Phplogger

Actionable log analysis with alerts and pivots to fix crashes and tune performance
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When an outage hits at 2 a.m., you need facts fast. Phplogger gives you a direct path from symptoms to answers. Start by streaming your app, server, and API events into a single workspace, tag them by service and environment, and save a few common filters (errors in prod, slow queries, failed logins). Use the live tail to watch events as they land, then pause and pivot to history the moment you see a spike. Group similar exceptions, expand a stack trace, and pin key fields so the clues you care about stay in view. You’ll move from noise to a short, actionable list in minutes.

For day-to-day debugging, set rules that flag unusual patterns: sudden 5xx increases, timeouts above a threshold, or a specific error signature. When a rule fires, jump straight into a prebuilt incident view: filter by endpoint, version, or customer; compare the last 15 minutes with a stable baseline; and build a quick pivot table to count events by status code, region, or host. Correlate with recent deployments to validate whether a release introduced the regression. Capture a permalink to the filtered timeline, add a note, and attach it to a ticket so engineering, QA, and support work from the same evidence. After shipping a fix, keep the view open and watch the error group flatten to confirm resolution.

Performance work is just as concrete. Create pivots on response time percentiles by route, tenant, or database node to surface hotspots. Layer time comparisons (this hour vs. last hour, this week vs. last week) to spot drift and seasonal load. Turn any pivot or chart into a recurring alert so you’re notified the moment latency crosses your budget. Track long-running queries, cache miss bursts, or queue backlogs. Summarize trends into a lightweight dashboard for product and ops, and export a weekly snapshot for stakeholders who need signals, not raw logs.

Operations and collaboration stay tight with targeted notifications to email, chat, or webhooks. Route critical errors to the on-call channel, send warnings to a wider team, and keep low-priority noise out of sight. During release windows, switch to a deployment view that watches a handful of KPIs; if rates drift, roll back decisively with evidence. QA can reproduce issues by filtering to a user session and following the breadcrumb of events. Security and compliance teams can search access patterns, generate a pivot of authentication outcomes, and retain links as an audit trail. Whether you’re a solo dev or a small team, Phplogger helps you move from guessing to shipping with clear, repeatable workflows.

Review Summary

Features

  • Live tail and searchable history
  • Rule-based alerts with thresholds and patterns
  • Pivot table builder for log fields
  • Trend charts and time comparisons
  • Error and crash grouping with stack traces
  • Advanced filtering, tagging, and saved views
  • Notifications via email, chat, and webhooks
  • Team dashboards and shareable links
  • Lightweight collectors and API access

How It’s Used

  • Triage and resolve production crashes quickly
  • Investigate bug reports with deep context and stack traces
  • Track performance regressions and slow endpoints
  • Monitor release impact and inform rollback decisions
  • Capacity planning using traffic and latency trends
  • Maintain audit trails from access and authentication logs
  • QA validation during staging and canary testing
  • Product analytics using event and usage logs
  • On-call workflows with instant, targeted alerting

Plans & Pricing

Phplogger

$28.02 per month

Log collection
Log analysis
Log alerting
Business metric collection
Business metric exploration
Support and help with setup
Sentry: error tracking : $99 per month for 500000 errors
Loggly: log collection : $99 per month for 30 GB, 3 users
Airbrake: app monitoring : $59 per month for 100000 errors
Timber: log search service : $68 per month for 16 GB

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