Cloud native is a term that’s been around for many years but really started gaining traction in 2015 and 2016. This could be attributed to the rise of Docker, which was released a few years prior. Still, many organizations started becoming more aware of the benefits of running their workloads in the cloud. Whether because of cost savings or ease of operations, companies were increasingly looking into whether they should be getting on this “cloud native” trend.

There’s no denying that cloud adoption is accelerating at exponential rates, and as that trend takes hold across industries and across the globe, increasing attention is being focused on the strategic importance of cloud resource optimization. GigaOm’s latest Cloud Resource Optimization Radar Report highlights why organizations should consider optimization as a strategic priority from day 1, rather than something to consider as an afterthought.

Containers are superior to Virtual Machines (VM) in many aspects, including the benefits of being lightweight, easily scalable, highly portable, etc. AWS provides two primary container services i.e., Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic Kubernetes Service (EKS). Although both ECS and EKS are growing in popularity but achieving security while using these services is relatively a new topic.

I've never really been sure how DevSecOps differs from plain-old DevOps, but over the past year I think there's finally something enough there to have a notion. To be concise, DevOps-think makes software delivery better by moving operations concerns closer to development with the help of a lot of automation and process change.

We are excited to announce that D2iQ and Nutanix have partnered to provide a best-of-breed hybrid cloud solution for customers building cloud-native applications for Day 2 operations. The solution has been validated Nutanix Ready and the companies’ have a collaborative support relationship.

In this blog, we will be introducing the concept of High-performance computing (HPC) and HPC clusters. We will also introduce a few categories of practical workloads important in the HPC space. This blog is a part of a series of blogs on HPC where we will introduce you to the world of HPC.

Data masking is a technique of hiding sensitive data from certain users who should not be able to view or access the actual values. This post will look at the reasons why you might choose to implement data masking and discuss both dynamic and static data masking techniques, and when it is appropriate to use each of these.

To embed or not to embed: That is the question. At least, that’s one of the questions that companies have to answer as they decide how to implement Site Reliability Engineering. They can either embed SREs into existing teams, or they can build a new, separate SRE team. Both approaches have their pros and cons. The right strategy for your company or team depends, of course, on your needs and priorities.

Another conversation that was recently had during our weekly field enablement office hours here at Shipa was “what exactly is a microservice?”. Certainly, a term that has been used to describe a paradigm and architectural practice. One can argue that the breaking down or decomposing of applications has been going on for decades and is not a monumental shift in computing. There are several definitions of microservices from a purist definition to a definition resembling a movement.

When it comes to managing your team’s access and permissions to cloud environments, it’s important to grant the right permissions to your users—no less and no more than they need. Different teams can require different levels of access, for example cloud budget managers and users will require different permissions than the DevOps engineers who are operating and managing the cloud on a daily basis.