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PI Integration Audit
Service

PI Integration Audit

A focused review of your PI Web API integration by specialists who have seen what works and what breaks in production. Get a clear report on what is working, what is risky, and what to fix first.

What you get

Architecture review

We review your integration architecture, data flow, and PI Web API usage patterns. Identify bottlenecks, single points of failure, and scalability limits.

Security assessment

Evaluate authentication method, certificate handling, credential storage, PI identity mapping, and network security posture. Aligned with IEC 62443 where applicable.

Code quality review

Assess error handling, retry logic, pagination, batch usage, digital state handling, quality flags, and overall code structure against PI Web API best practices.

Written report with code fixes

Receive a prioritized findings report with severity ratings (Critical, High, Medium, Low), specific code examples showing the fix, and a suggested remediation sequence.

What we look for

CategoryWhat we check
AuthenticationAuth method choice, credential storage, session management, Kerberos delegation
SSL / CertificatesCertificate validation, CA bundle trust chain, verify=False usage
Connection managementSession reuse, connection pooling, socket exhaustion risk
Error handlingRetry logic, backoff strategy, partial failure handling, error classification
Batch usageChunk size, sub-request error checking, memory impact
PaginationTruncation detection, time-based pagination, continuation tokens
Data handlingDigital state handling, quality flags, timezone awareness, selectedFields
ObservabilityLogging, health checks, metrics, alerting
DeploymentEnvironment config, secrets management, container readiness

Common findings

These are the issues we find most often. If any sound familiar, an audit will help quantify the risk and provide the fix.

Critical

SSL verification disabled in production (verify=False)

Critical

Credentials stored in plaintext config files or source code

High

No retry logic for transient failures (502, 503, 504)

High

Batch responses checked at top level only -- sub-request failures silently ignored

Medium

New HttpClient/Session created per request, causing socket exhaustion

Medium

No selectedFields parameter -- transferring 5x more data than needed

How it works

1

Share your integration

Send us your codebase, architecture diagram, or a walkthrough of your PI Web API integration. We sign an NDA if needed. We typically need read access to the repository and a brief call to understand the context.

2

We review

Our PI Web API specialists review your integration against production best practices, security standards, and performance patterns. We test with real PI Web API behavior in mind, not just code quality.

3

You get a report

Within 5 business days, you receive a written report with findings rated by severity, specific code fixes for each issue, and a recommended remediation order.

4

Optional: We implement the fixes

If you want hands-on help implementing the recommendations, we can scope a follow-up engagement. Many teams do the high/critical fixes themselves using our code examples and engage us for the architectural changes.

Who this is for

  • You have an existing PI Web API integration that needs hardening before going to production
  • You inherited a PI integration from a previous team or vendor and need to understand its state
  • You need to meet internal security or compliance requirements (IEC 62443, SOC 2)
  • Your PI data pipeline has reliability issues and you want an expert second opinion
  • You are considering a migration from AF SDK to PI Web API and want to validate your approach

Get started

Request an integration audit

Tell us about your integration and we will scope the audit. Most audits are completed within one week. The scoping conversation is free and typically takes 30 minutes.

Contact PiSharp

Looking for something different?

Need a new integration built from scratch? Check the PI Web API Quickstart Package. Need a data pipeline? See the PI Data Pipeline Sprint.