The hottest Logging Substack posts right now

Making HTTP POST requests can have unexpected challenges, like dealing with network issues and corporate setups.
Using ThreadExecutor and ThreadPoolExecutor in Python can help manage tasks efficiently, especially in scenarios like log aggregation.
Error handling is crucial in programming, and sometimes unconventional solutions are needed to manage exceptions effectively.

A valid sentence must start with a capital letter followed by a lowercase letter or a space, with specific rules for other characters and spacing.
When tackling a problem, take time to understand nuances like handling input as a stream, which impacts the approach to the solution.
Identify the methodology needed for a problem by recognizing patterns such as tracking the state of input to determine the rules to apply, making problem-solving more manageable.

Using Cloudwatch Logs can be expensive due to high ingestion costs.
Consider alternative solutions like Datadog or a custom AWS setup for cost savings.
Optimizing log storage and querying processes can lead to significant cost reductions.

Amazon CloudWatch Logs Live Tail helps developers follow cloudwatch logs in real-time with features like dynamic filters and highlights.
Live Tail can stream logs in around 2 seconds from when they are ingested in CloudWatch, while using CLI can vary between 2 to 9 seconds.
Live Tail's pricing model is per-second and includes a free tier of 1,800 minutes per month, making it a useful addition to AWS console tool set for real-time log monitoring.

When programming robots, failure is common and handling it can be complex.
Avoid boolean success returns in your code and consider raising custom exception types for failure scenarios.
Implement logging in your code to track errors and improve decision-making, using structured information for analysis.

Get a weekly roundup of the best Substack posts, by hacker news affinity: