docs: Update performance guide

docs/processing-performance.asciidoc

@@ -5,40 +5,110 @@ APM Server performance depends on a number of factors: memory and CPU available,
 network latency, transaction sizes, workload patterns,
 agent and server settings, versions, and protocol.
 
-Let's look at a simple example that makes the following assumptions:
+// Assumptions
+// TBD
 
-* The load is generated in the same region as where APM Server and {es} are deployed.
-* We're using the default settings in cloud.
-* A small number of agents are reporting.
+// Method
+To help you understand how sizing APM Server impacts performance, we tested several scenarios:
 
-This leaves us with relevant variables like payload and instance sizes.
-See the table below for approximations.
-As a reminder, events are
+* Using the default hardware template on AWS, GCP and Azure on {ecloud}.
+* Comparing the performance when using OpenTelemetry (OTel) events on at least one of the service providers listed above (in this case, GCP).
+* For each hardware template, testing with several sizes: 1 GB, 4 GB, 8 GB, and 32 GB.
+* For each size, using a fixed number of APM agents: 10 agents for 1 GB, 30 agents for 4 GB, 60 agents for 8 GB, and 240 agents for 32 GB.
+* In all scenarios, using medium sized events. Events include
 <<data-model-transactions,transactions>> and
 <<data-model-spans,spans>>.
 
+// This leaves us with relevant variables like payload and instance sizes.
+
+// Results
+You can use the results of our tests to guide your sizing decisions, however, performance will vary based on factors unique to your use case like your specific setup, the size of APM event data, and the exact number of agents.
+
+:hardbreaks-option:
+
 [options="header"]
-|=======================================================================
-|Transaction/Instance |512 MB Instance |2 GB Instance |8 GB Instance
-|Small transactions
+|====
+| Profile / Cloud | AWS | Azure | GCP (Agent) | GCP (OTel)
+
+| *1 GB*
+(10 agents)
+| 9,600
+events/second
+| 6,400
+events/second
+| 9,600
+events/second
+| 28,000
+events/second
+
+| *4 GB*
+(30 agents)
+| 25,500
+events/second
+| 18,000
+events/second
+| 17,800
+events/second
+| 49,300
+events/second
+
+| *8 GB*
+(60 agents)
+| 40,500
+events/second
+| 26,000
+events/second
+| 25,700
+events/second
+| 89,300
+events/second
 
-_5 spans with 5 stack frames each_ |600 events/second |1200 events/second |4800 events/second
-|Medium transactions
+| *16 GB*
+(120 agents)
+| 72,000
+events/second
+| 51,000
+events/second
+| 45,300
+events/second
+| 145,000
+events/second
 
-_15 spans with 15 stack frames each_ |300 events/second |600 events/second |2400 events/second
-|Large transactions
+| *32 GB*
+(240 agents)
+| 135,000
+events/second
+| 95,000
+events/second
+| 95,000
+events/second
+| 381,000
+events/second
 
-_30 spans with 30 stack frames each_ |150 events/second |300 events/second |1400 events/second
-|=======================================================================
+|====
 
-In other words, a 512 MB instance can process \~3 MB per second,
-while an 8 GB instance can process ~20 MB per second.
+:!hardbreaks-option:
 
-APM Server is CPU bound, so it scales better from 2 GB to 8 GB than it does from 512 MB to 2 GB.
-This is because larger instance types in {ecloud} come with much more computing power.
+// In other words, a 512 MB instance can process \~3 MB per second,
+// while an 8 GB instance can process ~20 MB per second.
+
+APM Server is CPU bound and larger instance types in {ecloud} come with much more computing power.
+// so it scales better from 2 GB to 8 GB than it does from 512 MB to 2 GB.
 
 Don't forget that the APM Server is stateless.
 Several instances running do not need to know about each other.
 This means that with a properly sized {es} instance, APM Server scales out linearly.
 
-NOTE: RUM deserves special consideration. The RUM agent runs in browsers, and there can be many thousands reporting to an APM Server with very variable network latency.
+NOTE: RUM deserves special consideration. The RUM agent runs in browsers, and there can be many thousands reporting to an APM Server with very variable network latency.
+
+// [discrete]
+// ==== Troubleshoot sizing issues
+
+// [discrete]
+// ===== Scale the APM Server and ES
+
+// [discrete]
+// ===== Apply head based sampling
+
+// [discrete]
+// ===== Apply tail based sampling