DevOps as a Service, across every layer.
With ReOps, your team stays focused on delivering product while we ensure your infrastructure is stable, secure, and ready to grow.
Stay focused on product. We keep the infrastructure stable, secure, and ready to grow.
Remote-first DevOps
ReOps is a remote-first DevOps-as-a-Service company built for modern product teams. We help startups and growing software companies design, build, and operate scalable, secure, and cost-efficient infrastructure - without the need to hire and manage a full-time DevOps team.
Startup-Friendly
We understand the unique needs of startups and growing businesses, offering lean, adaptable collaboration models, quick turnaround times, and zero vendor lock-in.
24/7 Reliability
We help you design infrastructure that not only works today but can effortlessly scale as your business grows. For peace of mind, optional SLA-backed support keeps your infrastructure monitored and resilient around the clock.
Everything your infrastructure needs, in one team.
Ten disciplines, each staffed by senior engineers. Engage the ones you need.
→System Architecture
Engineer scalable, resilient architectures optimized for cloud and hybrid environments, ensuring performance, cost-efficiency, and adaptability to dynamic workloads.
→Container Orchestration
Build containerized solutions with Docker and Kubernetes, designing orchestration frameworks that ensure seamless scalability, load balancing, and service discovery.
→Disaster Recovery
Engineer robust disaster recovery (DR) plans and architectures, including backup strategies and multi-region failover, to ensure business continuity.
→MLOps Pipeline
Design end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, deployment, and monitoring, optimized for MLOps workflows.
→Incident Resolution
Rapidly diagnose and resolve incidents in cloud, hybrid, or on-premise systems using advanced monitoring and root cause analysis (RCA) techniques.
→System Failure Recovery
Quickly diagnose and fix system crashes or outages in cloud, hybrid, or on-premise setups using advanced debugging tools and root cause analysis.
→Performance Bottleneck
Identify and eliminate performance bottlenecks in applications, databases, or infrastructure through in-depth profiling and optimization strategies.
→Alert Fatigue Reduction
Analyze and refine monitoring systems to reduce false alerts, fine-tune thresholds, and prioritize critical issues using tools like PagerDuty or Grafana.
→Infrastructure Monitoring
Track the health of cloud, hybrid, and on-premise infrastructure using tools like Prometheus, Zabbix, and AWS CloudWatch to monitor CPU, memory, storage, and network metrics.
→Incident Response Setup
Design smart alerting systems with tools like PagerDuty or Opsgenie, setting up actionable alerts and escalation policies to handle incidents efficiently.
→Kubernetes Monitoring
Monitor Kubernetes clusters with tools like Prometheus and Grafana, tracking pod health, resource usage, and networking issues for containerized environments.
→Dynamic Infrastructure
Configure auto-scaling infrastructure on AWS, Azure, or GCP, using tools like Terraform and Kubernetes to add or remove resources based on real-time demand.
→Container Expansion
Scale Kubernetes clusters with cluster autoscaler and custom policies, balancing workloads across nodes to support thousands of pods.
→Multi-Region Balancing
Set up global load balancers like AWS ELB or Cloudflare to distribute traffic across regions, ensuring low latency and redundancy.
→Data Pipeline Scaling
Build scalable data pipelines with Apache Kafka or Spark, processing massive streams or batches for analytics and ML workloads.
→Automated Backups
Configure automated, incremental backups for cloud infrastructure using tools like AWS Backup, Azure Backup, or Velero, with scheduled snapshots and retention policies.
→Disaster Recovery
Design comprehensive backup plans for disaster recovery, including off-site storage and multi-region replication to protect against site-wide outages.
→Database Backup
Implement backup strategies for databases like PostgreSQL, MySQL, or MongoDB, using point-in-time recovery and cross-region replication for data integrity.
→Log Archive
Archive application and system logs with tools like Fluentd or AWS CloudWatch Logs Insights, enabling long-term storage and quick retrieval for audits.
→ML Pipeline Automation
Build end-to-end MLOps pipelines with tools like Kubeflow, MLflow, or Airflow, automating data ingestion, model training, and deployment.
→Data Orchestration
Orchestrate scalable data pipelines for ML and analytics with Apache Kafka, Spark, or Dataflow, ensuring reliable data flow for AI workloads.
→Model Monitoring
Implement real-time monitoring for ML models, tracking accuracy, drift, and performance, with automated retraining using tools like Seldon or TFX.
→Model Integration
Integrate explainability tools like SHAP or LIME into ML pipelines, providing insights into model decisions for compliance and debugging.
→Infrastructure Hardening
We assess and fortify your AWS, Azure, or GCP environments against common misconfigurations and attack vectors.
→Threat Monitoring
Deploy and manage monitoring tools to detect anomalies, intrusions, or malicious behavior in real time.
→IaC Security Scanning
Automatically scan Terraform, CloudFormation, or Ansible code for security risks before deployment.
→Compliance Frameworks
Build security baselines aligned with SOC 2, ISO 27001, HIPAA, or your industry's specific requirements.
→Database Performance
Analyze and optimize query performance, indexing, and storage for faster, more efficient applications.
→ETL/ELT Automation
Automate data ingestion, transformation, and loading processes for analytics and BI systems.
→Database Security
Implement encryption, access control, and audit logs to protect sensitive data and meet compliance.
→Cloud DB Provisioning
Automate provisioning and scaling of cloud-native databases (e.g. RDS, Aurora, BigQuery, Snowflake).
→Cloud Cost Monitoring
Set up dashboards to track cloud spend in real time across teams, services, and environments.
→CI/CD Cost Optimization
Reduce cost of non-prod environments, ephemeral workloads, and test runs during deployment cycles.
→Sizing Recommendations
Analyze usage patterns and suggest optimal instance types, database sizes, or storage tiers.
→Serverless Optimization
Analyze usage patterns of Lambda/Cloud Functions and optimize memory size, timeout, and invocation patterns.
→Project Consulting
Solve complex development challenges with our deep expertise and hands-on guidance.
→Backend Development
Design fast, secure, and extensible APIs to power your platforms and integrations.
→Microservices Migration
Architect and execute seamless migration from monoliths to flexible, microservice-based systems.
→Legacy Code
Refactor and improve existing codebases for better performance, security, and scalability.
Ready to outsource your infrastructure?
Tell us about your stack. We'll send next steps and a free infrastructure audit - usually within one business day.