualizing MongoDB with Grafana Cloud

Learn to connect your MongoDB data and other data sources to a single dashboard to provide impactful insights into your business and improve visibility across teams. Vijay Tolani will demonstrate how to translate and transform your existing application and business metrics into flexible and versatile charts within dashboards using a wide array of visualizations, such as panels, bar gauges, geomaps, and more. Also query and alert on MongoDB and MongoDB Atlas data in real time without having to migrate or ingest it.

What Happens to DevOps when the Kubernetes Adrenaline Rush Ends?

Kubernetes has been around for nearly 10 years now. In the past five years, we’ve seen a drastic increase in adoption by engineering teams of all sizes. The promise of standardization of deployments and scaling across different types of applications, from static websites to full-blown microservice solutions, has fueled this sharp increase.

Predictive Maintenance: A Brief Introduction

Predictive maintenance is a maintenance strategy that uses machine learning algorithms trained with Industrial Internet of Things (IIoT) data to make predictions about future outcomes, such as determining the likelihood of equipment and machinery breaking down. Using a combination of data, statistics, machine learning and modeling, predictive maintenance is able to optimize when and how to execute maintenance on industrial machine assets.

An Overview of the Essential Observability Metrics

Metrics are closely associated with cloud infrastructure monitoring or application performance monitoring – we monitor metrics like infrastructure CPU and request latency to understand how our services are responding to changes in the system, which is a good way to surface new production issues. As many teams transition to observability, collecting metric data isn’t enough.