What does managed AWS operations cover day to day?
Managed AWS operations means the regular operation of a cloud environment. It can include service monitoring, alert qualification, deployments, updates, infrastructure changes, backup checks, certificate tracking, incident analysis, and cost review.
AWS operates the physical infrastructure and part of the managed services layer. The client or provider remains responsible for resource configuration, identities, permissions, data, and application code. AWS reduces some manual work, but it does not remove the need to govern what is deployed.
The contract should distinguish RUN, meaning day-to-day operations, from operational maintenance, which covers the actions needed to keep services available and maintainable. Migrations, rewrites, and new products should remain separate projects so recurring budgets stay clear.
How do you automate AWS infrastructure with Terraform and CI/CD?
Terraform describes infrastructure in versioned files: networking, machines, databases, security rules, and related services. This approach is called Infrastructure as Code, or IaC. It replaces some manual console changes with reviewed, traceable, and repeatable changes.
CI/CD, or continuous integration and continuous delivery, automates the path from code to environments. A pipeline can build the application, run tests, scan selected vulnerabilities, create the deployment artifact, and request approval before production. GitHub Actions, GitLab CI, or AWS CodePipeline can be used depending on the existing stack.
Automation should not only speed up releases. It should reduce differences between development, staging, and production, preserve change history, and provide a rollback when a new version causes a regression.
How do you monitor AWS and handle production incidents?
Observability means combining metrics, logs, and traces to understand an application’s actual state. Amazon CloudWatch can centralize some of these signals, while Sentry, Grafana, Prometheus, or other tools can add application error, capacity, and distributed journey visibility.
An alert should correspond to an action. An isolated CPU spike is not necessarily an incident, while a queue that stops draining, a saturated database, or a rise in HTTP errors can directly affect users. The setup should therefore define thresholds, alert channels, ownership, and the procedure to follow.
The SLA, or Service Level Agreement, defines service commitments, including support windows and response times. Detection, response, service restoration, and permanent correction must be distinguished. After a major incident, the review should identify the cause, preventive actions, and what must be documented in the runbook.
How do you secure AWS accounts, access, and secrets?
AWS IAM, or Identity and Access Management, defines who can access resources and which actions each identity is allowed to perform. Access should follow least privilege: a person or application receives only the permissions required for its role.
The root account should not become a daily working account. It should be protected by MFA, or multi-factor authentication, while routine operations should use dedicated roles or identities. Development, staging, and production environments can also be separated to limit errors and make permissions easier to understand.
Passwords, API keys, and database credentials should not be stored directly in code. They can be centralized in a secrets manager with rotation, logging, and controlled access. For a larger organization, a multi-account architecture can also separate production, security, logs, and non-critical environments.
How do you handle AWS backups, high availability, and disaster recovery?
A backup is not enough if nobody knows how long restoration takes or whether restored data is usable. The setup should define an RPO, or Recovery Point Objective, which is the maximum data loss the company accepts, and an RTO, or Recovery Time Objective, which is the target time to restore the service.
High availability can combine multiple application instances, a load balancer, and several Availability Zones. For some Amazon RDS databases configured with Multi-AZ, AWS maintains a standby instance in another zone and can fail over automatically when the primary becomes unavailable.
Not every application needs an expensive multi-region architecture. The right level depends on outage impact, the SLA, budget, and application dependencies. The disaster recovery plan should define what is restored, in which order, by whom, and with which checks before the service reopens.
How do you reduce AWS costs with a FinOps approach?
FinOps is the ongoing management of cloud costs in collaboration with technical and finance teams. The first goal is to make the bill understandable: accounts, projects, environments, and owners should be identifiable through clear organization and consistent tags.
Main optimizations often concern oversized resources, unused environments, forgotten disks and addresses, excessive log retention, old snapshots, or services kept without real usage. Development environments can also be stopped outside their usage periods when the project allows it.
Pricing commitments such as Savings Plans or selected reservations should only be considered after stable consumption is understood. Reducing the bill does not mean reducing every resource: a saving becomes counterproductive if it harms performance, removes required redundancy, or greatly increases human operating time.
EC2, ECS, EKS, Lambda, or managed services: which AWS architecture should you choose?
Amazon EC2 provides virtual machines and broad configuration freedom, but the team remains responsible for the installed system. Amazon ECS runs containers with relatively direct AWS integration. Amazon EKS provides managed Kubernetes and is relevant when the Kubernetes ecosystem and platform needs justify its operational complexity.
AWS Lambda runs functions on demand and fits some event-driven or occasional processing. Amazon RDS handles a significant part of relational database operations, while Amazon S3 stores files and objects and Amazon SQS organizes asynchronous work in message queues.
The best choice is not the most sophisticated service. Choose the simplest solution that meets the expected level of availability, security, scalability, and maintenance. A small application may remain clearer on EC2 or ECS than with a full Kubernetes cluster, while a more complex platform may benefit from EKS orchestration and isolation.
AWS DevOps agency or in-house engineer: which should you choose?
An AWS DevOps agency is usually suitable when the need represents a few days per month, requires several occasional skills, or needs escalation capacity without immediately hiring several profiles. It can combine architecture, operations, security, database work, and automation according to the incidents actually encountered.
An in-house engineer becomes more relevant when the infrastructure and product generate enough daily workload: frequent deployments, continuous platform evolution, developer support, major availability requirements, or several teams to support.
A hybrid model often combines an internal technical or product lead with a provider responsible for specialized operations. The company keeps knowledge and strategic decisions, while the agency handles operations, AWS changes, and topics requiring deeper expertise.
How much does an AWS DevOps provider cost?
Price depends on the number of accounts and environments, architecture complexity, technologies used, and required service level. An application accessible only during business hours does not need the same operating model as a critical platform monitored and supported continuously.
The budget should separate three elements: initial takeover, monthly operations, and evolution projects. Takeover covers inventory, access, documentation, immediate risk reduction, and validation of deployment and restoration procedures. Depending on the existing setup, this first phase may range between €2,000 and €8,000 excluding VAT.
Monthly operations can then be sized around included capacity, support windows, and the SLA. This approach is more transparent than an unlimited package: the client knows which responsibilities are covered, how much time is available, and which operations require separate scoping.
How does Koragence take over and operate your AWS infrastructure?
We start by recovering access and creating an inventory of accounts, environments, resources, data, pipelines, and responsibilities. This first review identifies dependencies on the former provider, immediate risks, and missing information.
We then secure the foundation needed for operations: permissions, backups, monitoring, alerts, deployments, documentation, and recovery procedures. Priority changes are ranked by their impact on availability, security, cost, and the team’s ability to intervene.
Day-to-day operations follow a clear process: alert or request → qualification → intervention → verification → production release → documented closure. Metrics, incidents, costs, and completed operations can be reviewed periodically so capacity matches the actual need.
Onctuo
Good is Merch