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Komodor
PlotlyKomodor is recommended for DevOps teams, site reliability engineers (SREs), and developers who work with Kubernetes and are looking for efficient ways to monitor, troubleshoot, and maintain their Kubernetes clusters.
Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
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Based on our record, Plotly should be more popular than Komodor. It has been mentiond 34 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.
Helm Dashboard is an open-source project by Komodor that offers a visual and user-friendly way to manage and visualize all the Helm charts installed in your clusters. Instead of using the terminal, you can leverage the Helm Dashboard's intuitive UI to perform a variety of tasks that make working with Helm a breeze. Here are some of its key features:. - Source: dev.to / almost 3 years ago
Speaking of tools that I think I could talk an employer into buying, how about something to help with troubleshooting Kubernetes? Komodor is an observability tool that gives you insight into whatโs happening with your clusters and workloads. As distributed applications have become more complex, theyโve become more difficult to troubleshoot, and Komodor gives you an integrated view of your Kubernetes resources. Not... - Source: dev.to / about 4 years ago
Monitoring changes in the entire Kubernetes stack requires specialized skills particularly in the effective analysis of ripple effects and context-based approach in troubleshooting problems. A K8s-native troubleshooting solution like Komodor ensures that the troubleshooting process is undertaken in an independent and efficient manner. It institutes systematization to address the chaos that is usually present when... - Source: dev.to / almost 5 years ago
You can find more info on https://komodor.com or DM me (full disclosure: I work for Komodor at the moment). Source: almost 5 years ago
For Troubleshooting: Komodor Komodor is a troubleshooting tool that has been gaining popularity in the Kubernetes dev community. What Komodor offers is the ability to gain a full view of all changes across the entire k8s stack - and their ripple effects - to streamline the usually laborious task of understanding what went wrong, when something goes wrong. - Source: dev.to / almost 5 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
Devo - Devo delivers real-time operational & business value from analytics on streaming and historical data to operations.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Blumira - Blumira's threat detection platform offers both automated threat detection and response, enabling organizations of any size to more efficiently defend against cybersecurity threats in near real-time.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Google StackDriver - Stackdriver provides monitoring services for cloud-powered applications.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.