Managing Massive Amounts of Log Data Requires Petabyte-Scale Architecture

This blog covers the main components of the EraSearch architecture that power transformational benefits.

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For modern IT teams, managing a large volume of logs, often at a petabyte scale, is not an easy task. EraSearch offers a quantum leap in log management for those teams. Under the hood of EraSearch is an innovative architecture that is perfectly optimized for managing a large volume of logs.

This blog covers the main components of the EraSearch architecture that power transformational benefits, including high data ingest, lightning-fast query performance, and an extreme cost savings of 90% or more when compared to traditional logging tools.

Highly Scalable EraSearch Architecture

The following diagram shows the key components of the EraSearch architecture, including highly scalable collection and ingest stages, indexing, storing, and querying. The entire architecture is Kubernetes-based, tuned for cloud-native workloads.

Object Storage Supports a Simple Way to Log Everything

Object storage has all the properties of a limitlessly scalable storage tier. IT teams don’t need to decide upfront what log data they need to collect, nor is there a need to manage increasing demands for log data. IT teams can just log everything. Object storage is cost efficient and easy to manage. There is no more need for planning and managing volumes, shard sizes, or replication. 

Streaming Ingest Enables Variable and High-Volume Data Loads

The Streaming Ingest functional tier allows fast-moving teams to ingest variable data quickly without worrying about the complexities of architecting a scalable ingest pipeline, which is often required with legacy architectures such as Elasticsearch. Scaling can overwhelm Elasticsearch, causing backpressure issues that usually result in problems further downstream.

Query Processor Allows Iteration Important for Faster Troubleshooting

The Query Processor functional tier enables teams to run lightning-fast queries. This allows teams to analyze large volumes of data, iterate, and troubleshoot quickly. Even when engineers run complex queries on large volumes of log data, the results are visualized in almost real time.

For more details about how EraSearch’s innovative architecture can help you simplify your log management, download this whitepaper.

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