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Lightning Fast Log Viewer From Logit.io

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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

Every day, network devices and apps generate millions of lines of log data that require centralising for further analysis and management.

In order to streamline this process and alleviate the burden of sifting through millions of lines of data, it's now considered best practice to utilize a log viewer as part of a wider centralised logging platform.

Here at Logit.io, we understand that being able to pinpoint critical log messages is all that may stand between your technicians and catastrophic downtime affecting your infrastructure.

Logit.io takes the best open source logging software and adds what our users need to ensure high availability and security across all of their operations.

Free log viewers often have limitations that are encountered when their use is scaled up for ensuring wider IT infrastructure or event monitoring reliability.

A free solution will likely also not have the built-in compliance and protection that Logit.io assures its users with, including HIPAA, GDPR, PCI, ISO/IEC 27001 & SOC2 compliance.

What is a log viewer?

A log viewer is a tool that streamlines the process of reading log files from servers, endpoints, applications, programming languages and cloud computing platforms.

Log viewers provide the first essential step in enabling individuals and teams to parse, transform, centralise, and filter huge log files.

Log data is output by the vast majority of software and tools powering your organisation's infrastructure.

Beyond simply viewing your logs in Logit.io, our platform also provides a solution for complete centralisation, analysis, and management of logs.

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

Log viewing made easy with Logit.io

Logit.io's built in log file reader and viewer forms just a small part of our wider centralised log management platform.

By offering a centralised platform, Logit.io ensures that undertaking data analysis and error resolution on critical infrastructure is more efficient, less time consuming and far more affordable to scale alongside your operations as they grow in both size and complexity. We use Filebeat to make the process of sending your logs seamless, no matter your preferred data source.

Our platform uses lightning fast NVMe SSDs, that make viewing real-time log events and querying your data between 5 to 10x faster than comparable hardware used by other log management providers.

This means you'll get a near immediate response to your queries, allowing you to make data driven decisions faster in order to protect your infrastructure and future proof your operations.

Need a more specific log file viewer then why not read more about our Apache log viewer?

shell

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

→ Prometheus · Grafana dashboards synced

Relevant Search and Filter

Search and filter logs fast with our powerful query language. Logit.io uses hosted Logstash for automatic parsing so you can easily view a wide range of log file formats including Node.js, Apache, JSON, HAProxy, Ubuntu and Solaris.

Hosted Elasticsearch makes light work of returning relevant search results and allows you to also use field names for intelligent search.

Logit.io's platform also provides support for near matches, fuzzy searches, wildcards and regular expressions, utilising the best of Elasticsearch's functionality as an extremely powerful search engine.

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

Visualise & Report

Logit.io's Hosted Kibana makes it easy to transform your centralised logs into dashboards, reports and impressive data visualisations.

These interactive Kibana dashboards can be shared and are ideal for cross team collaboration as well as providing a command-center view of all of the most important events affecting your technology stack.

Having access to this level of reporting is a must for meeting compliance regulations, identifying market trends, observing user behaviour and presenting impressive and dynamically updating reports to key stakeholders.

Our platform also offers scheduled reporting which allows users to generate PDF, PNG and CSV reports due to our Hosted OpenSearch Additional reporting features available include the ability to set custom headers and footers for further personalisation.

Logit.io's Kibana based log viewer is highly extensible and integrates with the services you already use. View, alert and monitor your data with our centralised reporting dashboard regardless of the format or storage method of your data.

alerts

Detect

Enrich

Route

Notify

! anomaly detected · checkout p95 > 500ms

→ context attached · service map · recent deploy

→ routed to #incidents · ack in 12s

Extensive configuration guides and integrations

We understand that our users need a wide variety of access, event and error logs from their favourite tools, services and software.

As part of our managed service, our log viewer can be easily integrated with the platforms you use daily including but not limited to; Google Cloud (GCP), Microsoft Azure and Amazon Web Services (AWS), as well as logs generated by servers, operating systems and programming languages.

The best log viewers can be used to view, process and transform a near-universal variety of logs including but not limited to:

SQL

IIS

Java

Linux

Cisco

Azure

Syslog

Apache

Windows

View the rest of our source integrations

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

Live Tail For Real Time Log Viewing

Our live tailing feature allows you to view log events as they occur in a single real time stream for enhanced troubleshooting.

This feature also includes colour highlighting for fast pattern identification so that you don't miss key messages in error, status code or server logs.

Live tailing can be launched through hosted Kibana, simplifying the old process where users had to open a terminal window on their device for manual tailing of log files.

Find out more about live tailing

pipeline

Ingest

Parse

Index

Query

+streams normalized · schema applied

↳output ready for search, alerts, and dashboards

Log Viewing and Beyond

Viewing logs is just the start of your data analysis and monitoring journey. When it comes to picking the right log management service, you'll need a platform that can scale with your operations for future digital transformation.

Whether that involves migrating to the cloud, infrastructure monitoring or container monitoring and wider security monitoring, Logit.io provides all of the tools to take you from simply viewing logs to using them to drive change and modernise your business practises and IT infrastructure.

Go beyond viewing your logs and start using your data to create detailed visualisations, report across key areas of importance to your business and migrate towards full operational observability with Logit.io.

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

Benefits of Logit.io's log viewer tool:

Visualise data with graphs, charts & more

No command line required

Web-based log viewer

Ensure compliance

Real-time analysis

Improved visibility

SQL workbench

Log monitoring

Open-source

Tail logs

Alerting

shell

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

→ Prometheus · Grafana dashboards synced

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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