Hybrid & Private Cloud Optimizations

Performance at the Forefront of Platform & Infrastructure Layer Upgrades.

Cloud optimization allows businesses to reduce their Cloud maintenance bills from 6- to 5- or even 4-figures and achieve scalability and sustainability

Focusing on efficient use of public & private Cloud services brings immediate and tangible financial benefits.

With public Cloud infrastructure-as-a-Service (IaaS) and platform-as-a-service (PaaS), organizations are billed on a continuous basis as they consume services, rather than on a one-off basis as they do when they acquire the capacity of their data center.

In cloud computing, companies find it difficult to generate accurate cost estimates. They often have to pay bills that they cannot seem to explain and struggle to identify the items that are being spent. As a result, financial management is often overlooked until costs spiral out of control.

At rinf.tech, we drive Cloud cost optimization by monitoring utilization and capacity metrics.

We schedule and rightsize allocation-based services, leverage programmatic discounts, and modernize legacy applications to make the most out of services being provided.

Most PaaS are geared towards software development and offer several advantages.

For example, a Platform-as-a-Service allows our developers to change or update the operating system frequently, and our dev teams to collaborate effectively on various projects.

We use Function-as-a-Service (FaaS)

to enable our Cloud application developers to run and manage microservices-based apps.

FaaS is a valuable tool if you’re looking to efficiently and cost-effectively migrate applications to the cloud.

FaaS benefits:

Focus on code rather than infrastructure

With FaaS, you can partition your server into features that can scale automatically and independently, so you don’t have to manage your infrastructure. This allows you to focus on the source code and can dramatically reduce time to market.

 

Pay for what you use, and when you use it

With FaaS, you only pay when the action takes place. When the action is completed, everything stops – the code doesn’t run, the server is idle, and there are no costs involved. Thus, FaaS is cost effective, especially for dynamic workloads or scheduled tasks. FaaS also offers superior total cost of ownership for highload scenarios.

 

Scale up or down autiomatically

FaaS scales functions automatically, independently, and instantly as needed. When demand falls, FaaS scales back down automatically.

 

Build and benefit from robust Cloud infrastructure

FaaS offers inherent high availability because it is spread across multiple availability zones for each geographic region and can be deployed in any number of regions at no additional cost.

R&D Cloud Tech Practice

Cloud Architecture

Expertise

Use Cases

Application Layer
Python, GoLang, RUST, bash scripting, ELKm NodeJS optimization, FaaS functions
ELK statistics, Python, GoLang, FaaS functions, AI Bench
Platform Layer
Kubernetes, KNative, Docker, OpenFaas, Fission, Container encryption, Service mesh, Kata, Firecracker
Cloud platforms for workload optimization, Cloud NodeJS engine optimization, Private cloud FaaS optimization
Infrastrucure Layer
KVM, QEMU, CPU pinning, NUMA
Optimization of FaaS platforms
Hardware Layer
Intel RDT, Intel Optane, Intel DPDK, Intel SPDK
Optimization of FaaS platforms

Cloud Architecture

Application Layer

Expertise

Python, GoLang, RUST, bash scripting, ELKm NodeJS optimization, FaaS functions

Use Cases

ELK statistics, Python, GoLang, FaaS functions, AI Bench

Cloud Architecture

Platform Layer

Expertise

Kubernetes, KNative, Docker, OpenFaas, Fission, Container encryption, Service mesh, Kata, Firecracker

Use Cases

Cloud platforms for workload optimization, Cloud NodeJS engine optimization, Private cloud FaaS optimization

Cloud Architecture

Infrastrucure Layer

Expertise

KVM, QEMU, CPU pinning, NUMA

Use Cases

Optimization of FaaS platforms

Cloud Architecture

Hardware Layer

Expertise

Intel RDT, Intel Optane, Intel DPDK, Intel SPDK

Use Cases

Optimization of FaaS platforms

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