Business Platform Team

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

Author Archives: Rahul Singh


cassandra.link

Cassandra.Link – v0.4

​Our team is passionate about Realtime Business Platforms, especially ones we help build using our standard framework of Cassandra, Spark, and Kafka. We built this site because we needed a site like it. One place to know what’s going in the Apache Cassandra community from all the different viewpoints. Since there are now different commercially backed variants of Apache Cassandra such as Datastax, DDACS, Scylla, Yugabyte, Elassandra, and Microsoft’s CosmosDB, we felt that out of self-interest none of those folks were going to come together to make a resource like the one we craved.

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Architecting & Managing a Global Data & Analytics Platform Part 5: Monitoring & Scaling a Distributed Business Data & Communications Platform

Once a new distributed platform is implemented, any growing organization needs to be able to properly scale the system. Scaling a system for the sake of scaling it doesn’t make sense because cloud resources cost money. The best way to see when and how to scale is to properly monitor the software.

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Architecting & Managing a Global Data & Analytics Platform – Part 4: Building a Developer-Friendly Platform on top of a World-Class Framework

Thus far we’ve discussed how Cassandra, Spark, Kafka, Docker, and Kubernetes can be useful to build a global data platform. These components are powerful in their own right and managing them is a little simpler if we decide to use commercial components from DataStax and Confluent.

There are other tools and services we can use to further accelerate our timeline to deliver a world-class global data and analytics platform. Although bringing up a distributed data (Cassandra), distributed computing (Spark), and distributed communication (Kafka) is a great start for a framework, it still needs a few more components to make it a “Platform” which allows quick creation and delivery of services that an enterprise can use.

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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 & 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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