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AWS, short for Amazon Web Services, is a comprehensive, cloud computing platform provided by Amazon. It offers a mix of infrastructure as a service (IaaS), platform as a service (PaaS), and packaged software as a service (SaaS) offerings. In simpler terms, AWS provides a wide range of services that... allow businesses to move their computing needs to the cloud. This means instead of companies having to build and maintain their own infrastructure, they can rent out computing resources from AWS based on their needs. These resources include things like servers for hosting websites or running applications, databases for storing data, and even artificial intelligence and machine learning capabilities. AWS also offers services related to analytics, security, mobile development, and much more. 📈 By using AWS, businesses can scale their resources up or down based on demand, only pay for what they use, and access these resources from anywhere in the world. 🌍 In short, AWS is a one-stop shop for businesses to leverage powerful and scalable computing capabilities in the cloud. ☁️ #career #careeradvice #careertiktok #devops #devopsengineer #devopslife #awsshow more

markinthecloud

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15,800 Aufrufe • vor 3 Jahren •via TikTok

Wissenschaft & Technologie #career #careeradvice #careertiktok #devops #devopsengineer #devopslife #aws

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☁️💻 YOU NEED TO LEARN AWS! — AMAZON WEB SERVICES EXPLAINED ⚠️ EDUCATIONAL DISCLAIMER: This content is strictly for educational purposes, cloud computing knowledge, and cybersecurity awareness. Practical exercises should be performed in authorized learning environments using accounts and resources you control. Always follow cloud-provider policies, protect credentials, and check potential charges before creating resources. 🌐 WHAT IS AWS? Amazon Web Services (AWS) is a cloud computing platform that provides computing power, storage, databases, networking, and security services over the internet. Instead of purchasing and maintaining physical servers, organizations can use cloud infrastructure to build and operate applications. ### 🔑 7 AWS CONCEPTS EVERY BEGINNER SHOULD KNOW 1️⃣ EC2 — Virtual Servers Run virtual computers in the cloud for applications, websites, and testing. 2️⃣ S3 — Cloud Storage Store files, backups, images, and other objects. Incorrect permissions can expose private data. 3️⃣ IAM — Identity and Access Management Control who can access AWS resources and what actions they can perform. 4️⃣ VPC — Virtual Private Cloud Create logically isolated networks and control how cloud resources communicate. 5️⃣ Lambda — Serverless Computing Run code in response to events without managing the underlying servers directly. 6️⃣ CloudWatch — Monitoring Collect metrics, logs, and alerts to help monitor applications and cloud resources. 7️⃣ CloudTrail — Activity Auditing Record supported AWS account and API activity to help investigate events and identify suspicious actions. ### 🛡️ CLOUD SECURITY PRINCIPLES 🔹 Enable multi-factor authentication (MFA). 🔹 Follow the principle of least privilege. 🔹 Never expose access keys or passwords in public repositories. 🔹 Configure storage permissions carefully. 🔹 Monitor activity and review security logs. 🔹 Set budgets and billing alerts before experimenting with paid services. ### 🎯 WHY LEARN AWS? AWS skills can support career paths in cloud engineering, DevOps, IT support, software development, and cloud security. KEY LESSON: Don't try to memorize hundreds of services. Understand the fundamentals, practise with small projects, and learn how the services work together. ☁️ Learn the cloud. Build practical skills. Secure your infrastructure. 🔐 HACKWITHBANKS — CYBERSECURITY & CLOUD EDUCATION #Hackwithbanks #AWS #AmazonWebServices #CloudComputing #CloudSecurity

☁️💻 YOU NEED TO LEARN AWS! — AMAZON WEB SERVICES EXPLAINED ⚠️ EDUCATIONAL DISCLAIMER: This content is strictly for educational purposes, cloud computing knowledge, and cybersecurity awareness. Practical exercises should be performed in authorized learning environments using accounts and resources you control. Always follow cloud-provider policies, protect credentials, and check potential charges before creating resources. 🌐 WHAT IS AWS? Amazon Web Services (AWS) is a cloud computing platform that provides computing power, storage, databases, networking, and security services over the internet. Instead of purchasing and maintaining physical servers, organizations can use cloud infrastructure to build and operate applications. ### 🔑 7 AWS CONCEPTS EVERY BEGINNER SHOULD KNOW 1️⃣ EC2 — Virtual Servers Run virtual computers in the cloud for applications, websites, and testing. 2️⃣ S3 — Cloud Storage Store files, backups, images, and other objects. Incorrect permissions can expose private data. 3️⃣ IAM — Identity and Access Management Control who can access AWS resources and what actions they can perform. 4️⃣ VPC — Virtual Private Cloud Create logically isolated networks and control how cloud resources communicate. 5️⃣ Lambda — Serverless Computing Run code in response to events without managing the underlying servers directly. 6️⃣ CloudWatch — Monitoring Collect metrics, logs, and alerts to help monitor applications and cloud resources. 7️⃣ CloudTrail — Activity Auditing Record supported AWS account and API activity to help investigate events and identify suspicious actions. ### 🛡️ CLOUD SECURITY PRINCIPLES 🔹 Enable multi-factor authentication (MFA). 🔹 Follow the principle of least privilege. 🔹 Never expose access keys or passwords in public repositories. 🔹 Configure storage permissions carefully. 🔹 Monitor activity and review security logs. 🔹 Set budgets and billing alerts before experimenting with paid services. ### 🎯 WHY LEARN AWS? AWS skills can support career paths in cloud engineering, DevOps, IT support, software development, and cloud security. KEY LESSON: Don't try to memorize hundreds of services. Understand the fundamentals, practise with small projects, and learn how the services work together. ☁️ Learn the cloud. Build practical skills. Secure your infrastructure. 🔐 HACKWITHBANKS — CYBERSECURITY & CLOUD EDUCATION #Hackwithbanks #AWS #AmazonWebServices #CloudComputing #CloudSecurity

