#Serverless

[simple-logic]

#PollTime

What cloud service runs code without servers?

A) Serverless ☁️

B) IaaS 🖥️

C) PaaS 🚀

D) SaaS 📊

Comments your answer below👇

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[josegremarquez]

Vercel: Tu escaparate al mundo para aplicaciones web

¿Qué es Vercel y por qué deberías usarlo? Vercel es una plataforma de desarrollo y despliegue que ha revolucionado la forma en que los desarrolladores comparten sus aplicaciones web. Pensada para ofrecer una experiencia de desarrollo fluida y un despliegue instantáneo, Vercel se ha convertido en una herramienta indispensable para muchos desarrolladores frontend. Como bien has mencionado, Vercel…

[connectinfo1999]

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[cruxcreations]

Serverless Architecture

A cloud-themed image shows developers coding on laptops in an open, server-free environment. Cloud icons and digital pipelines represent serverless deployment. The title hovers in the cloud visuals, and CruxCreations appears on a virtual server graphic.

[capitalnumbers]

Serverless Architecture for Scalable, Cost-Effective Web Apps

Serverless architecture helps businesses build web apps faster, cheaper, and without worrying about server maintenance. Cloud providers like AWS and Google Cloud take care of all the backend work, so developers can focus on writing code.

In this setup, apps scale automatically based on demand, and companies only pay for the actual usage, not idle time. This means less cost, better security, and quicker updates.

Popular tools include AWS Lambda, API Gateway, and Google Cloud Functions. These tools support tasks like running code, storing data, or building APIs - all without managing servers.

Use cases include mobile and web backends, real-time data processing, and scheduled jobs. Best practices include keeping code small, monitoring performance, and securing environments.

Overall, serverless makes building apps easier and more efficient. It’s ideal for growing businesses that want to stay fast, flexible, and budget-friendly.

[digitaleduskill]

Cost Optimization Strategies in Public Cloud

Businesses around the globe have embraced public cloud computing to gain flexibility, scalability, and faster innovation. While the cloud offers tremendous advantages, many organizations face an unexpected challenge: spiraling costs. Without careful planning, cloud expenses can quickly outpace expectations. That’s why cost optimization has become a critical component of cloud strategy.

Cost optimization doesn’t mean cutting essential services or sacrificing performance. It means using the right tools, best practices, and strategic planning to make the most of every dollar spent on the cloud. In this article, we explore proven strategies to reduce unnecessary spending while maintaining high availability and performance in a public cloud environment.

1. Right-Sizing Resources

Many businesses overprovision their cloud resources, thinking it's safer to allocate more computing power than needed. However, this leads to wasted spending. Right-sizing involves analyzing usage patterns and scaling down resources to match actual needs.

You can:

Use monitoring tools to analyze CPU and memory utilization

Adjust virtual machine sizes to suit workloads

Switch to serverless computing when possible, paying only for what you use

This strategy ensures optimal performance at the lowest cost.

2. Take Advantage of Reserved Instances

Most public cloud providers, including AWS, Azure, and Google Cloud, offer Reserved Instances (RIs) at discounted prices for long-term commitments. If your workload is predictable and long-term, reserving instances for one or three years can save up to 70% compared to on-demand pricing.

This is ideal for production environments, baseline services, and other non-variable workloads.

3. Auto-Scaling Based on Demand

Auto-scaling helps match computing resources with current demand. During off-peak hours, cloud services automatically scale down to reduce costs. When traffic spikes, resources scale up to maintain performance.

Implementing auto-scaling not only improves cost efficiency but also ensures reliability and customer satisfaction.

4. Delete Unused or Orphaned Resources

Cloud environments often accumulate unused resources—volumes, snapshots, IP addresses, or idle virtual machines. These resources continue to incur charges even when not in use.

Make it a regular practice to:

Audit and remove orphaned resources

Clean up unattached storage volumes

Delete old snapshots and unused databases

Cloud management tools can automate these audits, helping keep your environment lean and cost-effective.

