Agile Stacks is motivated to help our customers save money as they deploy the compelling Kubernetes container orchestration platform. We have had several customers save a significant amount of money using our ever-expanding capabilities of using AWS Spot Instances. For example, Zeeto reduced cloud costs by 75% by adopting the Agile Stacks DevOps automation platform SuperHub on AWS. The company completely automated the software delivery process using an infrastructure-as-code approach and maximized their savings by deploying on Spot Instances.
A recent search on Indeed.com shows an open request for data scientists at approximately 3,600 job postings. But being a data scientist doesn't mean needing to be an Ops engineer. There is a difference:
- Data Scientist - as widely defined, is an individual with the primary role of sourcing data to be used in algorithmic and statistical analysis to identify trends, insights and other relevant information
- Ops Engineer - aka Application Operations Engineer, is pragmatically the technical staff charged with the optimization, maintenance, monitoring and governance of in-production business systems.
Machine Generated Code,
Infrastructure as code (IaC) delivers the promise of agility and speed to IT Ops teams as well as developers. Yet new terms seem to be blended or, worse, misused in the context of what value can be achieved.
Component as a Service,
Component based software engineering,
IT configuration management,
open source software,
Service Oriented Architecture,
source code management,
Full Stack Deployment,
Don’t downplay your technical credibility because that is one of the main reasons you were discovered in the first place. All too often, the current modus operandi for a marketing or sales conversation is about 'business value.' While there is certainly nothing incorrect with that approach, we recommend not losing yourself in the generalities of solving business problems that you forget who you are.