Logit.io
Platform

Kibana As A Service from Logit.io

Discover how Kibana as a service can make reporting across your organisation easier and more efficient with Logit.io.

observability stack
Ingest
Correlate
Visualize
Act
Logs
Logstash · OpenSearch
12.4k/s
Metrics
Prometheus · Grafana
10k series
APM
OTLP · traces
p95 84ms
--:--:-- 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
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The Logit.io Kibana as a Service platform eliminates the need for your engineers to build & maintain a self-hosted Elastic Stack. The Logit.io platform allows you to get started using Kibana within minutes of registering after creating your first Stack.

Improve your time to market and revolutionize your reporting capabilities with completely managed Kibana built on hosted ELK with the Logit.io platform.

Our platform offers comprehensive reporting capabilities that empower businesses to derive actionable insights from their data effortlessly. With Reporting, you can create customized dashboards, schedule automated reports, and export data in various formats for seamless sharing and collaboration.

It is a common occurrence that users of other ELK-backed solutions don't know how much they are going to be billed each month due to added fees and confusing pricing calculators. Logit.io aims to be the difference as one of the few log management platforms that operates with transparency as a priority.

Logit.io users aren't faced with hidden charges as part of their billing and any additional services (such as cold storage and archiving) have their own pricing clearly communicated prior to their implementation.

Our platform is not only built with transparency in mind as we also support open data transference for users who wish to export their logs to complimentary third-party services. As a result of this, we do not levy data egress fees unlike many other SaaS providers, nor do our users have to deal with the difficulties associated with vendor lock-in.

What is Kibana?

Kibana is an open-source user interface for data visualisation, exploration and detailed reporting. Kibana forms a key part of both the ELK & Elastic Stack alongside Elasticsearch and commonly used in association with Logstash.

The most common use case for Kibana is log analysis as it can easily use unstructured and semi-structured log files created by a vast array of applications, services, and servers to build interactive reporting dashboards.

Some other often underutilised use cases for Kibana include its data visualisation capabilities for security & compliance auditing, sales and marketing, cloud monitoring and APM .

Kibana forms the powerful data visualisation arm of the ELK stack (which also contains Logstash, Elasticsearch & Beats).

While ELK and the Elastic Stack are popular open-source tools for log management, business intelligence & cloud monitoring. When it comes to maintaining staging, hosting, and upgrading these tools it quickly becomes increasingly difficult when additional services are added to your business's infrastructure.

This is where the Logit.io platform can assist in providing ready-to-launch scalable Kibana as a service, saving your engineers time and money otherwise spent on training and maintenance, instead of deploying code, big data analysis and error resolution.

pipeline
Ingest
Parse
Index
Query
+streams normalized · schema applied
output ready for search, alerts, and dashboards

Why use Kibana As A Service?

Despite the many brilliant data visualisation capabilities of Kibana, often users find that their initial on-premise setup becomes time-consuming and costly to maintain when data inputs grow.

By using our comprehensive logging platform (which includes Kibana as a service as standard), you can eliminate the need to conduct extensive Elastic Stack training, upgrading & maintaining your log management tool affordably.

Logit.io's robust hosted Logstash pipelines pipelines mean that you can enrich your previously unstructured logs with additional fields for structured processing within Elasticsearch and Kibana.

In comparison to logging platforms that use standard SSDs to power their infrastructure, Logit.io returns results up to 10x faster for queries made through Elasticsearch & Kibana due to our NVMe-backed infrastructure. NVME has numerous successful use cases for real-time big data analysis.

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

Dashboards For Reporting

Transform your unstructured log data into dynamically updating visualisations that can be shared with key stakeholders with hosted Kibana from Logit.io.

Easily share insights and improve cross-team collaboration and company-wide visibility of essential operations with Kibana as a Service. By leveraging our Kibana as a Service solution, you can empower teams to access and interact with data-driven insights seamlessly, fostering collaboration and driving informed decision-making across your organization.

shell
$
logit trace export --protocol=otlp --backend=jaeger
→ distributed spans indexed · p99=84ms

Ensure Compliance and Security Across Your Operations

Make sure your business is GDPR, ISO, or HIPPA compliant by bringing together all of your log data in a single centralised logging platform.

Correlate application and security datasets generated by any data source across your organisation including network, servers, containerisation, on-prem infrastructure and more.

Our platform offers robust access controls, allowing you to define granular permissions and access levels for users accessing Kibana. Role-based access controls (RBAC) enable you to restrict access to sensitive data and features, ensuring that only authorized users can view or modify Kibana dashboards and visualizations.

Monitor and track risks from within the same platform as the metrics and logs that you already collect with Logit.io

metrics
latency
throughput
errors
p95 latency 84ms · ingest 12.4k/s · error rate 0.08%

OpenSearch Security

As the Logit.io platform is built on the open-source versions of Elasticsearch and Kibana under OpenSearch we can offer both Kibana read-only & Dashboard read only roles to our users to improve their internal access controls and cross-team collaboration.

The implementation of OpenSearch also brings additional fine-grained access control for Kibana extending to index level, document-level and field-level restrictions that can be configured directly from the security settings tab.

Leading OpenSearch Features:

  • Read-only/Read-write users in Kibana
  • Additional Built In Role Options
  • Document Level Restrictions
  • Index Level Restrictions
  • Field Level Restrictions
  • Multi-tenancy Kibana
  • Kibana Notebooks
  • Still unsure about where to get started with Kibana? Then why not see if you are eligible for a Kibana demo?

    Find out more about Managed OpenSearch
    alerts
    1
    Detect
    2
    Enrich
    3
    Route
    4
    Notify
    ! anomaly detected · checkout p95 > 500ms
    → context attached · service map · recent deploy
    → routed to #incidents · ack in 12s

    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.

    Youredi

    Mats von Weissenberg

    CTO @ Youredi

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