Solutions

Container Monitoring

Unlock the power of ELK & Grafana to monitor the performance of microservice containers with Logit.io.

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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

+ one managed platform

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Trusted by engineering teams worldwide

Microservices and containers have become a major part of IT infrastructure and ensuring they are performant and reliable is essential.

Logit.io provides a single platform built on the popular open-source logging solutions ELK and Grafana, giving observability across containers and infrastructure, enabling your engineers to investigate, identify trends, and diagnose issues faster.

It is a frequent occurrence that users of other container monitoring services don't know just how much they are going to be billed due to unexpected fees and complicated pricing calculators. Logit.io aims to be the difference as one of the few observability platforms that gives our users full transparency of their costs.

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

Logit.io also supports open data transference for users that 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 Container Monitoring?

Container monitoring tracks the activity of containerised applications that are built on microservice-architectures. A specific need for container monitoring arises as containers are typically more difficult to monitor in-house when compared to traditional application monitoring due to their dynamic and stateless nature.

As orchestrated environments become evermore complex a typical use case that you may require our platform for includes Docker container monitoring. Docker container monitoring takes into account all metrics related to the performance of Docker, its resource usage and overall health.

Monitoring your containers in real-time with a solution such as Logit.io is essential to ensure the best possible performance of your apps.

The best container monitoring tools continuously collect metrics and logs in order to track the health of your containers and microservices consistently.

Our platform can be used to monitor your full technology stack as outside of container monitoring we also provide log analysis, metrics as a service, and SIEM as a service.

pipeline

Ingest

Parse

Index

Query

+streams normalized · schema applied

↳output ready for search, alerts, and dashboards

Built-in Containerisation Integrations

Use our container source integrations to streamline the collection of your container and microservice datasets across your business. Send any volume of data in real-time, using existing open-source data integrations such as those included in the Elastic Beats family (including Filebeat, Auditbeat and Metricbeat).

We also provide complete support for Kubernetes, Red Hat and Docker across Linux, Windows, Mac and serverless applications.

View all of our source integrations

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

Container Dashboards and Visualisations

Kibana and Elasticsearch make light work of analysing and correlating Kubernetes and Docker container logs in real-time. Giving you complete flexibility from your container and microservice monitoring service.

Kibana dashboards can be used across a variety of use cases for generating custom visualisations and dashboards, from DevOps and InfoSec teams to business intelligence and IT professionals.

shell

logit trace export --protocol=otlp --backend=jaeger

→ distributed spans indexed · p99=84ms

Integrate with industry-leading tools and platforms

Reduce your business's Mean Time To Value (MTTV) and improve your performance by centralising and collecting metrics with our platform. We fully support integrations for leading tools including AWS, GCP and Microsoft Azure.

The Logit.io platform allows you to effectively conduct performance monitoring across Kubernetes orchestration and Docker container technology.

metrics

latency

throughput

errors

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

Benefits of Container Monitoring:

Improved resource management

Fine-tune your applications

Environment monitoring

Avoid risks in production

Proactive health checks

Resolve issues earlier

Configure alerts

Map data flows

Detect errors

alerts

Detect

Enrich

Route

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.”

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