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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

As businesses compete for customer loyalty, it’s critical to understand the difference between real-user monitoring and synthetic user monitoring. These development and testing practices ensure the performance of critical applications and resources to deliver loyalty-building user experiences. What is real user monitoring?

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Cybersecurity Awareness Month 2023: Key themes and best practices for protecting against cyberthreats

Dynatrace

With the increasing frequency of cyberattacks, it is imperative to institute a set of cybersecurity best practices that safeguard your organization’s data and privacy. Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities.

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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. This blog post lists the important database metrics to monitor. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation.

Metrics 130
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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. When organizations implement SLOs, they can improve software development processes and application performance. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle.

Software 263
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How To Benchmark And Improve Web Vitals With Real User Metrics

Smashing Magazine

How To Benchmark And Improve Web Vitals With Real User Metrics. How To Benchmark And Improve Web Vitals With Real User Metrics. Different products will have different benchmarks and two apps may perform differently against the same metrics, but still rank quite similarly to our subjective “good” and “bad” verdicts.

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Measuring the importance of data quality to causal AI success

Dynatrace

Improving data quality is a strategic process that involves all organizational members who create and use data. It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration.

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Container security: What it is, why it’s tricky, and how to do it right

Dynatrace

Container security is the practice of applying security tools, processes, and policies to protect container-based workloads. If containers are run with privileged flags, or if they receive details about host processes, they can easily become points of compromise for corporate networks. Best practices for container security.