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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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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.

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The right person at the right time makes all the difference: Best practices for ownership information

Dynatrace

Keeping ownership teams and their properties up to date is essential, as is having the right contact information available when needed. Finally, the best information is still useless if users can’t retrieve it quickly when needed and use it accordingly. Dynatrace offers several ways to ingest ownership team information.

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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. This approach helps organizations deliver more secure software and infrastructure with greater efficiency and speed. Download the free 2023 CISO Report.

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Efficient SLO event integration powers successful AIOps

Dynatrace

Let’s assume we created a service-availability SLO, monitoring the request failure count against the overall request counts. Error budget burn rate = Error Rate / (1 – Target) Best practices in SLO configuration To detect if an entity is a good candidate for strong SLO, test your SLO. What characterizes a weak SLO?

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Automated Testing in Data Engineering: An Imperative for Quality and Efficiency

DZone

In the data-driven landscape of today, automation has become indispensable across industries, not just to maximize efficiency but, more importantly, to ensure quality. This holds true for the critical field of data engineering as well. This comprehensive guide takes an in-depth look at automated testing in the data engineering domain.

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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. This computational efficiency also reduces energy consumption, which in turn reduces carbon emissions. A PUE of 1.0 Want to learn more?

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