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Helping clients take full advantage of ubiquitous cloud-based computing platforms
Without CaaS, or IaaS (infrastructure as a service), a company risks falling behind its competitors or becoming obsolete entirely. Big data applications, distributed architectures, multi-cloud containers, microservices, are impossible to orchestrate in real-time without the evolving cloud-as-a-service model.
The delivery of CaaS services via the Internet that enables businesses to access, store and share data across multiple locations. Organizations can better control costs and increase efficiency by accessing resources from anywhere, at any time.
CaaS cloud computing reduces the need for on-premises hardware investments and costly data center construction projects. This long run allows for operating expenses to become nullified.
CaaS provides flexibility for resource allocation, allowing companies to shift their focus away from traditional infrastructure concerns, while providing a seamless and scalable digital experience that can future-proof a company.
Software-as-a-Service is the delivery of software applications over the Internet and through other network connections. It is an extension of traditional software licensing, in which users are allowed to install software on their own computers or devices. In SaaS, the application is delivered via a hosted computer server that enables access to it by multiple users simultaneously.
With Platform-as-a-Service (PaaS) computing, the infrastructure and software are provided by the vendor, allowing customers to focus solely on their applications. Customers deploy applications onto the platform without having to worry about managing servers, operating systems, or other hardware requirements.
Data-as-a-service (DaaS) allows organizations to access data from any source at any time, via the Internet. Data can be accessed through a browser or through an application programming interface (API). DaaS applications are designed to make it easy for users to access and use data in their own way. DaaS can provide data to analytics model in the most direct and optimized way.
Function-as-a-service (FaaS) is a model that allows developers to create and run applications in the cloud without having to manage infrastructure. FaaS enables developers with high volume transaction to focus on building and deploying their applications, while the underlying infrastructure is managed by a third cloud provider. Serverless applications using FaaS take advantage of newer technology and container orchestration systems like Kubernetes.
“The need to provide reliable, always-on business platforms has fueled the need for cloud computing.”
Sue Yanovitch,
VP of Marketing,
IDG Communications, Inc.
Carving out a customized cloud approach to meet every organizational objective.
Helping clients take full advantage of ubiquitous cloud-based computing platforms.
Working with clients and partners to manage the costs and configurations of their ever-increasing cloud footprints
Moving to the cloud can be accompanied automation and ai at the same time
Google Docs
Hubspot
Mailchimp
Salesforce
Dropbox
Slack
Amazon AWS Lambda
IBM Cloud Functions
OpenFaaS
Urban Mapping
Xignite
D&B hoovers
Cockroach DB
AWS Elastic Beanstalk
Heroku
Windows Azure
OpenShift
Google App Engine
Microsoft Azure
Box
Arcserve
Oracle cloud
Microsoft Azure
Amazon Web Services (AWS)
DigitalOcean
Rackspace
Linode
Google Compute Engine (GCE)
Analytics-as-a-Service
Marketing-as-a-Service
Platform as a service market esteemed at $213.9 billion at CAGR of 18.6% by 2030.
Senior consultants with previous experience with these types of projects can set the stage for a well-framed engagement.
A focused session on your specific software applications, platforms, or projects. Typically this includes technical resources from both sides.
