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Ubuntu Logs: How to Check and Configure Log Files

Ubuntu provides extensive logging capabilities, so most of the activities happening in the system are tracked via logs. Ubuntu logs are valuable sources of information about the state of your Ubuntu operating system and the applications deployed on it. The majority of the logs are in plain text ASCII format and easily readable. This makes them a great tool to use for troubleshooting and identifying the root causes associated with system failures or application errors.

Cribl Supports Multiple AWS Account Monitoring and Analytics with New Account Factory Customization

Keeping with our mission of helping customers gain radical levels of choice and control with their observability data, we’re excited to announce full support for the Amazon Web Services (AWS) Account Factory Customization solution within AWS Control Tower console. Customers can now use AWS Control Tower to define account blueprints that scale their multi-account provisioning in a streamlined manner.

Track and triage errors in your logs with Datadog Error Tracking

Reducing noise in your error logs is critical for quickly identifying bugs in your code and determining which to prioritize for remediation. To help you spot and investigate the issues causing error logs in your environments, we’re pleased to announce that Datadog Error Tracking is now available for Log Management in open beta.

The Basics of Using AWS EventBridge for Observability

As you adopt modern, serverless, microservices-based architectures, it can become more challenging to monitor and understand the state of your applications at any given time. That’s where event bus capabilities from services like Amazon EventBridge can come in handy. AWS EventBridge can help you build loosely coupled, event-driven architectures and applications, and deploy new features faster.

Going Beyond Infrastructure Observability: Meta's Approach

What’s the ultimate goal of bringing observability into an organization? Is it just to chase down things when they’re broken and not working? Or can it be used to truly enable developers to innovate faster? That’s a topic I recently discussed with David Ostrovsky, a software engineer at Meta, the parent company of social media networks Facebook and Instagram among others. He was my guest on the most recent episode of the OpenObservability Talks podcast.

Making the Most of CloudWatch Log Insights: 7 Best Practices

Amazon CloudWatch provides Log Insights, a feature that can help you: CloudWatch Log Insights uses a proprietary query language with several basic commands. It provides sample queries for common AWS service log types, as well as query auto-completion. Learn more about CloudWatch Log Insights capabilities and how to use them.

Can Observability Push Gaming Into the Next Sphere?

The gaming industry is an extensive software market segment, reaching over $225 billion US in 2022. This staggering number represents gaming software sales to users with high expectations of game releases. User acquisition takes up a large part of software budgets, with $14.5 billion US spending globally in 2021. User retention is critical to the success of any game, especially where monetization requires driving in-app purchases and ad revenue.

Why Centralized Log Management? Understanding the Use Cases

Centralized log management provides various benefits across an organization. The fundamentals of log management offer a wide variety of business use cases. Whether you’re managing event log data manually or realizing you need more than an Open Source solution, finding the right internal champions can make your life easier. Understanding the business use cases and strategic impact centralized log management provides can help you gain the internal buy-in you need.

Cribl Search: An Innovative New Way to Search Observability Data

These days, administrators typically have to deploy multiple tools to search through all of their datasets – then they get to spend the little free time they have left over dreaming of a world where they could search multiple distributed datasets simultaneously, similar to existing web search tools. They might have one tool for Splunk, another for Elastic, and some may even still be using grep or some other cumbersome function to search non-correlated data.