Commissioned Research
Top 10 Best Php Monitoring Software of 2026

GITNUXSOFTWARE REVIEW

Cybersecurity & Information Security

Top 10 Best Php Monitoring Software of 2026

Compare php monitoring software options with a roundup of key features and tradeoffs for teams managing PHP performance and errors.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

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Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

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PHP monitoring matters because production incidents often start as slow queries, framework exceptions, or degraded throughput before they surface in user reports. This comparison helps operators and technical evaluators weigh PHP-specific instrumentation like agents and SDKs, error and performance data models, and integration depth so the monitoring stack matches operational workflows without adding unnecessary complexity.

New Relic is the best pick for PHP teams that need trace-level root cause plus release regression signals because release health links deployments to APM metrics so you can spot and attribute performance shifts quickly, whereas Bugsnag fits release-aware error triage since Stability Score ranks releases by error impact with context.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

New Relic

Release health links deployments to APM metrics so regressions can be detected from the release timeline.

Best for: Fits when PHP teams need trace-level root cause plus release regression signals across services.

2

Bugsnag

Editor pick

Bugsnag’s Stability Score ranks release quality using error rates, affected sessions, and release-stage context.

Best for: Fits when PHP teams need release-aware error triage tied to affected users and deployment workflows.

3

Scout APM

Editor pick

N+1 query detection groups repeated database calls inside requests and points developers toward the offending application code.

Best for: Fits when PHP teams need focused request diagnostics across web applications and background jobs.

Comparison Table

1
New RelicBest overall
enterprise
9.3/10
Overall
2
8.7/10
Overall
3
8.6/10
Overall
4
8.3/10
Overall
5
API-first
8.1/10
Overall
6
API-first
7.7/10
Overall
7
7.4/10
Overall
8
enterprise
7.2/10
Overall
9
enterprise
6.8/10
Overall
10
6.7/10
Overall
#1

New Relic

enterprise

Full-stack observability platform with a dedicated PHP agent for application performance monitoring.

9.3/10
Overall
Features9.3/10
Ease of Use9.3/10
Value9.3/10
Standout feature

Release health links deployments to APM metrics so regressions can be detected from the release timeline.

New Relic ties PHP application monitoring to end-to-end observability with distributed tracing, transaction-level breakdowns, and release health for each deployment. The workflow centers on New Relic APM signals like request latency, throughput, error rate, and exceptions with deep drill-down into spans and downstream services.

It also integrates log ingestion and event-based analytics so PHP errors and slow requests can be correlated with infrastructure and external dependencies. Administration tools like role-based access control and audit logging support multi-team governance around dashboards, alert policies, and automation.

Pros
  • +Transaction traces connect PHP request timing to database and external service spans
  • +Release health ties deployment events to error rate and latency regressions
  • +Automation and extensibility via APIs support provisioning and workflow integration
  • +RBAC and audit logs cover team separation across alerts and dashboards
Cons
  • –Full PHP-FPM coverage requires careful instrumentation and metric mapping
  • –Correlating logs to traces depends on consistent context propagation
Use scenarios
  • Web operations and digital product teams

    Correlate user experience with PHP traces

    Broader UX visibility

  • Infrastructure and DevOps teams

    Compare app latency with host metrics

    Faster bottleneck separation

Show 2 more scenarios
  • Release engineers and engineering managers

    Validate deployments against runtime behavior

    Evidence of change impact

    Compare deployment activity with PHP transaction outcomes and dependency behavior to confirm regressions or safe releases.

  • Backend engineers and distributed-systems teams

    Trace failures across microservices

    Faster root cause

    Follow transactions across services to locate latency sources and downstream dependencies tied to PHP errors.

Best for: Fits when PHP teams need trace-level root cause plus release regression signals across services.

#2

Bugsnag

SMB

Error monitoring and crash reporting platform with an official PHP library.

8.7/10
Overall
Features8.7/10
Ease of Use8.7/10
Value8.7/10
Standout feature

Bugsnag’s Stability Score ranks release quality using error rates, affected sessions, and release-stage context.

