Assorted links for Wednesday, Febuary 26:

1. What is observability 2.0?

   Key differences between traditional observability and observability 2.0

   • Data handling:
     • Traditional: Relies on separate tools for metrics, logs, and traces, creating silos and requiring manual correlation.
     • 2.0: Unifies telemetry data into a single platform, offering a comprehensive view of system health.
   • Problem detection:
     • Traditional Uses static thresholds and alerts that are often reactive and miss subtle issues.
     • 2.0: Employs AI and machine learning to identify anomalies in real-time, enabling proactive issue resolution.
   • Focus on context:
     • Traditional: Provides raw technical data without linking it to broader business outcomes.
     • 2.0: Maps telemetry data to business metrics, ensuring decisions align with organizational goals.
   • Scalability and adaptability:
     • Traditional Struggles with dynamic environments like Kubernetes and serverless, often requiring custom setups.
     • 2.0: Designed for dynamic scaling, adapts with ease to changes in cloud-native architectures.

2. Cloud Native Computing Foundation Announces CubeFS Graduation

   CubeFS is an open source distributed storage system that supports access protocols such as POSIX, HDFS, S3, and its own REST API. It can be used in many scenarios, including big data, AI/LLMs, container platforms, separation of storage and computing for databases and middleware, data sharing, and more. Key features of CubeFS include a highly scalable metadata service with strong consistency and multi-tenancy support for better resource utilization and tenant isolation.

3. What Developers Need to Know About Telemetry Pipelines

   A telemetry pipeline is a system that collects, processes and routes telemetry data (logs, metrics and traces) from various sources to the right monitoring and analysis tools. Instead of managing separate agents or collectors for different signals, a telemetry pipeline unifies data handling, making observability more efficient and scalable.

4. What Are Linux Namespaces and How Are They Used?

   Namespaces restrict resources that a containerized process can see so that one process can’t see the resources being used by another. This feature is crucial to the likes of containers and orchestration tools such as Kubernetes because, otherwise, one deployed container would be able to access or view resources used by another.

5. System Operators to Timekeepers: What Will Replace Leap Seconds?

   Earth’s rotation, for thousands of years, has mostly slowed, the biggest driver being the changing tides that come with the gravitational tug of the moon. Currents in the planet’s outer core, which scientists are still trying to figure out, also have slowed the spin. But the core can speed up the spin, too, which may be what’s been happening recently. Additional leap seconds have become a lot less frequent in the past two decades.