DevOps and Infrastructure Services

CI/CD pipelines, cloud infrastructure, Kubernetes, IaC, monitoring, and platform engineering — designed to help your team ship faster and spend less on infrastructure.

The gap between a development team that ships daily and one that ships monthly is rarely a talent problem. It is almost always a tooling, process, and infrastructure problem.
SSNTPL’s DevOps and infrastructure team eliminates that gap. We design CI/CD pipelines that cut deployment times by 50–70%, manage cloud infrastructure that scales without surprises, and embed observability so your team knows about problems before your users do.
We have been delivering DevOps and infrastructure services from Delhi, India to clients across the USA, UK, Europe, and UAE since 2011. Our team works with your existing stack — we do not require you to start over.

50–70%	20–40%	15+ Years	24/7	AWS | Azure | GCP
Typical reduction in deployment time	Typical reduction in cloud spend within 90 days	IT delivery experience	Infrastructure monitoring coverage	Cloud platforms supported

What Is DevOps and Why Does It Matter?

DevOps is the practice of unifying software development (Dev) and IT operations (Ops) through automation, shared tools, and a culture of continuous improvement. The goal is simple: ship higher-quality software faster, with fewer manual steps and less downtime.

The business case is well-established. Teams that fully adopt DevOps practices deploy code 208 times more frequently than low-performing teams, have 7 times lower change failure rates, and recover from incidents 2,604 times faster (DORA State of DevOps Report, 2024).

For most growing software businesses, the bottleneck is not writing code — it is everything that happens between a developer committing code and that code reaching users safely. DevOps engineering removes those bottlenecks systematically.

Our DevOps & Infrastructure Services

CI/CD Pipeline Design & Implementation

A well-designed CI/CD pipeline is the foundation of fast, reliable software delivery. It catches bugs automatically, enforces code quality standards, and eliminates the manual steps that slow teams down and introduce human error.

SSNTPL designs and implements CI/CD pipelines that cover:

• Continuous Integration — Automated build and test on every code commit. Unit tests, integration tests, and security scans run before any code can be merged. Failed builds block merges — protecting your main branch from broken code.
• Continuous Delivery — Every passing build is automatically packaged and staged for deployment. Production release becomes a single approved action rather than a multi-day manual process.
• Continuous Deployment — For teams ready to automate the final step: every passing build deploys automatically to production. Requires robust test coverage and rollback mechanisms — we assess readiness before recommending this pattern.
• Pipeline security (DevSecOps) — SAST, DAST, dependency vulnerability scanning (Snyk, OWASP Dependency-Check), container image scanning (Trivy), and IaC security checks (Checkov, tfsec) integrated as pipeline stages — not afterthoughts.

CI/CD Tool	Best For	SSNTPL Experience
GitHub Actions	GitHub-native teams. Free for public repos. Excellent ecosystem of reusable actions.	Primary tool for most new client pipelines
GitLab CI/CD	Teams using GitLab SCM. Powerful built-in CI with strong Kubernetes integration.	Extensive — used on mid-market and enterprise projects
Jenkins	Legacy pipelines, complex custom workflows, on-premises deployments.	Strong — migration and modernisation experience
CircleCI	Teams prioritising pipeline speed. Docker-native, excellent parallelism.	Moderate — used on SaaS client pipelines
Azure DevOps Pipelines	Microsoft-stack teams. Strong integration with Azure cloud services.	Strong — used on all Azure-hosted client projects
ArgoCD / Flux	GitOps deployments to Kubernetes. Declarative, auditable, self-healing.	Strong — standard for all Kubernetes deployments

Cloud Infrastructure Management

Cloud infrastructure that is poorly designed costs too much, performs inconsistently, and fails at the worst possible moments. Well-designed infrastructure scales automatically, costs predictably, and recovers from failures without manual intervention.

SSNTPL manages cloud infrastructure across AWS, Azure, and GCP. Our scope covers:

• Architecture design — Right-sized infrastructure for your actual workload — not generic templates that over-provision and overspend. We design for your current scale and your projected 12-month growth.
• Cloud migration — Moving workloads from on-premises or legacy cloud to modern cloud-native architectures. We use a phased migration approach — lift-and-shift first where appropriate, and re-architect where the business case justifies it.
• Auto-scaling configuration — Horizontal and vertical auto-scaling rules calibrated to your traffic patterns. Your infrastructure expands under load and contracts when idle — you pay for what you use.
• Multi-region and high-availability design — Active-active or active-passive architectures across multiple availability zones and regions. We design for your specific RTO (recovery time objective) and RPO (recovery point objective) requirements.
• Disaster recovery planning and testing — Documented DR runbooks, automated backup verification, and regular failover testing. A DR plan that has never been tested is not a DR plan.
• Cloud cost optimisation — Audit of current spend, right-sizing recommendations, Reserved Instance / Savings Plans analysis, spot instance integration for fault-tolerant workloads. Clients typically see 20–40% cost reduction within 90 days.

