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Author name: Hemal

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Information Technology with AI/ML

AI /

Information Technology with AI/ML | As humans, we have an inbuilt intelligence that we always use to make decisions in life. By default, machines are not intelligent and, they only do what we ask of them. The technique of simulating human intelligence in machines is known as artificial intelligence. Machine Learning is a subset of Artificial Intelligence. Its focus is to conduct studies through different patterns (ML predictive models) and output predictions or answers without human interference. ML requires data through which it can create these models that can help in predictions. The bigger the pool of data is, the more accurate prediction. AI/ML is being used to monitor and effectively manage complex systems with ease. AI/ML is proving to be a game-changer for the IT industry in many ways: How does Google use AI to dominate the search industry? Google is using artificial intelligence to help its system understand and learn. Google uses AI to make the results more accurate for each user, which provides a better user experience. Google has always focused on returning the best search results for each user. Besides using artificial intelligence for their algorithms, Google is using the technology for self-driving cars too. The goal of a self-driving car system is to analyse the road ahead of them and make decisions in advance by learning from past experiences. The more experiences the self-driving cars gather, the more sophisticated they become to safeguard the people residing in the vehicle and others in the outside world. Google uses AI to help power its assistant on smartphones. Google uses the technology to determine locations a person typically goes to or eats. Google also pulls in information from different events and emails to show people information they might want to see. Google’s assistant learns over time about the user to help them find the information they are looking for as soon as possible.

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AWS

Cloud Wars | AWS vs. Azure vs. Google Cloud

AWS, Cloud /

Cloud wars | Cloud Computing has transformed businesses. Complex tasks are now easier to perform, and data processing is more efficient with Cloud. In 2021, Cloud integration has almost become a necessity to survive in this competitive environment. This article is all about the three biggest Cloud Service Providers that are dominating the Cloud Computing industry. AMAZON WEB SERVICES (AWS) Amazon started AWS in 2008 and currently, AWS is the world’s top cloud service provider. AWS offers a wide variety of services. You name the technology, and AWS will have a service supporting that technology. AWS has made running businesses on the cloud very convenient, so much so that you can use your smartphone to control your operations. AWS is currently the market leader in cloud services with a 33% market share well ahead of its competitors. AWS generated $46 billion in revenues in the year 2020. MICROSOFT AZURE Microsoft Azure is currently the second-largest player in the cloud service providing industry. Almost 90% of the Fortune 500 companies use Azure as their cloud computing platform. Azure supports multiple operating systems, programming languages, and frameworks. Using large-scale virtualization, Microsoft Azure can provide close to 600 services to its clients. Azure generated $59.5 billion in revenues in the year 2020. GOOGLE CLOUD PLATFORM (GCP) Coming in at the third position is the Google Cloud Platform. It is a competitor to Amazon AWS and Microsoft Azure in the cloud services industry. It offers the public cloud, G Suite, APIs, and enterprise versions for their popular operating systems Android and Chrome OS. Cloud services have seen massive growth in the last few years, and the same applies to the Google Cloud Platform. GCP-enabled services run on the same infrastructure which Google uses internally for its products like Gmail, YouTube, Google Search, etc. GCP generated $13 billion in revenues in the year 2020. Get started with AWS today. Contact TeamITServe today for help! If your enterprise needs experienced DevOps professionals, contact us at vic@teamitserve.com.

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top 3 cloud service provider

Top 3 Cloud Service Provider in 2021

Cloud /

COVID-19 pandemic and remote work have made Cloud Computing even more essential for enterprises. In this article, we will summaries the top 3 cloud providers & Best Cloud services in 2021. AMAZON WEB SERVICES (AWS) Best cloud service Amazon started AWS in 2008 and currently, AWS is the world’s top cloud service provider. AWS offers a wide variety of services. You name the technology, and AWS will have a service supporting that technology. AWS has made running businesses on the cloud very convenient, so much so that you can use your smartphone to control your operations. AWS is currently the market leader in cloud services with a 33% market share well ahead of its competitors. AWS generated $46 billion in revenues in the year 2020. BEST CLOUD SERVICES MICROSOFT AZURE Microsoft Azure is currently the second-largest player in the cloud service providing industry. Almost 90% of the Fortune 500 companies use Azure as their cloud computing platform. Azure supports multiple operating systems, programming languages, and frameworks. Using large-scale virtualization, Microsoft Azure can provide close to 600 services to its clients. Azure generated $59.5 billion in revenues in the year 2020. BEST CLOUD SERVICES GOOGLE CLOUD PLATFORM (GCP) Coming in at the third position is the Google Cloud Platform. It is a competitor to Amazon AWS and Microsoft Azure in the cloud services industry. It offers the public cloud, G Suite, APIs, and enterprise versions for their popular operating systems Android and Chrome OS. Cloud services have seen massive growth in the last few years, and the same applies to the Google Cloud Platform. GCP-enabled services run on the same infrastructure which Google uses internally for its products like Gmail, YouTube, Google Search, etc. GCP generated $13 billion in revenues in the year 2020. Get started with AWS today. Contact TeamITServe today for help! If your company needs experienced DevOps professionals, contact us at vic@teamitserve.com.

