Salesforce Debug Log Analyzer: Read Apex & Flow Logs Visually
A Salesforce debug log analyzer parses raw Apex debug logs and turns them into visual, navigable views — execution trees, timelines, SOQL and DML breakdowns, and governor limit reports — so you can find the root cause of an error or slowdown in seconds instead of scrolling through thousands of log lines.
This guide explains what's actually inside a Salesforce debug log, how to read one by hand, why raw logs are so painful at scale, and what a modern analyzer like ForceLens does differently. It's written for Salesforce developers, admins, and architects who debug Apex, Flows, and performance issues.
What a Salesforce debug log actually contains
Every debug log is a chronological event stream of a single transaction. Each line has a timestamp, an event type, and event-specific details. The events you'll rely on most:
| Event | What it tells you |
|---|---|
EXECUTION_STARTED / FINISHED | The boundaries of the transaction. |
CODE_UNIT_STARTED / FINISHED | Entry into a trigger, class method, Flow, or workflow — the skeleton of the execution tree. |
SOQL_EXECUTE_BEGIN / END | Each query, its SOQL text, and rows returned. |
DML_BEGIN / END | Each insert/update/delete and how many rows it touched. |
FLOW_START_INTERVIEW / FLOW_ELEMENT_* | Which Flow ran and which elements executed. |
USER_DEBUG | Your own System.debug() output. |
EXCEPTION_THROWN / FATAL_ERROR | Where things blew up, with the stack trace. |
LIMIT_USAGE_FOR_NS | Governor limit consumption — SOQL queries, DML, CPU time, heap. |
For the full event catalog, see Salesforce's own debug log documentation. For a hands-on walkthrough of enabling and reading logs, see our tutorial: how to read Apex debug logs step by step.
Why raw logs are hard to read
- Volume. A single record save in a mature org can produce tens of thousands of lines: triggers, record-triggered flows, validation, roll-ups, and recursive re-entry all interleave.
- Truncation. Logs are capped at 20 MB; above that Salesforce silently drops lines, so the one line you need may be missing unless log levels are tuned.
- No structure. The log is flat text. Nesting (which trigger called which class which ran which query) exists only implicitly, in matching
*_STARTED/*_FINISHEDpairs you have to track mentally. - No aggregation. "How many queries did this transaction run, and which one returned 50,000 rows?" requires you to count by hand.
What a debug log analyzer does
An analyzer parses the event stream and rebuilds the structure a human actually needs:
- Execution tree — the nested call hierarchy of code units, so you see what called what.
- Order of execution — before/after triggers, validation rules, flows, and workflow in the sequence Salesforce actually ran them. This is ForceLens's signature view; the same diagram architects draw on whiteboards, generated from your real log.
- SOQL & DML analysis — every query and DML statement, aggregated, with row counts — the fastest way to spot queries in loops and non-selective SOQL.
- Performance & CPU breakdown — where the milliseconds went, essential when you're fighting an Apex CPU time limit exceeded error.
- Limits report — governor limit consumption at a glance (see governor limits explained).
- Error surfacing — exceptions and fatal errors pulled to the top with their context, instead of buried at line 48,112.
How ForceLens works
ForceLens is a free Chrome extension that runs entirely in your browser. The workflow:
- Capture in one click. Smart Capture creates the trace flag for you, watches for new logs, and opens them analyzed — no Setup ritual. Or click "Inspect Log" beside any existing log in Setup or the Developer Console.
- Parse locally. 100k+ line logs parse in under 100 ms, in your browser. Nothing is uploaded anywhere.
- Analyze through 12 lenses. Overview, Log Explorer, Execution Tree, Order of Execution, Apex Debug, AI Pulse, Errors, Timeline, DML, SOQL, Performance, and Limits.
- Explain with your own AI key (optional). Bring a Claude, GPT, Groq, or OpenRouter key; calls go directly from your browser to that provider.
ForceLens vs. built-in Salesforce tools
| Developer Console | Apex Replay Debugger (VS Code) | ForceLens | |
|---|---|---|---|
| Where it runs | Browser (separate window) | VS Code + SF CLI setup | In your existing Salesforce tab |
| Log capture | Manual trace flags | Manual trace flags | One-click Smart Capture |
| Order of execution view | No | No | Yes, reconstructed per transaction |
| SOQL/DML/limits aggregation | Partial (raw panels) | No | Yes, dedicated tabs |
| Flow analysis | No | No | Yes — log events + Flow Builder lenses |
| AI explanations | No | No | Optional, with your own key |
| Step-through debugging | No | Yes (replay) | No — analysis, not a debugger |
| Cost | Free | Free | Free |
Each tool has a place — the Replay Debugger is genuinely the right choice when you need to step through variable state line by line. For a fuller, honest comparison of the ecosystem, see Salesforce Developer Console alternatives.
Frequently asked questions
What is a Salesforce debug log analyzer?
A tool that parses raw Apex debug logs and presents them visually — execution tree, timeline, order of execution, SOQL/DML breakdown, and governor limit report — so developers can find errors and performance problems far faster than reading the log line by line.
Is ForceLens free to use?
Yes. Log capture, parsing, order-of-execution reconstruction, and Flow analysis are all free and run locally. Optional AI explanations use your own API key, so you only ever pay your own AI provider.
Do I need to download my logs to analyze them?
Not with ForceLens. It adds an "Inspect Log" link directly on the Debug Logs list, the log detail page, and inside the Developer Console — and Smart Capture sets the trace flag and opens the captured log automatically.
Does a log analyzer send my Salesforce data to a server?
ForceLens does not. Logs are parsed in your browser and stored only in local browser storage. The only outbound requests are AI calls you explicitly trigger, sent directly to the provider whose API key you configured. Details in the Trust Center.
Can it analyze Flow debug logs too?
Yes. Flow elements appear in debug logs as FLOW_* events, and ForceLens surfaces them in the execution tree and order of execution. It can also analyze a Flow's structure directly from Flow Builder — see Salesforce Flow debugging.
Try it on your next log
Install ForceLens free, open any debug log in your org, and see the execution instead of reading it. No account, no server, no cost.