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Driving your FinOps strategy with observability best practices

Dynatrace

Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste. This includes spot instances such as unused cloud capacity that’s available at a discounted price. Dynatrace can help you achieve your FinOps strategy using observability best practices.

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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. As a result, site reliability has emerged as a critical success metric for many organizations. That’s why good communication between SREs and DevOps teams is important.

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Best Practices in Cloud Security Monitoring

Scalegrid

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Get ready for actionable insights that balance technical depth with practical advice. This includes servers, applications, software platforms, and websites.

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5 SRE best practices you can implement today

Dynatrace

Without SRE best practices, the observability landscape is too complex for any single organization to manage. Like any evolving discipline, it is characterized by a lack of commonly accepted practices and tools. Like any evolving discipline, it is characterized by a lack of commonly accepted practices and tools.

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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. RUM gathers information on a variety of performance metrics. RUM is ideally suited to provide real metrics from real users navigating a site or application. What is real user monitoring?

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

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