What Resources Can Be Protected?

The first question to ask about any backup solution is which AWS services it supports. AWS Backup covers several core services, including:

• Amazon DynamoDB — managed NoSQL database
• Amazon Elastic Block Store (EBS) — block storage for EC2 instances
• Amazon Elastic File System (EFS) — managed network file storage
• Amazon Relational Database Service (RDS) — managed relational databases
• AWS Storage Gateway — a hybrid service that exposes iSCSI volumes to on-premises systems

Third-party tools may extend coverage to additional AWS services or offer more granular control over what gets backed up. Before selecting a solution, audit every AWS service your organization relies on and confirm that it is included in the product’s supported scope.

Application Consistency

AWS Backup relies on snapshots. For Windows workloads running on EC2, snapshots can leverage the Volume Shadow Copy Service (VSS) to produce application-consistent backups — meaning the backup captures a clean state that applications can reliably recover from. Organizations running non-Windows workloads should verify whether AWS Backup can deliver application-consistent backups for their specific stack, or whether a third-party agent-based solution would be a better fit.

Where Are Backups Stored?

AWS Backup stores data in backup vaults, which are encrypted using AWS Key Management Service (KMS) keys. A single AWS account can create up to 100 backup vaults, and each vault can hold up to one million recovery points. Vaults are straightforward to create and are well-integrated with AWS Identity and Access Management (IAM) for access control.

The key limitation is that backup vaults reside entirely within the AWS cloud. This creates two potential risks:

1. Account compromise: If an attacker gains access to an AWS account, backups stored within the same account could be at risk alongside primary data. AWS Organizations and cross-account backup copies can mitigate this, but they require deliberate configuration.
2. Regional or cloud-level disruption: While a full AWS outage is rare, regional incidents do occur. Backups stored in the same region as the source data may be affected by the same event.

Many third-party backup vendors store data outside the AWS cloud entirely — for example, in a separate cloud provider’s object storage. This provides genuine separation between primary data and backups, which can strengthen your overall resilience posture. It may also reduce storage costs depending on what Amazon charges for backup vault storage versus alternative destinations.

Data Recovery: Speed, Flexibility, and Support

A backup strategy is only as good as its recovery process. AWS Backup has two notable advantages here:

• No data egress over the internet: Because backup data is stored within the AWS cloud, restore operations do not require transferring large datasets across the internet. This typically results in faster recovery times.
• Single-vendor support: When something goes wrong during a restore, having Amazon as both the cloud provider and the backup vendor means you deal with one support chain rather than coordinating between multiple vendors.

Third-party solutions can offer greater recovery flexibility. Some tools allow EC2 instances to be restored to alternative cloud platforms, such as Microsoft Azure — a valuable option for organizations that want multi-cloud resilience or are in the middle of a cloud migration. Third-party products may also provide more granular restore options, such as item-level recovery for databases or file-level restore from volume snapshots.

Integration With Your Existing Backup Infrastructure

A factor that is easy to overlook is operational overhead. If your organization already manages a backup platform for on-premises workloads, ask whether it also supports AWS environments. Introducing a completely separate backup tool for cloud data means additional consoles to monitor, separate reporting, and separate policies to maintain.

Some third-party vendors provide unified platforms that cover both on-premises and cloud workloads under a single interface. This can reduce complexity and make it easier to enforce consistent RPO and RTO targets across your entire environment. AWS Backup, by contrast, is AWS-specific and does not extend to on-premises infrastructure directly.

Key Decision Factors at a Glance

Conclusion

AWS Backup is a solid, well-integrated choice for organizations that primarily run AWS workloads and value simplicity, fast in-cloud restores, and native service integration. It is most effective when paired with cross-account or cross-region backup copies to address the single-account risk.

Third-party solutions become more attractive when you need broader service coverage, application-consistent backups for non-Windows workloads, off-cloud storage for stronger isolation, cross-cloud recovery options, or a unified platform that spans on-premises and cloud environments.

There is no single correct answer — the right AWS backup strategy depends on your workload types, recovery objectives, risk tolerance, and existing tooling. Evaluate each option against those specific requirements before committing.

The example topology uses three machines:

• kubemaster — 192.168.1.218 (control-plane node)
• kubenode1 — 192.168.1.219 (worker node)
• kubenode2 — 192.168.1.220 (worker node)

You can add as many worker nodes as your environment requires. Adjust IP addresses and hostnames to match your own network.

