What is Systems Engineering as a Service?
SEaaS comprises a variety of services that span from AiOps,
DevOps, Platform Engineering and SecOps to SRE and MLOps.
DevOps, Platform Engineering and SecOps to SRE and MLOps.
Why is
Systems Engineering
Important?
Waste of time, money, materials, machine time, energy, and other resources can be reduced with the aid of system engineering. They come up with ways to improve procedures and systems for engineering, enhancing quality and output. Therefore, one may grasp the significance of system engineering service in industries from these fundamental criteria.
“SEaaS is a division of Innovation Incubator Advisory”
Our Services
01
DevOps
We can assist you if you want to enhance the delivery of your software, create a culture of agility and automation, hasten product releases, and utilize the power of the cloud. The first stage is to embrace a contemporary approach to software development and release by merging software development and IT operations, often known as DevOps.
We are DevOps professionals, and we are excited about the most recent developments in DevOps strategy, regardless of whether you are startups or small-to-medium businesses.
In the US, Canada, and the Middle East, we offer the best devops consulting services.
CI/CD Pipelines
Increase the frequency and pace of releases so you can improvise and improve your product faster. Continuous Integration and Continuous Delivery are practices that automate the software release process, from build to deploy. This means a competitive product regardless of time and competition.
Cloud Migrations
Move data and applications to a more effective and secure environment than on-premise servers. On-premise to Cloud migrations & Cloud to Cloud Migrations.
SRE - Site Reliability Engineering
Proactively seeks to convert production environments into a more scalable, robust, and secure state.
Process Automation
Automation is an integral part to speed up cloud provisioning with infrastructure as code. This service model helps us to deploy stacks without human intervention. We sure can spend less time managing those resources and more time focusing on applications that run in Cloud.
Monitoring and Logging
Leverage modern DevOps tools and technologies and follow the best practices for smooth monitoring and logging process.
Hybrid Cloud
Take advantage of public cloud options like Google Cloud , AWS etc while maintaining the existing On-Premise infrastructure.
Pilot Frameworks
Identifies the best DevOps model and toolchain for business needs and optimizes your existing IT structure and resource usage to meet your goals faster and with fewer errors.
Infrastructure as Code
Reduce or eliminate the need for manual infrastructure management and provisioning processes. By committing these infrastructure configuration specifications to code and maintaining detailed version control notes.
Cost Optimization
Cost savings is one factor that every business entity looks at in its run for profitability. Cloud bills skyrocket for multiple reasons, such as over provisioned resources, unnecessary capacity, and poor environmental visibility. Cost optimization helps organizations strike a balance between cloud performance and spending.
Testing and Control
The amendments by the developers are validated by creating a build and running an automated test against them, and only upon successful completion, the changes are deployed. In the case of Continuous Integration, a tremendous amount of emphasis is placed on testing automation to check on the application. This is to validate if it is broken whenever new commits are integrated into the main branch.
Tools / Technologies used in DevOps
02
SecOps
Cyberattacks have become one of the biggest hazards facing businesses of all kinds in recent years.
A single cyberattack can result in significant losses in money and reputation.
So we identify, defend against, and reduce cybersecurity risks.
Our specialized, industry-leading cyber security services(SecOps) will safeguard your network and safeguard what matters most to you.
Tools / Technologies used in SecOps
03
MlOps
Build and Deploy Machine Learning Models into production safely, quickly, and in a scalable fashion. By providing the following advantages, implementing MLOps principles helps you complete ML initiatives with a shorter time to market.
ML/AI Continuous Training
Move data and applications to a more effective and secure environment than on-premise servers. On-premise to Cloud migrations & Cloud to Cloud Migrations.
CI/CD Pipelines for ML
Automated CI/CD system for ML pipelines in production. The automated CI/CD system lets your data science team rapidly explore new ideas around feature engineering, model architecture, and hyperparameters.
Frequently Asked Questions
DevOps has had a significant impact on virtually every business that relies on the delivery of software and other application endpoints, such as various devices, web, and mobile applications. We have deep experience in Healthcare, Real Estate, FinTech, Automotive, Social Retail, Outdoor sporting and Telecom.
MLOps addresses several issues that are commonly faced when deploying, scaling, and maintaining ML models in production environments. This includes AI Model reproducibility, model validation and testing, scalability, CI/CD, Model compliance and governance and Model life cycle management.
Yes of course. Please submit a request by filling the form and our experts will get back to you.
Let’s get in touch!
Do you need Systems Engineering services such as AIOps, DevOps, SecOps, QAOps, MLOps, SRE or platform engineering. Please submit this form now.
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