Operations | Monitoring | ITSM | DevOps | Cloud

Making a Dog's Job Easier With Mass Notifications

Time-sensitive situations require immediate action, ensuring that a goal or task is achieved within a restrictive deadline. This is the case for Search and Rescue Dogs of Colorado (SARDOC), a non-profit organization dedicated to finding missing persons in mountainous and wilderness regions.

OnPage Mentioned in Gartner's Hype Cycle for ITSM 2019 Report

Gartner’s Hype Cycle for ITSM report highlights tools or technologies that improve IT operations. It’s a comprehensive, in-depth document, allowing support teams to gain insight into the latest innovations, industry trends and recommendations. The OnPage team is pleased to be included in the latest Hype Cycle for ITSM report, listing OnPage’s solution as a trusted, reliable source for IT service alerting (ITSA).

Gartner Lists Anodot as a Leading AIOps Vendor

A recent report by Gartner casts light into the world of AIOps, and the need for deploying it in organizations today. AIOps is a modern approach to DevOps which is based on recent AI technology. Gartner’s vision of the AIOps platform is one that enables continuous insights across IT operations management.

Keep Your Business Stakeholders Updated While You Save the Day

Imagine this: An airline encounters a major IT incident in a data center that affects their ticketing system. Behind the scenes, technical responders are scrambling to diagnose and fix the issue. However, because today’s systems are so complex, this issue is taking longer than expected to resolve, and hours have passed since the system went down. Meanwhile, passengers are stranded and taking their anger out on customer service agents and sharing their frustrations on social media.

Building better software with automated monitoring and alerting

This is a guest article by Dan Holloran from VictorOps – an on-call alerting and incident response tool recently acquired by Splunk. They are experts in incident management. In software development and IT operations, we tend to focus a lot of our time on the delivery and deployment pipeline. But, what happens after you deploy new services? How are you responding to incidents in production and identifying reliability concerns?

Intent-based Capacity Planning and Autoscaling with Kubernetes

Intent-based Capacity Planning is Google's approach to declare reliability intent for a service and then solve for the most efficient resource allocation plan dynamically. Learn how you can start using this approach to effectively manage the reliability of your services running on your Kubernetes cluster.