Bugsnag fits teams that need application errors connected to specific releases and user impact. The PHP notifier reports handled and unhandled exceptions, adds custom metadata, and groups recurring failures for triage. Release health views connect error events to deployments and affected users.

The tradeoff is narrower PHP coverage than a full infrastructure monitoring suite. Bugsnag does not replace host telemetry or PHP-FPM pool metrics. Laravel and Symfony teams shipping frequent releases can use its Stability Score to prioritize regressions before wider deployment.

Pros
  • +Stability Score connects error impact to release-stage decisions.
  • +PHP notifier captures stack traces, breadcrumbs, metadata, and user context.
  • +Notify API and webhooks support incident-routing automation.
Cons
  • –PHP coverage centers on errors rather than host and PHP-FPM telemetry.
  • –Advanced workflow control requires careful project and alert configuration.
  • –Deep infrastructure metrics require another monitoring product.
Use scenarios
  • Laravel engineering teams

    Prioritize regressions after deployments

    Faster post-release triage

  • Symfony application owners

    Route production failures automatically

    Consistent incident routing

Show 1 more scenario
  • Digital commerce teams

    Track checkout failure impact

    Clearer customer impact

    User context and request metadata show which customers encounter checkout-related PHP errors.

Best for: Fits when PHP teams need release-aware error triage tied to affected users and deployment workflows.

#3

Scout APM

SMB

Application performance monitoring with a PHP agent focused on query analysis and slow-route detection.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

N+1 query detection groups repeated database calls inside requests and points developers toward the offending application code.

Scout APM groups performance data by web requests and background jobs, then exposes call timing, query counts, and allocation changes. The PHP agent supports Laravel, Symfony, and other PHP applications through framework-aware instrumentation. N+1 detection identifies repeated database queries within individual requests and gives developers a concrete path from symptom to code.

Coverage is narrower than suites that combine logs, infrastructure metrics, synthetic checks, and distributed tracing. That scope suits teams debugging a PHP monolith or API where request-level diagnosis matters more than cross-stack observability. Deploy markers and alert integrations help connect regressions to releases, while organization-wide governance requires external systems.

Pros
  • +Memory-bloat monitoring highlights requests with growing retained allocations.
  • +Request views connect database timing, external calls, and application code.
  • +Framework instrumentation supports Laravel and Symfony applications.
Cons
  • –Limited infrastructure and log-analysis depth versus broader observability suites.
  • –No native synthetic browser monitoring for front-end user journeys.
  • –Cross-service diagnosis depends on instrumentation across participating applications.
Use scenarios
  • PHP SaaS teams

    Diagnose slow API requests

    Faster endpoint response times

  • Laravel application developers

    Find repeated database queries

    Fewer redundant queries

Show 1 more scenario
  • Release engineering teams

    Compare performance after deploys

    Faster regression isolation

    Deploy markers correlate response regressions with specific application releases.

Best for: Fits when PHP teams need focused request diagnostics across web applications and background jobs.

#4

Raygun

SMB

Error tracking, crash reporting, and performance monitoring with a dedicated PHP SDK.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

Release-aware exception intelligence that links grouped crashes to specific deployments for regression-focused triage.

Raygun centers on exception tracking and application error intelligence for PHP apps, with release context attached to crashes and regressions. It captures stack traces, request context, and user breadcrumbs so debugging moves from raw failures to reproducible signals.

Pros
  • +Exception grouping turns recurring PHP crashes into one triage queue
  • +Release-aware error tracking ties regressions to deployment changes
  • +Stack trace enrichment adds request and user context for faster debugging
  • +Webhook and API hooks support automated routing and alert fan-out
Cons
  • –Transaction and tracing depth is limited compared with full APM suites
  • –Requires disciplined event hygiene to keep high-volume PHP errors actionable
Use scenarios
  • PHP developers and application teams

    Group exceptions with request context

    Focused PHP error triage

  • Web engineering and production teams

    Understand user impact from performance issues

    User-tied performance findings

Show 2 more scenarios
  • Release and engineering teams

    Detect deployment-linked error patterns

    Earlier regression identification

    Review error groups by release and environment to find failures that start after changes.

