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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

The release candidate of OpenTelemetry metrics was announced earlier this year at Kubecon in Valencia, Spain. Since then, organizations have embraced OTLP as an all-in-one protocol for observability signals, including metrics, traces, and logs, which will also gain Dynatrace support in early 2023.

Analytics 272
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

RedisĀ® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130
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9 key DevOps metrics for success

Dynatrace

The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Like any IT or business project, you’ll need to track critical key metrics. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.

DevOps 192
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Code Quality Metrics

DZone

"Employing these Metrics to excel the performance of code directly impacts the profitability of the business. Achieving high-quality standards ultimately increases the ROI of the software. Consider it as a matter of choosing between investing excess time as well as resources initially or wasting the same later in fixing issues".

Code 226
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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

That is, relying on metrics, logs, and traces to understand what software is doing and where itā€™s running into snags. In addition to tracing, observability also defines two other key concepts, metrics and logs. When software runs in a monolithic stack on on-site servers, observability is manageable enough.

Metrics 174
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Rethinking Programming: Automated Observability

DZone

In a software system, in order to acquire observability, we mainly implement the following aspects: logging, metrics, and tracing. Compared to monoliths, itā€™s much harder to troubleshoot issues and do performance tuning in microservices deployments. This is mainly due to the added complexity of working with a distributed system.

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Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

With our annual user conference, Dynatrace Perform 2024 rapidly approaching on January 29 through February 1, 2024, our teams, partners, and customers are buzzing with excitement and anticipation. Read on to learn what you can look forward to hearing about from each of our cloud partners at Perform. What can we move?

Cloud 204