Anant Corporation Blog: Our research, knowledge, thoughts, and recommendations about building and managing online business platforms.
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.Continue reading
With 83% of enterprise workload projected to be running on the cloud by 2020 as per Forbes, it is necessary for companies to have a definitive cloud adoption strategy. Also noteworthy is the distribution of projected adoption of the type of cloud with 41% of enterprise workloads to be running on the public cloud (AWS, GCP, IBM, Azure, and the likes). Another 20% are projected to be taking the private cloud route and 22% opting for the hybrid cloud.
Adoption of the cloud in a business setting is not an overnight exercise. Companies need to acquire the skills and knowledge before initiating the cloud migration process, which needs to be backed by a solid strategy. With proper planning and execution of the strategy, companies can start reaping the fruits of the cloud. The top practices, a company should adopt for successful cloud adoption are outlined below:Continue reading
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.Continue reading
Scraping website data is like a magic trick that lets you extract web data without having to copy and paste. It can all be done through some lines of code if you know basic Python syntax.
Large companies are using this technology to grow their business. Even Google scraps website data to analyze content and and rank them based on the relevance to your Google search. There are many use cases of web scraping in research, e-commerce, price comparison, market analysis, and lead collection. Regardless of the problem you’re trying to solve, these 5 open source libraries will help you scrape website data.Continue reading
I decided to write this article because recently customers have been asking if they should move to the cloud and the steps for migrating their On-Premise Architecture to Cloud Scale. If you have ever worked on a Sitecore Project or any software project with multiple team members, then you are well aware of the pitfalls of On-Premise management. Scaling your platform in the cloud not only gives your team development and design benefits but also allows them to make strong cost-saving arguments to corporate management.