Operations | Monitoring | ITSM | DevOps | Cloud

Welcome to the concluding blog of this mini-series on tapping into the fourth industrial revolution. In Part I, we introduced and assessed the current status in the IT and OT domains. In Part II, we discussed the automation pyramid of modern factories and the need to adopt a more holistic approach toward closing the divide.

Kubernetes (K8s) packs a ton of benefits as a container orchestration platform. For instance, K8s is big on automation. This includes automating workload discovery, self-healing, and scaling containerized applications. Yet, Kubernetes isn't always production-ready after a few tweaks. This guide shares crucial Kubernetes best practices you'll want to start using immediately to improve your K8s security, performance, and costs. Let’s get to it!

Are you looking to build a Gatsby website with markdown? This post will take you through the Gatsby development process, from creating the project to deploying it in production on AWS. We will talk about the benefits of using Gatsby and show how to set up markdown, configure Gatsby, and build an article for your demo website.

In the fast-growing Azure space, it is essential to scale your business as Azure scales up. Azure is cost efficient by providing a pay-as-you-go model, but it is still necessary for enterprise users to undergo a Cost Analysis to keep their budget at stack. Let us consider a scenario, you’re a manager in your organization, and your team has been using Azure for the last several months. It has created multiple resources that cost money.

From our experience handling Azure Service Bus messages, one frequent suggestion we get from the support person is to download messages from Azure Service Bus entities like Queues and Topic Subscriptions. By downloading the messages as a local copy, it becomes easy for them to debug the messages and use it at a later point in time. Basic knowledge of Azure Service Bus messaging entities is a pre-requisite for the better understanding of this feature.

Don’t forget, it’s the hardware that makes the cloud The main issues we see with clients and cloud implementations are that it can be very difficult for them to get a clear idea of what it is they are buying and how well it will perform. While the consumption and billing models are clear, it can still be hard to know how much you will pay each month. But what is hard is predicting exactly what the level of performance you will get. Some of this is inevitable.

I was recently joined for a live webinar by Tony Maddonna (Microsoft Platform Lead, Enterprise Architect & Operations Manager at BMW) and Hamish Watson (DevOps Alchemist at Morph iT) to discuss their experiences with digital transformation and the impact it had on them, their teams and the wider organization.