Technologies That Power Our Solutions
At Rkssh, we combine industry-leading tools and platforms to deliver secure, scalable, and efficient DevOps and cloud solutions. Our expertise covers every layer of the modern technology stack.
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Our Technology Stack
We use proven, enterprise-grade tools to deliver results you can trust.
Cloud Platforms
Amazon Web Services (AWS)
We architect and manage highly available, scalable, and
secure AWS environments, leveraging the world's leading
cloud platform to power your business.
Microsoft Azure
We leverage Azure's powerful hybrid capabilities to deliver
enterprise-grade, compliant solutions, seamlessly
integrating your on-premises and cloud infrastructure.
Google Cloud Platform (GCP)
We harness Google Cloud's cutting-edge data analytics and
AI services to build intelligent, data-driven applications
that provide a competitive advantage.
Infrastructure as Code & Containerization
Terraform
We use Terraform to codify your infrastructure, enabling
automated, repeatable, and version-controlled deployments
that eliminate manual errors and accelerate delivery.
Ansible
We leverage Ansible for powerful, agentless configuration
management, ensuring consistent and secure server
provisioning across your entire environment.
Docker
We use Docker to containerize your applications, ensuring
consistent, portable, and lightweight deployments from
development to production.
containerd
We utilize containerd, the industry-standard container
runtime, for its performance, security, and stability in
production Kubernetes environments.
Container Orchestration & Service Mesh
Kubernetes
We master Kubernetes to orchestrate your containerized
applications at scale, delivering self-healing, resilient,
and highly available systems.
Helm
We use Helm to package and manage Kubernetes applications,
simplifying complex deployments and enabling
version-controlled, repeatable releases.
Linkerd
We implement Linkerd, the ultralight service mesh, to
provide zero-config mutual TLS, deep observability, and
enhanced reliability for your microservices.
CI/CD & GitOps
Jenkins
We build and manage powerful CI/CD pipelines with Jenkins,
the leading open-source automation server, to accelerate
your software delivery lifecycle.
GitHub Actions
We leverage GitHub Actions to create seamless, integrated
CI/CD workflows directly within your development ecosystem
for maximum efficiency.
GitLab CI
We utilize GitLab's powerful, all-in-one platform to design
and manage integrated CI/CD pipelines that streamline your
entire DevOps lifecycle.
CircleCI
We implement CircleCI for its speed and scalability,
enabling your teams to build, test, and deploy with
confidence in a cloud-native environment.
Argo CD
We champion GitOps with Argo CD, enabling declarative,
automated, and auditable continuous delivery to Kubernetes
for ultimate reliability.
Monitoring, Logging & Observability
Prometheus
We deploy Prometheus for powerful, real-time monitoring and
alerting, providing deep insights into the health and
performance of your systems.
Grafana
We create beautiful and actionable Grafana dashboards,
transforming complex metrics into clear, intuitive
visualizations for data-driven decisions.
ELK Stack
We implement the ELK Stack for robust, centralized logging,
enabling powerful search, analysis, and visualization of
your operational data.
OpenTelemetry
We adopt OpenTelemetry to create a unified observability
strategy, collecting metrics, logs, and traces for
complete end-to-end system visibility.
Fluentd
We use Fluentd as a flexible and reliable data collector to
build a unified logging layer that integrates seamlessly
with your entire stack.
AI/ML & MLOps
Kubeflow
We leverage Kubeflow to build scalable, portable, and
distributed machine learning pipelines on Kubernetes,
streamlining your entire MLOps workflow.
MLflow
We use MLflow to manage the end-to-end machine learning
lifecycle, from experiment tracking and reproducibility to
model packaging and deployment.
TensorFlow
We build and deploy powerful, production-grade machine
learning models at scale using TensorFlow's comprehensive
ecosystem.
PyTorch
We utilize PyTorch to accelerate the path from research to
production, building flexible and powerful deep learning
applications.
Seldon Core
We use Seldon Core to deploy, scale, and manage thousands
of machine learning models on Kubernetes with advanced
features like A/B testing and explainers.
Databricks
We leverage the Databricks Lakehouse Platform for
massive-scale data engineering and collaborative data
science, unifying your data and AI workflows.
Security & Compliance
HashiCorp Vault
We implement Vault to centralize and secure your secrets
and sensitive data, providing a robust foundation for your
security posture.
SonarQube
We integrate SonarQube into your CI/CD pipeline for
continuous code quality and security analysis, catching
bugs and vulnerabilities before they reach production.
Trivy
We use Trivy for comprehensive vulnerability scanning of
containers and other artifacts, securing your software
supply chain from end to end.
Collaboration & Project Management
Jira
We leverage Jira for agile project management, ensuring
full transparency and traceability for all your DevOps
initiatives.
Confluence
We use Confluence to build a centralized knowledge base,
fostering collaboration and creating a single source of
truth for your projects.
Slack
We integrate critical DevOps alerts and workflows into
Slack, enabling real-time collaboration and faster
incident response (ChatOps).
Figma
We use Figma for collaborative design and prototyping,
ensuring a seamless and efficient handoff between design
and engineering teams.