Operations | Monitoring | ITSM | DevOps | Cloud

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The Perfect Storm: How We Talk About Disasters

Failures are inevitable. Every once in a long while, those failures can become major outages so big that they can cause irreversible damage to your company's brand and reputation. During these rare events, how you communicate with customers can make or break the valuable relationships you've built with them over the years. But when the blast radius of a technical outage is so big that it requires involvement from other parts of your company (like legal, marketing, and sales) many companies inadvertently make problems worse.

Topping top! New Real-Time Process Monitoring

What are the essential things to monitor in your infrastructure? Sure, CPU utilization, memory usage, and IO throughput. However, once you notice a significant load somewhere in your infrastructure you want to know what is causing it, and that typically boils down to needing to find the process that’s using too much CPU or memory or that’s doing disk or network IO like there’s no tomorrow.

API Analysis with the ELK Stack

Pulling in data exposed via API is not one of the most common use cases for ELK Stack users but it is definitely one I’ve come across in the past. Developers wrapping their database services with REST API, for example, might be interested in analyzing this data for business intelligence purposes. Whatever the reason, the ELK Stack offers some easy ways to integrate with this API. One of these methods is the Logstash HTTP poller input plugin.

HybridOps and the State of Digital Transformation

CIOs leading digital transformation initiatives often find themselves juggling multiple tools, processes, and teams. A ‘HybridOps’ approach can help IT leaders knit together multiple operating models and empower teams to work the way the want to, which together will help to improve the speed and efficiency of digital operations and facilitate automation at scale. Join our panel of experts as they discuss digital operations innovation, the need to break down silos, and the best path forward for CIOs and their teams.

Machine Learning driven Closed Loop Automation

The reliance on digital transformation and data is ever increasing for businesses to be successful in the current environment. The agility at which the business can respond to real-life situations is proportional to the level of digitization that has been implemented in the business. For a business to nimble and agile, it is imperative that all the processes be delivered as a digital service that can be provisioned, monitored and remediated as by an automation logic at the core of the business.

A safer path to Azure deployments: Site24x7 and Azure Deployment Manager

While deploying updates in large-scale production environments, it can be easy to overlook minor issues that may later turn out to be the cause of major infrastructure problems. To ensure these large deployments are safely rolled out to production, they can be staged in one subset of your environment and then another; for example, once an update is deployed to a subset, it is monitored to make sure everything is fine and then moved to the next subset.