CloudFix’s Post

𝗖𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝗕𝗲𝘁𝘄𝗲𝗲𝗻 𝗠𝗶𝗻𝗶𝗼 𝗮𝗻𝗱 𝗔𝗺𝗮𝘇𝗼𝗻 𝗦𝟯: 𝗪𝗵𝗶𝗰𝗵 𝗦𝗵𝗼𝘂𝗹𝗱 𝗬𝗼𝘂 𝗢𝗽𝘁 𝗙𝗼𝗿? 🤔 As developers, we often face the critical decision of selecting the right tools for our projects. When it comes to object storage, the choice between Minio and Amazon S3 can significantly impact your project’s scalability, cost, and flexibility. Here's a quick rundown to help you decide: 𝗔𝗺𝗮𝘇𝗼𝗻 𝗦𝟯 🗳️: - Reliability: S3 is a tried-and-true solution with Amazon's robust infrastructure backing it. - Scalability: Seamlessly handles massive amounts of data, perfect for enterprises. - Ecosystem: Direct integration with AWS services makes it a go-to for those already within the AWS environment. - Cost: While pricing can add up, especially with high-volume data storage, the value is often in the extensive features and support. 𝗠𝗶𝗻𝗶𝗼 🦩: - Open Source: Minio is a fantastic open-source alternative that provides S3-compatible object storage. - Flexibility: Deploy it on-premises or in any cloud, giving you full control over your data. - Cost Efficiency: Minio can be more cost-effective, particularly for smaller teams or those looking to avoid vendor lock-in. - Performance: Optimized for high-performance workloads, Minio shines in environments where speed and control are paramount. 𝗪𝗵𝗶𝗰𝗵 𝗼𝗻𝗲 𝘀𝗵𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝘀𝗲𝗹𝗲𝗰𝘁? - Choose Amazon S3 if you’re looking for a highly reliable, fully managed service with extensive integrations and don’t mind paying a premium for it. - Go with Minio if you value flexibility, control, and open-source principles, especially if you have specific performance requirements or want to avoid being tied to a single cloud provider. At the end of the day, the best choice depends on your project’s needs, your team’s expertise, and your budget. What’s your preference? Let’s discuss! #WebDevelopment #SoftwareEngineering #S3 #Minio #AWS

Recently, I encountered a stark reminder of the consequences of neglecting technical debt when my AWS account got revoked due to exceeding the free tier limits. This is fully my fault since despite knowing I should set up CloudWatch and see how much the services I am consuming are costing, I just winged it(not my proudest momment as an engineer)😞. Which got me thinking, if this was in a company set up, how much more would my mistake or any other technical debt cost them? In our rush to deliver results or fine-tune our architectures for scalability, we might overlook optimizing costs. It's all fun and games until the bill arrives, or worse, our access gets revoked!😅. This is what we reffer to as technical debt. Technical debt, much like financial debt, accrues interest over time if left unattended. In the realm of cloud computing, it can manifest in various forms – from inefficient resource utilization to outdated architecture patterns. In my case, the accumulation of technical debt led to unforeseen costs and operational disruptions. Despite the allure of the AWS free tier, the unchecked growth of my batch processing project resulted in spiraling expenses and headaches. So, what can we do to mitigate technical debt and prevent such incidents? 1️⃣ Regular Audits: Conduct regular audits of your cloud infrastructure to identify areas of inefficiency and potential cost optimizations. 2️⃣ Automation & Monitoring: Invest in automation tools and robust monitoring solutions to detect anomalies early and prevent runaway costs. For example, for AWS users setting up CloudWatch. 3️⃣ Continuous Refactoring: Prioritize refactoring and modernizing legacy systems to maintain agility and scalability while reducing technical debt accumulation. 4️⃣ My personal favourite at the momment: If you can code it up outside the cloud platforms and use the cloud platforms for storage and querying, do it. For example, code up the spark job or any other transformation, then push the results to an S3 bucket. By addressing technical debt head-on, we can not only avoid costly surprises but also ensure the long-term sustainability and scalability of our projects in the cloud.

if you're interested on how at LANDBAY we've combined the use of Terraform, Flux, EKS and the rest of the AWS platform, then this can hopefully serve as a blueprint... https://lnkd.in/eW-VWqCn

How We Slashed AWS Costs by 58% for a SMB Software Company? This project was led by 2 amazing and talented women: Hadar Weisengreen and Inbal Granevich. Background: The company specializes in delivery management software, with its main AWS services being: EC2, RDS & EKS. When we started the project, the company was incurring daily costs of $116. By June, we were able to reduce the daily cost to $35, plus $14 in RI costs, a 58% decrease in daily charges. This translates to a whopping yearly savings of $25,000. What We Did: The main methods we used for this project included: RDS - Deleted one of the two RDS instances in the staging environment. - Rightsized the remaining RDS instance from xlarge to large. - Migrated the RDS instances to the Graviton-based r6g instance type. EKS - updated to the latest version to avoid external support charges. - decreased the minimum number of nods running. EC2 - Replaced as many instances as possible with Graviton-based instances. - In some cases, we couldn't change to Graviton due to app compatibility issues, but this is a fixable problem for the future. For dessert we bought RDS RI and compute SP to further optimize costs. The outcome of these techniques resulted in a yearly savings of approximately $25,000 for the company. Cloudride #aws #costoptimization #finops #costreduction 

