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Live Tail & Real-Time Log Monitoring

Live Tail and Hosted Logtrail on Logit.io — watch logs in real time, spot issues faster, and troubleshoot without leaving the dashboard.

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log management

FilebeatLogstashFluentdSyslogWinlogbeat

Ship

Parse

Index

Alert

Live log stream

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

+ 12.4k events/s ingested

! 3 severity alerts fired

+ OpenSearch query 37ms

Trusted by engineering teams worldwide

Real-Time Log Monitoring with Live Tail

Live Tail provides real-time visibility into your log data as it's being generated, allowing you to monitor system activity, troubleshoot issues, and detect anomalies instantly. With Logit.io's hosted Logtrail integration, you can stream logs from all your infrastructure components in one unified view.

This powerful feature enables DevOps teams, system administrators, and security professionals to respond to issues immediately, before they impact your users or business operations.

The Leading Kibana Live Tailer

Logtrail was introduced in 2016 for the purpose of tailing log files to provide the user with improved capabilities to view, analyse and search log data all within Kibana in a single centralised logging platform. It is a far more powerful version of the familiar tail command (tail -f) in Linux.

Logtrail can be used to tail for errors after deployment as a best practise that makes reproducing errors for debugging far less of a hassle when monitoring new code performance in production environments. Developers and IT leaders using LogTrail find it is a highly user-friendly way of presenting log events in one aggregated view. Live tailing updates every ten seconds automatically, making it ideal for near real-time log file reading.

FilebeatLogstashFluentdSyslogWinlogbeat

Ship

Parse

Index

Alert

Live log stream

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

+ 12.4k events/s ingested

! 3 severity alerts fired

+ OpenSearch query 37ms

Identify Issues Across Security System Applications

Analyse live logs in a single unified platform with Logit.io's log management and cloud monitoring platform and improve error reporting across your organisation. If you're concerned about the activity undertaken by IPs accessing your web server, log tailing allows you to identify these problematic users fast and track their sessions.

Our Live Tailing feature even allows you to apply filters automatically in the event that you're looking for security instances meeting specific criteria fast. Easily filter by programs, hosts and view highlighted search matches and add custom colour coding of log messages based on their field value & log level.

shell

logit metrics scrape --target=k8s --interval=30s

→ Prometheus · Grafana dashboards synced

Support For Elasticsearch Index Patterns Included

LogTrail allows you to use numerous Elasticsearch index patterns with a variety of different schemas all of which are fully supported by the platform. The functionality of these can be extended through the addition of custom fields to your log event.

FilebeatLogstashFluentdSyslogWinlogbeat

Ship

Parse

Index

Alert

Live log stream

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

+ 12.4k events/s ingested

! 3 severity alerts fired

+ OpenSearch query 37ms

Search By Time, Contents and Origin

If you know the date or time on which a specific issue occurred, the Logtrail plugin for Kibana can be used to seek results from the exact time and date, allowing you to isolate instances based on when you've known them to occur.

The command default_time_range_in_days, can be used to limit a search to return only events that occurred within a specified time range.

alerts

Detect

Enrich

Route

Notify

! anomaly detected · checkout p95 > 500ms

→ context attached · service map · recent deploy

→ routed to #incidents · ack in 12s

Installing and Configuring Logtrail

To install & launch Logtail on your current version of Kibana requires knowing the exact version of the latest release of Logtrail as well as manually updating your version of ELK with each new release.

Luckily with our hosted ELK solution you don't don't need to worry about configuring this in-house as our engineers have already seamlessly integrated Logtrail ready to launch as soon as you've hosted your first ELK stack on our platform.

FilebeatLogstashFluentdSyslogWinlogbeat

Ship

Parse

Index

Alert

Live log stream

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

+ 12.4k events/s ingested

! 3 severity alerts fired

+ OpenSearch query 37ms

Hosted ELK Built For Log Tailing

The Logit.io SaaS platform saves your teams from spending vital time maintaining ELK infrastructure and gets you closer to making data-driven decisions in minutes once your Stacks are rapidly provisioned. Experience the power of Logit.io's SaaS platform through an OpenSearch demo , enabling you to see how you can swiftly shift from infrastructure maintenance to data-driven decision-making within minutes of provisioning your Stacks.

All Logit.io Stacks benefit from featuring highly available Logstash, Elasticsearch and Kibana, alongside all of the integrations from Elastic's open-source family of Beats. Discover more about the Logit.io ELK stacks

pipeline

Ingest

Parse

Index

Query

+streams normalized · schema applied

↳output ready for search, alerts, and dashboards

Real-time Alerting and Notifications

As well as real-time analysis through Logtrail you can also configure powerful alerts directly from your Logit.io dashboard using Elasticsearch queries. These alerts can be set on a variety of pre-configured conditions for additional security reporting, with the option of free text configurations that you can tailor to bespoke specifications.

Our platform's rich reporting features mean errors and incidents can be easily shared with the rest of your team with our integrations for Jira and Slack.

Discover more about alerting

FilebeatLogstashFluentdSyslogWinlogbeat

Ship

Parse

Index

Alert

Live log stream

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

+ 12.4k events/s ingested

! 3 severity alerts fired

+ OpenSearch query 37ms

Logit.io's Commitment To Security

The Logit.io platform with integrated log tailing operates in compliance with GDPR, HIPAA and SOC2. Additionally we are also a PCI compliant service provider. We guarantee to uphold the security of your data as this is the number one consideration in everything we do. Logit.io is ISO/IEC 27001:2022 certified and is independently audited.

Read all security standards

shell

logit metrics scrape --target=k8s --interval=30s

→ Prometheus · Grafana dashboards synced

Benefits of Real-Time Log Monitoring

Real-time log monitoring with Live Tail offers numerous advantages:

Immediate visibility into system behavior
Faster troubleshooting and reduced MTTR (Mean Time To Resolution)
Early detection of security incidents
Ability to track user activity in real-time
Simplified debugging during deployments
Proactive issue identification before users are affected

With Logit.io's Live Tail feature, you can filter logs by source, severity, or custom patterns to focus on what matters most to your team.

FilebeatLogstashFluentdSyslogWinlogbeat

Ship

Parse

Index

Alert

Live log stream

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"

--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms

--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"

--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421

--:--:-- INFO log.shipped bytes=184032 index=logs-prod

--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit

--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on

--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit

--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started

--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy

--:--:-- WARN queue.backpressure topic=ingest depth=1200

--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512

--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*

--:--:-- INFO retention.policy applied hot=14d warm=30d

--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12

--:--:-- INFO ha.failover check region=eu-west status=ready

+ 12.4k events/s ingested

! 3 severity alerts fired

+ OpenSearch query 37ms

Companies Feel The Difference When They Use Logit.io

“Internally, Logit.io has made it easier for us to provide better support for our customers, since finding individual messages based on various data in the payload has become easier.”
“At Youredi, pretty much everyone from our technical support teams through to our professional services teams uses Logit.io.”

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