Observability framework in Salesforce

Salesforce errors are inevitable. But how should you deal with them, especially as the platform becomes more mission-critical? Two top Salesforce experts survey the best ways to identify, manage, and resolve Salesforce errors, taking you beyond its out-of-the-box tools into robust options that make troubleshooting easier and more effective. You’ll learn the pros and cons of using free, open-source solutions like Nebula Logger, external platforms like Splunk, the free native solution from Pharos, and other logging and observability options so you’ll know which solution best fits your situation. Join us to learn about the Observability framework in Salesforce.

Managing Salesforce Errors: From Logging to Observability

• Time: Thu, MAY 23, 2024 – 1:00 PM EST.
• Speaker: Matt Kaufman, Nikita Prokopev.

What is the Observability framework?

An observability framework refers to a set of tools, practices, and processes that enable organizations to gain insights into the internal state of a system by analyzing its external outputs. It is essential for understanding complex systems, particularly in software development and IT operations, where traditional monitoring may fall short.

Key components of an observability framework

Key components of an observability framework typically include:

1. Metrics: Quantitative data points that provide insights into system performance and health, such as response times, error rates, and resource utilization.
2. Logs: Timestamped records of events that happen within the system, which help in troubleshooting and understanding the context of actions taken by the system or users.
3. Traces: Information that shows the path of a request throughout a system, particularly in microservices architectures. This helps in identifying bottlenecks and understanding where time is being spent.
4. Alerting: Automated notifications that are triggered based on predefined conditions, helping teams to respond quickly to incidents.
5. Dashboards: Visual representations of metrics and logs that help teams monitor the system’s health and performance in real-time.
6. Integration: The ability to connect various tools and platforms to gather and analyze data from multiple sources.

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Summary

By implementing a robust observability framework, organizations can enhance their ability to diagnose issues, optimize performance, and improve user experiences. This is increasingly crucial in today’s complex and distributed system environments.