How do you balance cloud computing tasks with your other responsibilities?

To focus on the actual application development, you can use managed services and not have the overhead of launching instances on the cloud and managing them. That's not the optimum usage of the cloud. Hence during the planning phase think and weigh in between managed and unmanaged services in the cloud.

In my experience with cloud, especially with smaller scale projects, the requirements and specifications can still be a mystery or do not entirely fit in a nice preconceived solution. One of the major benefits of cloud is the flexibility. I urge professionals to refrain from extraneous and lengthy analysis periods (unless dealing with highly critical, sensitive or risk filled projects) and start the ball rolling. This can lead to some truly innovative solutions and key learning experiences. If you find an aspect of your solution isn’t working well, change it. It’s not a waste of money if you learn something from it, and can actually help you generate money if it shows you when to use it or avoid it.

- Identify your most critical cloud computing tasks and prioritize them based on deadlines and importance. - Use task management tools to create to-do lists and set priorities. - Allocate specific blocks of time in your schedule dedicated solely to cloud computing tasks. This helps avoid distractions. - Make sure to balance these blocks with other responsibilities, such as meetings or personal commitments

as mentioned in cloud computing that mean it can be see and manage from any where. If we are leave with family and any other urgent work then we can manage easily from there. I am working in cloud last around 10 years and manage very easily. I just share my beautiful experience and benefit for cloud. I am in mandir Mata Vaishno Devi in bhawan, then got alert in mid night then we open it via mobile and fixed. It was hardware issue. This is the way we are managing any task on cloud computing and family responsibility.

Before anything, ask yourself - why are you using cloud computing? What do you want to get out of it? Afterward, pick What's Important to you, you can't do everything at once. Choose the main things you need right now, and save the rest for later. Finally, look at your options, because there are lots of cloud services out there. Some take care of things for you (managed) while others let you handle things yourself (self-managed).

Every hyper scaler has its own unique strategy to market its technology but fundamentally the core services are the same. Choosing which provider to utilize depends on the people who are going to use the service. At the end of the day, digital transformation is dependent on a cultural change within the people of an organization, if the employees of an organization have a pre-existing skillset or projects in a specific cloud, stay on that cloud. Furthermore, don't reserve yourself with just one cloud, multi-cloud solution architectures are becoming more common these days, take the best elements of each cloud and use it to your advantage.

Some quick notes: - AWS boasts a wide range of services - Google Cloud excels in analytics and AI - Azure integrates seamlessly with Microsoft tools - IBM is strong in hybrid solutions

All of the existing hyperscalers are well equipped with all the services managed and unmanaged. Our choice should depend upon the ease of onboarding, rapid productionizing and also the cost. A well thought through plan will also have a hybrid and multi cloud approach.

Each cloud provider has 400+ Services with different capabilities and features. While deciding on the provider, we need to look after few criterias: 1. Tools I will use with my cloud workload, example: If I will use Microsoft tools with cloud, I will go for Azure foe better compatibility. 2. If my need is to develop workloads using AI/ ML, then I will go for GCP as Google has better advance capabilities in it's cloud. 3. For integration of CRMs like Salesforce etc. I will prefer AWS. Also planning for subscription plays an important role while deciding on the provider. We also need to look after the post production support plan from the providers. This is one of the area where we need to be cautious for saving money with better services.

Small and mid-size cloud providers are becoming increasingly popular, as they are often more economically attractive, and they tend to specialize in areas that hyperscalers may not be the strongest in. The one-size-fits-all approach that hyperscalers have often falls short of users with unique requirements. I encourage users to evaluate these smaller providers, as they can provide better value and performance in the long term.

Monitoring and observability are must for optimized usage of cloud workloads. 1. There are inbuilt services provided by cloud providers which raise alerts. All we need to setup specific rules and conditions based on our need. Example: Azure policy and compliance management system. 2. In addition to this we also need to be vigilant on the orphan resources. With cloud the biggest challenge is developer can spin a machine and forget to dispose it after use. Having policies and audits in regular intervals help detecting these Resources and cleanup. This helps in huge cost savings. 3. Configuring Autoscaling and load balancing provisions the extra resources as required instead of provisioning them early.

To ensure optimal cloud performance you will need to look at both ends. Monitoring: Set performance metrics, use monitoring tools, configure alerts, and analyze logs to track performance metrics in real-time. Optimizing: Rightsize resources, implement auto-scaling and load balancing, utilize CDNs and caching, optimize databases, monitor costs, and ensure security and compliance. Regularly review and adjust optimization strategies to meet changing needs.

As we deploy cloud solutions, it's essential to ask: What service metrics matter most? Is it uptime? Peak hour efficiency? Monitoring and observability ensure we meet these targets, and timely alerts pave the way for rapid adjustments. From my point of view, monitoring goes beyond just service health. It's a key player in cost management and security. By tracking usage, we can optimize resources and save money. Plus, real-time checks help spot security risks early on. Remember, proactive monitoring isn't just about preventing issues. It's about managing resources, costs, and threats smartly.

All the cloud providers have security and backup services. While enabling these services we need to be clear on our requirement. Example: If my workload is a e-commerce system then I would prefer a high speed DB with frequent backup with multiple replication in multi-region setup. But this setup comes with high cost. We need to carefully evaluate and implement the need of backup and restore policies. Security is another important aspect in cloud computing. Storing config details and credentials in cloud vaults solves this problem. All the cloud providers provide vault for secure storage of data. Also having a hygiene practice of regular patch upgrade, setting multi factor authentication helps securing user and system data to much extent.

The cloud gives us great tools for security and backup. But remember, it's a team effort. Providers do their part, but we need to switch on the right settings and follow safe practices. In my eyes, teaching our teams about online dangers is key. And when setting up backups, plan smart to save money. With so many storage choices, pick what fits your needs best.

It's all about smartly allocating time and resources based on task importance, the costs you're comfortable with, and the support you can get from your team. The Cloud is a game-changer; with numerous automated solutions available, it allows you to focus on other priorities and make swift changes when needed.

Cloud is fancy. As per a survey nearly 80% organizations aim to be in cloud by 2023 end. Someone is moving to cloud is not a criteria for me to migrate to Cloud. We need to evaluate our situation and requirements if we really need to be migrated to cloud. Planning ahead, communicating with all stake holders, having required skillset are various stages we need to perform carefully and intendedly to achieve a successful cloud migration. This also need investment on systems we will deal along with cloud. And there we need a backup plan. If anything goes wrong, what next? Are we ready to back from cloud. Example: few data cannot be on cloud. Can we store them in onprem and call from cloud for use? Compatibility check, prioritization are must.

1. Balancing cloud computing tasks with my other responsibilities requires effective time management. 2. I prioritize critical cloud projects and set specific time blocks for them. 3. Additionally, I delegate non-essential tasks to team members when possible. 4. Regularly reviewing project timelines helps me stay on track. 5. Ultimately, it's about finding the right equilibrium between cloud work and other duties.