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On Demand Cloud vs Scalable Cloud

Cloud /

On Demand Cloud,” “Scalable Cloud,” “Cloud Services Explore the differences between on demand cloud and scalable cloud services to make the best choice for your business. Learn about flexibility, cost, and performance Cloud Hosting can be considered to be a highly effective and scalable offerings for an IT environment. Since small and mid-size businesses cannot (usually) afford to invest in a dedicated server, the Cloud can prove to be a perfect choice due to the fact that it can be offered at a pro-rata basis. One can also consider Cloud to offer a virtually unlimited solution for your website requirements and allow your business website to grow with time and without the worry of exhausting the server resources. Number of companies have plunged into offering a comprehensive approach which includes infrastructure, platform, and productivity capabilities, as well as the option to choose public cloud, private cloud, or both i.e., the Hybrid Cloud. One of the most primary features of Cloud includes the pay-per-use, where users need to pay only for those resources that their website have actually used. Hence, offering you a perfect value for money. Cloud has brought a revolution in the economics status of small-medium businesses in IT. Before the evolution of cloud, there was an intensive capital investment that had to be done in the IT infrastructure. But, today for SME’s if we find a ratio of the IT costs and the ROI, it is observed that there has been convincing increase in the profit share. The basic reason is that, you only have to pay for whatever you use, hence depleting the need for investing in the infrastructure and the resources that you aren’t actually using, which led to the waste of investment costs. Due to the shared structure of Cloud, it has evolved as one of the highly used and recommended solutions for businesses. Due to the offering with the Cloud, it is now possible for enterprises to use high quality hardware and other resources which previously could be borne only by the large businesses and enterprises. Most importantly all this can be availed at fairly negligible price. A business of almost any size can access the IT resources at affordable web hosting charges. With a quality IT resource working as a backbone, enterprises can take chances of entering new markets, acknowledge and server the changing customer requirements, create and offer value added services, at the same time achieve a cost-effective strategy. Need help with Cloud? Contact the TeamITServe team today.

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devops

How TeamITServe helps deploy DevOps?

DevOps /

DevOps is an environment where developer and operations work together throughout the entire service lifecycle, from designing and development to product support. DevOps has become essential for growth and survival, but protecting the software delivery and deployment pipeline has become more critical than ever before. DevOps has now become more important than ever before. The outcomes achieved with the correct implementation of DevOps are: TeamITServe’s DevOps consulting service enables organizations to integrate the methodologies of their development and operations teams. It helps the organization to turn out quicker software releases and deploy them more frequently and continuously. Continuous Business Planning: This includes the identification of the skills, outcomes, and resources needed. Collaborative Development: Collaborative development starts with the development sketch plan and programming. Continuous Release and Deployment: Continuous release and deployment help minimize the lead time and cycle time (right from writing code and deployment until production). TeamITServe Follows the Standard 6C DevOps Practices. Consult the TeamITServe team today for help. If you are looking for experienced DevOps professionals for your organization, contact us at vic@teamitserve.com.

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Why is DevOps important for your organization?

DevOps /

Traditionally, the developers and operations have functioned in siloes to create and operate a service. It affects the agility of the organization, which can prove to be disastrous in the competitive environment we are witnessing today. DevOps helps solve these problems effectively and efficiently. When developers and operations collaborate to create a service, the results are exceptional.  DevOps makes the development cycle faster. Automation tools like Ansible, Jenkins, maven, puppet help reduce the latency and friction in the development cycle. The exchange of complaints and suggestions happens almost instantly. Operations can effectively guide developers for what is needed and, developers can be part of the deployment process. This collaboration not only ensures a free flow of information but also reduces conflicts. The result is more polished software and faster updates. DevOps ultimately results in low cost of production and time consumption. The outcomes achieved with the correct implementation of DevOps are: DevOps is the answer to all the complexities of the application development process. Consult the TeamITServe team today for help. If you are looking for experienced DevOps professionals for your organization, contact us at vic@teamitserve.com

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Important DevOps Practices

DevOps /

Many corporations suffer due to a time-consuming product development cycle, slow response times, low-profit margins, and low agility in operations. DevOps is an environment where the developer and operations team within an organization work in collaboration with each other for the product development and support cycle. DevOps helps organizations overcome these issues with the use of specific principles and processes. The outcomes achieved with the correct implementation of DevOps are: DevOps is the answer to all the complexities of the application development process. Here are some of the best practices to adopt for DevOps Development: Consult the TeamITServe’s team today for help. If you are looking for experienced DevOps professionals for your organization, contact us at vic@teamitserve.com

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mining

Bitcoin Mining v/s Bitcoin Buying, What is more Profitable?

