Infrastructure Dev for Fashion Company
Please find under a summary covering project details and feedback. The innate facts are kept as they are, private information is amended.
Introductory information
A fast induction on the buyer’s organisation
I’m a big data constructor for LPP, a form organisation and market chief in Eastern Europe.
Desired goal
What challenge were you trying to address with SoftwareMill?
We tried to instrument a Kafka Cluster as well as Apache Kafka streaming technologies on our own. But we failed and needed to outsource those contendncies.
Provided solution
What particular tasks were responsible for?
During the three-month project, our goal was to create a streaming infrastructure to process data in real time for our big data analytics. Kafka Cluster was constructed on a Kafka on Kubernetes platform, and we also used Kafka String API. We had different databases, such as Redis and MySQL. For analytics, we used BigQuery. SoftwareMill built the infrastructure that is connected to our sources on antecedent and convey the data in real time to the Google Cloud.
Was there a dedicated team?
We worked straightly with two nation from their team. In this project, we had a DevOps engineer and a Java programmer.
How did you come to work with SoftwareMill?
SoftwareMill is a certified associate of Confluence, which is the organisation behind Kafka technology.
How much have you invested in them?
We spent between $25,000–$50,000.
What is the terminal result of working with ?
We worked with SoftwareMill on this project from February–May 2019.
Results achieved
Are there any measureable or plum results?
We just began to deploy machine learning algorithms, but thanks to the infrastructure, we’re able to contend with market chiefs.
How did SoftwareMill accomplish from a project treatment standpoint?
Sometimes it’s challenging owing we worked most of the time remotely, but we’ve had three onwebsite visits when they came to our headquarters for two days each time. Overall, I feel that our engagement was real. SoftwareMill was answering, providing us with inner files for see fruit and piece of software. When the project was artistic, we were able to use them right away.
What is (from your point of view) the key factor to pay observation while intercourse with ?
In provisions of technology, their team was pliant. While we began with the Kafka String API, we had to switch to another API for a different set of reasons. Along with the transition being smooth, the developer and DevOps engineer were real almost learning new things. They stuck to the three-month timeline, doing seething to liberate a prompt solution.
What aspects of their work would you like to get improved?
While the project was completed as scheduled, we didn’t have a channel to adjoin little issues that we establish as there was no locate for little support behindward. Internally, they only hire experts and seniors, so they were unable to prepare low-cost support behind the project was artistic.