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We're on the search for a talented Frontend Developer! Are you passionate about crafting beautiful and user-friendly web experiences and love tackling new challenges?
If yes, we would like to hear from you!
Head over to https://bizessence.com.au/jobs/frontend-developer/ and apply immediately!
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🚀 Exciting career opportunities await! Check out our current job openings: @followers
Scrum Master in WI
Project Manager in BR
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Job openings
Scrum Master
Project Manager
QA Manager
Data Engineer
Data Visualization Consultant
iOS Developer
Android Developer
.Net Developer
Java Developer
Infrastructure Architect
Automation Tester
Remote jobs
Partial remote jobs
Career opportunities
Software jobs
IT jobs
Employment opportunities
Job vacancies
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§Python - Scalability and Performance Considerations
1. Scaling Strategies:
- Definition: Scalability is the ability of a system to handle increased loads. Strategies include vertical scaling (adding more resources to a single server) and horizontal scaling (adding more servers).
- Practical Example: Setting up a load balancer to distribute incoming traffic to multiple servers for horizontal scaling.
```nginx
upstream backend {
server backend1.example.com;
server backend2.example.com;
}
server {
listen 80;
location / {
proxy_pass http://backend;
}
}
```
2. Caching Techniques:
- Definition: Caching involves storing frequently accessed data to reduce the need to retrieve it from the original source, improving response times.
- Practical Example: Implementing caching in a Python web application using Flask-Caching.
```python
from flask import Flask
from flask_caching import Cache
app = Flask(__name)
cache = Cache(app, config={'CACHE_TYPE': 'simple'})
@app.route('/')
@cache.cached(timeout=60)
def cached_route():
return 'This is a cached response.'
if __name__ == '__main__':
app.run()
```
3. Load Balancing and Clustering:
- Definition: Load balancers distribute incoming requests among multiple servers, while clustering involves a group of servers working together as a single system.
- Practical Example: Implementing load balancing and clustering for a Python application using Nginx and Gunicorn.
```nginx
upstream backend {
server backend1.example.com;
server backend2.example.com;
}
server {
listen 80;
location / {
proxy_pass http://backend;
}
}
```
4. Profiling and Monitoring:
- Definition: Profiling and monitoring tools are essential for identifying performance bottlenecks and monitoring system health.
- Practical Example: Using Python's `cProfile` module for performance profiling in a web application.
```python
import cProfile
def slow_function():
# Simulate a slow function
for _ in range(1000000):
_ = 1 + 1
if __name__ == '__main__':
profiler = cProfile.Profile()
profiler.enable()
slow_function()
profiler.disable()
profiler.print_stats(sort='cumtime')
```
5. Scaling for High Traffic:
- Definition: Preparing your application to handle high levels of traffic efficiently. This may include optimizing database queries, using content delivery networks (CDNs), and reducing unnecessary load.
- Practical Example: Using a CDN like Amazon CloudFront to serve static content for a web application.
These considerations and practical examples are crucial for ensuring your back-end can efficiently handle increased loads, providing a responsive and reliable user experience as your application scales.
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Calling all skilled Android POS Developers in Chennai!
If you are a wizard with an expertise in Java, Kotlin, and EMV payments, we want YOU. Let us pioneer the future of payment technology together.
Apply now and be part of something extraordinary!
Job Description - https://bizessence.com.au/jobs/android-pos-developer/
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If you're looking for a remote front-end developer job, this is the post for you. We've gathered the most popular jobs from top companies hiring for remote positions.
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We are looking for a Sr.Java Developer in Calgary with a minimum 5+ years of relevant experience on Microservice using JAVA SpringBoot
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