5. Use Cost Monitoring and Alerting Tools

Every major public cloud provider offers native cost management tools:

AWS Cost Explorer

Azure Cost Management + Billing

Google Cloud Billing Reports

These tools help track spending in real time, break down costs by service, and identify usage trends. You can also set budgets and receive alerts when spending approaches limits, helping prevent surprise bills.

6. Implement Tagging for Cost Allocation

Properly tagging resources makes it easier to identify who is spending what within your organization. With tagging, you can allocate costs by:

Project

Department

Client

Environment (e.g., dev, test, prod)

This visibility empowers teams to take ownership of their cloud spending and look for optimization opportunities.

7. Move to Serverless and Managed Services

In many cases, serverless and managed services provide a more cost-efficient alternative to traditional infrastructure.

Consider using:

Azure Functions or AWS Lambda for event-driven applications

Cloud SQL or Azure SQL Database for managed relational databases

Firebase or App Engine for mobile and web backends

These services eliminate the need for server provisioning and maintenance while offering a pay-as-you-go pricing model.

8. Choose the Right Storage Class

Public cloud providers offer different storage classes based on access frequency:

Hot storage for frequently accessed data

Cool or infrequent access storage for less-used files

Archive storage for long-term, rarely accessed data

Storing data in the appropriate class ensures you don’t pay premium prices for data you seldom access.

9. Leverage Spot and Preemptible Instances

Spot instances (AWS) or preemptible VMs (Google Cloud) offer up to 90% savings compared to on-demand pricing. These instances are ideal for:

Batch processing

Testing environments

Fault-tolerant applications

Since these instances can be interrupted, they’re not suitable for every workload, but when used correctly, they can slash costs significantly.

10. Train Your Teams

Cost optimization isn’t just a technical task—it’s a cultural one. When developers, DevOps, and IT teams understand how cloud billing works, they make smarter decisions.

Regular training and workshops can:

Increase awareness of cost-effective architectures

Encourage the use of automation tools

Promote shared responsibility for cloud cost management

Final Thoughts

Public cloud computing offers unmatched agility and scalability, but without deliberate cost control, organizations can face financial inefficiencies. By right-sizing, leveraging automation, utilizing reserved instances, and fostering a cost-aware culture, companies can enjoy the full benefits of the cloud without overspending.

Cloud optimization is a continuous journey—not a one-time fix. Regular reviews and proactive planning will keep your cloud costs aligned with your business goals.

[asadmukhtarr]

"Building Microservices" by Sam Newman is a definitive guide to designing, developing, and deploying microservices-based architectures. The book provides a deep understanding of the principles, patterns, and practices required to build scalable, maintainable, and resilient microservices. Below is a user-friendly, step-by-step breakdown of the key outcomes and takeaways from the book, designed to help readers understand and apply microservices effectively.

[simple-logic]

#Scrabble Scrabble Word of the Day 🎲

Uncover the tech jargon! 🖥️💡

Comments your answer below👇

💻 Explore insights on the latest in #technology on our Blog Page 👉 https://simplelogic-it.com/blogs/

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[praveennareshit]

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[pythonfullstackmasters]

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[manmishra]

Comprehensive AWS Server Guide with Programming Examples | Learn Cloud Computing

Explore AWS servers with this detailed guide . Learn about EC2, Lambda, ECS, and more. Includes step-by-step programming examples and expert tips for developers and IT professionals

Amazon Web Services (AWS) is a 🌐 robust cloud platform. It offers a plethora of services. These services range from 💻 computing power and 📦 storage to 🧠 machine learning and 🌐 IoT. In this guide, we will explore AWS servers comprehensively, covering key concepts, deployment strategies, and practical programming examples. This article is designed for 👩‍💻 developers, 🛠️ system administrators, and…

[sapientsapiens]

Serverless Deep Learning

Wrapped up the assignments for the serverless deep learning section of the #mlzoomcamp led by Alexey Grigorev @DataTalksClub . Got a hands on tryst with AWS Lambda with practical insights on the basics of serverless deployments

[gleecus-techlabs-blogs]

While containers and serverless computing may appear similar, they cater to different needs and use cases. Choosing the right approach depends on your business's unique requirements and objectives. In this blog, we break down what containers and serverless computing are, their key components, and delve into the critical differences between the two to help you make an informed decision.