AWS Managed Services Practice
We design, build, and continuously manage production AWS environments, spanning infrastructure, DevOps, data engineering, and AI/ML, so your team can stay focused on shipping product.
Our AWS Managed Services Practice
Opsfleet was founded to solve a real problem: fast-scaling startups and scale-ups need senior cloud, DevOps, and AI expertise urgently, but hiring and retaining that talent in-house is slow and expensive. We built a managed services model that embeds experienced AWS engineers directly into client teams, delivering an end-to-end practice spanning architecture design, infrastructure build-out, day-two operations, security, cost optimization, and continuous improvement.
Our managed services are not a helpdesk or a ticket-based break-fix service. We act as a dedicated, embedded team: joining sprint cycles, owning the roadmap, and making proactive architectural decisions alongside client engineers and product leads.
Infrastructure & DevOps
From ground-up architecture to day-two operations, we manage the full infrastructure lifecycle using AWS best practices across all five Well-Architected pillars.
Infrastructure Design & Architecture
We design production-grade AWS environments from the ground up, or take over and modernize existing ones. Every engagement starts with a thorough architecture review and a prioritized roadmap built around business requirements, compliance needs, and growth trajectory. We apply AWS Well-Architected Framework principles across all five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization.
Kubernetes & Container Orchestration
We are specialists in Amazon EKS. We design, deploy, and operate Kubernetes clusters for clients running containerized workloads at scale, including autoscaling with Karpenter, multi-region configurations, and GitOps-based delivery pipelines. We have migrated dozens of workloads from EC2-based or legacy architectures into EKS environments that are resilient, cost-efficient, and developer-friendly.
CI/CD & Automation
We build and maintain CI/CD pipelines that enable engineering teams to release frequently with minimal risk. All infrastructure is managed as code (Terraform, Pulumi, AWS CDK), which eliminates configuration drift, speeds up environment provisioning, and creates an auditable change history.
Cloud Migration
We lead end-to-end cloud migrations to AWS including lift-and-shift, re-platforming, and re-architecture engagements. Our process covers discovery and planning, dependency mapping, workload sequencing, cutover execution, and post-migration validation. We have completed migrations from on-premises environments and from GCP and Azure.
AWS Graviton Optimization
We are one of very few managed services providers with deep hands-on experience migrating production EKS and EC2 workloads to AWS Graviton (ARM64) instances. Our Shift to Graviton service delivers meaningful cost and performance improvements with minimal disruption to existing pipelines and workflows.
Security & Compliance (DevSecOps)
We integrate security into every layer of the AWS stack, from IAM design and VPC segmentation to automated compliance scanning in CI/CD pipelines, secrets management, and GuardDuty / Security Hub configuration. We assist clients working toward SOC 2, ISO 27001, HIPAA, and PCI-DSS compliance on AWS.
Observability & Incident Response
We deploy and tune monitoring stacks so that teams have actionable alerting, not noise. This includes custom CloudWatch dashboards, distributed tracing, log aggregation, and on-call runbooks. We support 24/7 operational coverage for production environments where uptime SLAs are critical.
Disaster Recovery & Business Continuity
We design and implement DR solutions that meet defined RTO and RPO targets, including cross-region failover architectures, database replication, backup automation, and regular recovery drills.
AWS Marketplace & SaaS Enablement
We help ISVs design and launch their products on AWS Marketplace, including private offer configuration, SaaS metering integration, and AMI packaging. This specialized practice sits at the intersection of cloud infrastructure and commercial go-to-market.
Data Engineering & AI/ML Infrastructure
We bring the same engineering rigor we apply to infrastructure to data pipelines and AI workloads. These are first-class practice areas with dedicated expertise and proven delivery, not bolt-ons.
Data Infrastructure on AWS
We design and operate end-to-end data platforms on AWS, from real-time streaming ingestion through to analytics-ready warehouses and governed data lakes. Whether a client needs to instrument their first pipeline or overhaul a fragmented architecture, we build systems that are reliable, cost-efficient, and accessible to the teams that depend on them.
- Streaming pipelines: We design and manage real-time event streaming architectures using Amazon MSK (Managed Kafka) and Kinesis Data Streams, including schema management, consumer group tuning, and operational runbooks.
- Data lakes on S3: We build governed data lakes with S3 as the storage layer, AWS Glue for cataloging and ETL orchestration, and Lake Formation for access control, enabling consistent, auditable data access across teams.
- Analytics warehousing: We provision, tune, and manage Amazon Redshift clusters and Redshift Serverless for analytics workloads, including query performance optimization, data modeling, and cost governance.
- Batch and ETL orchestration: We implement batch processing workflows using AWS Glue, Step Functions, and managed Apache Airflow (MWAA), handling dependency management, failure recovery, and SLA monitoring.
- Query and exploration layers: We integrate Amazon Athena and Lake Formation to give analysts and data scientists ad-hoc query access to raw and processed data without additional infrastructure overhead.
- Pipeline observability: We instrument pipelines with end-to-end data quality checks, latency alerting, and lineage tracking so that failures are caught before they reach downstream consumers.
AI & ML Workloads on AWS
We increasingly serve AI-first companies that need production-grade infrastructure for model training, fine-tuning, and inference, not just prototype environments. We manage the full operational lifecycle of AI workloads from GPU cluster provisioning through to serving latency optimization and cost control.
- Model training infrastructure: We provision and manage GPU and high-memory compute fleets (EC2 P4, P5, G5, and Graviton-based) for model training and fine-tuning, including spot instance strategies that reduce training costs by 60-80%.
