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metricfire

Python API with Kubernetes and Docker - Part I

Aug 23, 2024 By Aymen Eralabs In MetricFire
Docker is one of the most popular containerization technologies. It is a simple-to-use, developer-friendly tool and has advantages over other similar technologies that make using it smooth and easy. Since its first open-source release in March 2013, Docker has gained attention from developers and ops engineers. According to Docker Inc., Docker users have downloaded over 105 billion containers and 'dockerized' 5.8 million containers on Docker Hub. The project has over 32K stars on GitHub.
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devart

Python Connectors Release: Microsoft Excel Integration and Updated Subscription Model

Jul 31, 2024 By DAC Team In Devart
We are thrilled to announce the latest release of our Python Connectors product line, now featuring a subscription model designed to offer even greater cost-effectiveness and convenience. The new pricing structure makes our connectors more accessible, allowing users to benefit from ongoing updates and support while optimizing their software expenditure.
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appsignal

Monitor the Performance of Your Python Django App with AppSignal

Jul 31, 2024 By Amir Tadrisi In AppSignal
When we observe a slow system, our first instinct might be to label it as failing. This presumption is widespread and highlights a fundamental truth: performance is synonymous with an application's maturity and readiness for production. In web applications, where milliseconds can determine the success or failure of a user interaction, the stakes are incredibly high. Performance is not just a technical benchmark, but a cornerstone of user satisfaction and operational efficiency.
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gitkraken

Enhancing Git Management in Python Projects

Jul 26, 2024 By Sarah Lean In GitKraken
Git is an essential tool for version control, whether you are a developer or an IT pro. Git allows engineers to track changes, collaborate, and manage their code effectively. However, for beginners, navigating Git can be daunting. Enter GitLens, a powerful Visual Studio Code (VS Code) extension designed to enhance Git capabilities and simplify Git management.
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solarwinds

How to Send Python Logs to Loggly

Jul 15, 2024 By Loggly Team In SolarWinds
Logging in a Python application is straightforward. When you have good logs, you have better visibility into application health. You can monitor performance and track user activity. You’re better equipped to debug errors. Life is good. The challenges come when your application grows more complex. Perhaps your Python code is part of a broader application, or you have services distributed across multiple machines or clouds.
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coroot

Instrumenting Python GIL with eBPF

Jul 12, 2024 By Nikolay Sivko In Coroot
Every Python developer has heard about the GIL (Global Interpreter Lock) This lock simplifies memory management and ensures thread safety, but it also limits the performance of multi-threaded, CPU-bound programs because threads can’t run Python code in parallel. Here is a great explanation of why Python requires the GIL by Python’s creator, Guido van Rossum: Guido van Rossum: Will Python ever remove the GIL? | Lex Fridman Podcast Clips.
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Python Flask instrumentation using OpenTelemetry | SigNoz

Jul 11, 2024 By SigNoz In SigNoz
In this video, you will learn how to instrument your Python Flask application using OpenTelemetry and monitor your trace data in SigNoz. Link to Document used in this video More about SigNoz: SigNoz - Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc. Backed by Y Combinator. SigNoz helps developers monitor applications and troubleshoot problems in their deployed applications. SigNoz uses distributed tracing to gain visibility into your software stack.
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circleci

Test and deploy containerized PyTorch models to Heroku

Jun 20, 2024 By Vivek Maskara In CircleCI
PyTorch is an open source machine learning (ML) framework that makes it easy for researchers and developers to move their projects from prototyping to production. With PyTorch, you don’t have to learn complex C++ code - you can use regular Python for your ML projects. This makes it a great choice for anyone who wants to get started quickly and easily with ML.
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