Requirement and Target Definition (SLA / SLO / RPO / RTO)
Business criticality, concurrent user and traffic expectations, targeted availability (SLA) and data tolerance metrics are clarified.
Production environment design is a service that involves creating a live infrastructure and operational model where critical application systems operate at high availability (HA), scalability, cybersecurity, observability, and zero-downtime deployment standards.
The smooth operation of an application in the development (dev) environment does not necessarily guarantee the same level of reliability in the live (prod) environment. Disruptions, performance losses, and data breaches in live environments are often caused by inadequate infrastructure architecture, insufficient monitoring mechanisms, or uncontrolled deployment steps.
During the process, application SLA/SLO targets, traffic load, data growth rate, identity and access management (IAM), secret management, logging and metric collection infrastructure, automated backup, and incident response scenarios (Incident Runbooks) are all designed holistically before determining the compute (VM/Container) architecture.
Business criticality, concurrent user and traffic expectations, targeted availability (SLA) and data tolerance metrics are clarified.
Compute (VM/Container), Layer 4/7 load balancing, network isolation (VPC/VLAN), database backup, and secret management are designed.
CI/CD integration, environment variable isolation, staging/production parity, Blue/Green or Canary deployment, and automated rollback strategies are designed.
End-to-end tracing (APM/Metrics), centralized log management, real-time alert policies, automated backup schedule, and emergency response runbooks are prepared.
Assess the current environment, target and dependencies
Document scope, risks, acceptance and rollback
Implement, validate and document
No, Kubernetes is not mandatory. Kubernetes is only relevant in scenarios requiring high scalability, container orchestration, and complex microservices architectures. Many corporate systems can operate securely and with lower operational costs using simpler platforms (PaaS, Managed Container Services, or Auto-Scaling VM groups).
Yes, creating a Staging environment that closely mirrors the live environment is crucial for minimizing potential risks and disruptions during deployment. The scale and cost of the Staging environment can be optimized based on the frequency of code changes and the criticality of the application.
With the right architecture and database layer, high availability rates such as 99.99% can be approached; however, a 100% zero-downtime guarantee does not align with engineering realities. The primary goal is to define measurable and acceptable SLA targets to minimize unplanned downtimes and risks associated with human errors.
We review your current environment, target and technical requirements in a 20–30 minute call. Scope, assumptions, deliverables and pricing are documented before work begins.
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