{"id":77793,"date":"2026-07-16T01:24:34","date_gmt":"2026-07-16T01:24:34","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=77793"},"modified":"2026-07-16T01:24:35","modified_gmt":"2026-07-16T01:24:35","slug":"what-error-logs-can-teach-you-about-website-performance","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/what-error-logs-can-teach-you-about-website-performance\/","title":{"rendered":"What Error Logs Can Teach You About Website Performance"},"content":{"rendered":"\n

An error log is the most detailed performance report a website produces, and almost nobody reads it. Every failed request and every server crash leaves a line in it, with a timestamp and a reason, and so does every slow database call. While owners guess at why a site feels slow, the answer is usually in a text file the host already keeps. A study by Moz found that intermittent 500 errors pushed tracked keywords out of the top 20 search results, and the log would have flagged those errors the day they started. Reading it is the cheapest performance work available because the data is already collected.<\/p>\n\n\n\n

Inside the Error Log<\/p>\n\n\n\n

A web server keeps two logs worth knowing. The access log records every request that reaches the site, and the error log records the ones that failed and why. A single line holds the time, the address requested, the response code, and often the size and the time taken to answer. Read in bulk, those lines form a record of how the site behaves under real traffic, the kind of test a test cannot reproduce. The patterns matter more than any one entry. A hundred 404s for the same address is a broken link somewhere. A burst of 500s at the same minute each day is a scheduled job overloading the server.<\/p>\n\n\n\n

Reading Status Codes<\/p>\n\n\n\n

The response code on each line is the fastest read. Codes in the 200 range mean success. Codes in the 400 range mean the request was wrong, most often a 404 for a page that does not exist. Codes in the 500 range mean the server itself failed, through a crashed process, a database that stalled, or memory that ran out. The split tells you where to look. A 404 points back to your own content or links, and a 500 means the trouble is on the server or in the code it runs. Counting how many of each appear, and when, turns a wall of text into a short list of problems.<\/p>\n\n\n\n

Accessing the Logs<\/p>\n\n\n\n

Getting to the logs is easier than most people think. Server access and error logs are usually in the hosting control panel under a logs or metrics section, and a powerful WordPress hosting<\/a> account exposes them without a support ticket. WordPress keeps its own record as well. Adding a few lines to the wp-config.php file turns on a debug log that captures PHP errors, notices, and warnings in the wp-content folder. Turn it on while you investigate, then turn it off on a live site, since a verbose log left running fills disk space and can leak detail you would rather keep private.<\/p>\n\n\n\n

The 404 Problem<\/p>\n\n\n\n

A 404 is the most common error in most logs, and the easiest to dismiss. Each one is a visitor or a crawler that asked for something and got nothing. A few scattered 404s are normal, but the same one appearing hundreds of times usually means a link on the site points to a page that moved or was deleted, and every visitor following that link hits a dead end. Search engines treat a site full of dead links as poorly kept, and a high count of 404s on important pages can pull related rankings down. The log gives you the exact addresses to fix, by restoring the page or pointing a redirect at the right one.<\/p>\n\n\n\n

Server Errors and Downtime<\/p>\n\n\n\n

A 500-range error is the one to act on first. It means real visitors saw a broken page, and search crawlers did too. Repeated server errors do more than lose the moment. When crawlers meet 500s often enough, they lose confidence in the site and can drop pages from the index entirely. The money cost climbs fast as well. One widely cited benchmark put downtime near $5,600 a minute, and 41% of organizations say a single hour offline costs more than $100,000. In 2024, a single faulty security update caused the largest IT outage on record, and its direct losses to Fortune 500 companies reached an estimated $5.4 billion. Few sites ever face a number like that, but the mechanism is the same one a small error log records. The log timestamps tell you exactly when the errors began, which is the first clue to what changed.<\/p>\n\n\n\n

Bots and Security Probes in the Log<\/p>\n\n\n\n

The log also shows what else is reaching the site. Automated traffic now makes up half of global internet traffic, from search crawlers to scrapers to scripts hunting for a way in. None of this shows on an analytics dashboard, which filters bots out, yet it sits in plain view in the server log. Reading it tells you what the site is fending off, and a sudden rise in these requests often explains a sudden rise in server load.<\/p>\n\n\n\n

The probes have a signature. Repeated requests for wp-login.php from one address usually mark a login attack in progress, the local version of campaigns that generate billions of login attempts across the web. Hundreds of 404s for files like .env or wp-config.php.bak are a scan looking for exposed secrets. The log is where these attempts show themselves, long before any of them succeed.<\/p>\n\n\n\n

Slow Queries and Hidden Drag<\/p>\n\n\n\n

Not every performance problem shows up as an error. A page can return a correct 200 and still take four seconds because a database query behind it is slow. These cases hide from a basic error log, which is why the slow query log exists. On WordPress, a setting called SAVEQUERIES and a tool like Query Monitor record each database call with the time it took and the code that triggered it. One badly written query in one plugin can drag every page on the site, and the slow log is where it shows up. Fixing the worst few queries often does more for speed than anything else you could change.<\/p>\n\n\n\n

Turning Logs into a Routine<\/p>\n\n\n\n

The value comes from looking on a schedule, before a crash forces it. A short weekly pass is enough for most sites. Scan for a rising count of 500s, the same 404 repeating, and any query that crosses a second or two. Set an alert for server errors so a spike reaches you before a customer does. Keep the WordPress debug log off except while you are chasing a specific bug. None of this requires a specialist. It requires opening a file that is already there and knowing what the numbers mean.<\/p>\n\n\n\n

The Cost of Not Looking<\/p>\n\n\n\n

The data in a log does not help until someone reads it. A site can run for months with a slow query draining conversions or a broken link losing search traffic, and nothing announces it, because the failures are quiet. They stay in the log, counted and timestamped, until someone looks. A dramatic outage is the rare case, and even then the cost of enterprise downtime can pass $300,000 an hour for a large firm. The everyday damage is quieter, a steady loss from problems that were visible in the log for weeks. Whatever the size of the loss, the cause appeared in the record before anyone noticed the symptom.<\/p>\n\n\n\n

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