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Implementing service-level objectives to improve software quality

Dynatrace

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. 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.

Software 259
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Measuring the importance of data quality to causal AI success

Dynatrace

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. In AIOps , this means providing the model with the full range of logs, events, metrics, and traces needed to understand the inner workings of a complex system. That’s where causal AI can help.

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How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

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Leading Financial Services Provider Decreases Spend While Increasing Customer Satisfaction Using Flow Metrics 

Tasktop

In a world where agility and rapid feature delivery are crucial, sprawling, siloed organizations laden with top-down processes are at a disadvantage. This team was ripe for change, so they were chosen to pilot the organization’s agile transformation, using Flow Metrics to guide and measure their progress.

Metrics 52
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How to evaluate modern APM solutions

Dynatrace

APM solutions track key software application performance metrics using monitoring software and telemetry data. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

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10 things I love about SpeedCurve (that I think you'll love, too)

Speed Curve

The best way to fight regressions is to create performance budgets on key metrics, and get alerted when they go out of bounds. You can even go one step further and integrate your performance budgets with your CI/CD process, so that you not only get alerts but even break the build if a new deploy would violate any of your budgets.

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MySQL Key Performance Indicators (KPI) With PMM

Percona

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. Monitoring these metrics helps ensure data protection, minimize downtime, and ensure business continuity. This KPI is also directly related to Query Performance and helps improve it.