A powerful open-source container orchestration system, Kubernetes automates the deployment, scaling, and management of containerized applications. It’s a popular choice in the industry these days. Automating tasks like load balancing and rolling updates leads to faster deployments, improved fault tolerance, and better resource utilization, the hallmarks of a seamless and reliable software development lifecycle.
PyTorch is an open-source machine learning (ML) framework that accelerates the path from research prototyping to production deployment. You can work with PyTorch using regular Python without delving into the underlying native C++ code. It contains a full toolkit for building production-worthy ML applications, including layers for deep neural networks, activation functions and optimizers. It also has associated libraries for computer vision and natural language processing.
We're happy to announce that AppSignal now offers monitoring tools for Python projects. AppSignal helps you get the most out of your Python application's monitoring metrics, with additional support for multiple Python frameworks and packages such as Django and Celery. In this article, we'll walk you through some of our core features to show you how to power up your Python application with AppSignal.
InfluxDB v3 allows users to write data at a rate of 4.3 million points per second. However, an incredibly fast ingest rate like this is meaningless without the ability to query that data. Apache DataFusion is an “extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format.” It enables 5–25x faster query responses across a broad range of query types compared to previous versions of InfluxDB that didn’t use the Apache ecosystem.
Building and deploying highly scalable, distributed applications in the ever-changing landscape of software development is only half the journey. The other half is monitoring your application states and instances while recording accurate metrics. There are moments when you wish to check how many resources are being consumed, how many files are under access by the specialized process, etc. These metrics provide valuable insights into our tech stack execution and management.
Python is one of the most popular programming languages and its usage continues to grow. It ranked first in the TIOBE language of the year in 2022 and 2023 due to its growth rate. Python’s ease of use and large community have made it a popular fit for data analysis, web applications, and task automation. In this post, we’ll cover: We’ll take a practical look at how you should think about garbage collection when writing your Python applications.
Prometheus is becoming a popular tool for monitoring Python applications despite the fact that it was originally designed for single-process multi-threaded applications, rather than multi-process. Prometheus was developed in the Soundcloud environment and was inspired by Google’s Borgmon. In its original environment, Borgmon relies on straightforward methods of service discovery - where Borg can easily find all jobs running on a cluster.
