We are thrilled to announce Amazon EBS gp3 as a supported storage tier in the Turbonomic 8 Next-Generation Cloud Volumes Optimization Engine.
Co-authored by Ying Wei, Kshitij Dholakia and Rick Ochs
The Business Value of Cloud Storage Optimization
Storage is one of the top cloud services globally. AWS and Azure offer various types of storage services, such as AWS object storage, Azure Blobs, Azure Queues, and more. This blog will focus on the block level storage service, which is used with AWS EC2 instances and Azure Virtual Machine instances and provides boot and data volumes.
Amazon Web Services (AWS) recently wrapped up their annual conference. Due to the global pandemic, this conference was delivered exclusively online over a three-week period free for all attendees.
Cloud migration is simply the process of moving applications from the current environment to the Cloud. Traditionally, companies have been migrating on-premises VMs to the Cloud. However, recently, there is a rise in Cloud to Cloud migration among customers that want to avoid vendor lock-in and adopt a multi-cloud strategy. Whether you are just testing the waters or well-versed in Cloud computing, Cloud migration is a core process in the global digital transformation that's been accelerated due to the recent pandemic. According to IDC, “COVID-19 accelerated digitization as organizations were forced to innovate rapidly in response to a combination of regulations (e.g., working from home) and a rapidly changing business environment.” (Source: IDC Worldwide Whole Cloud Forecast, 2020-2024. Oct 2020, Doc #US46020420)
Choosing the right compute size for a VM is always a challenge. In the cloud environment, choosing the right size for a VM from hundreds of instances offered by the provider is even more challenging. Generally, app owners look at vCPU and vMEM usage of the workload to determine the configuration required for the particular VM. In Azure, there are more factors that need to be considered. In this article, we will focus on Azure’s VM IOPS requirements and how the new feature in Turbonomic 7.22.8 enhances the recommendation for continuously choosing the right size for VMs while assuring performance and reducing costs.
Like all major technology revolutions, the cloud brings with it the mysticism of new technology, the fear of the unknown, and the opportunity to master a whole new set of challenges. It can be awesome and scary at the same time - provisioning servers in minutes instead of months, automation that can replace whole teams, and whole new security attack vectors.
After the extensive review of the history of cloud computing over the last two decades, it is time to shift our gaze from the past into the future. In this post, we will examine and predict where the industry is heading in 2020 and beyond.
In the first article in this blog series, we covered the emergence of cloud computing during the 2000s decade:
In this second part of our series, we will examine the exponential growth the cloud computing field experienced during the 2010s decade.
As we enter a new decade, we decided to take a look back at the history of cloud computing and how the space has evolved from the early 2000s to today.
This article is the first part of a blog series. This article will cover the 2000s decade (2000-2009), which marked the emergence of the cloud computing space.
The modern Cloud computing space enabled many of the innovative technologies and solutions we have seen over the last two decades.
Technically, concepts of cloud computing can be traced back to the 1960s - but to me, the origin story of the modern cloud computing can be attributed to Salesforce.com, which was founded in 1999 and later launched one of the first successful public Software-as-a-Service (SaaS) offerings.
As cloud computing gained momentum during the mid-2000s, many organizations struggled to understand what exactly 'Cloud Computing' is. A memorable example is when Larry Ellison, the founder and CEO of Oracle Corporation at the time, shared his thoughts in 2008 on Cloud Computing (a must listen). While Larry Ellison’s provocative comments highlight his lack of understanding of cloud computing at the time, most people were in the same boat and did not fully realize its benefits yet either.
One of the contributors for the confusion was the common practice of ‘Cloudwashing,' where vendors took their legacy software solutions, made them accessible over the internet and marketed them as cloud solutions.