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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...

competent partner in all questions of digital transformation

Next, the AIOps platform correlates this data in a contextual form. In addition to automatic detection, AIOps identifies the relationships between all entities in a hybrid IT environment, between the infrastructure elements, between an application and its infrastructure, and between the business transactions and the applications, and quickly finds the cause of complex problems that affect the business.


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Visualization

When the end-to-end correlation process is complete, the data must be presented in an easy-to-use format. And that is exactly the task of visualization. Visualization is important because it enables IT operations to quickly identify problems and take corrective action. AIOps offers a new generation of visualization that makes data usable.

Dependency mapping

AIOps uses automated dependency mapping to build and track dynamic, multi-layered relationships between hybrid infrastructure entities and thus create service and application topologies across technology domains and across data center and cloud environments. With dependency mapping, IT teams can accelerate incident response, quickly calculate the business impact of outages to ensure stakeholders are informed and issues are properly prioritized, and improve the uptime of business-critical applications, which contributes to customer satisfaction.

Machine learning

Finding the source of a problem is critical. But it's even more important to identify recurring patterns and predict likely future events. ML can correlate and analyze data from different business application and infrastructure areas while managing the volume, speed besides variety of the data engendered. It can identify relationships between entities, process millions of events, and reveal patterns of events in a time series to show what happened to aid root cause analysis. It can use current conditions and learning to identify business-level problems, spot anomalies in expected behaviors and thresholds, and foresee outages and performance issues. ML can even make suggestions. READ MORE:- technologyies

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