Operations | Monitoring | ITSM | DevOps | Cloud

Imagine your organization encounters a project where you have to switch storage vendors... What would you do? To begin with, you will need to evaluate and test the performance of the storage providers on your servers. At Civo, we faced a similar project, allowing us to test several storage providers on our bare metal servers. In this article, we will discuss what you should look for while migrating to a different provider and the ways you can test these providers.

When it comes to delivering exceptional results to customers, having an understanding of all the tools at your disposal will give you a leg up. Especially in these uncertain economic times, this is even more important as companies look to gain any advantage possible. Being able to convert browsers into buyers and customers for life by providing the best customer experience will truly usher in this advantage.

How AIOps has evolved into an accessible and efficient solution.

Despite all the hype from the big cloud providers the truth is that most organisations rely on hybrid infrastructures now and will do so for the foreseeable future. Typically, this includes on-premises infrastructure and at least two public cloud providers. This is not a step on a journey to being 100 per cent cloud, it is the strategic destination many have chosen.

Editor’s note: This post was updated on August 9, 2022, to include a demonstration of how to enable highly available support for HPA. It was also updated on November 12, 2020, to include a demonstration of how to autoscale Kubernetes workloads based on custom Datadog queries using the new DatadogMetric CRD.

Rails is a Ruby framework for developing web applications. It favors the Model-View-Controller (MVC) architecture and includes generators that create the files needed for each MVC component. Rails applications consist of a database, an application server for running application code, and a web server for processing requests. Rails provides multiple integrations for its supporting database (e.g., MySQL and PostgreSQL) and web server (e.g., Apache and NGINX).

Machine learning has crossed the chasm. In 2020, McKinsey found that out of 2,395 companies surveyed, 50% had an ongoing investment in machine learning. By 2030, machine learning is predicted to deliver around $13 trillion. Before long, a good understanding of machine learning (ML) will be a central requirement in any technical strategy. The question is — what role is artificial intelligence (AI) going to play in engineering?

If your organization is looking to improve its IT service management (ITSM) and/or IT Operations Management (ITOM) capabilities, then it’s probably considering Artificial Intelligence for IT Operations, which is commonly called “AIOps.” But what is AIOps, and how will it help your IT organization’s IT management capabilities and, ultimately, business operations and outcomes? Let’s start with an AIOps definition.