Who would resist to learn Azure cloud and utilize free services that have been annnces this month?
Yes, you have read this correct, there are 4 more servics added to exisiting 25+ always free and 12 months set of free products, up to the monthly limits.
Those services are listed on the infographic:
✔️ Azure Key Vault ✔️ Azure Database for PostreSQL ✔️ Azure Media Services ✔️ Azure Database for MySQL
Have you used these new services in your labs or projects yet? If not, that is okay. Here is the brief description what you can do with these services listed above:
Azure Key Vault – helps teams to securely store and manage sensitive information such as keys, passwords, certificates, etc., in a centralized storage which are safeguarded by industry-standard algorithms, key lengths, and even hardware security modules.
Azure Database for PostreSQL – with Azure you can run your PostgreSQL Server workloads in a hosted virtual machine infrastructure as a service (IaaS) or as a hosted platform as a service (PaaS). The PaaS option has multiple deployment choices, each with multiple service tiers that you can use with Azure Database for PostreSQL.
Azure Database for MySQL – take the model tha we described above and apply it to MySQL. That how simple it is..
Azure Media Services – lets you deliver any media, on virtually any device, to anywhere in the world using the cloud. The collection of services provide encoding, live or on-demand streaming, content protection and indexing for video and audio content.
Which products are free for 12 months?
These products are free for 12 months, up to the monthly limits. Availability is based on resource and region.
Check out the details about each of these services on Microsoft Azure’s website.
This session will be a deep dive into different data movement scenarios using first-class tooling in Azure data echo-system and Azure Data Factory (ADF). We will learn about handy new features and data connectors, while copying and transforming datasets from a Data Lake and SQL Relational Database storages. Thus, tune in to learn about latest developments in Microsoft Azure data transformation services.
In my second session, I will share following journey with you:
Abstract of the upcoming session provided below 😉
We will learn about what is ETL and ELT stands for in data world, and how Azure Data Factory (ADF) service could help you. Along the way, we will look into inner-workings and fundamentals of a cloud-based ETL and data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale.
Finally, we will conclude the session with ADF demo and Q&A
Please let me know, what topics are you interested in?
By the way, check out the official CNCF definition (Cloud Native Computing Foundation) definition for clarity.
Cloud-native technologies empower organizations to build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds. Containers, service meshes, microservices, immutable infrastructure, and declarative APIs exemplify this approach.
These techniques enable loosely coupled systems that are resilient, manageable, and observable. Combined with robust automation, they allow engineers to make high-impact changes frequently and predictably with minimal toil.
I have been asked about free, online training resources. I have compiled, to my best knowledge, all recent training resources in this post. However, please feel free to add your comments (aka, 2 cents 💰) and extend this list together 🙂
All the training resources could be used by anyone around the glob 24/7. Note that few training resources are geared toward certain US state learning programs.
I truly hope, you could share these resources with your friends, who might be looking for affordable training, and prepare themselves for a better future.
It is usually hard to start a new initiative within a company due to a myriad of reasons. 🤔 Thus, this post will focus on how to follow some descriptive steps in starting a new Cloud Journey whereever you are in your life 🙂
Let’s check a simple approach 💡 below that could guide us on cloud ☁️ (AWS, Azure, GCP, Oracle Cloud) adoption journey 🗺
1️⃣ Step: Check on Team Alignment with cloud fundamentals ✔️ Every team member should have a basic understand of how specific cloud works ✔️ Portfolio of candidate workloads should be available to all team members to be used during strategic, release planning and completion of technical tasks ✔️ The technical strategy should include clarity on which levels of the hosting hierarchy will be used and what those terms mean in our business ✔️ A naming and tagging standard should be established, maintained, and enforced to guide implementation and resource organization ✔️ The hosting hierarchy should be reflected in a resource organization design (account or subscription design) ✔️ Align cloud capabilities, teams, and RACI structure to the fundamental concepts above
As an addition, what would you add into first checklist ? 🤔