We hope we haven’t kept you in suspense for too long. Here’s part 2 of the top 10 AWS cloud security best practices. In Part 1, we looked at what AWS Cloud security is, the key aspects of AWS security, and which AWS components need security attention.

Did you know nearly half of all security breaches happen in the cloud? 80% of companies dealt with a cloud security issue over the last year.

In this age where everything seems to be in the cloud, keeping our digital stuff safe from cybercriminals is a pretty big deal. Just think about what a data breach or even some downtime could cost you. Research shows that attacks on cloud apps are shooting up, costing companies a whole lot of cash—like, we're talking millions here. That's why it's not just a nice idea to safeguard your applications; it’s something you absolutely have to do.

We’ve all heard of popular AI frameworks like TensorFlow and PyTorch, but when it comes to self-hosting Artificial Intelligence for

Imagine you’re running a small boutique that sells handmade jewelry. Your customers love your products, but you’re overwhelmed with answering inquiries, managing social media, and writing product descriptions. You’ve heard about AI, but hiring developers or learning how to code sounds like a nightmare.

Welcome to Part 2 of our comprehensive guide on 'Picking the Right LLM Model for Your AWS Needs.' In Part 1, we looked at the essentials of Large Language Models (LLMs) and the considerations for selecting one that fits your project's specific goals.  If you haven't read Part 1 yet, we recommend tha

Have you checked out the variety of Large Language Models (LLMs) available? You’re spoilt for choice! With so many options, picking the right one for your project can feel daunting. You might think the flashiest, newest models are the best, but it’s not that simple. What really matters is finding the LLM that suits your specific needs, whether you’re building a chatbot, automating tasks, or generating content—while keeping an eye on your budget.

In today's world, data rules. Businesses are drowning in information but starving for insights. While artificial intelligence promises to bridge this gap, many organizations find themselves stuck between recognizing AI's potential and actually implementing it effectively. Using its potential has often been accompanied by challenges of costs, complex infrastructure, and steep learning curves. It isn't just about having the right technology—it's about having the expertise to deploy it strategically.

Flexera's 2024 State of the Cloud Report reveals a shocking trend: companies are pouring money down the drain on cloud computing. Nearly one-third of cloud spending goes to waste, amounting to an eye-watering $24 billion in 2024 alone.

In today's digital age, cloud computing has become an essential part of business infrastructure. However, with the flexibility and scalability of cloud services comes the challenge of managing and optimizing costs. AWS provides powerful tools to help you understand and reduce your cloud expenditures: AWS Cost Explorer and AWS Compute Optimizer. we'll explore how you can leverage these tools to gain better insights into your spending and optimize your cloud costs.