Cloud infrastructure management: a guide for IT teams and MSPs

Managing cloud infrastructure is a full-time operational discipline. The promise of cloud (on-demand resources, elastic scaling, no hardware maintenance) is real, but it does not eliminate the management work. It changes what that work looks like, moving it from hardware maintenance to configuration management, cost governance, security monitoring, and capacity planning across environments that change faster than on-premises infrastructure ever did.

According to the 2026 Kaseya State of the MSP Report, 83% of MSPs say their IT management tools significantly enhance operational efficiency. That efficiency increasingly applies to cloud environments as client infrastructure migrates away from on-premises. Kaseya’s platform manages endpoints and cloud workloads for more than 50,000 MSPs and IT teams worldwide, giving us a clear view of where cloud infrastructure management succeeds and where teams run into trouble.

What cloud infrastructure management actually covers

Cloud infrastructure management is the set of ongoing operational activities that keep cloud environments secure, performant, and cost-effective after the initial migration. It is not a one-time project. It is not something the cloud provider handles once workloads are running. It is a continuous operational discipline that requires deliberate tooling, process, and ownership.

The six core disciplines are configuration management, patch management, cost governance, security monitoring, backup, and documentation. None of them transfer to the cloud provider. All of them remain the responsibility of the customer or their MSP.

The key operational difference from on-premises management is pace. Cloud environments can have new resources provisioned and deprovisioned daily. Configurations change frequently without the friction that on-premises change management would impose. The billing meter runs continuously, whether resources are productive or idle. Manual management practices that work adequately for stable on-premises environments do not scale to this dynamism. An MSP managing 30 clients, each with a mix of on-premises and cloud workloads, cannot track configuration state and cost exposure manually across those environments. Tooling and automation are not optional at that scale.

Configuration management and drift

Configuration drift is the accumulation of manual changes that diverge from the intended state of an environment. It is the source of most cloud security incidents. An engineer opens a security group to troubleshoot something and forgets to close it. A new VM gets deployed without encryption enabled. A storage bucket gets misconfigured by an IaC template that has not been updated. None of these generate alerts by default. They accumulate silently.

Infrastructure-as-Code (IaC) approaches address this at the provisioning layer. Defining infrastructure configurations in code, using tools like Terraform or Azure Resource Manager templates, means changes are version-controlled, peer-reviewed, and applied consistently rather than applied manually through a console. Drift from the defined state is detectable.

For MSPs managing client cloud environments, IaC is not always feasible for every client. The practical alternative is continuous monitoring for configuration change. Kaseya Intelligence applies pattern recognition across managed environments to identify configuration changes that deviate from baseline, surfacing drift before it becomes a security incident or an availability problem.

Patch management for cloud VMs

Cloud-hosted virtual machines running Windows or Linux require exactly the same patch management as on-premises servers. The cloud provider is responsible for the hypervisor and physical infrastructure. The guest operating system, installed applications, and all software above the hypervisor layer remain the customer’s responsibility.

This is one of the most commonly misunderstood aspects of the cloud shared responsibility model. An EC2 instance or Azure VM running an unpatched OS is just as vulnerable as an on-premises server in the same state. The cloud provider will not patch it.

VSA and Datto RMM both extend automated patch management to cloud-hosted endpoints using the same agent-based deployment and policy-driven automation used for on-premises servers. Cloud VMs are enrolled alongside on-premises endpoints, managed from the same console, and subject to the same patching policies. An MSP does not need a separate cloud management workflow for patching.

A practical illustration: an MSP running patch management across 500 on-premises endpoints can extend the same policies to 50 Azure VMs a client has spun up for a new application, with no additional tooling or workflow, by deploying the Datto RMM or VSA agent during the VM provisioning process.

Cost governance

Cloud billing is complex, dynamic, and difficult to forecast without active management. Unlike on-premises infrastructure where costs are largely fixed, cloud costs are variable by design. That variability works in your favor when workloads scale down. It works against you when idle resources, over-provisioned instances, and forgotten test environments accumulate unnoticed.

The four cost governance practices that prevent cloud sprawl from eroding the cost advantages that drove adoption in the first place:

Right-sizing. Instances provisioned for peak load and never scaled down after the peak are a common source of waste. Regular right-sizing reviews, supported by CloudWatch or Azure Monitor metrics, identify instances running well below their provisioned capacity and recommend smaller instance types.

Reserved capacity. On-demand pricing is the most expensive way to run stable workloads. AWS Reserved Instances and Azure Reserved VM Instances offer discounts of up to 72% for one or three-year commitments. Workloads with predictable, stable usage patterns should be on reserved pricing, not on-demand.

