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Ultimately, the best way to decide which approach is right for you is to talk to your team and assess your specific needs. I hope this helps! 💡. #softwaredevelopment #devops #development #automation #engineering #engineers #team #collaboration #infrastructure #maintenance.

If you're looking to build or improve the infrastructure that supports your DevOps teams, then platform engineering is a good option. #DevOps #developers #automation.

So, which one is right for your organization?. The answer to this question depends on your organization's specific needs. If you're looking to improve the collaboration between your development and operations teams, then DevOps is a good place to start.

Roles and responsibilities: . DevOps teams are typically made up of developers, operations engineers, and QA engineers. Platform engineering teams are typically made up of platform engineers and infrastructure engineers. 👨‍💻. #infrastructure #maintenance #SoftwareDeveloper.

Scope: . DevOps is a broad set of practices that encompasses the entire software development life cycle. Platform engineering is a more focused discipline that focuses on the tools and infrastructure that support DevOps teams. 🏗️. #collaboration #quality #Building.

Here are some of the key differences between DevOps and platform engineering:. Focus: . DevOps focuses on the collaboration between development and operations teams. Platform engineering focuses on the creation and maintenance of a platform that supports DevOps teams. 🤝. #team.

Platform engineering is a discipline that focuses on the creation and maintenance of a platform that supports DevOps teams. Platform engineers are responsible for designing, building, and operating the tools and infrastructure that DevOps teams need to do their jobs. 🛠️.

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops). The goal of DevOps is to shorten the systems development life cycle and provide continuous delivery with high quality. 🚀. #automation #Engineering #Jobs #QA #engineers.

DevOps vs Platform Engineering: A Quick Overview 🚀. DevOps and platform engineering are two closely related concepts that are often confused with each other. However, there are some key differences between the two. #softwaredevelopment #DevOps #development.

By following these best practices, network admins can help to ensure that their networks are congestion-free and that performance is maintained. #congestioncontrol #networkadministration #networkperformance #networksecurity #sysadmin #itprofessional.

Network admins can also help to improve network performance by monitoring the network for signs of congestion. Some of the signs that may indicate congestion include:. Increased latency.Reduced throughput.Packet loss. #congestioncontrol #networkadministration #networkperformance.

There are a number of different congestion control techniques that can be used. Some of the most common techniques include:. - Window-based congestion control.- Feedback-based congestion control.- Proactive congestion control. #networksecurity #sysadmin #itprofessional.

#CongestionControl is a critical aspect of network administration. By implementing effective congestion control strategies, network admins can help to ensure that network resources are used efficiently and that performance is maintained. #networkadministration #NetworkAutomation.

I just published 🔗 API vs. SDK: Understanding the Key Differences 🔗 . #APIs #SDKs #SoftwareDevelopment #TechTalk #DevelopmentTools #CodingTips.

Just read an article on the 12 factor app and it's a must-read for anyone in web development! These best practices can help create scalable, maintainable, and portable web applications. #12factorapp #webdevelopment #saas #cloudcomputing

So which approach is right for your business? It depends on your specific needs and constraints. Vertical scaling may be sufficient for smaller businesses or projects with predictable usage patterns. #horizontalscaling #verticalscaling #AWS #MicrosoftAzure #businesssuccess.

Horizontal scaling, on the other hand, involves adding more servers to your network. This distributes the load across multiple machines, which can be more efficient and provide greater capacity. However, it can also be more complex to set up and manage.

This can be a quick and cost-effective way to scale up, but there are limits to how far you can go. Eventually, you'll run out of physical space on your server or hit a ceiling on how much processing power it can handle.