The year is 2022, and Kubernetes is wreaking havoc on software delivery as we know it. Applications are going through modernization programs so they can be converted into microservices, but they are coming out the other end as distributed monoliths. Next thing you know, services exist across several clouds and even in your data centers. And, of course, the large majority of enterprises aren’t just greenfield.
Many have a combination of technologies stacked over decades, including mainframes.
The public cloud continued to dominate spending in 2021. Gartner forecasts worldwide end-user spending for public cloud to reach $397.4 billion by 2022. With increased velocity; automation continues to be a critical business imperative for the enterprise. Getting automation right means getting all the appropriate teams pulled into the process early on (shift left). Lightlytics is a new SaaS product on the market that aims to make DevOps for cloud infrastructure as agile as software delivery.
New to cryptocurrency? Check this out for a quick primer. One of the giant debates, often a significant source of criticism, is Bitcoin’s energy efficiency (or lack thereof). This criticism may also be expanded to any other currency, or blockchain backed technology that leverages proof-of-work as a consensus mechanism. Innovation is inherent in technology. New ideas, methods, and optimizations come along to take something, add new features, and make it more efficient.
In Part 1, we laid out our foundation. In Part 2 and Part 3 we connected various networks (both cloud and on-premises) and provisioned NGFWs that scale to real-time capacity. By default, networks connected to our corporate segment have full-mesh connectivity to each other. Let’s build some policies in code that can work with the groups we created to produce logical micro-segmentation that mirror a few real-world use cases.
Your browser does not support video.
Check out Part 1 and Part 2 where we put together a scalable foundation and connect cloud networks from AWS, Azure, and GCP. For Part 3, we will bring on-premises back into the spotlight and connect some sites over Cisco SD-WAN and IPSEC.
On-premises remains a strong focus for many enterprises through 2021 going into 2022. Some workloads, as noted by Amazon CEO Andy Jassy, may never move to the cloud.
In Part 1, we started with a scalable foundation that can adapt over time as the business grows and adjusts to changing markets. With Alkira’s Network Cloud, we take a cloud native approach in enabling our customer’s transformation. No appliances need to be provisioned in remote VPCs or VNets, and no agents need to be installed on workloads. Getting started is as easy as kicking off a build pipeline. For Part 2, let’s connect some networks from AWS, Azure, and GCP.
