Cloud adoption has continued to push the momentum on digital transformation. The initial apprehension within enterprises on managing the disruption caused by the ongoing pandemic has slowly waned. Enterprises now have a clearer picture of the situation and are moving forward. The need for online collaboration and online meetings has forced most enterprises to rely more on cloud services for managing their workforce and to provide an environment that allows employees to work remotely.

Most businesses rely on communication and collaboration tools like email, Zoom, Teams, etc. So, staying connected over a reliable network can go a long way to increase efficiency and security in the day to day business. A corporate network that connects geographically dispersed users, from areas that could be anywhere in the world, is called an Enterprise WAN. Every enterprise has special use cases for certain network designs that meet the specific needs of the individual business.

The cloud gets all the press today, and while organizations are moving more and more of their applications and associated infrastructure into the cloud, there is still a lot of “down below” on-premises. A recent cloud computing survey from IDG shows that a clear majority of companies plan to use cloud services for over half of their infrastructure and applications.

More and more companies are beginning to turn to DevOps and the cloud as a way to improve their software teams. Whilst it used to be that development and operations were seen as separate, that view has now changed. Linking the two leads to better communication, faster development times, and the ability to stay on top of things.

Remote and flexible working isn’t just changing where we work, it’s changing how we work. “The vision is changing, the game is changing,” explains Yasser Fouad Ramadan (Deputy General Manager, Head of IT Governance at Banque du Caire).

Do you know this situation? You are on-call and in the middle of the night you get a phone call. Loud enough to wake you up. Loud enough to wake your wife up, as well. You stand up and check your emails to see what the problem is. OK, you got it. Then you log on to the console of your monitoring tool and – green. Green? False alert? Why did you get the call then? After double-checking, still a bit sleepy, you recognize that the problem has been recovered automatically.

Imagine you need a monitor to react to a derivative of several performance values. For example, you could need to only trigger alert if CPU load and free memory have both crossed certain thresholds. If those monitors are related to the same host, you can always use generic monitor type, such as Script or Program, Python script etc. and do whatever math is required. What should you do if the performance values can only be taken from different hosts? There are several solutions.

For IT teams inside large organizations used to managing any number of operating environments, Kubernetes is a breath of fresh, standardizing air. Forget its origins, forget any excitement over containers or microservices, and forget the sprawling ecosystem of related projects. What has some folks charged with managing Kubernetes deployments really excited is the prospect of managing all application infrastructure essentially the same way.

The ITOM Podcast returns with yet another episode to help you eliminate all the remote work woes in your IT environment. In the last episode, we discussed in detail about the key areas enterprises need to monitor to ensure endpoint security, measures to adopt to ensure cybersecurity while rolling out BYOD policies, and the crucial factors that IT leaders need to know about in the post-pandemic era with respect to IT security.

Deploying Docker images to Kubernetes is a great way to run your application in an easily scalable way. Getting started with your first Kubernetes deployment can be a little daunting if you are new to Docker and Kubernetes, but with a little bit of preparation, your application will be running in no time. In this blog post, we will cover the basic steps needed to build Docker images and deploy them to a Kubernetes cluster.