Learn about using hybrid identities in Microsoft Azure in this 15-minute video tutorial with certified Azure expert Neeraj Kumar. You will acquire a solid understanding of how to set up and use hybrid identities in Azure, and how it can help you to simplify your organization's identity management while improving security.

Then check out some frequently asked questions about hybrid identities below the video.

Watch the video tutorial:

In this tutorial, Neeraj Kumar, a leading Azure certified technical trainer explains the fundamentals of Azure Active Directory to manage user identities across your organization.

Watch the 12-minute tutorial here, then read a few FAQs below.

In this tutorial, Neeraj Kumar, a leading Azure certified technical trainer explains Azure Service Endpoints, how to use it secure the connection between VMs and Azure services, control network traffic and improve security.

Watch the 15-minute tutorial here, then read a few FAQs below.

To become a Google Certified Associate Cloud Engineer, a candidate should be able to demonstrate the following skills:

• Understand and use core GCP services and tools.
• Design and develop cloud-based solutions using GCP.
• Deploy and manage applications on GCP.
• Maintain and monitor cloud-based solutions.
• Manage and analyze data on GCP.
• Understand and use GCP networking, security, and compliance features.
• Understand and use API's to manage GCP resources.
• Understand the economic and financial aspects of GCP.

The exam covers a wide range of topics, including Google Cloud Platform fundamentals, application development, application deployment and management, and data management and analysis. To prepare for the exam, you can study the official exam guide and take online courses or practice exams. You may also want to gain practical experience by working with Google Cloud Platform on a personal project or through your job.

In a two-part crash course, we covered a variety of topics, including cloud storage in GCP. Here are a few questions we answered.

Every company is a data company, whether it’s Google, Meta, or Amazon. Every MNC and startup is ready to pay millions of dollars just to acquire more data, protect the integrity of their data, and derive business strategies from it. Google Cloud has the most advanced data engineering and analysis tools to date. Clients often migrate to Google Cloud to leverage industry leading tools like BigQuery.

Before making business decisions from data, you should be very comfortable with the storage options that Google Cloud offers. To see a detailed overview of storage options, head over to the Google Cloud Documentation.

The Need for Microservices

In the early days of software development, applications were built using monolithic architecture, where the entire codebase was present in a single file. This architecture proved to be much more efficient when teams were small and an application had very few services, but it came at the cost of SPOF (Single Point of Failure).

As software development approaches evolved, architecture shifted to "microservices based application," where each function or service was maintained in a separate file. This new architecture came with a lot of benefits, such as scaling services dynamically and independently, and having a variety of tech stack in an application. All microservices communicate with one another using REST APIs.

So you’ve figured out which certification to pursue, but you’re still inspecting what the prerequisites are before jumping into the cloud. No worries, we have specially curated all the essential components required to build a strong foundation in Google Cloud.

Linux

Just like macOS and windows, Linux is also a type of operating system. Linux is built on UNIX (the origin of nearly all operating systems).