Bitcoin /

Bitcoin mining, while highly competitive, is a highly lucrative industry. With the advanced ASICs machines and intuitive mining software, miners can not only cover the initial costs of the equipment in a single year but also earn a significant profit. The popularity of Bitcoin mining has grown hand-in-hand with the acceptance of cryptocurrencies. Bitcoin mining uses ASIC computing power to solve complex equations, which earn the miners a reward in the cryptocurrencies. The evolution of DeFi technology has made Bitcoin mining more lucrative.  Here are few reasons why Bitcoin mining is more lucrative than buying. Money Money is undoubtedly the biggest lure for crypto investors. Cryptocurrency promises great rewards by holding and leveraging Bitcoin to grow more returns. However, considering 1 Bitcoin costs over $60,000, it might be unaffordable for maximum investors. Here’s where Bitcoin mining comes into play as users can not only earn their equipment cost in a year but also earn more Bitcoins over the year. Bitcoin mining is adaptive and will not harm the miners during fluctuations. If the price of Bitcoin drops or increases, Miners can switch between different currencies to adjust their profits. In contrast, the person who purchases a Bitcoin might face loss if the Bitcoin’s price drops.  Diversity Bitcoin, while being the most significant player in the cryptocurrency world, is not the only one. The Crypto market is unpredictable and is prone to severe fluctuations. In the past, several times, the price of Bitcoin dropped, unfortunately, and users had to switch to Ethereum. While switching from one cryptocurrency to another is easy for miners, it might not be as profitable for people buying the token. They might have to cut their losses and trade them for lower values, and face significant losses. Mining platforms can automatically shift the pool from one token to another, adjusting to the fluctuations and prevent any losses for miners. Safety There have been several cases where even the best crypto wallets were hacked, and users ended up losing their crypto assets. While holding assets in a digital wallet is risky, storing them in cold storage is not. The majority of mining platforms store their user’s crypto assets in cold storage, making them inaccessible to hackers. Conclusion Purchasing Bitcoin is not everyone’s cup of tea anymore, but that should not stop you from investing. Bitcoin mining is a more beneficial way of earning tokens without any risks, as stated above.

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How to Implement DevSecOps?

DevOps /

DevSecOps (Developer + Security + Operations) is a movement created to facilitate collaboration between IT security and operations teams and integrate the technology and processes they use to keep systems and data secure — all in an effort to reduce risk and improve business agility. Importance of DevSecOps In recent years, we have seen that cyber-attacks have increased many folds, and even the most prepared organizations can’t deny the risk of undergoing a cyber-attack. It came into notice in the past few days that zero-day attacks compromised more than 65% of the total attacks, and the threats to cloud-based applications have significantly increased, which were previously negligible as more organizations are shifting towards cloud environments. Incorporating security is essential to the DevOps process as security can no longer be neglected or underestimated. Further, this increased level of threat has given rise to DevSecOps. The Steps to Implement DevSecOps: Need help? Contact the TeamITServe team today. If you are looking for experienced DevOps professionals for your organization, contact us at vic@teamitserve.com

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AWS LAMBDA Setup Process with S3 Bucket

AWS /

An articles on AWS Lambda setup process 2. Then click on create role and choose AWS service and in common use case u will see lambda select it and click on next: permissions. 3. Now we have to create a policy for DynamoDB. For this session I am taking DynamoDB full access and click on next. 4. Now in the next tab you can give tags. 5. After this enter the name for your role and click on create role. 6. Once a role is created now go to lambda in AWS services compute section. 7. Now first we need to create a function click on create function. 8. Now we have 3 options to create a function. I am choosing the Author from scratch option. 9. Now here we need to give our lambda name and runtime language in which we want to create our lambda. Also select the role which we created earlier and click on the create function. 10. Once lambda is created successfully you will receive a success message on the next window. 11. Now we need to add a python code in a function code section. import boto3 from uuid import uuid4 def lambda_handler(event, context):     s3 = boto3.client(“s3”)     dynamodb = boto3.resource(‘dynamodb’)     for record in event[‘Records’]:         bucket_name = record[‘s3’][‘bucket’][‘name’]         object_key = record[‘s3’][‘object’][‘key’]         size = record[‘s3’][‘object’].get(‘size’, -1)         event_name = record [‘eventName’]         event_time = record[‘eventTime’]         dynamoTable = dynamodb.Table(‘newtable’)         dynamoTable.put_item(             Item={‘unique’: str(uuid4()), ‘Bucket’: bucket_name, ‘Object’: object_key,’Size’: size, ‘Event’: event_name, ‘EventTime’: event_time}) 12. Rest of the settings you can choose default and click on deploy. 13. Now we have to add a trigger for this first we need to create a bucket .So go to S3 and create a bucket and allow public access of bucket. 14. Now go back to lambda and click on add trigger and choose S3. 15. Now select bucket name and event type as all object create events and click on Add. 16. Now on the next window it is visible to you that a bucket is added as a trigger. 17. Now we need to create a DynamoDB table so go to AWS services and create a DynamoDB table. 18. Now create a DynamoDB table by clicking create table and fill all the details like table name and primary key same as you used in your function code then click on create. 19. 20. Now check in items columns you will not find any entries. 21. Now go back to the s3 bucket and upload a file in your s3 bucket. 22. Once you upload a file go and check in the DynamoDB table you will find an entry of that image in the table. 23. In the DynamoDB table you will find all the entries related to uploaded file like file name, date & time etc. If you need help in configuring this cluster, feel free to email us vic@teamitserve.com or call us at +1 810 214 2572.

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