G2

Derek K.

IT Operations & SaaS Evaluation Lead

Computer Networking

Mid-Market (51-1000 emp.)

10/23/2026

"Fast, Repeatable Lab Sandboxes with Droplet Templates, Tagging, and Simple Firewalls"

4.5/5

What do you like best about DigitalOcean?

As IT Operations & SaaS Evaluation Lead at North Peak Network Solutions, the standout strength of DigitalOcean for our team is its droplet template system paired with consolidated billing and simple network firewall controls, which streamline the temporary lab environments we build to validate client network designs before field technicians touch on-prem hardware. We deliver router, switch, and firewall deployments for SMBs, and every new project calls for a sandbox to simulate VLAN segmentation, failover routing rules, and bandwidth shaping policies. Our shared IT group is small and stretched thin across client tickets, so we cannot sink excessive cycles into spinning up and tearing down test infrastructure.

We build reusable Droplet templates preloaded with our standard testing stack: routing simulation tools, packet capture utilities, and configuration validation scripts. When our network engineers need to replicate a client’s planned topology, they spin up matching instances from these templates in roughly 60 seconds. On a recent multi-site retail network rollout, we stood up seven separate test droplets to mirror each store’s intended subnet layout. This cut our pre-deployment validation cycle down by nearly ten hours for that project alone, removing the manual OS installation and package configuration work that once slowed our design reviews. The built-in cloud firewall integrates directly with each droplet, letting us lock down test environments to only our team’s public IP ranges without juggling complicated multi-layer security rules.

I also lean heavily on DigitalOcean’s project tagging structure to separate client lab resources from our internal SaaS testing environments. Tags let us group droplets, volumes, and snapshots by individual client engagement. Once we finish validating a network design and hand configurations to our subcontractor technicians, a quick bulk filter lets us select all tagged resources and destroy them at once. This granular tagging prevents stray test instances from lingering and racking up ongoing charges, a common pain point we faced with other cloud platforms where orphaned resources slipped past our audits.

An unexpected benefit surfaced during our SaaS benchmarking work. When I evaluate new monitoring or helpdesk platforms for our client roster, I spin up isolated DigitalOcean droplets to host test agents and simulate unstable network conditions like packet loss and latency spikes. This controlled sandbox lets us gauge how candidate SaaS tools perform under real-world SMB network stress, rather than only reviewing polished vendor demo environments. The data from these tests adds depth to our vendor assessment reports and helps us steer our business clients away from tools that break easily on constrained local networks.

DigitalOcean is not without gaps; its advanced BGP and complex load-balancing features are limited compared to hyperscalers, so we still shift high-scale simulations to alternate platforms occasionally. It also lacks native integration with our project management tool, meaning we manually log lab spin-up and teardown times for internal billing tracking. Even so, its straightforward provisioning model aligns perfectly with our project rhythm. It gives our network engineering team lightweight, repeatable cloud sandboxes for pre-deployment validation, protects us from runaway cloud spend through clear tagging workflows, and enriches our SaaS evaluation process with practical, stress-tested performance data for the SMB networks we support. Review collected by and hosted on G2.com.

What do you dislike about DigitalOcean?

As IT Operations & SaaS Evaluation Lead at North Peak Network Solutions, DigitalOcean serves our lightweight lab testing workflows well, yet its narrow advanced networking toolset, rigid permission framework, and shallow native monitoring create meaningful roadblocks when we replicate the layered SMB network environments our clients rely on. Much of our work centers on validating multi-VLAN routing, site-to-site VPN tunnels, and redundant firewall failover before our field technicians deploy hardware on location, and these gaps force our team to build clunky workarounds that eat into project lead time.

The most impactful limitation comes from constrained advanced routing functionality. We regularly build test beds to simulate dual-WAN setups for retail and office clients that depend on automatic failover between internet circuits. DigitalOcean does not expose flexible BGP controls or granular route policy tuning within its VPC environment, which means we cannot mimic real-world ISP routing behaviors accurately. On a recent project for a regional dental group with two separate broadband links, our engineers needed to test route preference and packet rerouting during an upstream outage. Instead of running the simulation entirely on the platform, we had to spin up a separate local virtual machine alongside Droplets, manually bridge traffic between the two environments, and cross-verify routing tables by hand. This workaround stretched validation time by nearly three hours and introduced extra variables that risked skewing our test conclusions.

Role-based access controls also create friction as we bring contract technicians into client lab environments. Our subcontractors often require access only to resources tied to a single deployment project, without visibility into other client test assets or billing settings. DigitalOcean’s permission model operates at a broad workspace level; there is no way to lock a user to a single tagged project or isolated VPC. Last month, I had to create a standalone secondary account for a contract network engineer working on a hotel Wi-Fi rollout. Once testing wrapped, I walked through full account teardown and access auditing, a repetitive process that adds administrative overhead for every short-term specialist we onboard.