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Almost 20 years later, AWS is still the most popular cloud in the world. The reason is simple: it just works! They have four services focused on Generative AI: 1. Amazon Q 2. Amazon Bedrock 3. SageMaker JumpStart 4. PartyRock I've been using AWS for around 15 years (honestly, I don't remember well), and their Developer Center is a gold mine. If you open their Developer Center, you'll find a new learning path, "Generative AI for Developers." I'm linking to it below. This is not just a course. This is a collection of courses, examples, videos, tutorials, and code walkthroughs. They will teach you how to use Generative AI on AWS using the four services above. ↑ That right there is a huge selling point: These classes aren't just theoretical. You'll have a chance to learn using the same professional tools everyone else uses. By the way, there are many more resources in the Developer Center: • Machine Learning • Data Operations • DevOps All of these are free. Click, click, and start learning right away. One more thing before I forget: If you are building anything with AWS, check out Amazon Q, their coding assistant. This is the *best* coding assistant for AWS-related work, and it's not even close. It's a Visual Studio Code extension. Install it, and it works like any other code assistant, except this one knows a lot about AWS. Thanks to AWS for sponsoring a post about their free courses and learning resources. There's a special place in Developer Heaven for you.

Almost 20 years later, AWS is still the most popular cloud in the world. The reason is simple: it just works! They have four services focused on Generative AI: 1. Amazon Q 2. Amazon Bedrock 3. SageMaker JumpStart 4. PartyRock I've been using AWS for around 15 years (honestly, I don't remember well), and their Developer Center is a gold mine. If you open their Developer Center, you'll find a new learning path, "Generative AI for Developers." I'm linking to it below. This is not just a course. This is a collection of courses, examples, videos, tutorials, and code walkthroughs. They will teach you how to use Generative AI on AWS using the four services above. ↑ That right there is a huge selling point: These classes aren't just theoretical. You'll have a chance to learn using the same professional tools everyone else uses. By the way, there are many more resources in the Developer Center: • Machine Learning • Data Operations • DevOps All of these are free. Click, click, and start learning right away. One more thing before I forget: If you are building anything with AWS, check out Amazon Q, their coding assistant. This is the best coding assistant for AWS-related work, and it's not even close. It's a Visual Studio Code extension. Install it, and it works like any other code assistant, except this one knows a lot about AWS. Thanks to AWS for sponsoring a post about their free courses and learning resources. There's a special place in Developer Heaven for you.

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Ready for a career breakthrough? 💥☁️ #AWS Cloud Institute offers the roadmap, so you can begin your career as a cloud developer in as little as one year. Learn more. 👉

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Project Ceiba, a collaboration between Amazon Web Services (AWS) and NVIDIA, is set to build one of the largest AI supercomputers in the world. ➡️📽️

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Amazon's cloud services unit AWS was recovering from a widespread outage that knocked out thousands of websites, along with some of the world's most popular apps and disrupted businesses globally

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In September, some of the best security researchers in the world joined the Amazon and Amazon Web Services teams in Edinburgh, Scotland, for a live-hacking event fit for a Scottish king. 👑 This collaboration with the security researcher community is vital to Amazon and AWS' commitment to comprehensive security for their users and customers. See the highlights and which security researchers were able to climb to the top of the leaderboard.🥇

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The future of basketball is here. 💥🏀 The NBA and AWS are joining forces in a multi-year partnership to power the future of the game. As the Official Cloud and Cloud AI Partner, AWS will help deliver next-level innovation, insights, and fan experiences across the NBA and its affiliate leagues including WNBA, G League, BAL, and NBA Take-Two Media. Amazon Web Services

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Agent Toolkit for AWS gives AI coding agents the tools, knowledge, and guardrails they need to work effectively with AWS services. Instead of relying on agents' general knowledge of AWS, which can be outdated or incomplete, it provides access to up-to-date documentation, best practices, and tested procedures that improve success rates and reduce wasted effort. Works with any MCP-compatible agent. Install free:

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Jeff Yan on Hyperliquid's future vision: the AWS of finance On July 9, 2026, Hyperliquid co-founder Jeff Yan jeff.hl stated on the VALR podcast that the platform is fundamentally a liquidity infrastructure layer for all of finance, rather than just an exchange. He believes that, much like how AWS handles computing resources for startups, Hyperliquid provides underlying support for liquidity, ledgers, and asset tokenization across various platforms. Yan stated that as disparate platforms integrate into this single layer, it creates a compounding effect, allowing all users to benefit from tighter spreads and deeper liquidity.

Jeff Yan on Hyperliquid's future vision: the AWS of finance On July 9, 2026, Hyperliquid co-founder Jeff Yan jeff.hl stated on the VALR podcast that the platform is fundamentally a liquidity infrastructure layer for all of finance, rather than just an exchange. He believes that, much like how AWS handles computing resources for startups, Hyperliquid provides underlying support for liquidity, ledgers, and asset tokenization across various platforms. Yan stated that as disparate platforms integrate into this single layer, it creates a compounding effect, allowing all users to benefit from tighter spreads and deeper liquidity.

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Big news! Caylent has acquired Trek10, uniting two AWS Premier Partners to form one of the most comprehensive AWS-only partners in the ecosystem. Together, we are delivering full lifecycle services across strategy, migration, modernization, product innovation, and managed services so customers have one partner for their entire AWS journey. Learn more: #AWSPartner #CaylentTrek10

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35,584 Aufrufe • vor 1 Jahr