Prerequisites

• Three machines running Ubuntu Server 18.04 (fully updated)
• A user account with sudo privileges on each machine
• Network connectivity between all three nodes
• Unique hostnames assigned to each machine (covered below)

Step 1 — Install Docker on All Three Nodes

Kubernetes requires a container runtime. On Ubuntu 18.04, docker.io is available directly from the default repositories. Run the following on every node:

sudo apt-get install docker.io -y

Add your current user to the docker group so you can run Docker commands without sudo:

sudo usermod -aG docker $USER

Log out and log back in for the group membership change to take effect. Then enable and start the Docker service:

sudo systemctl start docker
sudo systemctl enable docker

Step 2 — Add the Kubernetes Repository and Install kubeadm

Kubernetes tools are not included in Ubuntu’s default repositories. Add the official Kubernetes apt repository on every node:

curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add
sudo apt-add-repository "deb http://apt.kubernetes.io/ kubernetes-xenial main"

Then install the three core Kubernetes utilities on every node:

sudo apt-get install kubeadm kubelet kubectl

• kubeadm — bootstraps and manages the cluster lifecycle
• kubelet — the node agent that runs on every node
• kubectl — the command-line client for interacting with the cluster

Step 3 — Configure Hostnames and the Hosts File

Assign a unique, descriptive hostname to each machine. Run this command on each node, substituting the appropriate hostname:

sudo hostnamectl set-hostname HOSTNAME

For example, on the master node:

sudo hostnamectl set-hostname kubemaster

Next, edit /etc/hosts on every node so that all machines can resolve each other by name:

sudo nano /etc/hosts

Append the following lines, replacing the IP addresses with your own:

192.168.1.218 kubemaster
192.168.1.219 kubenode1
192.168.1.220 kubenode2

Save and close the file.

Step 4 — Disable Swap on All Nodes

Kubernetes requires swap to be disabled. The kubelet will fail to start if swap is active. To disable it persistently, open /etc/fstab:

sudo nano /etc/fstab

Comment out any line that references a swap partition by prepending it with a # character. Save and close the file. Then disable swap immediately for the current session:

sudo swapoff -a

Step 5 — Initialize the Control-Plane Node

Run the following command on the master node only. The --pod-network-cidr flag specifies the IP range for the pod network. The value you use must match the requirements of the pod network add-on you choose. For Flannel, the conventional CIDR is 10.244.0.0/16:

sudo kubeadm init --pod-network-cidr=10.244.0.0/16

When initialization completes successfully, kubeadm prints a kubeadm join command at the end of its output. Copy this command — you will need it to join your worker nodes to the cluster.

Configure kubectl Access on the Master

Still on the master node, set up your user’s kubeconfig file so you can interact with the cluster using kubectl:

mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config

Step 6 — Deploy a Pod Network (Flannel)

A pod network add-on is required before any pods — including DNS — can be scheduled. This example uses Flannel, a simple overlay network. Apply the Flannel manifest from the master node:

kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml

Wait until the Flannel pods reach a Running state before proceeding:

kubectl get pods --all-namespaces

Step 7 — Join the Worker Nodes to the Cluster

On each worker node (kubenode1 and kubenode2), run the kubeadm join command that was printed during the master initialization in Step 5. It will look similar to:

sudo kubeadm join 192.168.1.218:6443 --token <token> \
    --discovery-token-ca-cert-hash sha256:<hash>

Use the exact command and token values that kubeadm init produced in your environment.

Step 8 — Verify the Cluster

Back on the master, confirm that all nodes have joined and are in the Ready state:

kubectl get nodes

Expected output (after a minute or two for the nodes to become ready):

NAME          STATUS   ROLES                  AGE   VERSION
kubemaster    Ready    control-plane,master   5m    v1.x.x
kubenode1     Ready    <none>                 2m    v1.x.x
kubenode2     Ready    <none>                 2m    v1.x.x

Your cluster is now operational. You can deploy workloads using kubectl apply or kubectl run.

Next Steps

• Explore managed Kubernetes offerings (Amazon EKS, Google GKE, Azure AKS) to reduce operational overhead in production environments.
• Set up the Kubernetes Dashboard for a visual overview of cluster resources.
• Investigate Helm for templated, repeatable application deployments.
• Review the official kubeadm cluster creation documentation for production hardening guidance.