Cloud DevOps Services for Reliable Delivery

It depends on your workload, existing ecosystem, and team expertise. AWS offers the broadest service catalog and largest partner network. Azure integrates natively with Microsoft tools and Active Directory. Google Cloud excels at data analytics, machine learning, and Kubernetes-native workloads. We evaluate your specific requirements and recommend the platform -- or multi-cloud strategy -- that delivers the best value.

Timeline depends on the size and complexity of your infrastructure. A straightforward migration of a few services typically takes 4 to 8 weeks. Enterprise migrations involving multiple applications, databases, and compliance requirements can take 3 to 6 months. We provide a detailed migration plan with milestones and realistic timelines during the discovery phase.

Yes. We typically begin with a cloud readiness assessment that reviews workloads, dependencies, security posture, networking, backup posture, and cost risks before we recommend a target architecture. That reduces surprises later in the migration plan.

We design every migration for zero or near-zero downtime. Using strategies like blue-green cutover, database replication, and DNS-based traffic shifting, we ensure your users experience no interruption. For the rare cases where a brief maintenance window is unavoidable, we schedule it during your lowest-traffic period and keep it as short as possible.

We use a combination of right-sizing instances, leveraging reserved and spot capacity, implementing auto-scaling policies, eliminating idle resources, and setting up cost alerting and governance. The goal is meaningful reduction in cloud spend, and Advenno provides monthly cost reports with actionable recommendations to keep improving over time.

Yes. Many teams need pipeline modernization before a larger cloud move. We can improve build speed, release automation, secrets handling, testing gates, and deployment workflows on top of your current stack, then phase in broader infrastructure changes when the business is ready.

Security is embedded in every layer. We implement IAM least-privilege policies, encrypt data at rest and in transit, configure network segmentation, and manage secrets with tools like Vault or AWS Secrets Manager. For compliance, we build infrastructure that meets SOC 2, HIPAA, GDPR, and PCI-DSS requirements, with automated audit trails and policy enforcement.

Yes. We offer managed services retainers that include 24/7 monitoring, incident response, patch management, and continuous optimization. Alternatively, we can train your internal team and hand over complete documentation, runbooks, and operational guides so you can manage independently. The choice is yours.

We define recovery objectives, design backup policies, automate restore checks, and document runbooks for region loss, data corruption, and operational incidents. Disaster recovery only matters if it is tested, so we build validation and rehearsal into the operating model.

Kubernetes is ideal for complex, multi-service architectures that need fine-grained control over orchestration, networking, and scaling. Serverless is better suited for event-driven workloads, lightweight APIs, and teams that want to minimize operational overhead. Many production environments use a hybrid approach. We evaluate your workload patterns and recommend the architecture that balances cost, performance, and operational complexity.