AWS re:Invent 2021 highlights Part-II

Posted on January 21, 2022 by Aishwarya Joshi | Comments(9)

AWS re:Invent 2021 has come to a close, and all cloud enthusiasts now have a wealth of new tools in their cloud toolboxes. So far, in part-I of AWS re: Invent 2021, we have come across updates from services like Compute, Analytics, Architecture, and Databases. Let us continue our tour on new AWS services and exciting announcements from other services categories.

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A Beginner’s Guide To Kubernetes With Real-Time Example

Posted on January 21, 2022 by Anusha Shanbhag | Comments(0)

To understand Kubernetes, you need to know how applications are built-in real-time scenarios, various features, and benefits. Learning and understanding Kubernetes may seem to be hard but it is worth the pain. Kubernetes is a container orchestration or container management tool. It is also referred to as a container orchestration engine. It was developed by Google Labs and later it was donated to Cloud-Native Computer Foundation (CNCF). It is open-source and written with Golang. Kubernetes is also referred to as K8s because there are eight characters between K and S.

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Introduction To Containers on AWS

Posted on January 21, 2022 by Anil Reddy | Comments(0)

Containers and serverless computing are great technologies for application deployment in AWS. They help DevOps teams to deploy applications faster considering the cost-effectiveness. The features of containers and serverless architectures are the same in some aspects. Containers work better for some use cases and in some use cases, serverless is suitable.

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Integrating Azure Key Vault with Azure Function APP

Posted on January 21, 2022 by Shaik Munwar Basha | Comments(1)

There are various scenarios where Azure Functions can be utilized; there is a possibility for integrating them with Azure components. However, security measures should be taken during this process to ensure that the credentials are not hacked and stored in the right place. Therefore, Azure Key Vault is necessary to enhance data protection and compliance, boost performance and reduce the latency of the cloud applications.

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Amazon SES Using Thunderbird

Posted on January 19, 2022 by Daneshwari Mathapati | Comments(2)

Amazon Simple Email Service (SES) is a cost-effective, flexible, and scalable email service that enables developers to send mail from within any application. One can configure Amazon SES quickly to support several email use cases, including transactional, marketing, or mass email communications. Amazon SES sends email using SMTP, which is the most common email protocol on the internet. Let’s deep dive into how to use SES with Thunderbird in this post:

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How to Secure Cloud: Top 5 Strategies to Follow

Posted on January 19, 2022 by Sweta Kulkarni | Comments(0)

Have you ever wondered how all our lives have changed drastically with the advent of digital technologies? For businesses, digital transformation meant creating new or modifying existing business processes and permanently changing the way they engage with the customers. It has become imperative for businesses to modify their processes, introduce new hardware and software, train their employees, and, more importantly, implement cyber security approaches. But unfortunately, this also meant that the businesses were at elevated risk of cyber-attacks and security breaches. This post discusses 5 step approach to secure the cloud.

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Grant Access to User-Specific Folders in an Amazon S3 Bucket

Posted on January 13, 2022 by Md Shahid Afridi P | Comments(1)

Every organization has an information storage platform where many employees will be accessing various files stored in the AWS S3 service in the organization’s account. Sometimes, your organization wants to limit access to the S3 buckets from a particular IAM user. It can be done by adding a custom policy on IAM users without changing any bucket-level policies.

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Insights into AWS SageMaker Studio And Its popular features

Posted on January 13, 2022 by Sai Pratheek | Comments(3)

Artificial Intelligence (AI) and Machine Learning (ML) are two of the most popular technological terms in the twenty-first century. Although researchers first utilized them, many large corporations are now employing them to solve their business problems efficiently. Implementing machine learning models required a lot of physical computing resources with a lot of configurations before cloud computing, but now cloud providers like AWS, Azure, and Google Cloud Platform supply a lot of virtual resources for ML modeling.

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