Systems | Development | Analytics | API | Testing

Logging

Collect Logs and Traces From Your Snowflake Applications With Event Tables

We are excited to announce the general availability of Snowflake Event Tables for logging and tracing, an essential feature to boost application observability and supportability for Snowflake developers. In our conversations with developers over the last year, we’ve heard that monitoring and observability are paramount to effectively develop and monitor applications. But previously, developers didn’t have a centralized, straightforward way to capture application logs and traces.

The Best Resources to Learn Android Development

Android has surged past iOS to dominate the world’s smartphone market, but its ecosystem is growing at an exponential rate. There were more than 24,000 different Android devices at the last count, which places major strains on devs. To learn Android development, you have to learn how to optimize for hundreds of different devices. So you need a clear learning plan that can be applied to the entire Android ecosystem.

The Evolution of Search: How Multi-Modal LLMs Transcend Vector Databases

As we venture deeper into the data-driven era, the traditional systems we have employed to store, search, and analyze data are being challenged by revolutionary advancements in Artificial Intelligence. One such groundbreaking development is the notable advent of Large Language Models (LLMs), specifically those with Multi-Mod[a]l abilities (e.g., Image & Audio).

How Log4J2 Works: 10 Ways to Get the Most Out Of It

Log4j2 is the updated version of the popular and influential log4j library, used extensively throughout the Java ecosystem for so many years. Version 2.x keeps all the logging features of its predecessor and builds on that foundation with some significant improvements, especially in the area of performance. And of course, given how instrumental logging is for any application, both for audit and debugging purposes, choosing a solid logging library is quite an important decision.

6 Best Node.js Logging Libraries

You can find the issue by reading the stack trace after a program fails. A stack trace, however, only reveals the status of the application at the time of failure and not before the error was met. Logging packages can help with this. They provide specifics about the behavior of the program before the failure and transmit them to the location you specify, such as a file or a monitoring tool. Node.js has access to a wide variety of logging tools, but not all of them are made equal.

Which are the best resources to learn iOS development?

Developers striving to learn iOS face a rate of change that’s unprecedented in mobile history. iOS 17 is about to go live, just weeks after Apple released the latest versions of iOS 15 and 16. The latest upgrade will cut off all versions up to the iPhone X (which itself is only six years old) and comes with: If you really want to learn and master iOS app development, you need a blend of learning resources that cover all these topics, as well as all the basics of iOS.

The Ultimate Guide to ELK Log Analysis

ELK has become one of the most popular log analytics solutions for software-driven businesses, with thousands of organizations relying on ELK for log analysis and management in 2021. In this ultimate guide to using ELK for log management and analytics, we’re providing insights and information that will help you know what to expect when deploying, configuring, and operating an ELK stack for your organization. Keep reading to discover answers to the following.

Where Are IIS Log Files Located? How to View IIS Logs on Windows & Azure

Discover where IIS log files are located on both Windows servers and Azure. This guide offers a step-by-step tutorial on how to locate and view your IIS logs, ensuring efficient troubleshooting and security audits. For a standard Windows Server, the default log location is: %SystemDrive%\inetpub\logs\LogFiles If your IIS logs are not stored in the default location, follow these directions below to look up where they are currently being stored.

Filebeat vs. Logstash: A Quick Comparison

When it comes to managing logs in a distributed environment, two popular open-source tools come to mind: Filebeat and Logstash. While both tools have similar goals, there are significant differences in their functionality and usage. Filebeat is a lightweight log shipper that collects, parses, and forwards logs to various outputs, including Elasticsearch, Logstash, and Kafka.