How can you overcome common cloud computing project pitfalls with certification?

To overcome common cloud computing project pitfalls, consider these steps: 1. **Certification**: Obtain cloud computing certification to gain essential skills and knowledge. 2. **Budget Management**: Plan and manage cloud budgets carefully to avoid cost overruns. 3. **Provider Comparison**: Compare and negotiate with different cloud providers to find the best fit. 4. **Service Model Selection**: Choose the right cloud service model for your specific needs. By following these strategies, you can navigate challenges and ensure the success of your cloud projects. ???? #CloudComputing #Certification #ProjectManagement #FollowMe for more easy but effective ways to learn.

As an SE , I personally felt certification not only imparts theoretical knowledge but also encourages hands-on experience. During certification preparation, individuals engage in labs, explore new concepts, and gain fresh perspectives. This practical exposure proves invaluable in real-world projects. Candidates work with cloud platforms, configure services, and troubleshoot, fostering a deep understanding of cloud technologies. They also delve into best practices, optimization, and cost management, directly applicable to project challenges. This certification journey equips professionals with practical skills and insights, aiding in overcoming common cloud project pitfalls.

Ways in which pursuing cloud computing certification can be beneficial: 1. Enhanced Knowledge and Skills: provide structured learning programs that cover various aspects of cloud technologies 2. Industry-Recognized Credentials: Cloud computing certifications such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. 3. Security and Compliance Expertise: Security risks are a major concern in cloud computing. 4. Cost Optimization and Performance Improvement: Cloud computing certifications often cover topics related to resource management, cost optimization, and performance monitoring. 5. Collaboration and Networking: Certification programs often provide opportunities to interact with other professionals in the field.

Certification cannot overcome experience. They should go hand in hand. You can have Azure/ AWS certified architects with no to little (not very relevant) experience in a project team and that is a set back. In the same time, certifiction brings structure, best practices and knowledge that are mandatory for project success. A humble PM.

Certification is a good start for cloud architects and engineers, but is no replacement for experience. In my work, customers often have the basic skills and certs but can't see the forest because they're so busy looking at the trees. Building secure systems is a collaboration between the cloud and security organizations, and requires hands-on experience to do right. Certs may help you gauge basic skills and proficiency but don't guarantee results. College degrees are similar - just having a degree doesn't mean you can do the job. It's generally the first filter we use when trying to find the right resources for a position, but the interview and some hands-on demonstration is a much better indicator of success.

Cloud Financial Management is an important pillar in the well architected framework. Essentially it guides with fundamental principles of tagging resources, using cloud budgets and explorers to have an insight of the services consumption.

As a Cloud MBA Teacher and SME for Cloud, I’m always saying that, FinOps is an essential part of the discussion for any world-class architecture framework. The combination between technical and financial details will be the perfect match to a equilibrate and functional environment.

I think many companies are facing the issue of " Cost Overruns" due to cloud adoption. Since "Cloud Evangelists" were able to propagate the messaging of Flexibility, Elasticity, Technology Obsolescence Proof, etc, most of the companies have moved to cloud then are now trying to figure out how to keep the Cloud Budget under control. Hence, it is advisable that at least one or two key members in the organization to do a course provided by AWS, Google or Azure on cloud pricing models, billing and reporting tools, cost optimization strategies, and cloud value proposition. This will be handy in managing the Cloud Cost Overruns and also to decide on whether to have a Hybrid model.

Addressing cost overruns in cloud computing projects necessitates a multi-pronged approach. Firstly, it's crucial to have a clear understanding of the pricing models of your chosen cloud provider. Leveraging cost management tools can help monitor and predict expenses in real time. Implementing auto-scaling ensures resources are used efficiently, avoiding the under-utilization or over-provisioning of services. Adopting a policy of regular clean-up of unused resources, like dormant virtual machines or outdated storage volumes, can result in significant savings. Lastly, continuous team training on best practices and emerging tools can equip them to make cost-effective decisions throughout the project lifecycle.

Hyperscale cloud providers each provide a documented "Cloud Adoption Framework", which in the strategy, governance, and plan phases encourage companies to complete an estate review that should form part of a multi-year plan to get the best from cloud. Simply performing a lift/shift while fast, often leads to unexpected consequences in cost. Interestingly, leveraging a mature Cloud Integration Partner can prevent nasty surprises in the form of cost overruns in projects, and in addition these concepts are covered in detail in the highest architect certifications like AZ-305. Opening discussions with an experienced technical consultant will put you on a path to a cloud adoption project that satisfies your business and financial objectives.

Indeed certifications along with practice labs can help you understand how one can automate the scaling of EC2 up and down depending on your consumption. latency issues can be resolved making sure the AZ for server is located in the same region where the traffic is coming from. cloud optimization is important as you would not like to lose your system to over run or run on other ec2 and you can configure horizontal and vertical scaling of your EC2. load balancer and containerization is best practice to properly manage different application running on either same server or different servers. monitoring the capacity should be measured regularly.

Absolutely agree to this. I ran into a scenario of AWS providing a free Cloud Quest lab where we could learn intuitively how to carry out various operations and even some of the break and fix operations. It played vital in me to help my team understand when there was a need because I was exposed to those learning. I personally believe the process of taking up the certification leads one into multiple sandbox environments and labs which are of great value

Performance to me is a more nuanced topic which cannot be addressed by cloud certifications alone. It is by experience, recursive testing and tuning, validations will lead to best performance

Multi-cloud will also require a workforce evolution. The choices and nuances of multi-cloud mean this evolution needs to happen in the developer base, program oversight, and program leadership. Consider seeking certifications that work across multiple clouds. You are taking a risk if you only expand your knowledge with certifications in one cloud.

Cloud computing certification can help you achieve basic steps in the journey of career. My suggestion in the beggining is to have more horizontal certification (e.g Exin Cloud Foundations, CompTIA Cloud Foindations and/or CompTIA Cloud +) to get initial creditential. After that a specialization in a player (e.g AWS, Microsoft, Google, Oracle, IBM, etc) will help to cover cloud design, planning, cloud deployment, migration and managed for each one.

More than 50% organization have reported to have more than one cloud, and it is predicted that the number would soon go above 80%. So it is right to say that having a fundamental knowledge and understanding of terminologies, jargons and names of resources would be highly valuable but nonetheless while diving deep, one should pick one hyperscalers at once and understand its depth to its entirety. Even though the gaining of hyperscalers credentials look promising but the depth of understanding might fall short in many cases

3 things that differentiate a Certified & a non- certified personnel : 1. Limits & enhancements : Any system design that's cloud native must enhance itself to utilize the best of technology. A well architected solution today could be a +20% next year based on the stack. Its vital to be updated on the skills and get recertified as needed. 2. Culture : The DevOps culture should focus on closing the skills gaps by bringing the team to a common knowledge ground with enough criterion to qualify the product expertise. 3. Sustainability : With cost being a weighted factor, sustainability could be a game changer in your team. A small (trained) self help group may start exploring sustainability grades of product features you own.

absolutely, having no practice means poor orchestration. there are number of projects available that can provide you hands on practice, some of them are on github, some are provided by skill builder from AWS. start by basic architecture and one can learn some pretty hardcore architectures as well provided by different cloud providers.

I have been a sales guy and recently learned so much from AWS Skill Builder provided me with practice labs and real time scenarios problems faced by the community. this is one way to step into cloud computing and getting a hands on experience. there are other labs available by different institutes which can help you learn the basics. best way is to understand cloud architecture, see which tools are in place, are they the right tools used as per clients consumption, making sure all the routes are perfectly aligned, firewalls are placed perfectly and extra security is deployed on all of the data coming in and out. encryption and access management. alarms and notifications should be configured in case of emergency.

Totally, The AWS Skill builder has a lot of pathways, courses and bundled modules that lead you to gain the relevant skillset and familiarize yourself regarding AWS as a whole. A big PLUS in Skill Builder is that it issues a Credly badge as well which can be shared on LinkedIn as well to quantify or validate your knowledge with whomsoever it may concern

In the evolving landscape of cloud computing, striking a balance between performance and cost is imperative. Proactive monitoring allows teams to anticipate and address potential issues before they escalate and provides valuable insights for optimization. Regularly analyzing usage patterns can lead to identifying underutilized resources, which can significantly reduce costs when right-sized or decommissioned. Meanwhile, integrating AI into the support framework can expedite issue resolution, lessening the strain on human resources and ensuring users get timely assistance. Furthermore, AI can predict potential performance bottlenecks by analyzing trends, paving the way for preemptive actions.

Cloud is not about just public cloud, it is always about hybrid cloud where some workloads will be on-premise and some on public cloud. Data management between environments gets complex, analytics and governance is another area to focus on.