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AWS is helping to power a cloud-based platform for Tech Mahindra in 2023

New Delhi – March 1st, 2023 – 

About Tech Mahindra

Tech Mahindra offers innovative and customer-centric digital experiences, enabling enterprises, associates, and society to rise. We are a USD 5.1 billion organization with 145,000+ professionals across 90 countries helping 1191 global customers, including Fortune 500 companies. We are focused on leveraging next-generation technologies including 5G, Blockchain, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, to enable end-to-end digital transformation for global customers. Tech Mahindra is the only Indian company in the world to receive the HRH The Prince of Wales’ Terra Carta Seal for its commitment to creating a sustainable future. We are the fastest growing brand in ‘brand strength’ and amongst the top 7 IT brands globally. With the NXT.NOWTM framework, Tech Mahindra aims to enhance ‘Human Centric Experience’ for our ecosystem and drive collaborative disruption with synergies arising from a robust portfolio of companies. Tech Mahindra aims at delivering tomorrow’s experiences today, and believes that the ‘Future is Now’. We are part of the Mahindra Group, founded in 1945, one of the largest and most admired multinational federations of companies with 260,000 employees in over 100 countries. It enjoys a leadership position in farm equipment, utility vehicles, information technology, and financial services in India and is the world’s largest tractor company by volume. It has a strong presence in renewable energy, agriculture, logistics, hospitality, and real estate. The Mahindra Group has a clear focus on leading ESG globally, enabling rural prosperity and enhancing urban living, with a goal to drive positive change in the lives of communities and stakeholders to enable them to Rise.

New Delhi – March 1, 2023 – Tech Mahindra , a leading provider of digital transformation, consulting, and business re-engineering services and solutions, has signed a multi-year Strategic Collaboration Agreement with Amazon Web Services (AWS) to help power its cloud-based software-driven platform, chúng tôi chúng tôi is an automation and intelligent managed services platform based on cloud-native principles that help carriers achieve business outcomes by reducing the time to market and enabling new revenue streams with 5G. Communication Service Providers (CSPs) across the globe are moving towards 5G transformation and preparing to roll out 5G networks. Tech Mahindra’s chúng tôi is designed to accelerate 5G network adoption, by automating the network life cycle of certified and benchmarked network functions. With chúng tôi CSPs can reduce the total cost of operations and accelerate network cloud transformation on AWS. Manish Mangal, Global Business Head, 5G & Network Services, Tech Mahindra, said, “Carriers globally are deploying cloud-native 5G networks that are driving the significant transformation of existing network infrastructure and operations support tools. chúng tôi provides a seamless approach for such transformation journeys. Our collaboration with AWS will accelerate the journey to the networks of the future”. Tech Mahindra is an AWS Premier Partner with a comprehensive set of capabilities to accelerate carriers and enterprises in their evolution towards 5G networks and services. Tech Mahindra is adept in practices that transform 5G networks, enabling customers to imagine, design, and execute their transformation. Adolfo Hernandez, Vice President, Global Telco Business Unit at AWS said “AWS is committed to accelerating Telco Network Transformation for our customers by building innovative cloud-native infrastructure solutions in 5G Core and RAN domains. We are excited to collaborate with Tech Mahindra to help our customers achieve their business objective of velocity, costs, and quality”Tech Mahindra offers innovative and customer-centric digital experiences, enabling enterprises, associates, and society to rise. We are a USD 5.1 billion organization with 145,000+ professionals across 90 countries helping 1191 global customers, including Fortune 500 companies. We are focused on leveraging next-generation technologies including 5G, Blockchain, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, to enable end-to-end digital transformation for global customers. Tech Mahindra is the only Indian company in the world to receive the HRH The Prince of Wales’ Terra Carta Seal for its commitment to creating a sustainable future. We are the fastest growing brand in ‘brand strength’ and amongst the top 7 IT brands globally. With the NXT.NOWframework, Tech Mahindra aims to enhance ‘Human Centric Experience’ for our ecosystem and drive collaborative disruption with synergies arising from a robust portfolio of companies. Tech Mahindra aims at delivering tomorrow’s experiences today, and believes that the ‘Future is Now’. We are part of the Mahindra Group, founded in 1945, one of the largest and most admired multinational federations of companies with 260,000 employees in over 100 countries. It enjoys a leadership position in farm equipment, utility vehicles, information technology, and financial services in India and is the world’s largest tractor company by volume. It has a strong presence in renewable energy, agriculture, logistics, hospitality, and real estate. The Mahindra Group has a clear focus on leading ESG globally, enabling rural prosperity and enhancing urban living, with a goal to drive positive change in the lives of communities and stakeholders to enable them to Rise.

