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Kubernetes Volume Autoscaler VS OpenCensus

Compare Kubernetes Volume Autoscaler VS OpenCensus and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Kubernetes Volume Autoscaler logo Kubernetes Volume Autoscaler

Automatically scale disks / volumes in Kubernetes, ideal for DevOps

OpenCensus logo OpenCensus

Application and Data, Monitoring, and Monitoring Tools
  • Kubernetes Volume Autoscaler Landing page
    Landing page //
    2022-11-07
  • OpenCensus Landing page
    Landing page //
    2023-05-25

Kubernetes Volume Autoscaler features and specs

No features have been listed yet.

OpenCensus features and specs

  • Unified Tracing and Metrics
    OpenCensus provides a single API for capturing distributed traces and metrics, allowing developers to instrument their applications without needing to work with multiple different libraries.
  • Multiple Language Support
    OpenCensus supports a wide range of programming languages, enabling its use across diverse technology stacks and facilitating easy integration into existing projects.
  • Backend Agnostic
    OpenCensus can export data to various backends including Prometheus, Stackdriver, Zipkin, and more, offering flexibility in monitoring and observability solutions.
  • Automatically Instrumented Libraries
    It provides automatic instrumentation for many popular libraries and frameworks, reducing the effort required to add observability into an existing codebase.
  • Open Source
    As an open-source project, OpenCensus allows for community involvement, continuous improvement, and transparency, with the potential for community-driven innovations and support.

Possible disadvantages of OpenCensus

  • Complexity of Configuration
    Configuring OpenCensus can be complex, especially for users who are not familiar with distributed tracing and metrics collection, potentially increasing the learning curve.
  • Integration Overhead
    Despite offering automatic instrumentation, integrating OpenCensus into a large existing application may still require significant effort and testing.
  • Performance Overhead
    Like any monitoring system, OpenCensus introduces some performance overhead that could impact application performance, particularly if not properly configured.
  • Fragmented Documentation
    The documentation for OpenCensus can be fragmented or lacking in certain areas, making it difficult for new users to find comprehensive guides or troubleshooting information.
  • Deprecation and Transition to OpenTelemetry
    OpenCensus is being merged into OpenTelemetry, which could lead to deprecation, and users might eventually need to transition to or adopt OpenTelemetry for continued support and updates.

Kubernetes Volume Autoscaler videos

No Kubernetes Volume Autoscaler videos yet. You could help us improve this page by suggesting one.

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OpenCensus videos

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Custom metrics with OpenCensus

More videos:

  • Review - OpenTelemetry: Overview & Backwards Compatibility of OpenTracing + OpenCensus - Steve Flanders
  • Review - OpenTelemetry: Overview & Backwards Compatibility of OpenTracing + OpenCensus - Steve Flanders

Category Popularity

0-100% (relative to Kubernetes Volume Autoscaler and OpenCensus)

Kubernetes Volume Autoscaler

OpenCensus

Dev Ops
14 14%
Dev Ops
86% 86
Kubernetes
100 100%
Kubernetes
0% 0
Cloud
0 0%
Cloud
100% 100
Persistentvolumeclaim
100 100%
Persistentvolumeclaim
0% 0

User comments

Share your experience with using Kubernetes Volume Autoscaler and OpenCensus. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, OpenCensus seems to be more popular. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Kubernetes Volume Autoscaler mentions (0)

We have not tracked any mentions of Kubernetes Volume Autoscaler yet. Tracking of Kubernetes Volume Autoscaler recommendations started around Nov 2022.

OpenCensus mentions (13)

  • OpenTelemetry Journey #01 - Important concepts
    First of all, let's start with the basics. There are some important concepts to be clarified before we dive into the OpenTelemetry world. The vast majority of the naming conventions and concepts are from projects and papers that inspired OpenTelemetry, such as OpenTracing, OpenCensus and Dapper. - Source: dev.to / about 1 year ago
  • OpenTelemetry Journey #00 - Introduction to OpenTelemetry
    OpenTelemetry it's a result from the merge of two important projects that are now archived: OpenTracing and OpenCensus. The project is incubated in Cloud Native Computing Foundation (CNCF) and has a strong community behind it. The CNCF is part of the Linux Foundation and hosts critical components of the global technology infrastructure, including Kubernetes and Prometheus. Currently, OpenTelemetry is the second... - Source: dev.to / about 1 year ago
  • Distributed Tracing with OpenTelemetry - Part I
    OpenTelemetry was born from the merger of two other standards that decided to unify forces instead of competing with each other; these projects were OpenTracing and OpenCensus. - Source: dev.to / over 2 years ago
  • Google Cloud Reference
    OpenCensus: Cloud native observability framework 🔗Link. - Source: dev.to / over 2 years ago
  • Tracing Gorm queries with OpenCensus & Google Cloud Tracing
    At incident.io we use gorm.io as the ORM library for our Postgres database, it's a really powerful tool and one I'm very glad for after years of working with hand-rolled SQL in Go & Postgres apps. You may have seen from our other blog posts that we're heavily invested in tracing, specifically with Google Cloud Tracing via OpenCensus libraries. A huge amount of our application's time is spent talking to Postgres... - Source: dev.to / almost 3 years ago
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What are some alternatives?

When comparing Kubernetes Volume Autoscaler and OpenCensus, you can also consider the following products

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