DevOps as a Service Enterprise Platform

Building Continuous Delivery and Continuous Integration Security Infrastructure Pipeline to deploy on On-Premises and Public Cloud and Enabling DevOps Infrastructure Management and Automation.

Continuous Delivery DevOps Platform

NexaStack provides DevOps as a Service and Unified DevOps Platform for Continuous Delivery Pipeline for applications and Big Data supporting Microservices, Lambda Architecture.

Accelerate Data Driven Application Delivery with Visibility and Security using NexaStack DevOps Platform.

NexaStack DevOps Solution help you Automate, Monitor, and Analyse Application Delivery with Continuous Container Delivery Pipeline which helps you getting more saving on the cloud.

NexaStack DevOps Platform Service Offerings

NexaStack provides highly customisable solution for Enterprises. Nexastack provides Flexibility, Security, and Stability for an Enterprise application and Big Data Infrastructure to deploy on-premises and Public Cloud with visibility and security of devops delivery pipeline with cognitive insights using Machine Learning and Artificial Intelligence.

What is there in NexaStack - Unified DevOps Platform

  • Continuous Delivery Pipeline Tools
    Continuous Delivery Pipeline

    DevOps Platform Provides flexibility and agility to Build, Manage and Secure Continuous Delivery Pipeline for application and Big Data Loads. Our DevOps Platform supports DevOps For Java, DevOps for Python, DevOps for Golang, and DevOps for .NET applications.

  • Best Monitoring Tools for DevOps
    Monitoring, Alerting Platform for Continuous Delivery Pipeline

    DevOps Platform enables the monitoring and alerting for Microservices, Applications and Infrastructure. It also provides Monitoring for Docker and Monitoring for Kubernetes along with Microservices for Big Data.

  • DevOps in the Cloud
    Multi-Cloud Support for DevOps

    NexaStack provisions Continuous Delivery pipeline and providing integration with multiple cloud platforms such as AWS, Google Cloud, Microsoft Azure and enables to build abstraction layer between Multi Cloud platform APIs.

  • DevOps Deployment Tools
    Docker Deployment and Kubernetes Deployment

    DevOps Platform enables you to Build, Manage, Monitor and Secure Microservices Architecture on Docker and Kubernetes for Java, Golang, Python, and .NET based applications.

  • Machine Learning Approach to Log Analytics
    Artificial Intelligence and Machine Learning

    DevOps Platforms provides AI Based Monitoring with Anomaly Detection, Log Analytics, and Log Mining for the application and enables for Time Series Analysis based Anomaly Detection with Machine Learning and Deep Learning.

NexaStack - DevOps Platform Multi-Cloud Support and Solutions

AWS Cloud Solutions

Amazon Web Services (AWS) offers reliable and scalable Cloud Computing Services.

Solutions for
AWS
Google Cloud Solutions

Google Cloud Platform (GCP) lets you build and host applications and websites on Google Cloud Infrastructure.

Solutions for
GCP
Microsoft Azure Solutions

Microsoft Azure offers enterprise grade cloud computing platform for building, deploying, managing applications.

Solutions for
Azure
Container Solutions - DevOps & Kubernetes

Deploy, Manage and Maintain Private & Hybrid Clouds across any Infrastructure using OpenStack & Kubernetes

Solution for Container &
Private Cloud

Proof of Concept And Product Demo

  • If you are an Enterprise or a Startup looking for customized Demo of our DevOps Platform, then get in touch with us for Consulting and we will provide you Proof-of-Concept. DevOps Solution architects will talk to you for Consulting and Migration Solutions. DevOps Consulting Services and Generate Analytics report which will Outline the actionable points for Continuous Delivery Pipeline Roadmap.

Data Driven Enterprises with DataOps

Talk to Experts for Continuous Delivery to Analytics, Machine Learning and Data Management Practices

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Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling AI

  • Advanced Monitoring
  • Infrastructure Automation
  • Optimizing GPU Usage
  • Deploying Deep Learning Models
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