Practical Guide To Migrating Image And Container Services Supported By Tencent Cloud Malaysia Servers

this article outlines the feasible operation path for migrating system images and container services to or deploying them on tencent cloud malaysia servers in malaysia, covering pre-preparation, practical operations of image/container export and import, network and storage configuration, grayscale and rollback, as well as post-migration verification and optimization points to help operation and development teams reduce migration risks and improve stability.

what preparatory work needs to be done?

before migration, account and permission preparation, network planning and backup strategy should be completed. confirm that the target account has corresponding permissions (cam) in the region where the tencent cloud malaysia server is located, that the vpc, subnet, and security group have been created, and that the target image warehouse (such as tcr) is prepared. take a complete snapshot or export the image of the existing instance, back up the database and configuration files, and record the public ip, port and dependent service address to facilitate quick recovery during the switch.

which image format and operating system is more suitable for migration?

choose an image format with high adaptability, such as raw, qcow2 or common ova/ami (supported by cloud vendors). linux distributions give priority to the common ubuntu, centos or debian to ensure that the kernel is compatible with cloud drivers (cloud-init, virtio). if it is windows, make sure it has activation and cloud platform driver support. verify startup in a test environment before migration and adjust cloud-init or network configuration to match the target vpc.

how to export and import cloud images (practical steps)?

common processes: 1) create an instance snapshot in the source environment and generate a custom image; 2) export the image to a common format (if the platform provides the export function) or use tools (such as qemu-img) to convert the disk to raw/qcow2; 3) upload the file to the object storage (cos) of the target area or copy it through the intranet; 4) import the image through the console or api in the target area and create image resources, and finally start the cvm instance based on the image. during the operation, pay attention to the synchronization of security groups, ssh keys and metadata.

how to migrate the container service to the image warehouse and deploy it?

container migration is centered around image push: tag the image with a target warehouse (such as a tcr domain name) in the build environment, execute docker login, docker tag, and docker push to push the image to the container service migration target warehouse. for kubernetes deployment, update the image in deployment/statefulset to point to the new warehouse, and configure the imagepullsecrets of the private warehouse. if you use continuous delivery, adjust the ci/cd pipeline to automatically push the build product to the target warehouse and trigger deployment.

where to configure network and storage to ensure application availability?

in the target region, you should first build a reasonable vpc and multiple availability zone subnets, use load balancing (clb) for traffic distribution and bind health checks. if there is a need for public network access, configure eip and security group rules. persistent storage uses cloud disk mounting or file/block storage services (such as cloud disk + csi driver or cloud file service), and ensures that backup and snapshot strategies are in place for rollback and disaster recovery.

why do we need grayscale release and rollback strategies?

migration will inevitably introduce configuration differences or performance fluctuations. using grayscale (blue-green/canary) can first verify the performance of the new image and network storage on a small amount of traffic or a small number of nodes, and monitor key indicators (latency, error rate, resource usage). at the same time, prepare a rollback plan: retain old images, database rollback points, and infrastructure automation scripts to ensure rapid rollback in the event of an exception and reduce business interruption.

how to verify availability and optimize performance after migration?

verification steps include end-to-end functional testing, stress testing, slow query and log inspection. use monitoring tools (cloud monitoring or prometheus) to observe core indicators such as cpu, memory, disk io, and network bandwidth, and adjust instance specifications, disk types, or enable horizontal elastic scaling based on bottlenecks. containerized applications can improve startup speed and stability by tuning image volumes, adjusting resource requests/limits, and probe (readiness/liveness) configurations.