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Capabilities, scope and resources ​

For people evaluating SoftProbe: what it does, what kind of systems it fits, how it affects the service under test, and what the platform needs.

What it does ​

CapabilityDescription
Traffic recordingAdd the agent to a Java service's start flags — no code changes — to record entry requests and responses, plus calls to databases, caches and downstream services
Traffic replaySend recorded requests to a new version in a test environment; dependency calls can be answered from the recording, so the test environment doesn't need every dependency
Automatic comparisonCompares recorded and replayed results field by field; diff rules ignore fields that change every time, such as timestamps and random IDs
Replay reportA verdict, and failed cases grouped by cause; with AI diagnosis connected, an analysis of whether each difference comes from a code change, pointing to the code. Exports to Excel and PDF
Pinned casesKeep important recordings for good and replay them again and again
Scheduled and pipeline replaysReplay automatically every day; or trigger a replay from your pipeline after a deploy, gate the release on the verdict, and send the result to Feishu, DingTalk or your own system
Data protectionRecorded payloads are encrypted in the database; masked by rule when viewed
Several ways inThe console, the sp command line, and the replay trigger Open API; AI agents can drive the command line

Scope ​

  • Language: Java, JDK 8, 11, 17 and 21.
  • Frameworks and middleware: common web frameworks, HTTP clients, database access, caches and RPC frameworks are supported; the full list is in Supported frameworks. Frameworks outside the list are assessed and adapted before onboarding.
  • Replay entry points: HTTP/HTTPS, and RPC entry points such as Dubbo.
  • Deployment: SoftProbe Cloud, or self-hosted on a single server (All-in-One) or on Kubernetes; self-hosted can run fully offline.

Impact on the service under test ​

ConcernWhat to expect
OnboardingAdd -javaagent and a few flags to the start command and restart; no code changes, no extra servers
MemoryThe agent shares the JVM's memory; leave about 512 MB of headroom, more for very large (MB-sized) payloads or higher sampling
VolumeBy default about one request per minute, per instance, per endpoint — not everything; adjustable under Config → Recording
UploadA background thread uploads recorded data, so business requests don't wait for the network; a full buffer drops data instead of waiting for space
When the platform failsPending data sits in a bounded in-memory buffer; when it's full, new data is dropped rather than piling up. Repeated upload failures lower the sampling rate automatically, and recording recovers when the platform does — no restart. Details: Attach the Java agent — production safety
High CPU or memoryThe agent goes into a protective state and lowers the sampling rate until usage drops
RollbackRemove the added flags and restart

Load on the replay target ​

  • By default at most 5 requests per second go to the target (each target address in a replay plan counts as one instance). Change the default under Config → Replay.
  • A single run can use Standard (slows down on errors), Serial (one case at a time), or Fixed total RPS (for load tests). Standard mode takes a speed multiplier from 0.25× to 4×.

Platform resources ​

Single-server deployment (All-in-One): the whole platform on one Linux server (x86_64 or arm64):

ItemRecommendedNotes
CPU8 cores, at least 4More cores handle more replays and comparisons at once
Memory16 GB8 GB is enough without AI diagnosis
Disk100 GBMostly recordings and logs, cleaned up by retention period; very large payloads, many endpoints or high sampling need more

The full checklist and network rules: Before you deploy. Resources for Kubernetes: Kubernetes deployment (Helm).

Data security ​

  • Recorded request and response payloads are encrypted before they're written to the database, with AES-GCM or SM4-GCM. The standard image and the Helm chart turn it on by default; the key is set at deployment.
  • Redaction only affects display: payloads are masked by rule when viewed in the console. The database keeps the full, encrypted payload, because replay needs the original.
  • When self-hosted, data stays on your own servers; without AI diagnosis and notifications, the platform needs no internet access.

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