maintenance data collection and
high performance analytics at
Logz.io’s Open 360TM Platform unifies log, metric, and trace data into a single platform for full visibility into the health and performance of your entire stack – it’s the only observability platform built with the most popular open source monitoring tools in the world. The average Logz.io customer reduces costs by 32% with Data Optimization Hub, which makes it easy to filter out unneeded data on the fly.
Send telemetry data with a variety of integration methods:
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. Logz.io’s high availability architecture can withstand any load and any burst.
All log data is not equally valuable. So why pay the same for all of it? Use Logz.io Smart Tiering to store data in separate tiers depending on its purpose.
Open 360TM is Logz.io’s observability platform – which unifies log, metric, and trace analytics.
We call it Open 360TM 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 to make them easier to use, to reduce the total cost of ownership of observability, and to reduce MTTR.
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 like 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 that 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 need to be able to ingest and store large influxes of telemetry over short time frames. Cloud-native architectures like Logz.io’s can help ensure the observability system is able to rapidly adjust its cloud resources and data pipelines in response to fluctuating load. This can prevent performance issues, slow queries, and unavailable data.
Observability helps engineers understand what is happening in their environment, and why it is happening through real time telemetry data analytics – observability platforms like Logz.io makes 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. From the user’s point of view, they use observability platforms to search and visualize across their telemetry data to surface production issues and investigate their root cause.
Open source observability platforms unify open source logging, metrics monitoring, and tracing technologies 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.
Open source observability tools are so popular because they are often easy to integrate with cloud-native environments, they help users avoid vendor lock-in, and they can help reduce the total cost of ownership for observability.
Plus, open source observability tools have reached critical masse. Millions of engineers already rely on open source observability tools – when confronted with the choice to learn a new system or stick with the familiar, most choose the latter.