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Five Uses For Surveillance Cameras

Having a surveillance camera installed is a common practice in homes and businesses alike. There is a lot of security provided when the area is being filmed, and this kind of protection is very valuable. Even if nothing suspicious occurs, it is reassuring when the area can be seen at all times. Being able to go back and review select footage is another benefit of having a camera set up in the area. Most incidents happen when they are least expected, so constantly having the cameras rolling will ensure that nothing is ever missed or overlooked.

1. Tracking Customers

When cameras are placed inside of a business, loss control can definitely become a focus. With valuable inventory in stock, it makes sense to want every available method of security that can be used to help. In case of theft or vandalism, the footage will capture it all. This can explain missing or damaged items and ensure the team is aware of how this might be happening or how others are attempting to make it happen.

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2. Inspecting Merchandise

3. Monitoring The Household 4. Automatically Deterring

5. Decision Assistance

In case a decision must be made regarding a suspicious situation or unlawful incident, reviewing the footage on a camera can make the process a lot easier. It can guide those facing this decision to make the best choice possible given the circumstances. This takes away a lot of the stress involved and can eliminate the feeling of being powerless. Taking back control of the area after something like this occurs is an important step to tightening up the security that is already in place. It can avoid much of the hassle and confusion because the actions are highlighted clearly in the footage already.

As the risks are constantly evolving, cameras set up for security purposes remain a timeless fixture. They are simple to install and operate, so the individual reviewing them will always have an idea of what is happening on the property. If an incident happens, there is also an easy way to select the relevant footage to report it to the right authorities. It is a small preventative investment that pays off over time. The peace of mind is unmatched when a security camera is installed.

Learn The Steps To Install Mariadb Aws

Introduction to MariaDB AWS

Hadoop, Data Science, Statistics & others

Thus, MariaDB is presented on Amazon AWS by means of MariaDB SkySQL, which is one of the options available for the database when consuming a MariaDB AMI on the platform Amazon EC2 or consuming Amazon’s RDS facility from the AWS Marketplace.

MariaDB SkySQL offers the server MariaDB having enterprise topographies for mission-critical jobs where the support is delivered by MariaDB directly. You can launch and start a MariaDB database in just minutes on AWS.

Working with MariaDB AWS

Being a customer of AWS, you will be aided from AWS data centres and also a network architected to secure your individualities, evidence, procedures and claims.

With the help of this AWS, users can progress the capability to come across primary security and agreement necessities like safeguard, data locality and privacy using our inclusive features and amenities.

Here, you need to recompense only for the facilities which a user uses, allowing systematizing physical security jobs so that one can swing emphasis to scale and renovate the business.

Using Amazon RDS, users can organize accessible MariaDB cloud databases with budget proficient and resizable hardware capability in just minutes. Since hundreds of thousands of users is accumulated in the cloud, suppliers like AWS can attain greater cost-cutting of scale that interprets into minor wage as-you-go fees.

Key features of MariaDB AWS

Amazon RDS creates it tranquil to configure, control and measure server MariaDB distributions in the cloud.

Trade capital cost for variable cost – You can pay for the computing assets you operate only, not to finance seriously in data hubs and servers before consuming them.

AWS empowers users to choose the operating system, web application platform, programming language, along with other services they require. This AWS provides a virtual environment which allows the user to load the software and amenities your application needs.

Amazon RDS provisions MariaDB server with versions 10.5, 10.4, 10.2 and 10.2 which means the script, tools and claims user already implement currently can be applied with Amazon RDS.

Provides Automated Management including Pre-configured parameters for the database; monitoring and metrics to observe key operational metrics for DB instance deployments, utilization of memory, compute, storage, capacity with DB Instance and I/O activity connections; confirm DB Event Notifications; automatic software patching to confirm that MariaDB software that is fueling database is latest one.

