Business Platform Team

Anant Corporation Blog: Our research, knowledge, thoughts, and recommendations about building and managing online business platforms.

Tag Archives: data platform


Architecting & Managing a Global Data & Analytics Platform Part 3: Deploy Frameworks that Scale on any Cloud (Containers, Azure, AWS, VMs, Baremetal)

It’s much easier to iterate your platform on containers before deciding to use more “traditional” computing systems in Staging or Production. It’s not a requirement to use Docker or Kubernetes, but even if the system is using containers all the way up to Production, many of the DevOps cycles can be done more quickly because of how quickly environments can be refreshed.

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Architecting and Managing a Global Data & Analytics Platform – Part 2: Foundation for Properly Managing a Business Data & Communications Framework

The Anant STACK process is fairly generic in that it can be applied to any technology whether it’s SaaS, PaaS, IaaS, Open Source or Commercial. You can always elect to implement a full-blown ITIL service strategy if you already have it at your company. Our process is meant to be an easy to understand enterprise architecture process.

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Top Cloud Trends to Watch Out for in 2019

Cloud computing is an ever-evolving organism, which spins out new trends and technologies every now and then. With such high versatility comes a high number of options, which often cause headaches for technologists. With the projected growing adoption of cloud, expectations, and the necessity to find the best solutions will only grow as companies try to remain competitive.

As reported by Forbes, almost half of IT spending in the year 2018, was on cloud-based services and this is predicted to reach 60% of all IT spending and 60-70% of all software, services and technology speeding by 2020. Thus it becomes necessary to pay attention to cloud demands, while also keeping an eye on evolving technologies to better use it to fulfill business needs. In this article, we will see some of the technologies that have the potential to trend in the cloud computing domain in 2019.

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Architecting & Managing a Global Data & Analytics Platform Part 1: Foundation of a Business Data, Computing, and Communication Framework

This series covers different aspects of architecting and managing a global data & analytics platform. This is not as simple as choosing some technology and installing it. This work involves proper coordination of people, processes, information, and systems to ensure that the business needs are met at all times. We will cover the components of the “SMACK” stack although many people may not necessarily use Akka or Mesos, they will find much value in our coverage of Cassandra, Spark, and Kafka. We will also cover the Anant “STACK” set of procedures which we use at our company to manage data & analytics platforms for our clients.

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Distributed Real-time Data Processing with Spark in Business Platforms – Part 2/6

Real-time data processing is the current state-of-the-art in business platform data engineering practices. Long gone are the days of batch processing and monolithic ETL engines that are turned on at midnight. Today’s demands come from the number of mobile users and things on the internet. Mobile phones and tablets have steadily increased in the realm of customer experience as companies create mobile only or mobile-first interfaces to interact with their commercial systems or business processes. Similarly, there are other “things” in the “Internet of Things” (IoT) such as rental bikes and scooters, key-less home locks, as smart home thermostats.

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