Full Infrastructure and Application
Observability in One Platform
Kubernetes 360 and Service Overview automatically highlight telemetry data that contain
critical app and infrastructure performance insights. Debug issues quickly with clear
investigation paths and data correlation to drill into root causes.
Search your logs with fast queries, monitoring dashboards, and AI-assisted search.
Dramatically reduce costs for high-volume logging by rerouting data to Cold Tier,
which reduces logging costs by 75%.
With minimal configuration, Kubernetes 360 provides a complete overview of infrastructure
health and performance, while surfacing the critical insights. Or, build customizable alerts
and monitoring dashboards for any infrastructure component.
Monitor an overview of application performance trends with Service Overview. Dive into
details fast with Distributed Tracing, which makes it easy to visualize and isolate latency within
complex application requests in microservices architectures.
An observability platform that’s effortless to deploy, scale, and manage
Simply create an account and integrate with your stack – Logz.io’s cloud-native SaaS platform handles the entire data pipeline and seamlessly scales up and down with your data volumes. Open 360’s high availability architecture can withstand any load and any burst.
Targeted AI that accelerates MTTR
Logz.io Observability IQ™ delivers advanced AI that augments the capabilities of human users, enhancing their overall effectiveness, and help teams focus on what’s important — from the IQ Assistant querying interface to Anomaly Detection for App 360, and beyond.
Built on open source standards and technologies
When engineering teams embrace open source observability technologies for instrumentation, they can prevent painful transitions across observability back-ends.
Open 360 fully supports open source technologies such as Prometheus, OpenTelemetry, Fluetnd, and others, while building on top of popular open source tools such as OpenSearch.
Reduce costs by 30-50%
with unique data optimization
Easily remove useless data
Data Optimization Hub inventories all incoming data – making it easy to separate the signal from the noise within your observability platform. Create filters to remove unneeded data or to route data to low-cost cold storage. Toggle filters to maintain complete control of data flow and costs.
Dramatically reduce data storage
Store infrequently-accessed data in Logz.io Cold Tier, which dramatically reduces costs for high-volume logging and long-term storage. Cold Tier provides slightly slower query speeds than Logz.io’s hot storage, at 25% of the cost.
Convert logs to metrics
Any log data being visualized on dashboards can be converted to metrics – dramatically reducing log indexing costs. For example, rather than indexing HTTP 200 logs from a specific service, you can convert them into a time-series metric – which is $.0004/month with Logz.io.
Monitor any stack with 300+ integrations
- Unified data collection: Collect your logs, metrics, and traces with Telemetry Collector – a single agent for all your data.
- Open source data collection: Leverage technologies you already have in place, such as Fluentd, Prometheus, and OpenTelemetry.
- One-click instrumentation: Open 360’s Easy Connect automatically discovers your services and instruments them with OpenTelemetry.
Logz.io Observability Platform FAQs
Observability helps engineers understand what’s happening in their environment and why through real-time telemetry data analytics – observability platforms such as Logz.io make real-time telemetry analytics possible.
Observability platforms collect and store telemetry data – including logs, metrics, and traces, which are often described as the three pillars of observability – and make this data available for analysis. Engineers use this data to monitor and diagnose system behavior, so they can deliver more performant and reliable services.
Observability-as-a-service is a way of delivering real-time telemetry data analytics needed for observability. Unlike self-hosted observability solutions, observability-as-a-service solutions such as Logz.io manage the entire data infrastructure for the user.
Since observability data collection, storage, and processing can be a complex and time-consuming task, observability-as-a-service solutions can offload considerable time and effort from engineers who may prefer to focus their time elsewhere.
Cloud-native observability can ensure scalability, reliability, and performance needed for real-time telemetry data collection and analysis.
Observability systems must ingest and store large influxes of telemetry over short time frames. Cloud-native architectures like Logz.io’s help ensure the observability system can rapidly adjust its cloud resources and data pipelines in response to fluctuating load. This can prevent performance issues, slow queries, and unavailable data.
Open 360 is Logz.io’s observability platform – which unifies log, metric, and trace analytics.
We call it Open 360 because it provides a 360-degree view of your production health and performance, and it’s all built around the leading open source observability technologies – including OpenSearch, OpenTelemetry, Prometheus, and Jaeger. Logz.io enhances these technologies by making them easier to use, reducing total cost of ownership of observability, and reducing MTTR.
Open 360 is priced by the volume of logs, metrics, and traces your Logz.io account ingests. See our pricing page for our Log Management, Infrastructure Monitoring, and Distributed Tracing costs – together, these products make up the Open 360 platform.
The surest path to observability cost reduction is through data optimization, which reduces the total computing footprint of your telemetry data. You can filter out unneeded data, move infrequently-accessed data to cold storage, and convert logs to metrics. See our blog on tackling observability costs to learn more about data optimization.
Open source observability platforms unify open source logging, metrics monitoring, and tracing observability tools in one centralized view. They can provide the familiarity and interoperability of open source, and the simplicity of SaaS.
Plus, by unifying log, metric, and trace data together, open source observability platforms can help users correlate across the data to investigate the root cause of issues faster.