  • Mobile and cross-platform development teams

    Compare crashes across app releases

    Clear crash pattern visibility

    Use recurring crash visibility across releases to see which updates correlate with new failure patterns.

Best for: Fits when PHP teams need precise exception triage with release context and automated alert routing.

#5

GlitchTip

API-first

Open-source error tracking platform compatible with Sentry SDKs including PHP.

8.1/10
Overall
Features8.1/10
Ease of Use8.1/10
Value8.1/10
Standout feature

PHP-focused exception ingestion with environment-aware context and API-driven automation for triage workflows.

GlitchTip sends PHP exception and error signals from application runtimes into a central view for triage, grouping, and alerting. It also captures performance context around failures so teams can correlate errors with request timing and environment details.

Pros
  • +PHP error grouping reduces duplicate noise during triage
  • +API supports automation for issue routing and incident workflows
  • +Failure context includes environment details useful for reproduction
  • +Webhook delivery fits event-driven alert handling
Cons
  • –Distributed tracing coverage depends on what the PHP app emits
  • –Deep APM metrics like queue depth are not the primary focus
  • –Alert tuning needs care to avoid repeated exception spam
  • –Multi-service deployments require consistent release and environment tagging
Use scenarios
  • PHP development teams

    Investigate grouped PHP exceptions

    More focused debugging

  • Self-hosted operations teams

    Run error monitoring under control

    Greater control over errors

Show 2 more scenarios
  • Release and reliability teams

    Correlate new errors with releases

    Faster regression correlation

    Compare error groups before and after deployments to pinpoint which releases introduced regressions.

  • Python development teams

    Group tracebacks as issues

    Stable error record

    Track grouped Python tracebacks with release-aware event history for recurring backend failures.

Best for: Fits when PHP teams need exception-driven monitoring with automation hooks for triage and alert routing.

#6

Highlight.io

API-first

Open-source observability platform offering error monitoring and session replay with PHP support.

7.7/10
Overall
Features7.7/10
Ease of Use7.7/10
Value7.7/10
Standout feature

Linked session replay connects a browser session to frontend errors, backend logs, and request context.

PHP runtime monitoring can combine exception capture, request metadata, and application logs with browser session evidence. The PHP integration supports Composer-based instrumentation, while real user monitoring adds the user actions that preceded an error. A shared event model reduces the need to correlate separate monitoring consoles manually.

Pros
  • +Session replay links browser activity with related backend errors and logs.
  • +Composer-based PHP instrumentation supports application-level error collection.
  • +Open-source components support self-hosting and internal customization.
  • +Source maps improve stack traces for compiled frontend assets.
Cons
  • –PHP framework coverage requires more manual instrumentation than JavaScript integrations.
  • –Session replay increases privacy review requirements for sensitive screens.
  • –Self-hosted deployments add operational work for storage and upgrades.
  • –Infrastructure metric coverage is less extensive than larger APM suites.
Use scenarios
  • PHP application teams

    Production exception triage

    Shorter reproduction time

  • SaaS support teams

    Customer-reported UI failures

    Clearer escalation evidence

Show 2 more scenarios
  • Platform engineering teams

    Self-hosted observability

    Internal data control

    Teams run Highlight components internally and adapt collection workflows to organizational controls.

  • Frontend-backend teams

    Cross-layer debugging

    Faster fault isolation

    Linked sessions and server telemetry show where a user action fails across application boundaries.

Best for: Fits when teams need PHP error investigation tied to browser sessions and backend request context.

#7

Airbrake

SMB

Error monitoring and performance tracking with PHP framework integrations including Laravel and Symfony.

7.4/10
Overall
Features7.4/10
Ease of Use7.4/10
Value7.4/10
Standout feature

Release tracking that maps errors to deployment events so regressions can be attributed to specific versions.

