The hottest Observability Substack posts right now

And their main takeaways
Category
Top Technology Topics

All you need is Wide Events, not “Metrics, Logs and Traces”

A Song Of Bugs And Patches • 224 HN points • 15 Feb 24
🕹 Technology Observability Systems Events Metrics
  1. The concept of 'Wide Events' is proposed as a simpler and more effective approach to observability than the traditional 'Metrics, Logs, and Traces'.
  2. Older systems like Open Telemetry may contribute to confusion by categorizing data into distinct pillars, making observability seem complex.
  3. A system like Scuba, based on 'Wide Events', enables streamlined investigation and data exploration, emphasizing the importance of simplicity in observability tools.

How to make history with LLMs & other generative models

Leigh Marie’s Newsletter • 74 HN points • 21 Sep 23
🕹 Technology Machine Learning Infrastructure Applications Observability Privacy
  1. LLMs like Github Copilot can augment developer productivity and provide new opportunities for AI-enabled developer tools startups
  2. Generative models can significantly enhance efficiency for knowledge workers in fields like consulting, legal, medical, and finance, offering potential for startups in these areas
  3. New infrastructure opportunities exist around running large models locally, providing compute resources for model training, and challenging incumbents in ML frameworks and chips

The 3 Pillars of Observability in Distributed Software Systems[System Design Sundays]

Technology Made Simple • 99 implied HN points • 19 Jun 23
🕹 Technology Observability Metrics
  1. Observability in distributed software systems is crucial as they grow in complexity and scale.
  2. The 3 pillars of observability are logs, metrics, and traces, each offering unique insights into the system's operations.
  3. Combining logs, metrics, and traces is essential for building tools that enhance observability and improve system performance.

The Future of Network Observability and Network Automation

Internet Dynamics • 58 implied HN points • 06 Sep 23
🕹 Technology Networking Observability Automation Data Analysis APIs
  1. Network observability is crucial for network automation to handle real-time mitigation and remediation.
  2. Observability solutions need to consider topology, alerts, correlation, suppression, policy, and meta-data for effective network monitoring.
  3. Future approaches to observability and automation should recognize and manifest common components like Topology, CMDBs and Meta-data.
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OpenTelemetry in 2023

Bit by Bit • 21 implied HN points • 28 Aug 23
🕹 Technology Observability Protocol
  1. OpenTelemetry (OTEL) has evolved to cover all of observability, providing a stable standard and SDKs for metrics, logs, and traces.
  2. OTEL is now the second most active project in the CNCF, showing widespread adoption among observability providers.
  3. Key sub-projects of OTEL include specifications, implementations, the OpenTelemetry Protocol, the OpenTelemetry Collector, and the Open Agent Management Protocol.

The Architecture of Modern Observability Platforms

Bit by Bit • 11 implied HN points • 26 Jul 23
🕹 Technology Observability Architecture Platforms Data Storage
  1. Observability platforms help organizations understand the health of their applications using metrics, logs, and traces.
  2. Modern observability platforms tackle the challenge of handling large volumes of data and offer different types of architectures.
  3. Unifying the storage, ingestion, and querying layers can significantly scale and reduce costs in observability platforms.

First Mile Observability and the Rise of Observability Pipelines

Bit by Bit • 8 implied HN points • 14 Aug 23
🕹 Technology Observability Data Collection Open Source
  1. Observability extends beyond just backend systems to include the 'first mile' of data collection and processing.
  2. First-mile observability involves components like receivers, processors, and exporters to create observability pipelines.
  3. Various open-source and commercial solutions exist for implementing first-mile observability pipelines, with options like Vector, Fluent Bit, OTEL Collector, Cribl, Calyptia, Datadog, and Mezmo.

Middleware - Bringing observability up to speed

Termsheet by Attack Capital • 4 HN points • 04 Apr 23
🕹 Technology Observability AI Cloud Microservices Startup
  1. Founder Laduram Vishnoi's frustration with high costs of cloud observability tools led to the creation of Middleware.
  2. Middleware addresses challenges with traditional observability tools by offering a comprehensive and unified solution for cloud-native and microservices.
  3. Middleware uses AI-powered algorithms, is vendor agnostic, and correlates data from various sources to provide real-time observability and streamline issue debugging.