Its built-in monitoring stack only tracks basic resource utilization metrics such as CPU, RAM, and bandwidth totals. It lacks packet-level tracing, flow logging, and alerting for custom network thresholds we use to validate latency, jitter, and packet loss. When we run stress tests to see how candidate SaaS tools behave under degraded network conditions, the native dashboards cannot flag subtle issues like out-of-order packets or asymmetric routing. Our engineers must install third-party agents on every Droplet, forward logs to an external aggregator, and build custom alert rules outside the platform. This extra configuration cycle adds setup work for every lab template we deploy.

An unexpected secondary frustration shows up with reserved IP allocation caps. For complex test environments that simulate multiple client public IP footprints, the default limit on reserved IPs forces us to submit support tickets and wait for manual approval. These delays throw off our scheduled validation windows when client project timelines leave little buffer.

I still turn to DigitalOcean for simple, fast lab spin-ups, but it cannot act as our single cloud platform for sophisticated network pre-deployment validation. We keep other cloud vendors in our toolkit for advanced routing and flow analysis, which splits our testing workflow and increases the amount of cross-platform documentation our small IT group must maintain. The platform’s simplicity becomes its biggest weakness the second our testing moves past basic virtual server validation into the nuanced routing scenarios that define most of our SMB infrastructure deployments. Review collected by and hosted on G2.com.

What problems is DigitalOcean solving and how is that benefiting you?

As IT Operations & SaaS Evaluation Lead at North Peak Network Solutions, DigitalOcean addresses our need for low-friction, cost-controlled temporary cloud infrastructure where our network team can prototype and validate SMB network configurations before field crews touch physical hardware. Before adopting it, our testing cycle relied on a small pool of aging on-prem servers that were perpetually oversubscribed. We struggled to carve out isolated sandboxes for every client design review, and hardware failures would halt validation work mid-project, but now we can spin up ephemeral Droplet environments from saved templates, which has resulted in more consistent pre-deployment testing and fewer costly configuration mistakes once technicians arrive at client sites.

Each client network rollout demands validation of VLAN rules, firewall policies, bandwidth limits, and basic VPN behavior. Our old setup required manual OS installs, package setup, and network stack tuning for every new test instance, work that could take half a day for a single multi-node topology. DigitalOcean’s saved Droplet templates come preloaded with our packet capture tools, routing utilities, and baseline security settings. During a recent office campus deployment spanning four locations, our engineers brought online eight separate instances in minutes to mirror each site’s subnet scheme. This cut the end-to-end validation window by roughly nine hours, letting us catch misconfigured firewall forwarding rules in the cloud rather than troubleshooting live on the client’s production network. Project tagging and bulk resource deletion also keep spending in check; once testing wraps for an engagement, we filter resources by client tag and remove everything at once, eliminating orphaned virtual machines that once lingered and inflated our cloud bills.

The platform’s straightforward VPC and firewall controls also simplify boundary testing for the SaaS tools I assess. When I benchmark helpdesk or network monitoring software for our SMB clients, I create closed test environments to simulate restricted internet access and segmented internal subnets. These isolated spaces reveal how tools respond under realistic business network constraints, instead of only showing polished vendor demo behavior. Insights gathered from these tests feed directly into our vendor recommendation memos, so we can advise clients based on hands-on performance data rather than marketing materials.

An unexpected benefit emerged around our subcontractor coordination workflow. We often share read-only test screenshots and simulation logs generated inside DigitalOcean sandboxes with contract technicians ahead of site visits. These visual records align the whole team on intended routing behavior before deployment begins, reducing miscommunication between our in-house engineers and third-party install crews.

That said, the platform carries clear limitations that shape how we design our test cycles. Its routing feature set falls short when we need to replicate complex dual-WAN failover and BGP route preference scenarios common with larger SMB clients. Native monitoring only covers core resource consumption metrics, lacking built-in flow logs and packet tracing for deep network diagnostics. We also face rigid workspace permissions that prevent us from granting contract technicians access limited to just one client project, forcing extra account setup and audit steps.

Even with these tradeoffs, DigitalOcean forms a reliable foundation for our day-to-day pre-deployment testing. It removes the bottlenecks created by our limited on-prem lab hardware, accelerates validation for routine network designs, and adds practical depth to our SaaS evaluation work, all while staying manageable for our small shared IT team without deep cloud specialist support. Review collected by and hosted on G2.com.