🚀 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆𝗶𝗻𝗴 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗔𝗺𝗮𝘇𝗼𝗻 𝗘𝗖𝗦 𝗮𝗻𝗱 𝗙𝗮𝗿𝗴𝗮𝘁𝗲 Managing containers at scale can feel like a daunting task, but what if you could focus on your application and let AWS handle the rest? That’s where Amazon ECS with Fargate comes in. 𝗪𝗵𝘆 𝗙𝗮𝗿𝗴𝗮𝘁𝗲? Think of it as a serverless engine for containers. With Fargate, you no longer need to provision or manage servers. Just define your task, and Fargate takes care of launching, running, and scaling your containers automatically. 𝗛𝗼𝘄 𝗜𝘁 𝗪𝗼𝗿𝗸𝘀: 1️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝗬𝗼𝘂𝗿 𝗧𝗮𝘀𝗸: Specify the resources (CPU, memory, etc.) and container images. 2️⃣ 𝗟𝗮𝘂𝗻𝗰𝗵 𝗮𝗻𝗱 𝗙𝗼𝗿𝗴𝗲𝘁: Fargate runs your containers across a managed fleet, ensuring high availability. 3️⃣ 𝗣𝗮𝘆-𝗮𝘀-𝗬𝗼𝘂-𝗚𝗼: You’re billed only for the resources used by your running tasks. 𝗞𝗲𝘆 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀: 💡 𝗡𝗼 𝗦𝗲𝗿𝘃𝗲𝗿 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Focus on building your app; let AWS handle the infrastructure. 💡 𝗘𝗳𝗳𝗼𝗿𝘁𝗹𝗲𝘀𝘀 𝗦𝗰𝗮𝗹𝗶𝗻𝗴: Scale tasks up or down without manual intervention. 💡 𝗖𝗼𝘀𝘁-𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲: Optimize costs with granular billing per task. 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: ✅ Run microservices architectures. ✅ Batch job processing. ✅ Event-driven applications. As someone passionate about AWS, I’ve found Fargate to be a game-changer for simplifying container workloads. 🌟 #AmazonECS #AWSFargate #CloudComputing #Containers #AWS

Hello, #connections  , 🚀 Excited to share my progress on #day67 of the #100DaysofDevOps♾ Today, Let's getting started with AWS Elastic Load Balancer: Detailed Overview And Types Happy Learning😊 #90daysofdevops #90daysofdevopschallenge

Old Mutual Limited reduces operational overhead and technical debt using AWS Fargate. Read this case study to learn how financial services provider Old Mutual Limited uses Amazon ECS on AWS Fargate to reduce technical debt and redirect resources to deliver value to customers.

🚀 How I Scaled My Personal Projects Using AWS Services 🌩️ Scaling an application can feel like a niiiightmare sometimes, but with AWS, it became a smooth and efficient journey for me, I love AWS btw. Let me share how I took some personal projects to the next level with these fantastic services: 1️⃣ AWS Lambda: Embracing serverless architecture was a game-changer! Handling thousands of concurrent requests effortlessly meant I could focus on writing scalable code without worrying about infrastructure management. Less stress, more productivity! 😁 2️⃣ Amazon S3: Storing and serving static assets like images and videos became easy peasy. S3 offered high availability, VEEERY GOOD security, and was cost-effective. And when I integrated S3 with CloudFront, I provided fast content delivery around the world. Win-win! 3️⃣ Amazon RDS: Scaling the database was crucial. With Amazon RDS, managing the relational database was a piece of cake. Automated backups, software patching, and read replicas helped distribute the load efficiently. 4️⃣ Elastic Load Balancing (ELB): Increased traffic? No problem!!! (This service is REALLY AMAZING) ELB automatically distributed incoming traffic across multiple targets, ensuring fault tolerance and high availability. It made handling spikes in traffic so much easier. 5️⃣ Amazon CloudWatch: Monitoring and logging are pivotal for any application. CloudWatch provided real-time insights into my apps performance and helped quickly identify and resolve issues before they affected users. Peace of mind, always. 6️⃣ AWS Auto Scaling: Adjusting the number of EC2 instances based on demand ensured optimal performance while keeping costs in check. No more over-provisioning, just the right resources at the right time. By leveraging these AWS services, I built a scalable, resilient, and cost-effective architecture that grows with the user base. 🌱✨ #AWS #CloudComputing #Serverless #Scalability #FullstackDevelopment #TechInnovation

Learn how financial institution Old Mutual simplified container management on Amazon Web Services! 🙌 The company needed a container solution that would be simple to learn and implement while also reducing its technical debt. Old Mutual migrated its containers to Amazon ECS on AWS Fargate—managed and serverless solutions that reduced the company’s operational overhead. 🚀 “Using Amazon ECS and AWS Fargate made it simple for us to get up and running without the huge learning curve that engineers would have had with other solutions,” says Phiwayinkosi Gazu, Head of Cloud Platform Engineering: Data & Analytics at Old Mutual. #AWSforFinancialservices #containers #innovation

Learn how financial institution Old Mutual simplified container management on Amazon Web Services! 🙌 The company needed a container solution that would be simple to learn and implement while also reducing its technical debt. Old Mutual migrated its containers to Amazon ECS on AWS Fargate—managed and serverless solutions that reduced the company’s operational overhead. 🚀 “Using Amazon ECS and AWS Fargate made it simple for us to get up and running without the huge learning curve that engineers would have had with other solutions,” says Phiwayinkosi Gazu, Head of Cloud Platform Engineering: Data & Analytics at Old Mutual. #AWSforFinancialservices #containers #innovation