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5 Ways to Progress your Workouts

Progressing in workouts is essential for continual improvement, achieving fitness goals , and preventing plateaus. Here are five effective strategies to advance and evolve your workouts: Progressive Overload Techniques: Progressive overload is fundamental for continuous improvement in strength, endurance, or muscle growth. This principle involves gradually increasing the intensity, duration, or volume of your workouts over time to challenge your body and stimulate adaptation. Increase Resistance/Weight: For strength training, regularly increase the amount of weight or resistance you lift. This forces muscles to adapt to heavier loads, promoting strength gains. Aim for gradual increments (5-10% increase) in weight while maintaining proper form.  Adjust Reps and Sets: Vary the number of repetitions and sets performed. Lower repetitions with heavier weights focus on strength, while higher repetitions with lighter weights target endurance. Experiment with different rep and se...

Establishment of Infrastructure-as-Code (IaC)

The concept of Infrastructure-as-Code describes the process of managing and deploying the technology stack using software and code instead of configuring individual hardware elements. Cloud platforms with virtualization functions can automate the detection of computer resources in the network and organize them in pools so that IT operators can flexibly provide resources regardless of their physical configuration or their location in the server room. This results in an infrastructure as a code architecture in which users can execute mechanical, codified processes to achieve the desired hardware configuration short of manual setup.

Set up version control for workflows

As data privacy and security requirements become more stringent, organizations can use cloud automation tools to set up version control for workflows that use that data for confidential data stored in the cloud. This enables the organization to demonstrate to a regulator that the same secure configuration was used each time the data was accessed or changed.

Performing data backups

Even data that is stored in the cloud should be backed up regularly to avoid data loss. With cloud automation, IT operators can arrange data backups so that they are carried out automatically outside of business hours without manual intervention.

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Cloud automation does more than just reduce manual work

Cloud automation offers a number of advantages. Once a course is defined, it can be repeated with little or no manual intervention and even set up to run on a fixed schedule. In addition to the obvious advantage of reducing manual work, cloud automation offers other advantages:

• Agility : Companies can quickly scale server instances and storage to better adapt to changing requirements.

• Effectiveness : Quality assurance and test functions are also effectively activated by cloud automation, e.g. B. by allocating computer resources for the workload of the tests to be run.

• Speed : Increased delivery speed of the cloud infrastructure and administration. With cloud automation, tasks can be completed faster. An IaC tool can e.g. For example, you can set up a hundred servers in just a few minutes using predefined templates.

• Control : Better management and centralized management of existing environments

• Security : Significantly reduces the risk of human error, malicious insiders, and account compromises.

• Reliability : The continuous monitoring of cloud services and the automatic reaction to problems ensure that business processes run smoothly .

• Change management : The improvement of the CI / CD method (Continuous Integration and Continuous Delivery) ensures a better overall process cycle, at the same time reduces the likelihood of software errors and increases development stability.

• Improved governance : When setting up systems (manually or on an ad hoc basis), administrators keep track of what is actually going on and have a centralized way of controlling the infrastructure.

• Cost : Fewer manual processes also mean fewer errors, so less time is spent diagnosing and debugging and more time is left to get things done. The TCO (Total Cost of Ownership) of the IT infrastructure is significantly reduced.

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