Migrating your applications from on-prem infrastructure to the cloud comes with a number of benefits, including increased agility, resilience, and scalability, as well as potential cost and IT overhead reductions. But it can be complex, which is why organizations moving to Azure often use Microsoft’s Cloud Adoption Framework for Azure and its strategy for successful migrations.
Gone are the days when AIOps was merely used as a buzzword to draw attention to the growing popularity of AI in IT service management. Today, factors such as the never-ending COVID 19 pandemic and the great resignation have pushed AIOps to emerge as a vital instrument for enterprises looking for ways to optimize their digital operations.
With rising shopper worries about the ecological effect and data security, all organizations should consider how unproductive assets need to be disposed of! As assets can be a danger to the environment and it can create compliance issues. Nowadays Organizations keep track of their asset and keep maintaining them but do not pay attention to asset disposal. Asset & equipment disposal needs to be done in the right way. Otherwise, it can impact your business as we have discussed below.
Keeping your systems secure is a never-ending challenge. Not only is it necessary to monitor and secure your own tech stack, but each new service a company uses creates another potential avenue for bad actors to try to exploit for their own ends.
Forget the latest tech gadgets and the newest products. One of the most talked about trends in observability right now? “SLOs have really become a buzzword, and everyone wants them,” said Grafana Labs principal software engineer Björn “Beorn” Rabenstein on a recent episode of “Grafana’s Big Tent,” our new podcast about people, community, tech, and tools around observability.
Recently microservices-based applications became very popular and with the rise of microservices, the concept of Service Mesh also became a very hot topic. Unfortunately, there are only a few articles about this concept and most of them are hard to digest.
In the era of Microservices, Cloud Computing and Serverless architecture, it’s useful to understand Kubernetes and learn how to use it. However, the official Kubernetes documentation can be hard to decipher, especially for newcomers. In this blog series, I will present a simplified view of Kubernetes and give examples of how to use it for deploying microservices using different cloud providers, including Azure, Amazon, Google Cloud and even IBM.
Companies today face a new world. Even the largest corporate behemoths are fretting over shifts in consumer preferences, the competitive landscape, and the next shock. For many firms, COVID-19 was a wake-up call. Now, they’re taking nothing for granted and are racing to seize every advantage. Japanese giant Fujitsu is no exception.
The world is getting used to the idea of a permanent shift to remote and hybrid work. The Everywhere Workplace means your employees are, well, everywhere: some might be in the office, while others come and go, others work from home, and still others are part of the rising trend of digital nomads. It’s a good thing that we’re growing comfortable with the idea of employees being everywhere. But there’s a catch: that means our data is everywhere, too.
