Skip to main content

Dependency hell

Dependency hell is a negative situation that occurs when a software application is not able to access the additional programming it requires in order to work. In software development, additional programs that software requires are called dependencies. Sometimes known as JAR hell or class-path hell, dependency hell's common outcomes include software performing abnormally, bugs, errors messages when trying to run or install software, or the software ceasing to function. Many times, these software dependencies are developed by third parties.
The cause of dependency hell is varied, but it usually happens for one of four reasons:

1. The main software relies on a multitude of large software libraries, causing lengthy downloads and decreasing the portability of the software. Even if an application requires only a small portion of a large library, the whole library must be downloaded.
2. The main software creates a chain of dependencies, where the software relies on product A, but A relies on product B to function, and B needs product C to work properly.
3.  Conflicting programs that require different versions of software or libraries to work. Application X requires software FF version 2.0 to work, while application Y requires software FF version 2.5 to work, and both versions of FF cannot be installed at the same time.
4.  The software's requirements create circular dependencies. Application Y version 3.1 requires software EE. Software EE requires application W to work. Application W depends on software HH. And software HH relies on Application Y version 2.6.

These dependencies can be a major headache for users and software creators alike, hence
the hell designation. However, package managers and automated testing have incorporated
dependency checking tools to alleviate some of these dependency hells.

Advanced application development and deployment environments such immutable
infrastructures are a great means of avoiding these kinds of dependency problems and
uncontrolled change. The IT team can package and deploy an app in a self-contained
manner. When a change is made, the entire image is recreated and redeployed, not patched
in-place.

Comments

Post a Comment

Popular posts from this blog

Understanding the Evolution: AI, ML, Deep Learning, and Gen AI

In the ever-evolving landscape of artificial intelligence (AI) and machine learning (ML), one of the most intriguing advancements is the emergence of General AI (Gen AI). To grasp its significance, it's essential to first distinguish between these interconnected but distinct technologies. AI, ML, and Deep Learning: The Building Blocks Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. Machine Learning, a subset of AI, empowers machines to learn from data and improve over time without explicit programming. Deep Learning, a specialized subset of ML, involves neural networks with many layers (hence "deep"), capable of learning intricate patterns from vast amounts of data. Enter General AI (Gen AI): Unraveling the Next Frontier Unlike traditional AI systems that excel in specific tasks (narrow AI), General AI aims to replicate human cognitive abilities across various domains. I...
Post a Comment
Read more

Normalization of Database

Database Normalisation is a technique of organizing the data in the database. Normalization is a systematic approach of decomposing tables to eliminate data redundancy and undesirable characteristics like Insertion, Update and Deletion Anamolies. It is a multi-step process that puts data into tabular form by removing duplicated data from the relation tables. Normalization is used for mainly two purpose, Eliminating reduntant(useless) data. Ensuring data dependencies make sense i.e data is logically stored. Problem Without Normalization Without Normalization, it becomes difficult to handle and update the database, without facing data loss. Insertion, Updation and Deletion Anamolies are very frequent if Database is not Normalized. To understand these anomalies let us take an example of  Student  table. S_id S_Name S_Address Subject_opted 401 Adam Noida Bio 402 Alex Panipat Maths 403 Stuart Jammu Maths 404 Adam Noida Physics Updation Anamoly :  To upda...
Post a Comment
Read more

How to deal with a toxic working environment

Handling a toxic working environment can be challenging, but there are steps you can take to address the situation and improve your experience at work: Recognize the Signs : Identify the specific behaviors or situations that contribute to the toxicity in your workplace. This could include bullying, harassment, micromanagement, negativity, or lack of support from management. Maintain Boundaries : Set boundaries to protect your mental and emotional well-being. This may involve limiting interactions with toxic individuals, avoiding gossip or negative conversations, and prioritizing self-care outside of work. Seek Support : Reach out to trusted colleagues, friends, or family members for support and advice. Sharing your experiences with others can help you feel less isolated and provide perspective on the situation. Document Incidents : Keep a record of any incidents or behaviors that contribute to the toxic environment, including dates, times, and specific details. This documentation may b...
Post a Comment
Read more