Amazon Web Services

What Are The Uses Of Amazon Glacier?

What Are The Uses Of Amazon Glacier?

Wondering about the possible uses of Amazon Glacier? Here we bring a detailed overview of the most common and important practical uses of Amazon Glacier. As the IT world is flourishing, Amazon Glacier is the cold ideal storage platform by AWS for taking care of the crucial inactive data that plays a vital role in helping the businesses thrive. Different types of data require different storage requirements. Along with that, such data needs to be accessible at all times as well. The businesses deal with many inactive data that need occasional retrieval without regular access. These static data files that […]

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What Is Amazon Glacier

What Is Amazon Glacier?

Amazon Glacier is considered as a cloud storage platform developed and launched by AWS with longer retrieval times. Under this, a developer is meant to use Amazon Glacier for the purpose of moving the less accessible data to archive storage for saving costs on storage. The database backups can also be moved by the developers for backing up the storage media to the cloud for long-term storage. Earlier, the companies used to pay a lot of money for data archiving. It is an important necessity within the data management operations of a company. The archiving solutions were available earlier at a

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What Is the Azure Equivalent of AWS Lambda?

What Is the Azure Equivalent of AWS Lambda?

Want to learn about the Azure function that is AWS Lambda equivalent? Read on to know and dive deep into the Azure equivalent of AWS Lambda. The most direct and relevant equivalent of AWS Lambda on Azure is Azure Automation. It is similar to that of Lambda in operations, except the only difference is in its running process. Azure Automation might not seem too much integrated as that of Lambda, but the model is somehow similar. To be clear, in both instances, you write scripts, and they are then called for execution. AWS Lambda launched its services back in 2014,

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AWS Lambda Documentation

Aws Lambda Documentation

AWS Lambda Documentation over the official website of AWS is highlighting the detailed explanations on the definitions, developer guide, API reference, and operations of Lambda. For beginners, it might be a complex journey of mastering the systematic composition of knowledge, practical implementations, and other aspects of the site. Therefore, this article is all about simplifying this journey of understanding and mastering AWS lambda with easy-to-understand conceptual definitions on different aspects under the AWS Lambda documentation. Follow onto this Lambda documentation article and elaborated sections below to get the fundamentals, basics, and in-depth knowledge of Lambda. Definition of AWS Lambda Before you can get into

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When Should You Use AWS Lambda?

When Should You Use AWS Lambda?

It is very important to learn about the AWS Lambda use cases if you want to implement AWS Lambda. In this article, you will learn about the uses of AWS Lambda for various purposes.  AWS Lambda is considered to be a proficient serverless computing service that allows you to run your code for managing servers and containers. The scaling under AWS Lambda is done automatically by measuring the work intensity integrated onto it. AWS Lambda is mostly used in pipelines and is also integrated for responding to the web requests. There are several use cases to AWS Lambda that define

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AWS Lambda Tutorial

AWS Lambda Tutorial

Aspiring to learn about AWS Lambda? Here we bring a comprehensive AWS Lambda tutorial that will make you a pro in AWS Lambda. AWS Lambda is a computing service that operates without any server for running the codes. Along with that, it also manages the associated computing resources for better functionality. AWS Lambda allows you to extend the functional integration to diverse AWS services by implementing custom logic. AWS Lambda has the potential to run the codes automatically for HTTP requests put up by the API gateway of Amazon and other multiple events. It also proposes required modifications to the

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AWS Lambda vs EC2

AWS Lambda vs EC2 – A Detailed Analysis

Amazon has proved its might in the field of offering diverse cloud services and has excelled in almost all scenarios to date. Amazon EC2 is considerably one of the most popular services brought up by Amazon. Moreover, it is considered one of the major parts of the cloud computing scenario of Amazon. Amazon EC2 came into play in 2006 and has gained immense popularity since then. But, along with that, AWS Lambda is also a popular service that came out in 2014 and is now walking side-to-side with EC2 in terms of popularity and adaptation. Read more about What is

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What is AWS Lambda

What is AWS Lambda?

AWS Lambda is a computing service that allows you to run the prepared codes without the necessity of managing or provisioning servers. Lambda is destined to run your code only when it is highly needed and further scales it automatically. AWS Lambda is chargeable, and it bills you for the compute time consumed by you and does not charge you anything while your code is stationary. AWS Lambda allows you to run the codes virtually for almost all types of applications and back-end services. The infrastructure of AWS Lambda upon which it runs your code is destined to give an

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AWS Kinesis Use Cases

Learn Aws Kinesis With Use Cases

Do you wish to know and learn the attributes of AWS Kinesis with use cases? If you are looking for data processing at a faster pace, then you should definitely be aware of this concept. Amazon Web Services Kinesis is a cloud-based service that is ideally scalable and managed for a large amount of real-time data processing every second. It is majestically built for real-time applications and is meant for developers to absorb and utilize numerable data from various sources without much hassle. The major purpose of AWS Kinesis is to obtain, store and process various data from different distributed streams.

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AWS Kinesis vs Apache Kafka

AWS Kinesis vs Kafka Apache

Both AWS Kinesis and Apache Kafka are data streaming services and are beyond commendable in their own race. But, your experience is solely dependent upon your needs or the use cases you are planning on implementing. There are instances where people consider AWS Kinesis as a rebranding service of Apache Kafka. It is not evidently true because both have different feature aspects of fulfilling the diverse needs of clients. Hence, this article is to briefly explain to you the core concepts out of Kinesis vs Kafka for better clarity upon how they are different from one another. Even though AWS Kinesis and Apache Kafka

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