OpsMatters’ Post

Asynchronous event processing...

Like any good tool, netlab gives you all the rope you need to tie yourself in knots. Here’s how it deals with VRFs:

The latest update for #Grafana includes "#GrafanaTempo 2.5 release: vParquet4, streaming endpoints, and more metrics" and "How to export any Grafana visualization to a CSV file, Microsoft Excel, or Google Sheets". #monitoring #devops https://lnkd.in/dZy648x

Get to know Particle Logic, a game-changing tool in the Particle Console that enables you to easily set up data transformations, aggregations, and third-party integrations — all without complex firmware updates.

How can users who are not using a table format like Iceberg, Delta Lake, or Hudi leverage Unity Catalog? Michelle Leon from Databricks dives into the capabilities of Unity Catalog and its impact on data management in this fireside chat.🔥 👀 Watch the full conversation: https://hubs.la/Q02PpZGn0 #opensource #oss #linuxfoundation

Grafana is a great tool for data visualization. I mostly use it for POCs during the prototyping phase. Here is an example from a few IAQ/OAQ units that we developed for industrial/commercial spaces.

I am happy to share that , i have developed a speech emotion recognition system that utilizes a 1D-CNN-LSTM architecture and MFCC feature extraction to classify emotions (happy, sad, fearful, angry, disgust, neutral, calm) from voice input. This technology holds significant potential for applications in home automation. Special thanks to my teammates 🔗 Github link : https://lnkd.in/dPqWXRKH 🔎 Kaggle Dataset (RAVDESS) : https://lnkd.in/dExchjj5 #deeplearning #SER #homeautomation

How to leverage #eventdrivenarchitecture to feed #realtime data into Retrieval Augmented Generation (#rag) with the use case of #frauddetection. 🥑 Tamimi A. #contextmesh

In this Observo AI demo from Splunk .conf24, we show how easy it is to drag and drop to create a #pipeline from scratch and then we show how to transform data from #Windows #logs and #XML into the #Splunk CIM for easy ingestion to Splunk. This is part of our series on demos of Observo AI. https://lnkd.in/g-ufFdsc #siem #observability #AI

🚀 RoninVM Update: New Features & Enhancements I am excited to announce the latest updates to RoninVM, the stack-based virtual machine I’ve been developing! These updates bring several new features and improvements that expand its functionality and make it even more powerful. New Features & Improvements: 🔹 Extended Instruction Set: Added new instructions like INST_DUP (duplicate the top stack value), INST_SWAP (swap the top two stack values), and INST_MOD (modulo operation). Comparison instructions are now more robust with INST_CMPE, INST_CMPG, INST_CMPL, and others to support greater flexibility in decision-making operations. 🔹 Control Flow Enhancements: Introduced conditional jumps (INST_CJMP) and unconditional jumps (INST_JMP), allowing for more complex control flows and branching in your programs. 🔹 Error Handling: Improved error checks for stack overflow and stack underflow to prevent program crashes and ensure safer execution. 🔹 File I/O Improvements: Now you can save and load programs from binary files, making it easier to manage and run your programs across sessions. 🔹 Performance Improvements: Optimized execution logic for better performance, ensuring smoother program execution even as the complexity of the virtual machine grows. 🔗 Dive into the latest updates and explore the new features on the RoninVM GitHub Repository -> https://lnkd.in/d-rtyqXG This is just the beginning! Over the next few weeks, I’ll be sharing more details about the updates, how to use them, and the thought process behind each new feature. Make sure to follow along to get a deeper understanding of RoninVM! Inspired by - Tsoding's VM -> https://lnkd.in/dCeFVymi - Cobb Coding -> https://lnkd.in/dmRhApjS