DevOps & DataOps Services

Augmantis DevOps Services enable fast deployment, governance improvement, and scalability, beginning with code to data.
Leverage the power of automation, visibility, and good practices throughout the entire life cycle.

DevOps as a Service for Scaling IT & SaaS Teams

Growing beyond just developing fast code requires having a stable pipeline, automation processes, and solid data. Augmantis, leveraging eComStreet’s years of experience in enterprise software engineering, provides DevOps services that can be used to help scaling IT and SaaS teams automate their releases, improve their cloud infrastructure, and integrate all the processes via DataOps. Our DevOps Consulting in USA helps us carry out an assessment of your existing workflow, highlight any potential hurdles, and create a solid foundation for growth. Take a look at how our DevOps as a Service can aid you in cutting expenses, scaling infrastructure, and launching your product successfully.

DevOps as a Service

What is meant by DevOps as a Service?

What are the means through which DevOps Services speed up software delivery?

How do DataOps enable good quality data?

Priorities for Automation according to DevOps Consulting

DevOps and DataOps

Reliable Data Made Quicker Using
DataOps Services

With our DataOps solutions at Augmantis, we make sure that your data is ingested, tested, and governed in a manner
that ensures all teams receive accurate data for analysis.

Continuous Integration & Delivery (CI/CD)

Speed up your release process using automation pipelines for compiling, testing, and deploying the code without any human intervention.

Key Features

✔ Automated Build & Test Pipelines
✔ Multi-environment Orchestration
✔ GitOps-based Configuration

Infrastructure as Code (IaC)

Deploy, orchestrate, and scale your cloud infrastructure utilizing version-controlled, immutable code scripts.

Key Features

✔ Terraform & Pulumi Scripting
✔ Immutable Infrastructure Deployment
✔ Environment Duplication

Containerization & Orchestration

Deploy robust, scalable microservices architectures leveraging cutting-edge container orchestration solutions.

Key Features

✔ Optimizing Docker Images
✔ Cluster Management for Kubernetes
✔ Service Mesh Deployment

DevSecOps & Compliance

Integrate security testing within your development pipeline to detect vulnerabilities early on.

Key Features

✔ Static Application Security Testing (SAST)
✔ Dependency Scanning
✔ Secrets Management & Rotation

Cloud FinOps & Optimization

Have full visibility into your cloud spending and automatically optimize resource usage to avoid unnecessary spending.

Key Features

✔ Cloud Resource Rightsizing
✔ Orchestration of Spot Instances
✔ Automatic Cost Anomalies Detection

Site Reliability Engineering (SRE)

Ensure system availability and flawless user experience through advanced telemetry and automated incident resolution.

Key Features

✔ Service Level Objective (SLO) Monitoring
✔ Automated Incident Resolution
✔ Distributed Tracing & Telemetry
Work With Us

Looking to Take Your Deployment to the Next Level with DevOps Automation and AI DevOps?

What is the point of using inefficient manual processes when you have the option to utilize intelligent automation? Let us at Augmantis help you develop the optimal approach.

World’s Top-Notch Data Teams Leverage DataOps

Data teams that have reached excellence do not depend on manual workarounds and scripts. These teams embrace DevOps Services and a DataOps approach when there are frequent pipeline issues, inconsistent data quality, and delays during releases with business growth. Thanks to automation in testing, versioning, and continuous monitoring, teams deliver reliable data quickly and keep everything within a predictable workflow. Leveraging DevOps Consulting by Augmantis allows companies to evaluate existing architecture, fill any gaps in governance and reliability, and lay a scalable foundation.

  • Secure by Design
  • One Connected Data Hub
  • Live Pipeline Performance
Data teams using DataOps

What We Build — AI in Practice

Explore how Augmantis has helped organizations transform complex business challenges into measurable outcomes through strategic AI consulting, intelligent automation, and data-driven innovation.

Industries We Serve

We go deep in the industries we serve—not wide. Our production AI expertise spans insurance, warranty, healthcare, fintech, retail, automotive, logistics, and beyond.

Healthcare

Innovative Technology for Better Patient Care.

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FinTech

Secure Digital Banking Solutions.

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Insurance

AI Powered Risk Management.

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Supply Chain & Logistics

Optimizing Supply Chain Operations.

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Retail & Ecommerce

Modern Shopping Experience.

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Automotive

Smarter Mobility with AI.

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Edutech

Personalized Learning with AI.

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Transportation

Smarter, Safer & Connected Mobility.

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Restaurant

AI-Powered Dining Experiences.

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Warranty

AI-Driven Warranty Management.

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Real estate 

AI-Enhanced Real Estate Solutions.

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The Augmantis' Tried & Tested Approach to Delivering DevOps Services

Augmantis has a well-defined and repeatable delivery methodology which makes your DevOps/DataOps journey straightforward and efficient.