Offers quick and expectable performance including General Purpose storage (SSD) delivering a stable standard of 3 IOPS per established GB and further gives the capacity to erupt up to 3000 IOPS; Provisioned IOPS (SSD) delivers up to 64TB storage along with 80000 IOPS per MariaDB database instance.

Providing Backup and Recovery comprising automated backup of database records and transaction logs which is by default turned on; DB Snapshots to create backups of DB Instance that is user-initiated.

Offers Push-button scaling that includes Storage and IOPS with extra storage with zero downtime on the fly; Database Instance Class scaling the compute and resources for memory enabling the distribution up or down.

Delivers Replication consisting of Multi-AZ Deployments for improved availability and durability for Database Instances; Read Replicas that create it simple to elastically rule out afar the ability constraints of only DB Instance for database jobs with read-heavy type.

Providing Isolation and security including encrypting the MariaDB database by means of keys that accomplishes with the AWS KMS(Key Management Service); can segregate DB Instances in our own virtual network along with concerning to current IT infrastructure through industry-standard encoded IPSec VPN.

Steps to deploy MariaDB AWS

Let us explore the steps to install MariaDB AWS on AWS RDS by the users:

Installing MariaDB AWS by logging in to the AWS account or creating a new account. After that go to the AWS Management Console.

You will find the Database section available in the AWS Management Console where choose RDS that will expose the AWS RDS Console.

Next, you need to choose the region intending to make the AWS MariaDB instance in, accessible from the upper right corner side of AWS RDS Console.

Beneath the initial section, one can select the options Easy Create or Standard Create. Choosing the option first option with Easy Create, AWS will configure all settings related to Security, Backups and so on automatically, whereas selecting the next option Create Database, the user need to create all these set ups manually.

Again beneath the section Engine Options, choose the AWS MariaDB and also the section Version where you can choose the current version or another one on the basis of necessities. Lastly, beneath the section Templates, the user can select to develop a Production Instance by choosing option Production as any template, choosing Dev/Test Instance for a Development environment or if anyone wants to gain knowledge about how MariaDB AWS operates or test prevailing an application, you can choose the template Free Tier. The ultimate rating depends on the type of instance the user makes.

Insert an appropriate DB Instance Identifier, having Master Username along with Password working for MariaDB AWS instance.

Depending on the necessities, choose an appropriate DB Instance Size class. One may find a supported instance classes list with their pricing here.

To assign space, choose the Storage Type beneath the section Storage and also confirm Auto Scaling is enabled.

Next, choose the option Security and Connectivity confirming the allowance of Public Access.

On AWS now the MariaDB Instance will be launched in few moments then you can view the complete facts on the button View DB Instance Details.

After this, you require to set up an SQL client on a local system which will connect to MariaDB AWS.

Configure MySQL Workbench on the local system to launch it.

There appears a dialog box querying info on the database to be connected.

There creates a connection between an instance of MariaDB AWS and MySQL Workbench. Thus, now queries can be executed on this.

Conclusion

On Amazon AWS, cloud database service is accessible using MariaDB SkySQL.

Through MariaDB AWS one can optimize business value – minimizing costs and enhance quickness, resilience and efficiency.

MariaDB AWS also reveals development prospects, invent sooner and create superior judgments with security obedience – storing, classifying and exploring your entire data in a single, integrated warehouse firmly.

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This is a guide to MariaDB AWS. Here we discuss the steps to install MariaDB AWS on AWS RDS by the users in detail. You may also have a look at the following articles to learn more –

Uses And Examples Of Cash Equivalents

Definition of Cash Equivalents

Cash equivalents are those short-term investment securities that are highly liquid, i.e., which can be easily converted into cash. They generally have a maturity period of 90 days or less and do not have any restrictions attached to them, which makes it easy to convert them into cash in a shorter period. They usually carry a low level of risk and high credit quality.

Explanation

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Examples of Cash Equivalents

Here are some examples :

Commercial Papers: Large corporations issue a bearer instrument or promissory note to satisfy their immediate liabilities.

Treasury Bills: Treasury bills or T- bills are generally government securities. Once the government pays the full maturity amount for the mature securities, they normally offer no interest but are issued at a discount.

Certificate of Deposit: Banks offer certificates of deposit (CDs) to raise money from the secondary market. CDs have a fixed interest rate and a set maturity time.

Marketable Securities: These products are exchanged on a public exchange and include both equity and debt. They are regarded as cash equivalents since their pricing is readily available on the open market.

