Featured Post

15 Python Tips : How to Write Code Effectively

-
Image
 Here are some Python tips to keep in mind that will help you write clean, efficient, and bug-free code.     Python Tips for Effective Coding 1. Code Readability and PEP 8  Always aim for clean and readable code by following PEP 8 guidelines.  Use meaningful variable names, avoid excessively long lines (stick to 79 characters), and organize imports properly. 2. Use List Comprehensions List comprehensions are concise and often faster than regular for-loops. Example: squares = [x**2 for x in range(10)] instead of creating an empty list and appending each square value. 3. Take Advantage of Python’s Built-in Libraries  Libraries like itertools, collections, math, and datetime provide powerful functions and data structures that can simplify your code.   For example, collections.Counter can quickly count elements in a list, and itertools.chain can flatten nested lists. 4. Use enumerate Instead of Range     When you need both the index and the value in a loop, enumerate is a more Pyth
Post a Comment

AWS Vs Azure Load Balancers Top Insights

-

In AWS, you have three types of load-balancers. In the case of Azure, you have only two load balancers. This post tells you the comparison between these two.


1. AWS Load Balancers:

  • Application Load balancer
  • Network Load balancer
  • Classic Load balancers.


a. Application Load Balancer


Balancing of HTTP and HTTPS traffic and provides advanced request routing targeted at the delivery of modern application architectures, including micro-services and containers. 


Operating at the individual request level (Layer 7), Application Load Balancer routes traffic to targets within Amazon Virtual Private Cloud (Amazon VPC) based on the content of the request.


b. Network Load Balancer


Network Load Balancer is best suited for load balancing of Transmission Control Protocol (TCP), User Datagram Protocol (UDP), and Transport Layer Security (TLS) traffic where extreme performance is required.


c. Classic Load Balancer


The Classic Load Balancer provides the basic load-balancing across multiple Amazon EC2 instances. 


It operates at both the request level and connection level. Classic Load Balancer the real use is for applications that build within the EC2-Classic network.


AWS vs Azure load balancers explained in this post for your quick reference.

2. Azure Load Balancers:


In the case of Azure load balancers, it has two types. And is needs many steps to make it workable:


  • Create an Azure load balancer
  • Create a load balancer health probe
  • Create load balancer traffic rules
  • Use the Custom Script Extension to create an IIS-site
  • Create virtual machines and attach them to a load balancer
  • View a load balancer in action
  • Add and remove VMs from a load-balancer


The Azure has two types of load balancers. Those are:

  • Public Load-Balancer.
  • Private( Internal) Load-balancer.


i. Public Load Balancer


A public load-balancer can provide outbound connections for virtual machines (VMs) inside your virtual network by translating their private IP-addresses to public IP-addresses. 


Public Load-Balancer's purpose is to load balance internet traffic to your VMs.


ii. Private Load Balancer


In the case of an internal (or private) load balancer, you need private IPs for the frontend only. 


The purpose of this is to load-balance the traffic inside a virtual network. It is true that accessing of frontend from an on-premises network is a hybrid scenario.


iii. Azure Load Balancer Features


  1. Load balancing of internal and external traffic.
  2. Connectivity of Azure virtual Machines.
  3. Security.


Related Posts

Comments

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

How to Fix datetime Import Error in Python Quickly

-
Image
Here's a quick resolution for import datetime Python error . The reason is your .py python script name and datetime  are the same. I'll show you how this error happens and its resolution.   Here's the Resolution for ImportError I've created a script called 'datetime.py.' to check whether the minute value is 'odd' or not. During the import of my python script, I got the import error cannot import name datetime. My Script: datetime.py My script's intention is to find whether the minute value is odd or not. Python Logic from datetime import datetime odds = [ 1 , 3 , 5 , 7 , 9 , 11 , 13 , 15 , 17 , 19 , 21 , 23 , 25 , 27 , 29 , 31 , 33 , 35 , 37 , 39 , 41 , 43 , 45 , 47 , 49 , 51 , 53 , 55 , 57 , 59 ] right_this_minute = datetime.today().minute if right_this_minute in odds: print ( "This minute seems a little odd." ) else : print ( "Not an odd minute." ) ImportError I have imported my datetime.py from Linux. It gives an error
Read more

SQL Query: 3 Methods for Calculating Cumulative SUM

-
Image
SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than or
Read more

Python placeholder '_' Perfect Way to Use it

-
Image
What is placeholder in Python? The purpose of it is to mask the variable that you don't want to use in a function. In python, y ou can call the underscore ( _ ) operator placeholder. Below, you'll find how to use single and double placeholders in a function. What is placeholder in python The purpose of placeholder in Python is to mask variables that you don't want to use in a function. So that your code will be readable. Moreover, in future, if you want to use those variables you can replace the placeholders with the names you want. In This Page You'll know in three steps how to use placeholder correctly. Creating a function Logic to use single placeholder Logic to use two placeholders 1. Creating a function. def function_that_returns_multiple_values(x):        return x*2, x*3, x+1        for i in range(0,5):             square, cube, added_one = function_that_returns_multiple_values(i)             print(square, cube) Here, in print, it returns two variables. I will s
Read more