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6 posts tagged with "analytics"

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Build Clickstream Data Infrastructure with Winston and Parseable

· 7 min read
Abhishek Sinha
Guest Author

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.

How to collect, store, and analyze clickstream data with Parseable

· 7 min read
Abhishek Sinha
Guest Author

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.

Ingest OTEL Logs with Grafana Alloy & Parseable

· 8 min read
Shantanu Vishwanadha
Developer Relations

Logs are critical components of an application. They help maintain system reliability, performance and most of the time also help understand user behaviors, uncover patterns in customer actions and much more. Problem however in managing logs is manifold - missing structure, ad-hoc formats and the sheer volumes making it difficult to manage and analyze.

OpenTelemetry (aka OTEL) is a community initiative to help standardize collection, querying and visualization of logs, traces and metrics. With a well defined standard for logs, users can choose the log processing system that best fits their needs.

Get Started with eBPF Network Log Analytics in your Kubernetes Cluster

· 6 min read
Neependra Khare
Guest Author

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.

Visualize eBPF logs with Parseable and Grafana

· 6 min read
Pratiksha Patel
Guest Author

In our previous post Get started with eBPF log analytics in your Kubernetes cluster, we saw how to ingest Tetragon logs in Parsable and generate alerts when a sensitive file like /etc/passwd is accessed by an unauthorized pod. However, it is time-consuming and generally difficult to work with large volume of raw logs. Visualizing logs in a dashboard helps better identify patterns.

This post is a continuation of the previous post. In this post, we will see how to visualize the eBPF logs in Grafana.

Get started with eBPF log analytics in your Kubernetes cluster

· 8 min read
Pratiksha Patel
Guest Author
Aldrin Jenson
Guest Author

Traditionally Linux kernel has been one of the best places to implement security and observability features, but also very difficult in practice, because you can't add new features to the kernel. eBPF changes this by securely enhancing the Kernel functionality at runtime. eBPF allows sandboxed programs to be executed in the Linux kernel without changing the kernel source code or requiring a reboot. It extends the Linux kernel at runtime.

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