Other Money Market Instruments: Apart from the above, there are other money market instruments as well, such as bankers’ acceptances, bills of exchange, repurchase agreements, short-lived mortgages, asset-backed securities, etc.

What Does Not Belong in Cash Equivalents?

The concept behind cash equivalents is that there shouldn’t be any restrictions on the particular investment instrument and that it can be easily converted into cash.

Another exception is inventory, a current asset that cannot be readily converted into cash in a general market scenario.

Uses of Cash Equivalents

These have a number of uses, as follows:

They can be applied to short-term obligations of the company, including account payables.

They can be used to make purchases such as operating costs, inventory, and other items.

They indicate the liquidity position of the company. The higher the cash equivalent, the higher the liquidity.

They help in the financing of acquisitions.

Advantages

The company often invests to earn interest on the funds until they do not need them.

They are highly liquid, and thus, they can be easily converted into cash at a time of need.

Sometimes it helps in financing acquisitions of the company.

In a way, it is a loss of revenue. Suppose a company invested more cash equivalents than necessary due to market conditions or other reasons. It would undoubtedly result in a loss of income because the company would have earned a higher rate of interest if it had invested the money somewhere else.

They generally have a lower rate of return, and they need help to keep up with the inflation rate.

Conclusion

It is clear from the above discussion that cash equivalents are an integral part of the company’s current assets and working capital. It helps maintain liquidity, meet operating expenses, and pay off short-term debts. The amount of cash equivalent on the balance sheet provides information regarding the company’s operating strategy. It differs and depends on the industry the company is operating in and its growth stage and strategy.

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U.s. Continues To Shed Tech Jobs

While there are signs of an improving economy, including better profits margins for technology companies, the job trend in the technology sector remains grim.

Nearly 750,000, close to 13 percent of all high-tech jobs in the United States have been lost over the past two years, according to data today released by the American Electronics Association (AEA).

While the losses are slowing, the statistics tell another story. The U.S. high-tech sector lost close to 540,000 jobs in 2002, and another 234,000 jobs in 2003. In 2001, there were 6.5 million high-tech jobs in the United States. By the end of 2003 that number is expected to be close to 5.76 million.

While many companies have cut positions, either to improve profitability or because of consolidation, there are concerns that many U.S. tech jobs are disappearing permanently. Many U.S. companies are signing IT outsourcing contracts in India, China, Russia and in other countries where there is skilled, inexpensive labor.

Several U.S. states reliant on technology jobs have been particularly hard hit. California lost 123,000 tech jobs in 2002, an 11 percent slip in the total number of tech employees in the state. Texas also lost about the same percentage in 2002 to job cuts, followed by New York, Florida and Massachusetts.

The District of Columbia, Wyoming and Montana were the only three states to add tech jobs between 2001 and 2002, while Colorado led the nation in concentration of high-tech workers in 2002, with 98 high tech jobs per 1,000 private sector jobs, followed by Massachusetts, Virginia, New Mexico and Maryland.

The AEA’s “Cyberstates 2003” reports defines tech jobs as those in the electronics manufacturing, communications services, software and engineering/tech services.

The report goes on to say that high-tech manufacturing employment fell 13 percent, losing 233,000 jobs between 2001 and 2002. Manufacturing job losses between 2001 and 2002 were highest in the electronics components sector with 76,000 lost. Communications equipment lost 47,000 jobs and semiconductor companies shed 41,000 manufacturing jobs. The communications services and software sectors lost 146,000 jobs each, while 15,000 engineering and tech services were shed. On the other side, in 2002, 7,000 research and development and testing labs jobs were added.

On the heels of the AEA report, the Information Technology Association of America, issued a statement aimed at allaying concerns that U.S. tech jobs are increasingly migrating overseas. ITAA said not more than 7 percent to 9 percent of all IT jobs will move out of the United States over the next 10 to 15 years.

While IT spending has risen, it’s not clear when that investment will translate into jobs. The U.S. Department of Commerce said IT spending in September rose 15.4 percent over August, after months of flat spending.

The AEA’s report also detailed U.S. technology exports and venture capital investments, both of which slid in 2002. U.S. high-tech exports dropped 12 percent to $166 billion in 2002 from $188 billion in 2001. High-tech exports constituted 24 percent of all U.S. exports in 2002.

