The biggest challenge in log management is getting logs to the right destination in the right way. Systems use different configurations, generate logs in different formats, and many destinations cannot receive certain types of syslog. On top of that, policies and technologies keep evolving. As a result, teams often spend significant time creating parsers and maintaining configurations just to keep logging pipelines running.

Logproxy solves this by acting as a vendor-agnostic agent that handles these differences for you. Instead of building and maintaining custom parsers, you can rely on Logproxy to ensure seamless compatibility between virtually any log source and destination.

Logproxy uses a transparent infrastructure-based pricing model designed for enterprise scalability. Instead of charging per connected device or per ingested log source, pricing is primarily based on the required processing performance, deployment size, high-availability requirements, and optional support services.

This gives organizations predictable costs even as the number of integrated systems grows, while avoiding the data-volume penalties common with many traditional logging platforms.

Because Logproxy is built to efficiently collect, process, transform, and forward large amounts of telemetry data, customers only pay for the performance tier and service level that matches their operational needs.

Logproxy offers flexible deployment options to match virtually any IT architecture. It can run as a lightweight agent on individual servers, as a centralized collection node, as a containerized service, or as a distributed layer across Kubernetes and cloud-native environments.

Depending on operational requirements, Logproxy can be deployed in on-premises infrastructures, private clouds, public clouds, or hybrid environments with full support for high availability and horizontal scaling.

This allows organizations to choose the deployment model that best fits their performance, security, and network topology needs without changing existing systems.

Logproxy is designed to fit seamlessly into your current IT environment. It collects logs and telemetry data from servers, applications, containers, cloud services, and network devices in common industry formats such as Syslog, JSON, CSV, GELF, CEF, LogFmt, Protobuf, OTLP, and plain text.

As data passes through Logproxy, it can be parsed, filtered, enriched, normalized, and converted between these standards. If needed, Logproxy also allows you to define your own target data structure to ensure full compatibility with internal schemas or downstream analytics requirements. Its transformation model explicitly supports remapping one format into another before delivery.

The processed data is then forwarded to your existing SIEM, monitoring, analytics, or storage platforms, allowing you to improve data quality and transport efficiency while keeping your current tools in place.

No coding required: Use an intuitive user interface to manage data pipelines and apply rules. Use predefined data workflows or create your own using a visual programming editor.

Plug and play: Collect logs from anywhere without setup headaches. Automatic source discovery lets you start collecting logs from virtually any system right away. No custom code, no manual parsing, no hassle.

High performance: Logproxy uses edge processing and pre-aggregation near the source to improve performance and reduce bandwidth requirements.