Strategy and Roadmap

Understand your current workflows, tool chain, and delivery requirements in order to determine the areas where automation can yield the highest value in terms of time savings, reliability, and cost reduction.

Platform Design

Determine a strategy for DevOps and DataOps, aligned with your business needs, with prioritized initiatives, tools, and success metrics defined.

Data Preparation

Establish consistent enterprise-wide data and environments so that pipelines operate using clean and well-governed inputs.

Architecture Design

Plan an architecture for cloud and pipeline deployment that is integrated and aligned with your business operations.

Develop and Deploy

Implement and deploy CI/CD and data pipelines within your production environment with inherent testing and security included.

Monitor and Optimize

Measure pipeline performance, reliability, and costs, and optimize workflows continuously.

Driving Growth in Your Business with Engineering Solutions that Scale, Are Successful, and Sustainable

Having helped over 2,000 companies with their digital transformation using Augmantis, let us show you how
our DevOps and DataOps skills can help your company grow, save time, and succeed.

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INNOVATE

New Ideas

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DEVELOP

Quality Solutions

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DELIVER

On Time, Every Time

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DRIVE SUCCESS

Business Growth

Transform Your Organization with
DevOps and DataOps for Your Company

With Augmantis, your company can take steps toward transforming your organization by converting your delivery and data challenges into reliable processes, thanks to years of experience in engineering and delivery.

Frequently Asked Questions

Explore common questions about DevOps Services, DataOps, platform engineering, and automation solutions that help enterprises deliver software and data faster and more reliably.

DevOps services utilize common tools, automation, and feedback to bring together development and operations. These services include issues such as release engineering, infrastructure, monitoring, and continuous integration/continuous delivery pipelines. They are essential since they enable teams to deliver software that is stable at the pace demanded by the organization.

The automation of software development, testing, and delivery is what DevOps is all about. While DataOps uses the same methodology to ensure that data produced from pipelines is timely, high-quality, and controlled for analytics, MLOps applies the process to train, deploy, monitor, and retrain models through machine learning. All three processes manage different kinds of assets, but still aim for speed and reliability.

The infrastructure is coded, automatic deployment is done, and container orchestration is employed by Cloud DevOps Services in order to provide the environments rapidly and effectively. The manual configuration time is reduced for the teams, deployment is made more reproducible, and applications can be scaled up or down depending on requirements.

Hand-coded builds, testing, and deployment take a lot of effort and are bound to have errors. With DevOps automation, such problems are eliminated since code integration, testing, security, and release are all automated. Teams can speed up their releases while still maintaining quality because of frequent updates and quicker failure recovery.

Testing, versioning, monitoring, and governance capabilities are provided by DataOps Services to improve data workflows. Next, without any human interaction, Data Pipeline Automation helps move the data from the source to the destination and detect errors and schema changes in the process. Both work together to reduce broken pipelines, improve data quality, and supply data consistently for AI and reporting.

The internal platform is built by the Platform Engineering team through conventional means, making sure that there will be no requirement of reconstructing the whole infrastructure each time the code gets deployed. The development of CI/CD Pipelines takes care of ensuring the automated process from committing the code to its deployment in production.

Think about DevSecOps services whenever security testing causes delays in the process of releasing products, compliance requirements become greater, or vulnerabilities are found at later stages of your software development life cycle. The need for AI in DevOps arises when you have too many logs, incidents, and alerts to analyze on your own, as it can predict failures and optimize processes.

Augmantis AI combines our experience with enterprise engineering with our structured delivery process. We first examine the existing processes in your company, identify areas for improvement, and develop a pragmatic plan of action before implementation. The DevOps services offered by us include practical outcomes such as fast deployments, cost reductions, and increased reliability.

We start with the evaluation of your applications, your infrastructure, and your delivery objectives. After that, we create your cloud architecture with Infrastructure as Code, containerization, and CI/CD pipelines. Performance and scalability tuning are part of the process, as well as monitoring and cost controls from day one.

Yes. Augmantis AI provides DataOps Services that automate the process of ingesting, testing, governing, and monitoring data, as well as Platform Engineering services that provide standardized and self-service environments for your teams. Both can be offered individually or as a combination.

Absolutely. We integrate software delivery, data pipelines, and machine learning processes in a seamless manner. CI/CD pipelines take care of code and infrastructure release, MLOps looks after the training and deployment of models, while AI DevOps takes care of intelligent monitoring and forecasting. This way, you get rid of team silos and have a unified approach to software delivery and operations.

Deployment, builds, and tests are all automated. There is security embedded in the process. It saves on manual labor, finds any security gaps at an early stage, and ensures that compliance remains consistent rather than being something to do right at the end. Deployment becomes faster and has fewer failures.