As part of our expanding relationship with Amazon, we are excited to announce that Stackery is now recognized as Amazon Linux 2 Ready Partner, part of the Amazon Web Services (AWS) Service Ready Program. This designation recognizes that we are certified to run on Amazon Linux 2, the next generation of Amazon Linux, a Linux server operating system from AWS.
Telco cloud or a network function virtualisation infrastructure (NFVI) is a cloud environment optimised for telco workloads. It is usually based on well-known technologies like OpenStack. Thus, in many ways, it resembles ordinary clouds. On the other hand, however, it differs from them. This is because telco workloads have very specific requirements. Those include performance acceleration, high level of security and orchestration capabilities.
Virtana metrics reveal most applications migrated to the public cloud since March were simply “lifted and shifted” without being optimized
It's safe to say that It's safe to say that Kubernetes is the de facto standard for orchestrating containers and the applications running in them. As the standard, a variety of managed services and orchestration options are available to choose from. In this blog post, we're going to take a look at running the Elastic Stack on Azure Kubernetes Service (AKS) using Elastic Cloud on Kubernetes (ECK) as the operator.
Recently we had one of our clients inform us that he used Cloud Storage Manager to find which were the largest Blobs in his Azure Storage Containers. Here is a quick run down to show one of the many reports on your Azure Blob consumption that you can run with Cloud Storage Manager.
Every business transformation needs a data strategy and the ability to manage increasingly complex environments. And while companies all over the globe are embracing the cloud, this shift has only exacerbated the associated complexity, compounded by the uncertainty brought about by the current global pandemic. You’ve got more data centers and attack surfaces to monitor and secure, in addition to greater unpredictability and risk.
In the last couple of decades, businesses have transformed from monolithic to service-oriented to microservices architecture. As a matter of fact, infrastructure has moved from physical servers to virtual machines to cloud and delivery models have changed from waterfall to agile to DevOps. This paradigm shift is being hailed as App Modernization.
Enterprise IT organizations which are not doing anything in the public cloud are becoming a rarity. A global survey conducted by O’Reilly prior to the onset of Covid-19 found that 88% of organizations are using cloud in one form or another, and public cloud dominates. Several surveys since March have shown that public cloud adoption is accelerating and with it a preference for multi-cloud computing.
In 1927, the world was introduced to the origins of Artificial Intelligence (AI) in the form of a robot in the movie Metropolis. Throughout nearly a century since then, movies have continued to iterate on the complexities of AI, as both a fun take on it and serious commentary on the potential concerns and consequences. This is all well and good, but as AI has continued to evolve, we find ourselves asking, “how can we actually use this to make our lives easier?”
