6 posts tagged with "Analytics"

Written in Rust, Parseable leverages Apache Arrow and Parquet as its underlying data structures, offering high throughput and low latency without the overhead of traditional indexing methods. This makes it an ideal solution for environments that require efficient log management, whether deployed on public or private clouds, containers, VMs, or bare metal environments. This guide will delve into the integration of Arrow Flight with Parseable, providing a comprehensive setup for your client.

Managing and deriving insights from vast amounts of historical data is not just a challenge but a necessity. Imagine your team grappling with numerous log files, trying to pinpoint issues. But, because logs are stored as files, it is very inefficient to search through them. This scenario is all too familiar for many developers.

Enter Parseable, a powerful solution to analyze your application logs. By integrating with pandas, the renowned Python library for data analysis, Parseable offers a seamless way to ingest and leverage historical data without the need to discard valuable logs.

In this blog post, we explore how Parseable can revolutionize your data management strategy, enabling you to unlock actionable insights from both current and archived log data effortlessly.

Clickstream data are a series of individual events. These individual events are sequenced to do analytics and draw a variety of insights. To build a dependable analytics system, you need to build reliable infrastructure and a pipeline to record each event. You can build a robust clickstream data infrastructure using React, Node.js, Winston, and Parseable.

Clickstream consists of a series of ongoing user events (such as page visits, button clicks, form submissions, etc.) on websites or apps. These events capture a wealth of information about user behavior and site usability. Data-driven teams log these events, query, and sequence them to gain insights. Teams from marketing, product, and UI/UX departments use this data as a secret sauce to build delightful products.

In the dynamic landscape of Kubernetes network security, it is necessary to be cautious. Tetragon is an eBPF-based Security Observability and Runtime Enforcement tool that integrates with Parseable, a lightweight, high-performance log analytics tool. This post walks you through how to extract and analyse network connections effectively in Parseable using Tetragon. We'll explore how to trigger an alert in the event of outbound connections occurring from the running pod.

Engineers often run into the issue of reproducibility of an issue. Something that happens at one location is hard to reproduce at another location. More often so, for SREs and DevOps folks whose jobs revolve around several moving parts.

Folks at Fiberplane saw this problem and decided to solve it. Fiberplane provides collaborative notebooks for incident debugging, post-mortem, runbooks and general DevOps debugging.