Idle resource cleanup. Unattached EBS volumes, unused Elastic IPs, orphaned load balancers, and forgotten storage buckets accumulate costs without providing value. A monthly hygiene review of idle resources is a standard part of cloud cost governance.

Budget alerts. Unexpected cost spikes are almost always detectable before they appear on the bill. Setting budget alerts in AWS Cost Explorer or Azure Cost Management provides early warning before a provisioning mistake or runaway process becomes a significant cost event.

For MSPs, cost governance is also a revenue opportunity. Identifying and eliminating $400 a month in avoidable cloud spend makes you a trusted advisor. Missing it makes you the person who let the client waste money.

Security monitoring

Cloud environments generate significant security telemetry: IAM activity logs, network flow logs, API calls, configuration changes, authentication events. The challenge for MSPs managing hybrid environments is normalizing this telemetry alongside endpoint and email data into a coherent security picture. Logging into AWS CloudTrail and Azure Monitor separately for each client to review security events is not a scalable operational model.

Kaseya SIEM ingests telemetry from major cloud platforms alongside endpoint, network, and email data, providing unified security visibility across hybrid environments from a single console. Kaseya Intelligence applies automated pattern recognition across this telemetry to identify anomalies that rules-based monitoring would miss, and executes response actions without waiting for a technician to review and act.

Three security monitoring baselines that should be in place for every managed cloud environment:

1. Cloud audit logging enabled in all regions. AWS CloudTrail and Azure Monitor Activity Logs are the source of truth for who did what in the cloud environment. Without them, incident investigation is working blind.

2. Alerting on privileged actions. IAM policy changes, new administrator account creation, and security group modifications should generate immediate alerts. These are the actions that precede most cloud environment compromises.

3. Configuration change detection. Changes to security-relevant resources, encryption settings, network controls, public access configurations, should be detected and reviewed, not discovered during a quarterly audit.

Backup for cloud infrastructure

Cloud-native backup tools, including AWS Backup and Azure Backup, provide operational recovery capability within the provider’s ecosystem. What they do not provide is independence from that ecosystem. A compromised cloud account, a ransomware attack that reaches cloud credentials, or a provider-side incident can affect both primary workloads and same-account backups simultaneously.

Independent, immutable backup stored outside the provider’s infrastructure is the additional layer that protects against these scenarios. Datto Backup for Microsoft Azure replicates Azure VMs and Azure Files to the Datto Cloud, outside the Azure ecosystem, with immutable storage, hourly replication, and flat-fee pricing that removes egress cost unpredictability.

For the full picture of cloud backup, including on-premises-to-cloud backup via Datto SIRIS and SaaS data protection via Datto SaaS Protection, see our cloud backup guide.

Documentation

Cloud environments without documentation are operationally fragile. The knowledge of what resources exist, why they exist, how they are configured, and how they connect to each other is essential for incident response, onboarding new team members, security reviews, and compliance evidence.

The pace of change in cloud environments makes documentation harder than in on-premises environments and more important. A VM that was provisioned six months ago for a project that has since ended, never tagged, never documented, running at cost with no owner, is a real and common problem. An undocumented security group rule that someone added during a late-night incident is a security risk that will not surface until an auditor or a breach makes it visible.

IT Glue provides the documentation infrastructure for cloud environments: VPC architecture diagrams, IAM structure, security group configurations, disaster recovery runbooks, and access credentials, all stored with per-client isolation and controlled access. Compliance Manager GRC integrates with IT Glue to pull compliance evidence directly into client documentation, reducing the manual overhead of audit preparation.

How Kaseya 365 supports cloud infrastructure management

VSA and Datto RMM extend agent-based patch management, monitoring, and automation to cloud-hosted Windows and Linux VMs alongside on-premises endpoints, from a single console.

Kaseya SIEM ingests cloud platform telemetry alongside endpoint and email data, providing unified security visibility across hybrid environments.

Kaseya Intelligence applies automated pattern recognition and response across managed environments, detecting configuration drift and anomalous activity without requiring manual review of every event.

Datto Backup for Microsoft Azure provides independent, immutable backup for Azure workloads outside the Azure ecosystem, with hourly replication and flat-fee pricing.

IT Glue stores documentation for cloud environments with per-client isolation, version history, and direct integration with Compliance Manager GRC for audit evidence generation.

Explore Kaseya 365 for cloud and hybrid environment management