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What is observability? Not just logs, metrics and traces

Dynatrace

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Organizations usually implement observability using a combination of instrumentation methods including open-source instrumentation tools, such as OpenTelemetry.

Metrics 363
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Observability platform vs. observability tools

Dynatrace

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures. Observability platforms are becoming essential as the complexity of cloud-native architectures increases.

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Key Considerations for a Modern Database to Operate at Scale

VoltDB

The performance consists of two aspects: throughput and latency. Humans will wait much longer than an API will since APIs have strict latency expectations due to timeouts. When you take a multi-tier approach to solve a data related problem, each layer you add to the composition of your solution, you are baking in a certain latency.

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Key Considerations for a Modern Database to Operate at Scale

VoltDB

The performance consists of two aspects: throughput and latency. Humans will wait much longer than an API will since APIs have strict latency expectations due to timeouts. When you take a multi-tier approach to solve a data related problem, each layer you add to the composition of your solution, you are baking in a certain latency.

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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. Download today.