Operations | Monitoring | ITSM | DevOps | Cloud

This year Ivanti was placed in the Leader quadrant in the 2020 Gartner Magic Quadrant for ITSM Tools report. After a long and tough journey moving from Niche, to Innovator, to Challenger, we made it to the quadrant that is magic: the Leader quadrant. Obviously we’re thrilled. Having reached this point, I thought I would spend time here explaining what the MQ really means and why Ivanti’s move to Leader is so significant. (Disclaimer: this is not a Gartner authored article.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. With the rising concern over cyberattacks in the distributed workforce, this week we explore the concept of cybersecurity incident response during a pandemic.

It's been an exciting week at Ivanti! On Wednesday, we announced enhancements to the Ivanti Neurons platform. We added new Ivanti Neurons innovations (powered by machine learning) to improve security posture and optimize asset spend. Ivanti Neurons for Patch Intelligence helps enable organizations to achieve faster SLAs for their vulnerability remediation efforts via supervised and unsupervised machine learning algorithms.

After all, when an IT outage occurs, it disrupts the business. Employee productivity is impacted, customers are unable to transact, and the organization’s brand is at stake. Monitoring needs to cover all aspects of IT – from hardware, to storage, to server to the application stack. With the focus on keeping users happy, the importance of monitoring at the application layer has had more attention recently.

A highly functional IT network is the basis of any successful modern business, and for effective operations, organizations must monitor the health and availability of all their IT infrastructure components and ensure they’re up and running 24×7. Uptime is the duration during which a network component is reachable and capable of operating efficiently. Typical networks use ICMP or TCP to communicate with devices and identify idle or inactive ones.

If you’re using AWS Kinesis in your application, you’ll want to monitor your Kinesis streams to make sure they are healthy and that your producers and consumers are interacting with them correctly. CloudWatch exposes many metrics that can help you determine the health of your Kinesis streams, but it can be a pain to set up. In this post, we’ll discuss the metrics that are most helpful, how to get CloudWatch up and monitoring your Kinesis streams, plus an easier alternative.

In recent times, Prometheus has become the standard for application monitoring in the tech space. But what exactly is Prometheus? Over the course of this article, we’ll touch on various subtopics to help answer this question, ranging from where it all started, to its architecture and how exactly it does monitoring. We'll address the various possible integrations/tools that can be used alongside Prometheus, and why Prometheus is a great tool for monitoring these platforms and applications.

In this article, you’ll learn the basics of MongoDB. We’ll cover its performance metrics, built-in monitoring commands, utilities and tools, and common monitoring strategies. You will also be introduced to a monitoring tool called MetricFire and provided with some examples of how it can be used in production systems together with setup instructions.