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Set up a CI/CD Pipeline with Cloud-Native Tools

The adoption of cloud-based solutions has become increasingly common. The proof for this is evident – according to Gartner, Inc., the worldwide public cloud services market is expected to grow by 6.3% in 2020, up to a staggering $257.9 billion in value. The Flexera 2020 State of the Cloud Report, released on April 28, 2020, states that more than 90% of respondents have adopted cloud computing, with the top three cloud service providers being – AWS, Azure, and Google Cloud Platform.

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How Common Application Issues Kill Performance

In the modern era of digital businesses, web applications need to deliver on several grounds–performance, user experience, robustness, and scalability. However, many developers might agree that performance is of the utmost importance in any software application. The bells and whistles of a fancy UI and extensive functionalities can sometimes force performance to take the back seat. Additionally, there are a lot of reasons for performance to degrade over time.

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How to Identify and Debug Memory Bloat

Even the systems that run smoothly day and night, can flounder when short of memory. Efficient memory usage has become of utmost importance for software applications. Nowadays, with growing audiences and faster speed and data retrieval expectations, memory issues pose a huge threat to performance and can lead to huge losses in terms of customers and money. Therefore, it is very important to build memory-efficient applications that ensure overall performance and a smooth customer experience.

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How To Detect and Prevent Memory Leaks

A memory leak in an application deployed on the cloud can affect the availability and reliability of the application. Therefore, it is highly important to identify and ultimately resolve it quickly. However, in the production environment running on the cloud, memory leak detection is a challenge without the knowledge of the application or its internal object allocation details.

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Python Memory Management: The Essential Guide

Python is not known to be a "fast" programming language. However, according to the 2020 Stack Overflow Developer Survey results, Python is the 2nd most popular programming language behind JavaScript (as you may have guessed). This is largely due to its super friendly syntax and its applicability for just about any purpose.

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How to Monitor Kubernetes Applications

Software companies large and small are embracing microservices as a superior approach to application development and management, compared to the earlier monolithic model. These software teams tend to reach out for containerization as their preferred way of packaging and shipping applications. Containers provide a lightweight encapsulation of any application, whether it is a traditional monolith or a modular microservice.

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Python Garbage Collection: A Guide for Developers

During the course of execution, software programs accumulate several data objects that serve no purpose in the program and need to be let go. If not dealt with, they can keep eating up memory and significantly hamper performance. Garbage collection is the process of cleaning up all these useless data objects that continue to reside in memory. It frees up the corresponding RAM to make room for new program objects.

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How to Manage Ruby Memory Usage

Even the most prominent and reliable frameworks are notorious for burning out resources if not configured perfectly. In this post, we are about to take a look at how Ruby, one of the most prominent programming languages and an awesome web application alternative when combined with Rails, manages memory, and how you can make it perform even better. Ruby is a scripting language built for use in web applications and similar stuff.