Have shared my thoughts on different topics discussed on 8K today. Hope my analysis is useful.
As mentioned before in this board, i have visited their office and spoken to couple of people during meetup events earlier. I only saw positiveness whenever i spoke to their experienced employees.Out of 600+ employees, 26 reviews in glass door and that too 6 negative reviews is not sample to discuss at all. every company will have unhappy employees, freshers during appraisal and they vent out in glass door. If there are 300+ reviews for 600+ people company then it needs to be analysed. else ignore.
Salary was delayed by 2-3 days in 8K miles chennai in two instances in last 3 years. Once during the annual appraisal period and another when their payroll provider was changed last year. this is normal to most of the organizations and i dont see red flags.
One of the senior boarder phreak pointed out 8K miles has expertise only in cloud migration and rudimentary automation but has nothing to do with AI/ML/Block chain. Iam not a financial specialst but surely experienced in the technology 8K miles is working on. Thats why i invested on them. Same way I am a fan of phreaks financial analysis posts.
Cloud transformation is one of their main business, it involves cloud architecture, cloud migration, serverless, engineering , automation, devops and Next gen managed services.
Cloud Migration: Low hanging fruit. Every cloud solutions company including our Big 5 does this and 8K also does this. they have hundreds of customers on this.
Serverless: One of the meetups i attended on 8k office was co hosted by 8K engineers and Amazon on Servless and they were discussing a GE healthcare customer case implemented by 8K on Servless. Customer GE. Vendor 8K
Cloud Transformation: I heard from their architects that they are involved in entire Novartis IT cloud transformation Journey for last 3 years for multi cloud. Cutting across cloud Security, Architecture, Automation and Next gen managed services. Next Gen Managed Services is a competency certification provided by AWS after deep technical evidence and customer proofs that 8K miles is using Machine learning algorithms to operate its cloud managed services. This is not a normal Managed Services program, please understand. 8K miles is also the core team that is involved in setting up a peta byte secured Big data cluster for Novartis for some pharma analytics. This SECURED Pharma big data cluster i heard is first of class for Novartis and Amazon. Heard this from Amazon rep. Customer Novartis. Vendor 8K.
DevOps + Automation: For Roche, 8kmiles has built a Multi region, Multi Cloud Devops pipeline platform using HPC clusters. This is like a science cloud where roche runs their genomics. Also built on AWS, Azure and Google Cloud. This i heard is a first of class in AWS globally. Customer Roche, vendor 8K.
Cloud managed Services: In Trimble, they are engaged on multi year Devops and next gen cloud managed services. Customer Trimble, vendor 8K.
Above clearly shows they are deep into cloud in following aspects like Cloud Transformation, Serverless, Next gen Managed services using ML, Automation and devops. I have listed with the customer names and the work they are doing for them after my discussions. You can cross verify this with any of 8K miles architects or with Amazon or if you have friends in their tech team. It is clear from the work (if you deeply work on this field) they are not like any other normal cloud player and very advanced. Thats why Amazon , Azure and Google recognizes them very well.
Please attend their webinars, meetups and talk to their tech people before classifying them.
Have already covered my thoughts on Cloud/ML areas . I am currently gathering the information on AI / Block chain.
AGM thought. Many of the questions i wanted ask is already discussed. but i have a suggestion :
If the question is not framed correctly, Their management can say 8K media questions are strictly out of scope of 8K Miles software services Ltd meeting. Suggest one senior boarder to coordinate with others and ask this properly.