Airbrake monitors PHP applications by capturing exceptions, errors, and performance signals and then grouping them into actionable issues. It provides release tracking so deployments can be correlated with new crashes and regressions. Airbrake also supports integrations that send alerts and context into external systems for faster triage.

Pros
  • +Exception grouping reduces duplicate noise across similar stack traces
  • +Release tracking ties crash spikes to specific deployment versions
  • +API supports automations for issue search, creation, and webhook workflows
  • +Dashboards surface key service health signals for faster incident response
Cons
  • –Distributed tracing coverage for PHP request flows can be less complete than APM tools
  • –High event volumes require careful sampling and noise control to stay actionable
Use scenarios
  • Release engineering and software development teams

    Compare error spikes to versions

    Clear release linkage

  • Operations and development teams

    Route repeated exceptions into review

    Less manual monitoring

Show 2 more scenarios
  • Mobile development teams

    Examine crashes across deployed versions

    Improved crash visibility

    Use deployed version diagnostics to inspect recurring mobile crash patterns and regressions.

  • Python application developers

    Group runtime exceptions with context

    Consistent production monitoring

    Capture Python framework and runtime exceptions and keep grouped issues with backtraces and deployment context.

Best for: Fits when PHP teams need exception-centric monitoring with release correlation and workflow automations.

#8

Site24x7

enterprise

Full-stack monitoring with PHP application performance monitoring via APM Insight.

7.2/10
Overall
Features7.2/10
Ease of Use7.2/10
Value7.2/10
Standout feature

Synthetic monitoring plus request-level error visibility helps validate PHP release health before users hit failures.

Site24x7 targets PHP and general web stacks with server, application, and availability monitoring under one operational view. It combines synthetic checks, real user monitoring style visibility, and infrastructure telemetry such as CPU and memory for correlated troubleshooting.

Pros
  • +Synthetic and availability monitoring covers PHP endpoint regressions
  • +Correlates infrastructure metrics with app health signals
  • +Central alerting routes issues into notifications and dashboards
  • +Device grouping supports multi-environment operational structure
Cons
  • –Deep transaction tracing for PHP code paths is limited versus tracer-first vendors
  • –Data export and API automation coverage is narrower than monitoring leaders
  • –Alert tuning needs ongoing governance to avoid noise
  • –Complex distributed traces require extra configuration effort
Use scenarios
  • Webmasters, platform teams, and IT admins

    Prevent trust failures from SSL issues

    Earlier warnings for incidents

  • Systems administrators and IT operations teams

    Track host health with thresholds

    Consolidated host monitoring

Show 2 more scenarios
  • Network operations centers and infrastructure teams

    Monitor network reachability and latency

    Centralized network health view

    Track network device status, packet loss, and interface health to see service impact tied to network degradation.

  • Web operations and digital service teams

    Detect website availability regressions

    Earlier detection of outages

    Track reachability and user-facing performance signals like response time and page quality for early outage detection.

Best for: Fits when teams need endpoint and infrastructure monitoring for PHP apps with correlated alerting.

#9

Elastic APM

enterprise

Application performance monitoring with a dedicated PHP agent as part of the Elastic Stack.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Using the Elastic Observability UI and Elasticsearch indices together enables trace-to-log and trace-to-metric navigation with custom query layers.

Elastic APM turns application performance monitoring into an Elasticsearch-native workflow with distributed tracing, transaction analytics, and searchable error grouping.

Pros
  • +Trace and metric correlations map slow requests to dependencies
  • +OpenTelemetry ingestion reduces vendor lock-in during rollout
  • +Elastic dashboards support custom drilldowns with Elasticsearch queries
  • +Fleet-based configuration speeds consistent agent deployment
Cons
  • –High-volume traces can create storage and indexing pressure
  • –Multi-environment governance needs RBAC and naming conventions
  • –PHP agent setup requires careful alignment with framework routing
  • –Some advanced automations require Kibana and Elasticsearch configuration work
Use scenarios
  • Backend engineers

    Connect PHP latency to dependencies

    Dependency-linked latency root cause

  • Platform teams

    Roll out PHP instrumentation consistently

    Consistent telemetry coverage

Show 2 more scenarios
  • SRE and reliability teams

    Alert on trace and error correlations

    Faster regression detection

    Trigger alerts by combining slow-request signals with grouped exception events in the same traces.