The report added that U.S. high-tech venture capital investments amounted to $13 billion in 2002, a 52 percent drop from the $27 billion invested in 2001.

Aws Lambda – Function In Python

AWS Lambda – Function in Python

In this chapter, we will create a simple AWS Lambda function in Python and understand its working concepts following detail.

Before proceeding to work on creating a Lambda function in AWS, we need AWS toolkit support for Python. For this purpose, follow the steps given below and observe the corresponding screenshots attached −

Step 1

Login to AWS console and create Lambda function and select the language as Python.

Step 2 Step 3

Now, save the changes and the test the code to see the output. You should see the following output and logs when you test it in AWS console using the test button from the UI.

Step 4

Now, you can write code inside any editor or an IDE for Python. Here, we are using visual studio code for writing the code. You should later zip the file and upload in AWS console.

Here, we have zipped the code and using it AWS console.

Step 5

Now, select Upload a .ZIP file option as shown below −

Handler Details for Python

Note that the handler has to be name of the file followed by name of the function. In the above case, our file name is chúng tôi and name of the function is my_handler; so the handler will be hellopython.my_handler.

Once the upload is done and changes are saved, it actually shows the details of the zip file in the online editor in AWS Lambda console. Now, let us test the code to see the output and logs.

Now, let us understand the details of the Lambda function using the following sample code −

def my_handler(event, context): return "aws lambda in python using zip file"

In the above code, the function name my_handler is having 2 params, event and context.

Context Object in Python

Context object gives details like the name of the Lambda function, time remaining in milliseconds, request id, cloud watch group name, timeout details etc.

The methods and attributes available on context object are shown in the tables given below −

Sr.No Method Name & Description

1

get_remaining_time_in_millis()

This method gives the remaining time in milliseconds until the lambda function terminates the function

Sr.No Attribute & Description

1

function_name

This gives aws lambda function name

2

function_version

This gives the version of aws lambda function executing

3

invoked_function_arn

This will gives ARN details.

4

memory_limit_in_mb

This shows the memory limit added while creating lambda function

5

aws_request_id

This gives the aws request id.

6

og_group_name

This will give the name of the cloudwatch group name

7

log_stream_name

This will give the name of the cloudwatch log stream name where the logs are written.

8

identity

This will give details about amazon cognito identity provider when used with aws mobile sdk. Details given are as follows −

identity.cognito_identity_id

identity.cognito_identity_pool_id

9

client_context

This will details of the client application when used with aws mobile sdk. The details given are as follows −

client_context.client.installation_id

client_context.client.app_title

client_context.client.app_version_name

client_context.client.app_version_code

client_context.client.app_package_name

client_context.custom – it has dict of custom values from the mobile client app

client_context.env – it has dict of environment details from the AWS Mobile SDK

Let us see a working example in Python which outputs the context details. Observe the code given below −

def my_handler(event, context): print("Log stream name:", context.log_stream_name) print("Log group name:", context.log_group_name) print("Request ID:",context.aws_request_id) print("Mem. limits(MB):", context.memory_limit_in_mb) print("Time remaining (MS):", context.get_remaining_time_in_millis()) return "aws lambda in python using zip file"

The corresponding output of the code shown above is given below −

Logging using Python

To log info using Python, we can use print or logger function available. Let us use the above example of context and check inCloudWatch to see if the logs are printed. Observe the following code −

def my_handler(event, context): print("Log stream name:", context.log_stream_name) print("Log group name:", context.log_group_name) print("Request ID:",context.aws_request_id) print("Mem. limits(MB):", context.memory_limit_in_mb) print("Time remaining (MS):", context.get_remaining_time_in_millis()) return "aws lambda in python using zip file"

The output of this code in CloudWatch is as shown below −

Observe the following example to understand about using logger to print logs to CloudWatch −

import logging logger = logging.getLogger() logger.setLevel(logging.INFO) def my_handler(event, context): logger.info('Using logger to print messages to cloudwatch logs') return "aws lambda in python using zip file"

The output for this will be as shown in the screenshot given below −

Error Handling in Python for Lambda function

In this section, let us see a working example which shows how to handler errors in Python. Observe the piece of code given here −

def error_handler(event, context): raise Exception('Error Occured!')

The log display is as shown in the image here −

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