4 vCPU Cloud VPS

Where this plan fits

• A production website or application with a real database behind it, receiving steady daily traffic.
• Several services on one server: an application, its database, a cache and a queue worker, without them competing for memory.
• A staging environment that mirrors production, including a current copy of the database.
• Scheduled continuous integration: building and testing an application on every push.
• An internal system such as CRM, inventory, billing or a staff portal, with a known user count.

Where it does not fit

• Large databases or anything approaching data warehousing. 8 GB is workable, but query speed depends more on indexes and query shape than on the plan, and no memory amount fixes a missing index.
• Large volumes of uploaded media served from here. 100 GB is generous for an application and thin once images, video and local backups are counted.
• Transcoding or image processing at volume, or other sustained CPU-bound work. Four virtual cores reach their ceiling.
• Adding services later without watching memory. Headroom disappears quickly, and the symptom looks like a sudden slowdown.

Typical workloads on these specs

• A CMS, or an application on Laravel or Django, with its database, a cache and a queue worker, serving several thousand page views a day.
• A transactional MySQL or PostgreSQL database with a few gigabytes of live data, sensible indexes and a daily dump.
• Three to five containers or systemd services behind a reverse proxy, with TLS termination and log rotation.
• Continuous integration: one build, a unit test suite and an image build per run.
• A public API consumed by a mobile app or partner integration, fronted by pooling and rate limiting.

When to move up

Track sustained memory rather than peak CPU. The signals: free memory under roughly a tenth of total across a full working day, swapping during business hours, four vCPUs averaging a load above about 3.0 for hours, or database, logs and backups passing two thirds of the disk. A structural reason to move up is needing a second database or worker with no memory for it.

What the network and isolation claims mean

Up to 1 Gbps: Up to 1 Gbps is the maximum speed of the port attached to the server, not throughput guaranteed at all times. Real speed depends on the provider's backbone, the distance and capacity of the visitor's network, and traffic from other servers sharing the path. Few sites need it: a page serving a few hundred connections is normally limited by CPU and database speed first. It matters for bulk data movement such as backups, database dumps and deployments.

Unlimited bandwidth: Unlimited bandwidth in Indian hosting usually means unmetered: there is no monthly transfer allowance and no traffic bill. It does not mean no rules attach. Most providers publish an acceptable use policy and reserve the right to shape traffic, throttle a connection or move an account to another plan if transfer stays very high over a sustained period, if bulk email is being sent, or if traffic is relayed or resold. Above a threshold set by the provider rather than by any specification table, a fair use policy may reduce speeds instead of cutting the connection. Confirm the threshold and whether the policy varies by plan. Unlimited is not the same claim as no limits of any kind.

Isolated resources: Isolated resources means the server has its own vCPU allocation, memory and disk, separate from other tenants on the same physical host. Shared hosting does not work that way: many sites share one machine and its resources, so a busy neighbour can make another site slow with nothing its owner can do. Here the limits are known numbers rather than variables. Two caveats: the physical host and its uplink are still shared, and dedicated virtual resources are not dedicated hardware. Disk here is SSD, which matters more than most buyers expect, because random reads and writes are dramatically faster than on a hard disk.

24x7 support coverage: 24x7 support coverage means a support channel is staffed at every hour of every day, rather than a desk that closes at night and at weekends. For a hosting provider that realistically means tickets, chat or email answered by whoever is on shift, including public holidays. It does not necessarily mean a dedicated engineer, a reply within a fixed number of minutes, or deep knowledge of a particular stack. Response targets come from the support policy, so confirm which channels are covered and whether out of hours requests get normal priority.

The three plans differ only in vCPU count, memory, SSD capacity and price. All three carry the same port speed, unmetered bandwidth, isolated virtual resources and 24x7 support coverage, so the decision is about how much compute and memory the workload needs, not which features are switched on. Plan A covers one application and a small database. Plan B covers the same application with real headroom, a cache and a worker. Plan C covers a busy application, or several services, where working hours performance is the requirement. The step from A to B matters most, because it is where a database stops competing with the application for the same 4 GB.

Choosing between the three

• Start from memory rather than traffic. Memory decides most cases, and what an application needs depends more on the stack and framework in use than on visitor numbers.
• Size for the largest single job, not the average. One memory-hungry PHP or Node process can dominate everything else on the server.
• Choose A for one application and one small database. Choose B once there is a database that matters, a cache, a worker, or a staging copy of the data. Choose C when peak responsiveness matters or several services share the machine.
• Check storage against growth, not today. Database size, log retention, uploaded media and local backups accumulate, and disk is the hardest resource to expand later.
• Count services before cores. Four services that each want 2 GB is an 8 GB problem, not a four vCPU one, and the cores idle while the memory runs out.

Whether upgrading is worth it

• Upgrade on a sustained resource limit, not on a spike. Memory held near full across a working day, a load average pinned near the vCPU count for hours, or a database approaching two thirds of the disk.
• Optimise first in the common cases: add indexes and turn on slow query logging, put a page or object cache in front of the application, configure log rotation, prune old files, and move media to object storage or a CDN.
• The step from A to B adds ₹800 a month and typically removes memory pressure outright, which makes it the highest value move in the range.
• The step from B to C adds ₹1700 a month and buys peak headroom rather than relief from a specific bottleneck. Worth it when latency matters, questionable when the smaller plan sits idle.
• If usage is genuinely variable, check what a smaller configuration for part of the day, or hourly billing, would cost, and confirm whether either is offered.

The other plans in this range are 4 vCPU, 8 GB RAM, 100 GB SSD and 6 vCPU, 16 GB RAM, 150 GB SSD. For hosting and migration support rather than a server to rent, see web hosting services and cloud services.