Infrastructure as Code (IaC)

Manually provisioned infrastructure is the enemy of consistency, auditability, and speed. Infrastructure as Code means your entire environment — servers, networks, databases, security groups, DNS — is defined in version-controlled files that can be reviewed, audited, and reproduced exactly.

• Terraform — Our primary IaC tool for multi-cloud environments. We write modular, reusable Terraform configurations that are tested with Terratest and scanned with Checkov before applying.
• Pulumi — For teams preferring to write infrastructure in familiar programming languages (TypeScript, Python, Go). Useful when IaC logic requires real programming constructs.
• AWS CloudFormation / CDK — For AWS-native teams. CDK in particular enables infrastructure defined in TypeScript or Python with the full power of a real programming language.
• Ansible — Configuration management for servers that need consistent software installation, patching, and configuration across fleets. Paired with Terraform for complete environment provisioning.

IaC in Practice: What It Delivers Reproducibility: Spin up an identical environment for development, staging, and production from the same codebase — no configuration drift. Auditability: Every infrastructure change is a reviewed, approved code commit. Your Git history is your infrastructure audit log. Speed: New environments that used to take days to provision manually are now ready in minutes. New team members do not need to learn undocumented manual processes. Disaster recovery: If a region fails, your entire infrastructure can be recreated in a new region from code — not from memory or documentation.

Containerisation & Kubernetes Orchestration

Containers have become the standard deployment unit for modern applications. They make applications portable, consistent across environments, and efficiently resource-utilised. Kubernetes manages those containers at scale — handling scheduling, scaling, self-healing, and rolling deployments automatically.

SSNTPL’s containerisation and Kubernetes services cover:

• Docker containerisation — Containerising your applications with optimised, minimal base images. Multi-stage builds to keep image sizes small. Image scanning with Trivy before registry push.
• Kubernetes cluster setup — Managed Kubernetes on AWS (EKS), Azure (AKS), or GCP (GKE). Cluster configuration, node group design, networking (CNI), and RBAC setup.
• Helm chart development — Packaging your applications as Helm charts for repeatable, configurable deployments across environments. Maintained in your application’s Git repository.
• GitOps with ArgoCD or Flux — Declarative continuous delivery for Kubernetes. Your cluster state is always synchronised with your Git repository — any drift is automatically corrected.
• Service mesh implementation — Istio or Linkerd for inter-service communication security (mTLS), traffic management, canary deployments, and distributed tracing in microservices architectures.
• Kubernetes cost optimisation — Right-sizing workloads, implementing cluster autoscaler and KEDA (event-driven autoscaling), spot/preemptible node integration, and namespace-level resource quotas.

Monitoring, Observability & Alerting

You cannot fix what you cannot see. Monitoring tells you when something is wrong. Observability tells you why. Most teams have monitoring; far fewer have true observability across the three pillars: metrics, logs, and traces.

SSNTPL implements full-stack observability covering:

• Metrics — Prometheus for metrics collection, Grafana for dashboards and alerting. Pre-built dashboards for Kubernetes cluster health, application performance, and infrastructure utilisation. Alert rules configured to page on symptoms — not just raw metrics thresholds.
• Logging — Centralised log aggregation using the ELK Stack (Elasticsearch, Logstash, Kibana) or Grafana Loki for cost-efficient log storage. Structured logging is enforced at the application level for queryable, machine-readable logs.
• Distributed tracing — Jaeger or Tempo for tracing requests across microservices. Identify exactly where latency is introduced in complex request chains — essential for debugging performance issues in distributed systems.
• Synthetic monitoring — Uptime checks and end-to-end transaction monitoring from external locations — so you know about outages before your users report them.
• On-call and incident response — PagerDuty or OpsGenie integration, escalation policies, runbook documentation, and blameless post-mortem processes. We help you build an incident response culture, not just the tooling.
• SLO/SLA tracking — Service Level Objectives defined with your engineering and business teams. Error budgets calculated and tracked — giving teams a quantitative framework for balancing reliability and feature velocity.