  • Engineering managers

    Review transaction analytics by release

    Evidence-based release assessment

    Use trace and exception views to evaluate whether changes increased errors or reduced throughput.

Best for: Fits when teams want PHP traces and metrics tied to Elasticsearch search and query-driven investigations.

#10

Honeybadger

SMB

Error monitoring and uptime tracking with an official PHP library.

6.7/10
Overall
Features6.7/10
Ease of Use6.7/10
Value6.7/10
Standout feature

Release tracking that links new exceptions to deployments for quick regression triage.

Honeybadger focuses on PHP exception tracking and runtime error visibility with release-aware alerting. It captures stack traces, groups recurring issues, and links errors back to deployments so teams can see regressions quickly.

Pros
  • +High-signal exception grouping with readable stack traces
  • +Deployment and release links support regression-focused triage
  • +Straightforward integrations for alert routing and issue notifications
  • +Fast feedback loop between code changes and error impact
Cons
  • –Transaction and distributed tracing coverage is not the primary workflow
  • –Deep PHP-FPM and queue saturation metrics require additional sources
  • –Advanced governance like RBAC granularity can be limited for larger teams
  • –High-volume error capture can demand careful sampling discipline
Use scenarios
  • Backend developers and operations teams

    Monitor failed background jobs

    Earlier unattended job detection

  • Application development teams

    Compare failures across environments

    More consistent change validation

Show 2 more scenarios
  • Full-stack JavaScript and web teams

    Share client and server error view

    Shared application fault view

    Collect browser-facing and backend errors with source context to interpret failures across stacks.

  • Small web teams and on-call engineers

    Detect uptime incidents

    Notifications for outages

    Use availability checks to identify application outages and service interruptions needing investigation.

Best for: Fits when teams need dependable PHP exception tracking tied to releases and alerting, not full tracing and infrastructure metrics.

Conclusion

After evaluating 10 php monitoring software, New Relic stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
New Relic

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Php Monitoring Software

How do New Relic and Datadog handle distributed tracing for PHP request paths and downstream services?
New Relic provides PHP distributed tracing with span-level breakdowns and release health linked to each deployment timeline. Datadog ties PHP traces to correlated metrics and logs so slow endpoints and exceptions can be traced to downstream dependencies during the same request workflow.
When should teams choose Bugsnag over Raygun for exception monitoring tied to affected users?
Bugsnag groups exceptions with affected user context, breadcrumbs, and request metadata so triage can focus on impact. Raygun tracks exception intelligence with release-aware crashes and user breadcrumbs, but it prioritizes code-level failure reproduction signals over release-stage stability scoring.
What breaks if a PHP app relies on Highlight.io session replay linking but does not emit consistent request context?
Highlight.io links browser sessions to backend logs and request context, so missing correlation identifiers prevents cross-layer debugging. New Relic can still show request latency, throughput, and errors via traces, but without correlation data Highlight.io cannot map the user session to the exact backend execution path.
Which tool fits better for automating incident routing from PHP runtime errors using APIs and webhooks?
GlitchTip exposes API endpoints for automation so external systems can create tickets and route incidents based on grouped errors. Bugsnag also supports Notify APIs and webhooks for workflow integration, including routing based on affected user outcomes.
How do Scout APM and Honeybadger differ in what they surface first for PHP production diagnostics?
Scout APM starts with request-level views that connect slow endpoints to database calls, external services, and code paths, including N+1 query detection. Honeybadger starts with exception-centric issue pages with release-linked regression visibility, which reduces reliance on infrastructure telemetry to triage errors.
When is Elastic APM a better fit than New Relic for teams that want Elasticsearch-native investigation patterns for PHP?
Elastic APM uses an index-backed data model so trace and error grouping can be queried inside Elasticsearch-backed workflows. New Relic focuses on APM signals and drill-down across spans with release health, which works well for trace investigations but keeps the primary workflow centered on New Relic’s APM UI rather than Elasticsearch search.
Which approach helps more when PHP teams must govern access to monitoring views and alert policies across multiple teams?
New Relic includes role-based access control and audit logging that support governance for dashboards, alert policies, and automation. Elastic APM provides configuration and UI-driven access patterns, but governance controls are not as explicitly positioned for multi-team audit trails as in New Relic.
How should teams plan data migration when moving from one PHP monitoring stack to another for release and exception history continuity?
Bugsnag and Raygun both attach release context to crashes and regressions, so migration should preserve the mapping between deployment identifiers and error groups to avoid losing release-tracking continuity. Elastic APM depends on instrumentation and index data model continuity, so teams need to validate trace and error ingestion for the same application tags before switching dashboards and alert queries.
What tradeoff appears when PHP monitoring focuses on exception tracking instead of request tracing for performance questions?
Bugsnag and Honeybadger emphasize exception tracking and release correlation, so request latency and throughput diagnosis may require separate APM instrumentation. Scout APM focuses on request diagnostics like N+1 query detection and memory-bloat alerts, so it can answer performance root-cause questions without relying on exception grouping alone.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Php Monitoring Software

