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01 / BARE-METAL INFRASTRUCTURE

Dedicated Servers
— Germany

Germany (Frankfurt) · 1 / 10 / 20 / 40 Gbps

32 configurations available

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Your Frankfurt dedicated server, with someone on the other end

Germany carries a large share of European traffic. If you plan to host a database, an API or a demanding backend in Frankfurt, explain the workload and we will suggest the dedicated hardware and port speed that make the most sense to start with.

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Illustrative photograph · Virtuo Doc · CC BY-SA 4.0
Computer components and equipment in an illustrative photograph
Illustrative photograph · Autoría no indicada en Commons · CC BY-SA 3.0

Budget memory for a database server in Germany

Coreo.cloud’s dedicated servers in Germany provide options with different memory capacities and network ports. When the intended workload is a database, begin with the information you query regularly and the sessions you need to serve. Total database size and connection count are useful starting points; selecting the largest RAM figure in the list does not complete the assessment of your application’s resource needs.

In PostgreSQL, shared buffers and memory used by query operations have different roles. Reserve resources for the operating system and any processes accompanying the database engine as well. Design a scenario with representative sessions, keep your parameters documented and compare memory use before expanding the configuration. This distinction helps assess whether you need memory for frequently accessed data or concurrent work, without applying a generic percentage to every installation.

Cabling and connections in network equipment
Illustrative photograph · Dennis van Zuijlekom · CC BY-SA 2.0

Connect query behavior with your server selection

To compare dedicated servers in Germany for database queries, prepare examples of the operations that matter to the service: frequent searches, broad reports and requests with demanding filters. Use an appropriate test dataset and retain the result each query should produce. This list makes the machine’s required work visible instead of treating the processor’s model name as the complete description of the workload.

PostgreSQL’s documentation distinguishes an estimated query plan from the execution observed with EXPLAIN ANALYZE. The latter runs the query, so use a suitable test environment. Compare timing and processed rows against the same data, recording changes to the plan. If a query performs unnecessary work, review its design before attributing every difference to the server. Then compare the selected offer with the resource requirements that remain after that review.

Listed as available
Xeon 2667 v2
64 GB DDR3 · 500GB SSD · 1 Gbps
140 €
net / month
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