Operations | Monitoring | ITSM | DevOps | Cloud

As enterprise IT systems have become more complex and distributed due to cloud infrastructure, containers, serverless technology, an ever-growing footprint of applications and devices, IoT, SDN, open source development tools and more, the practice of performance monitoring has become far more nuanced. In these modern IT environments, traditional monitoring practices centered on known issues aren’t enough.

No matter what’s driving your move to an AWS or Azure cloud, two things are true. One, you don’t want to under-provision, which could create performance and availability issues. And two, you don’t want to overpay, because no one ever wants to do that. One of the key decisions you must make is which Amazon EC2 or Microsoft Azure virtual machine instance configuration you need. It’s a scoping exercise, but several factors make this easier said than done.

Right now, millions of people are working remotely for the first time, and they’re doing so on company laptops and mobile devices. And with millions of these devices now offsite, this throws but one more wrinkle in tech support’s security plans—in addition to worrying about insecure networks and malware attacks, IT must also safeguard against physical theft. Yes, device encryption is the logical fail-safe for such a scenario and a must-have for any remote IT setup.

Managing a network more effectively has been something our customers have been asking us about for many years, but it has become an increasingly important topic as working from home becomes the new normal across the globe. In this blog series, I thought I’d present a few analytical techniques that we have seen our customers deploy on their network data to: Better understand their network and Develop baselines for network behaviour and detect anomalies.

A difficult question we come across with many customers is ‘what does normal look like for my network?’. There are many reasons why monitoring for changes in network behaviour is important, with some great examples in this article - such as flagging potential security risks or predicting potential outages.

As many of us are rediscovering an interest in board games, it feels relevant to make reference to Hasbro’s classic Clue. Understanding what’s going right or wrong in your sprawling digital business can feel a lot like a murder mystery: it was the authentication service in the east region with the memory exhaustion error. This analogy has a weakness when applied to modern operations. The Clue board game had 6 weapons, 6 suspects, and 9 rooms. That’s 324 combinations.

Dashboards should be easy to build and provide powerful insights. Our magic dashboards are already created automatically, so you don’t have to spend any time setting up these dashboards yourself. Many developers started tracking custom metrics that were unique to their applications. From these metrics, you can create custom dashboards and add triggers to get notified if values go outside of your desired range.