DevOps Solutions & Services 

DevOps Consulting

Custom designs for desired scale

Microservices Setup – Self-Managed Kubernetes Cluster, ECS, EKS, AKS with CICD

DevOps Operations & Support

Automations – IaC


   Cluster Autoscaler

  • Manage sporadic demands with Kubernetes – scale-out and scale-in
  • Automatically scale node groups in an autoscaling group.
  • The self-managed container clusters for Kubernetes and OpenShift.
  • A transparent process that instantaneously responds to performance demand on a cloud.

It’s too difficult to get everything right in the cloud – isn’t it?
With the difficulties in –
– Protecting data & meeting compliance levels for the specific industry!
– Striking balance between scaling, performance, and cost!
– Systematically controlling every change in cloud infra!
– Monitoring, proactive and reactive recovery from failures!
– Defining, standardizing, and automating stuff for being agile!
Difficulties look horrendous – isn’t it ? ? ?…. Well, it’s not that difficult with #AWS Well-Architected Framework!
Feel free to connect with us to know more…
In addition to the AWS Well-Architected framework, along with well-defined industry best practices, #gpuoncloud recently helped growth phase companies and applications to have peace of mind while achieving business objectives!



  • Event-Driven Autoscaler with Kubernetes.
  • Integrate rich events of your choice from any of the external event resources in Kubernetes services.
  • Scale Kubernetes containers, leveraging CPU Metrics, Memory, and Horizontal Pods Autoscaler.


  • Powerful and flexible tool for deploying applications and services.
  • Automate the creation of cloud resources.
  • Easily define, create, and, manage multiple AWS resources in one place.
  • Cross account & cross-region management.
  • Declarative language for defining and updating cloud resources.

External ETCD Kubernetes Cluster

  • Simple, fast, and secured key-value store for Production grade Kubernetes Cluster
  • ETCD stores critical data and maintains a copy of data stored across servers.
  • Support for discovery service for deployed applications

Terraform – Infrastructure As Code

  • Create a detailed execution plan before it gets pushed to the environment.
  • Know the effectiveness of the plan and tentative Infra Costs in advance.
  • Capture IT Infrastructure at a minute level, version control, and maintain state across well know backends.
  • Modify, reuse and re-deploy with ease.

Spark on Kubernetes

  • Easy-to-use & Cost-effective Spark on Kubernetes
  • Not to worry much about the technicality of Hadoop, YARN, or third-party proprietary vendor solution
  • Spark-app level dynamic allocation and cluster level autoscaling
  • No overheadsYARN, or any bootstrap scripts

Ingress Controller

  • Flexible, Powerful, and Easy-to-use Ingress controller.
  • Generate sophisticated configurations using annotations and custom templates.
  • Rich and Safe Kubernetes Ingress Resources.
  • Native Integration with cloud services.
  • Kubernetes Ingress provides maximum compatibility across various Ingress Controllers.

Hashicorp Vault and Consul

  • HA-Vault Cluster – A typical deployment within a DC.
  • Manage Secrets and protect sensitive data such as Tokens, Passwords, Certificates, and Encryption keys.
  • Allow Trusted Identities to automate access to secrets, data, and systems.
  • Options to leverage Trusted Identity Platforms to Secure, Store, and Access Credentials and Resources.

EKS vs AKS – Quick glance – Managed Kubernetes ServiceS

  • AKS and EKS are the popular managed Kubernetes cluster.
  • Managed containerization relies heavily on serverless computing resources for convenience and faster work.



AWS CI/CD Pipelines

  • Automate the Pipeline to increase release velocity.
  • High velocity improves the time spent investigating and patching defects.
  • Feature changes and blue-green deployments enable – seamless deployment of production features.
  • Improvement in the usability of environments – stakeholders’ feedback during continuous development actioned instantly.

Mobile App Pipelines

  • Isolated environments with its Own Database, Code-base, and various Backend services to build Mobile apps.
  • Simple to Modify variants and Build CI/CD.
  • Integrate well with plugins for Continuously Delivered pipelines.



HA Proxy Cluster

  • Route TCP/HTTP traffic with High Performance, Highly available load balancer & reverse proxy – #HA-PROXY CLUSTER…
  • HAProxy Cluster is very fast, reliable, and flexible.
  • The collection of high-performance, easy-to-use load balancers.
  • Open-source software solution for load balancing, terminating SSL, and NAT.

ELK Stack

  • Filter, Parse and Transform into meaningful data.
  • Easy, Fast, and Reliable search.
  • Powerful Analytical Tool to get valuable insides.

Argo Workflow

  • Container-native workflow engine for orchestrating parallel jobs on Kubernetes.
  • Simplified CI/CD pipelines natively on Kubernetes.
  • Easily run compute-intensive jobs for machine learning or data processing.
  • Cloud agnostic.


  • Decouple/Channelise communications between Components/ Micro-services with ease.
  • Protocols Supported AMQP, STOMP, MQTT etc.
  • Integrate it with Python, JavaScript, Java, Go, Ruby, etc programs.
  • Distributed and Federated configurations to meet High-Scale & High- Availability.
  • Easy to automate provisioning, management, and operations of RabbitMQ clusters running on Kubernetes.

 Prometheus and Grafana

  • Scrape selective metrics from various sources, using #prometheus and visualize it on #grafana for monitoring and analysis…
  • Prometheus and Grafana are a great combination for monitoring your environment.
  • Easy to visualize time series data from services like Apache Kafka, RabbitMQ, and Consul in real-time.

MINIO Storage

  • Software-Defined Cloud Object Storage.
  • Open Source, S3 Compatible, Enterprise Hardened, and Fast.
  • Cloud-Native, Performant, Scalable, and Lightweight.
  • Uniquely identified for Machine Learning, Analytics, and Cloud-Native Application workloads.
  • Erasure Coding delivers the Highest Performance and heals Multiple Objects Independently.

Helm Charts

  • Build Consistent and Robust infra with helm charts.
  • Well-documented and Highly configurable charts
  • Improve Productivity and Reduce the Complexity of the deployments.
  • Preconfigure applications with sensible defaults.

Dynamic Volume Provisioning in Kubernetes

  • Kubernetes archetypes integrated with CSI.
  • Leverage Kubernetes very powerful storage subsystem.
  • Kubernetes orchestration and scheduling platform map volume as a directory in Pod’s container – dynamically.
  • Allows various StorageClass objects to be integrated for dynamic provisioning.

MWAA and Apache Airflow

  • Platform to programmatically author, schedule, and monitor workflows as Directed Acyclic Graphs(DAGs) of tasks.
  • Pipelines are configured in Python, hence are dynamic.
  • Airflow uses a message queue to orchestrate a number of workers up to infinity.
  • Users can add custom operators(hooks) and executors to fit environment needs.


  • Grafana support for Graphite, InfluxDB, or OpenTSDB.
  • A rich set of panels that can be dragged and dropped into any dashboard.
  • Powerful search capabilities inside panels.
  • The leading open-source alternative for trend monitoring, visualization, alerting, and on-call management for time series


  • Make use of Multi-dimensional data models with time-series data.
  • PromQL, a flexible query language to leverage this multi-dimensional data.
  • Extremely flexible, low-maintenance monitoring solution for large data centers.
  • Monitoring targets are easily discovered via service discovery or static configuration.