How can you choose the right cloud service model for your Sales Engineering team?

Selecting the right cloud service model for Sales Engineering teams is a strategic decision that requires a comprehensive understanding of team requirements and a careful evaluation of available options. Considering factors such as scalability, integration capabilities, security, cost, performance, user accessibility, vendor reputation, and future growth potential ensures that the chosen model aligns seamlessly with the unique needs of the Sales Engineering team. This strategic alignment leads to enhanced efficiency, collaboration, and overall success for the team and the organization as a whole.

How to think about SaaS for your organization or startup. SaaS is highly scalable and secure software infrastructure that is able to integrate with the multiverse as an application layer/cloud services solving problems for an operations strategy. How we use SaaS in our day to day operations needs to evolve, these are all tool designed for creating, evolving and building businesses, brands and ideas for a low monthly fee. Think about Canva, Google Drive, Microsoft 365, all companies that have a brand strategy for both personal and commercial use. Welcome to the digital economy where you can start an empire with the right idea and click of a button. Welcome to the future, my fellow SaaS lovers. - Juandré //

Intelligent sales management through a SAAS platform allows the team to achieve sales goals quickly and safely, as long as the customer always has the necessary and updated information at hand on a platform that has no latency, receives updates and, above all, generates transparency and user trust

We all love building cloud infrastructure, but how do we manage these resources at scale and build in a consistent method? Let me introduce you to Terraform, a tool I use for provisioning infrastructure with code, or a declarative configuration language. It works with all major cloud platforms (AWS | AZURE | GCP). Spin up a new EC2 instance in no time, create a new S3 bucket as easily as a Google Drive folder. Running low on allocated resources? No problem, just scale these resources using code. Infrastructure as a Service is highly scalable, a robust architecture designed as a cloud/operations service subscription. Welcome to the cloud, where building, provisioning, and securing are just a few code blocks away. - Juandré //

Business & Cloud: Before choosing a cloud provider, first understand the basics of a cloud model. Work through what product you are building and then navigate through the layers, deciphering any complex requirements for both the cloud service provider and other geopolitical considerations for security, data, or regulations. Build a product with these requirements in mind, and your product will evolve with best practices based on statutory and legal requirements. This should provide a risk profile for the platform that will be used, ensuring control and ownership over data and the security layers required to meet your needs. With the cloud, you can build cost-effective solutions at scale—just prioritize security. - Juandré //