In php monitoring software, the real separation is how each option turns PHP runtime signals into usable workflows. We focus on criteria like data retention depth so you can confirm alerts, dashboards, and investigation views still make sense after days or weeks.

Log and metric retention depth

Why it matters

This label matters because php monitoring often needs historical context to connect spikes to deploys, config changes, or slowdowns. If retention is short, you lose the ability to prove what changed and when.

How to check

Ask for the retention defaults for logs and metrics, and whether backfill is supported after you enable the agent. In a demo, trigger an error, wait, then confirm the event still appears in the same investigation view after time passes.

PHP request and transaction visibility

Why it matters

This label matters because php runtime monitoring is only actionable when you can trace a request from entry to the failing step. Poor transaction visibility turns debugging into guessing.

How to check

Check whether the product shows request breakdown with error traces, latency segments, and the request path. In the demo, generate a controlled slow request and verify you can identify the specific segment that caused the delay.

Alert routing and threshold control

Why it matters

This label matters because alert thresholds and routing determine whether php monitoring reduces noise or floods teams. Fine control also helps when different services have different normal levels.

How to check

Look for per-alert threshold settings, mute windows, and routing to channels or webhooks. During the demo, lower a threshold temporarily for a test condition and confirm the alert fires only when expected.

Dashboard drill-down for incidents

Why it matters

This label matters because investigation speed depends on how dashboards connect to raw events. If charts don’t drill down to the exact request and error, teams waste time correlating manually.

How to check

Open a prebuilt view, then click through from a latency or error chart to the underlying request list. Validate that the drill-down includes timestamps, error details, and enough context to reproduce the timeline.

Deploy and release context capture

Why it matters

This label matters because php issues often start after a deploy or config change, and correlating events by release reduces false blame. Without release context, you can’t confidently narrow the cause.

How to check

Ask how the tool captures deployment events and whether you can annotate releases during rollouts. In the demo, perform a mock deploy and verify incident timelines show the release marker next to spikes and errors.

API and automation for provisioning

Why it matters

This label matters because php monitoring becomes maintainable when you can script configuration, dashboards, and alert rules. Without an API surface, teams fall back to manual setup that drifts over time.

How to check

Request the available API endpoints for provisioning or configuration export/import. In a demo, create an alert or dashboard via automation (or show a sample request/response) and confirm the change appears in the UI.

Red flags

  • Retention limits make past incidents untraceable
  • Drill-down stops at charts instead of the failing request
  • Alert thresholds lack routing or fine-grained control

Fit by situation

  • If you routinely debug after deploys, prioritize deploy and release context capture.
  • If your team investigates by request failure details, prioritize PHP request and transaction visibility.
  • If you need investigations to last across weeks, prioritize log and metric retention depth.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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