Platform Engineering & Internal Developer Platforms

Platform engineering is the 2026 evolution of DevOps. Instead of each development team managing its own infrastructure and tooling, a dedicated platform team builds and maintains an Internal Developer Platform (IDP) — a paved road of self-service tools, templates, and guardrails that lets product teams deploy and operate their services without needing deep infrastructure expertise.

SSNTPL builds Internal Developer Platforms using:

• Backstage (Spotify) — The leading open-source developer portal. Centralises service catalogues, documentation, and self-service workflows into a single interface for your engineering organisation.
• Service templates — Golden path templates for new services — pre-configured with CI/CD, monitoring, logging, security scanning, and infrastructure provisioning. A new service goes from idea to production-ready skeleton in minutes, not days.
• Self-service infrastructure — Developers provision databases, queues, storage, and environments through a portal or CLI — without raising tickets or waiting for an ops team. Infrastructure teams define the guardrails; developers work within them.

Cloud FinOps & Cost Management

Cloud spend is the fastest-growing line item on most engineering budgets — and the least controlled. FinOps (Financial Operations for cloud) is the practice of bringing financial accountability to cloud infrastructure spending.

SSNTPL’s FinOps service covers:

• Current state audit — Full inventory of running resources, identification of unused or underutilised services, analysis of spend by team, service, and environment.
• Right-sizing — Matching instance types and sizes to actual workload requirements. Over-provisioning is the most common source of cloud waste — often 30–50% of total spend.
• Commitment optimisation — Reserved Instances, Savings Plans, and Committed Use Discounts analysis. We model your actual usage patterns against commitment options to find the optimal balance of flexibility and cost.
• Tagging strategy — Resource tagging taxonomy design and enforcement — enabling accurate cost allocation by team, product, environment, and cost centre.
• Cost monitoring and alerts — Budget alerts, anomaly detection, and weekly spend reports. You know immediately when spend spikes, not at the end of the month when the bill arrives.

Typical Cloud Cost Savings Most SSNTPL clients see 20–40% reductions in cloud spend within 90 days of a FinOps engagement. The largest savings typically come from: right-sizing over-provisioned compute (15–25% of total spend), eliminating unused resources and orphaned storage (5–15%), and implementing Reserved Instances or Savings Plans for predictable workloads (10–20%).

Our DevOps Technology Stack

Category	Tools We Use	When We Use Them
CI/CD	GitHub Actions, GitLab CI, Jenkins, CircleCI, Azure DevOps, ArgoCD, Flux	Matched to your SCM platform and deployment target
IaC	Terraform, Pulumi, AWS CDK, CloudFormation, Ansible	Terraform for multi-cloud; CDK for AWS-native; Ansible for config management
Container & Orchestration	Docker, Kubernetes (EKS/AKS/GKE), Helm, Istio, Linkerd, KEDA	Standard for all new cloud-native application deployments
Cloud Platforms	AWS, Microsoft Azure, Google Cloud Platform	Matched to your existing environment or selected based on requirements
Monitoring	Prometheus, Grafana, Datadog, ELK Stack, Grafana Loki, Jaeger, Tempo	Full three-pillar observability: metrics, logs, traces
Security	HashiCorp Vault, AWS Secrets Manager, Checkov, tfsec, Trivy, Snyk, Falco	Security embedded in pipeline and runtime — not bolt-on
Platform Engineering	Backstage, Port, internal tooling	For teams building Internal Developer Platforms
FinOps	AWS Cost Explorer, Azure Cost Management, CloudHealth, FOCUS standard	Cost visibility, allocation, and optimisation

How We Engage

Engagement Type	Best For	What’s Included
Pipeline Setup (Fixed Price)	Teams with no CI/CD or outdated pipelines needing a fast, structured implementation	Full CI/CD pipeline design and implementation, IaC for environments, documentation, team training. Typical duration: 4–8 weeks.
Cloud Infrastructure Audit	Teams overspending on cloud or experiencing reliability issues	Current state assessment, architecture review, cost analysis, prioritised recommendations report. Duration: 2–3 weeks.
DevOps Retainer	Teams needing ongoing pipeline maintenance, infrastructure management, and on-call coverage	Monthly retainer covering pipeline support, infrastructure monitoring, security patching, incident response, and a set number of engineering hours for new work.
Dedicated DevOps Engineer	Teams needing embedded DevOps expertise without hiring full-time	A dedicated SSNTPL DevOps engineer embedded in your team, working in your tools and processes on a monthly engagement.
Platform Engineering	Engineering organisations (50+ devs) looking to build an Internal Developer Platform	Full IDP design and build: Backstage setup, golden path templates, self-service infrastructure, developer portal.

Frequently Asked Questions