The rapid pace of updates and upgrades to operating systems, software frameworks, libraries, programming language versions – a boon to the future of fast-paced software development, has also come to slightly bite us in the back because of having to manage these very many dependencies with their different versions across different environments.
Each day, more and more companies consider opting for cloud-based solutions, and they almost always end up adopting them to some extent. While the increasing popularity of cloud services may be a significant factor in accelerating the adoption rate of cloud-based solutions, some individuals remain skeptical of migrating their applications to the cloud due to unfamiliar territory.
Introduced in 1991, Python has grown to become a versatile and reliable programming language for modern computing requirements. Python is a powerful language used in web development, data science, software prototype creation, and much more. One of the best qualities of this language is it’s easy to learn and uniform across many use-cases.
We are living in a time where a difference of a mere couple of seconds can make you lose your business to another company with a faster, more easily accessible web application. In such a highly competitive space, it is important to squeeze out the maximum amount of performance from your application’s software stack and hardware infrastructure.
Microservices, also known as microservices architecture, refers to a method of designing and developing software systems. Microservice architecture is becoming increasingly popular as developers create larger and more advanced apps. The goal is to help enterprises become more Agile, especially as they adopt a culture of continuous testing. Here are the basic features of microservices.
What are the most important database performance metrics, and how do you monitor them? This is a question many IT professionals would like the answer to. We can collect and use a wide range of database metrics to analyze database and server resource consumption, not to mention overall usage. You are probably wondering why this is essential for business, so let’s explore this next.
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.
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.
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.
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.
