Contents
- 1 How is server capacity planning?
- 2 How do I increase server capacity?
- 3 How do I choose a server?
- 4 How can I speed up my server?
- 5 How are saps calculated?
- 6 How to calculate server capacity and planning for future users?
- 7 How to calculate server capacity in DevOps Stack Exchange?
- 8 How can I find out how many servers are in my data center?
How is server capacity planning?
Server capacity planning is the process of using your understanding of current server capacity usage to optimize present and plan for future server performance. At its core, server capacity planning involves monitoring and alerting on server resources, such as CPU, memory, disk, and network.
How do I increase server capacity?
If data server capacity does not meet your present or future needs, you can expand its capacity by adding disk space and creating additional containers, or by adding memory. If these simple strategies do not add the capacity you need, also consider adding processors or physical partitions.
What is HW sizing?
Hardware sizing is a process wherein data is gathered on usage scenarios and then through analysis one may predict the optimal hardware configuration for a given usage scenario. The combination of both physical and virtualized configurations has introduced resiliency, scalability, and high performance.
How do I choose a server?
6 Things to Consider When Selecting a Dedicated Server
- Define Performance Requirements. Each company has unique performance requirements for their servers.
- Consider Potential Downtime.
- Anticipate Bandwidth Usage.
- Test Network Quality.
- Consider Application Scalability.
- Choose a Hosting Provider.
How can I speed up my server?
How to optimize and speed up your server by more than 20%
- Enable caching.
- Setup a fast reverse proxy.
- Choose the right application server.
- Fine tune your web server.
- Turn on HTTP/2.
- Defragment your database tables & optimize server settings.
- Fix your DNS query speed.
- Trim down your site’s critical rendering path.
How do you use SAP sizing?
For a greenfield sizing, proceed as follows:
- Call Quick Sizer (classic or HANA)
- Create a sizing project with the relevant information, such as number of users.
- Get an initial result for CPU, disk and memory.
- Possibly apply additional guidelines on top.
- Check for sample configurations at www.sap.com/benchmark.
How are saps calculated?
To get the SAPS per core we divide the value by the number of cores, in this case 44. This gives us 2140 SAPS per Core at 100% utilization. To get the SAPS per core at 65% utilization, we need to multiple the SAPS per core by 0.65.
How to calculate server capacity and planning for future users?
To get started, setup data collection for the above counters, and collect data for a full day on a normal day and peak load day. This give you an understanding of where your resource consumption stands today. To forecast future needs, you can plot user load against the resource consumption graphs above.
When to start planning for server capacity spikes?
However, if your servers are running that hot, you should already be planning to bring down the resource consumption to lower level so that you have capacity for spikes. Hopefully this method provides some guidance on helping you monitor and scale your workload using out of the box performance counters.
How to calculate server capacity in DevOps Stack Exchange?
If you already know the behaviour of your overal system – i.e., whether it scales linearly, whether there are bottlenecks like databases, lock contention and such, then you can take shortcuts or good guesses. That’s one of the reasons for doing the container-based scaling we do these days – you can throw a few more workers at it relatively easily.
How can I find out how many servers are in my data center?
You will also need to find out your Facility Voltage (VAC), which will likely be 120V or 240V. Next, you need to determine the Number of Racks and the number of Servers Per Rack. If you don’t know any of these variables, you can easily find out by asking your data center staff.