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

DevOps

   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!

Plan smarter, collaborate better, and ship faster with Azure DevOps Services…
To know more get in touch with us.

#devops #cloud #azure #aws #cloudcomputing #technology #developer #linux #python #coding #software #iot #cybersecurity #kubernetes #it #devopsengineer #tech #ai #datascience #docker #softwaredeveloper #webdev #machinelearning #programmer #bigdata #jasmine #swagger #api #cypress #helm #cicd #specflow #xUnit.net #gpuoncloud

Keda

Keda

  • 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.

CloudFormation

  • 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.
CloudFormation
External-ETCD-Kubernetes-Cluster

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.
Terraform-Infrastructure-As-Code
Spark-on-Kubernetes

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 overheads – YARN, 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.
Ingress-Controller
Hashicorp-Vault-and-Consul

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-CICD-Pipelines

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.

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Mobile-App-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.
ELK-Stack-2.png
Argo-Workflow-1

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.

RabbitMQ

  • 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.
RabbitMQ-1

 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.
MINIO-Storage
Helm-Charts

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.
Dynamic-Volume-Provisioning-in-Kubernetes
MWAA-and-Apache-Airflow

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

  • 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
Grafana
Prometheus

Prometheus

  • 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.