20 posts tagged with "Parseable"

If you are a programmer, you might have come across various mainstream practices, one of them being logging. The process itself can act as your silent guardian and helps you record the changes and steps your application is taking. While there is no standardized rule book for you to refer, we have compiled a few rules of thumbs to start your journey with. Effective logging isn’t just about collecting data, it involves a well-defined strategy. Consider this blog post as your beginner’s guide to logging practices.

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.

With the release of Parseable v1.2.0, we are excited to introduce a major upgrade focusing on enhanced querying and ingestion capabilities. This new version brings a suite of powerful features designed to improve the speed, flexibility, and compatibility of log management.

Our focus this release has been to improve user experience when querying data. Additionally, we made several server side improvement to enhance the query performance.Let's go over the highlights of this release.

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.

We released pb, a modern, fast and intuitive CLI for log management couple of months ago. pb is built for developers who like the comfort of their terminal. Log data is primarily textual, and hence it was important that pb is pluggable via the linux pipe | to other text manipulation tools like grep, awk, sed etc.

In this post, we will see how pb can be used to wrangle log data in the terminal. We'll also explore the new pb tail command to see how it can be used to tail logs in the terminal.

Generative AI has been making waves recently, and we're excited to announce how we've used OpenAI to bring Natural Language-based SQL generation to Parseable. In this blog post, we'll delve into the technical aspects of this feature, its potential applications, and what lies ahead on our development roadmap.

Audit logs are core components of security and observability in Kubernetes. This post explains how to ingest and store Kubernetes audit logs in Parseable. Additionally, we'll see how to setup alerts on these logs to get notified when a specific event occurs. In this example, we'll setup an alert to get notified when a user (service-account) accesses a secret.

pb is a command line tool designed to fit developer's toolkit and help debug issues faster. You can point pb to a Parseable for instance, query and analyze logs, directly from the comfort of command line. The focus is to meet the users where they are, and not force them to switch contexts into different dashboards. pb is written in Go and available as a single static binary for all the major platforms.

AWS Lambda is a serverless compute service that allows you to run code in response to certain events. However, debugging, monitoring or audit logs of Lambda functions are tightly coupled to AWS CloudWatch, which is a leading cost driver for Enterprises. In this post, we will see how to use Parseable to ingest logs and store them in a cost effective manner on AWS S3 for longer and more meaningful analytics.

Parseable is a free and open source, purpose built log observability system. We use advancements in big data and analytics to bring best of efficiency, simplicity, and performance to log data. Learn why and how we're building Parseable.