- Inference serving at scale: We design and operate low-latency model serving infrastructure using SageMaker Inference and EKS-hosted inference servers, with auto-scaling tuned to traffic patterns and cost/latency SLAs.
- Graviton for AI inference: We migrate inference workloads to Graviton (ARM64) instances where architectures permit, delivering significant per-request cost reductions without sacrificing throughput or latency targets.
- RAG and vector database infrastructure: We design and manage retrieval-augmented generation pipelines, including embedding generation, vector store provisioning (pgvector, OpenSearch, third-party), and orchestration layers that connect LLMs to proprietary data.
- MLOps pipelines: We implement end-to-end MLOps workflows using SageMaker Pipelines or custom EKS solutions, covering data versioning, experiment tracking, automated retraining, model validation gates, and deployment promotion.
- AI cost optimization: GPU compute is expensive. We apply capacity planning, mixed instance strategies, and workload scheduling so AI teams get the compute they need without bill shock.
What Makes Our AWS Practice Different
We are not a generalist IT firm or a staffing agency. We are a focused AWS managed services practice that has operated inside hundreds of fast-moving engineering organizations.
Startup & Scale-up Specialization
Purpose-built for companies growing fast that need senior AWS expertise now, not in six months. We understand the trade-offs that matter: velocity vs. stability, cost vs. resilience, in-house ownership vs. managed support.
Embedded Team Model
Our engineers join client Slack workspaces, sprint boards, and code repositories. They attend standups, review pull requests, and participate in architectural decisions. Clients consistently describe them as a genuine part of the team.
Full-Stack AWS Depth
We cover the full lifecycle: compute (EC2, EKS, Fargate, Graviton), networking (VPC, Transit Gateway, Direct Connect), databases (RDS, Aurora, DynamoDB), security (IAM, WAF, GuardDuty), and data services (MSK, SageMaker, Redshift).
AI & Data Engineering Capability
Alongside our DevOps practice we operate a dedicated AI/ML infrastructure and data engineering capability: GPU fleet management, MLOps pipelines, RAG infrastructure, and full data platform builds. Core practice areas, not afterthoughts.
Proven Graviton Expertise
One of the few MSPs in the market with a dedicated Shift to Graviton practice. We have migrated production EKS workloads, ML inference pipelines, and mixed-architecture environments, delivering compute cost reductions without sacrificing performance.
Rapid Onboarding
We can onboard a dedicated AWS managed services team within two weeks of contract signing, a critical differentiator for companies with immediate infrastructure needs that cannot wait for a lengthy procurement or hiring process.
Customer Success Stories on AWS
Real engagements. Publicly documented outcomes.
| Customer | What We Did | |
|---|---|---|
| Imagen AI | Standardized AI cloud infrastructure on AWS; scaled platform from dozens of users to 10,000+. Includes EKS, Aurora MySQL, multi-region DR, and CI/CD pipeline design. | Read case study → |
| Bria.ai: Kubernetes | Migrated EC2-based workloads to Amazon EKS to meet enterprise-grade availability and reliability requirements. | Read case study → |
| Bria.ai: Graviton | Migrated production EKS workloads to AWS Graviton instances, achieving lower compute costs and better performance. | Read case study → |
| CodiumAI | Migrated research environment from Google Cloud to AWS with minimal disruption; implemented EKS with Karpenter for cost-efficient GPU scaling and AWS SSO integration. | Read case study → |
| vHive | Built and scaled a production AWS environment for a drone data intelligence company; provides ongoing managed DevOps and 24/7 operational support. | Read case study → |
| BigPanda | Led Kubernetes migration on AWS, simplifying the development process and accelerating the team's ability to deploy microservices. | Read case study → |
| Konnecto | Transformed infrastructure from basic EC2 machines to a production-ready cloud environment with autoscaled Kubernetes, redesigned CI/CD pipelines, and optimized data infrastructure. | Read case study → |
| Bizzabo | Migrated production and development environments to Kubernetes on AWS. Post-migration: uptime SLA improved from 99.95% to 99.98%, 30% immediate cost reduction, and doubled traffic capacity at the same cost. | Read case study → |
| Axis Security | Provided managed DevOps services for a SaaS company with mixed cloud and on-prem AWS components, overcoming internal hiring challenges and delivering consistent infrastructure improvements. | Read case study → |
| Graviton Migration (Large Security Co.) | Delivered a Graviton migration for a large enterprise security company, reducing compute costs while maintaining performance SLAs across production EKS workloads. | Read case study → |
View all customer success stories: opsfleet.com/success-stories
What Our AWS Customers Say
"Opsfleet helps us close DevOps gaps, remove infrastructure bottlenecks, and reduce our time to market."
"Opsfleet's 24/7 service is exceptional. Their expertise has been invaluable, providing professional insights and flawless execution. I feel more at ease knowing they are managing our needs."
"The experience we got from Opsfleet is that our team just pushes the button and it works on Graviton, it's that simple."
"After the migration project, we could update our uptime SLA from 99.95% to 99.98%. We saved around 30% in immediate cost reduction and could handle more than double the traffic on the same cost."
AWS Partner Status & Credentials
Opsfleet is a validated member of the AWS Partner Network with recognized competencies across DevOps, Migration, and Generative AI.
View our official listing: partners.amazonaws.com
Work With Our AWS Team
Whether you need to migrate to AWS, modernize an existing environment, establish 24/7 managed operations, build out a data platform, or reduce your cloud spend, our team is ready to help. We have engineers available to start.