Cloud Infrastructure • DevOps • Full Stack Development • Data Engineering • DataOps • AI-Ready Cloud Solutions
We design, automate, and secure enterprise-grade cloud platforms that power startups, scale-ups, and global companies with zero downtime.
Trusted by Teams Deploying on Enterprise Cloud Platforms
We provide scalable engineering co-pilots. From automated Terraform plans to orchestrating Kubernetes clusters, we design platforms that scale with your users.
Zero-downtime database replication, application containerization, and legacy monolith refactoring to Microsoft Azure or AWS.
Request detailsDefine your entire cluster layout in code. We write modular, reusable Terraform architectures that prevent environment drift.
Request detailsDeploy, scale, and monitor microservices securely. We implement container autoscaling, service meshes, and GitOps deployments.
Request detailsAutomate code quality checks, vulnerability scanning, builds, and blue-green deployments to minimize human release errors.
Request detailsEstablish private endpoint links, isolate network subnets, manage role access controls (IAM), and harden clusters to CIS benchmarks.
Request detailsComprehensive dashboards with Prometheus, Grafana, and Azure Monitor. Stay notified of outages before users experience them.
Request detailsAudit bloated resource allocations, clean up database backups, implement spot instances, and optimize server sizes.
Request detailsTrain your internal teams on modern GitOps procedures, infrastructure security, and site reliability engineering (SRE) frameworks.
Request detailsWe build scalable, secure, cloud-native applications that deliver exceptional user experiences across web, mobile, and enterprise platforms.
Responsive, lightning-fast, SEO-optimized web applications with modern UI/UX and enterprise-grade architecture.
Highly scalable backend services designed for performance, security, and cloud-native deployment.
Design, optimization, migration, replication, backup strategies, and high-availability database architectures.
We build secure, robust REST and GraphQL APIs, incorporating payment gateways, multi-factor authentication systems, enterprise integrations, and third-party SaaS connector hooks.
Transform legacy architectures into cloud-native microservices. We package apps in Docker containers, configure AKS/Kubernetes clusters, and write CI/CD code templates.
Explore how each tier is provisioned automatically with enterprise-grade isolation, load balancing, and compliance safeguards.
Code check-ins trigger automated security validation, build processes, and docker image uploads to the container registry.
The entire cloud environment is version-controlled. Terraform automatically provisions networks, computing systems, and security policies.
A private, isolated network perimeter isolates internal resources from the public internet, configuring private endpoints for databases.
Monitors and filters all inbound and outbound traffic, preventing data exfiltration and blocking malicious IP ranges.
Layer 7 traffic management with built-in Web Application Firewall (WAF) to block SQL injections, cross-site scripting, and DDoS attempts.
Orchestrates microservices across high-availability nodes, featuring auto-scaling, self-healing, and service mesh routing.
Secures database connection strings, certificates, and API credentials. AKS pods access them securely via managed identities.
Secure, geo-redundant storage for assets, configuration files, and backups, protected via private connection links.
We specialize in removing build deployment friction. Our automated DevOps frameworks prevent runtime failures, enhance system traceability, and maintain compliance standards at any volume.
Consistent, clean configurations across AWS and Microsoft Azure.
Deployments sync continuously from GitHub repos directly to Kubernetes pods.
Fully automated Kubernetes & database rollouts.
Continuous health check failovers.
Scale-ups and companies scaling global users.
Certified in Terraform, AWS, Azure, and AKS.
From the developer's laptop to our live Kubernetes containers. See how your code progresses through automated quality, testing, security, and provisioning gates.
Code written with local validation
Pull Request & security scanning
Automated unit tests & build tasks
Infrastructure as Code dry-run & apply
Blue-green deployment to Kubernetes clusters
Real-time metrics & log analytics
Scalable, secure user traffic
Build reliable, scalable, and automated data platforms that transform raw data into business intelligence.
We design and configure Databricks lakehouse workspaces that support ACID transaction guarantees, schema validation, and secure data access pipelines. Data is organized into clean relational tables managed under centralized security governance.
Data is refined incrementally as it flows through the lakehouse stages. Hover over the layers on the right to examine how automated pipelines transform raw streams into clean analytics-ready semantic schemas.
Hover over the Bronze, Silver, or Gold layers to view documentation details.
Enterprise ETL, Data Ingestion, Workflow Orchestration, Data Movement, Pipeline Automation, Scheduling, and real-time Monitoring.
Build scalable data pipelines capable of processing millions of records efficiently using Apache Spark, PySpark, Delta Lake, Kafka, Python, SQL, and Azure Synapse.
Unified governance layer. Direct support for Unity Catalog, Role-Based Access Control (RBAC), Data Lineage tracking, Metadata management, audit logs, and security policy enforcement.
Power BI dashboards, executive reporting, key performance indicators (KPIs), real-time streaming analytics, and unified self-service semantic layers.
Automated event hubs and API listening endpoints ingest millions of operational logs, transactions, and user event streams in real-time.
Azure Data Factory captures the incoming files, validating formats, verifying checksums, and orchestrating downstream workflow processes.
Databricks initializes autoscaling Apache Spark clusters dynamically to distribute memory and process the data workload with zero latency.
PySpark routines clean, filter, and cast raw types, applying schema validations to ensure corrupted fields are quarantined automatically.
Cleaned datasets are written directly into Delta Lake tables, maintaining ACID audit compliance, data version control (Time Travel), and index optimization.
The Power BI semantic cache receives a reload webhook. Dynamic executive charts, metrics, and KPI indicators sync with the database.
Real enterprise companies scaling with automated zero-trust environments designed and launched by IndoCloudOps.
> Checking container resource configuration... [OK]
> Validating Terraform build plan... [OK]
> Launching blue-green pod rollout to AKS... [OK]
> Rerouting traffic endpoints via App Gateway... [OK]
Aura Fintech suffered from slow, 2-hour manual releases and random database scaling failures during trade surges. We engineered a containerized microservices topology, automating all pipelines.
A global distribution platform had fragmented developer access levels, unencrypted storage vaults, and no centralized audit trail. We provisioned a Zero-Trust architecture integrated with Key Vaults.
> Centralizing IAM access tokens... [ENCRYPTED]
> Verifying Key Vault credentials... [HSM-BACKED]
> Auditing Azure Firewall policies... [PASSED]
> Scanning for environment deviations... [0 DRIFTS]
Hover over each badge to see how these core technologies integrate into our premium, customized platform engineering workflows.
“IndoCloudOps migrated our entire backend payment stack to Azure AKS. Their Terraform scripts are so clean our team can now spin up staging sandboxes in 10 minutes.”
“Zero-Trust is not just a buzzword for them. IndoCloudOps locked down our databases behind private endpoints and centralized logging using Grafana. Highly recommend.”
“Our monthly AWS bill had ballooned out of control. IndoCloudOps audited our setups, set auto-scaling rules, and containerized old instances. Our cloud costs fell by 40%.”
Choose a dedicated infrastructure tier tailored to your team's development lifecycle and compliance requirements.
Essential platform creation, setting up initial environments, configuration templates, and basic pipelines.
Full-scale platform co-pilot. Consistent environments provisioned automatically, container deployments, and SRE response.
Dedicated architects serving as an extension of your company. Fully customized pipelines, cluster configs, and SLAs.
Schedule a technical consultation with our lead SRE architect to audit your legacy pipeline bottlenecks and review potential cloud cost savings.