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Service level objectives: 5 SLOs to get started

Dynatrace

These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability Availability SLO quantifies the expected level of service availability over a specific time period. Availability is typically expressed in 9’s, such as 99.9%. or 99.99% of the time.

Latency 176
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability Availability SLO quantifies the expected level of service availability over a specific time period. Availability is typically expressed in 9’s, such as 99.9%. or 99.99% of the time.

Traffic 173
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Optimizing Video For Size And Quality

Smashing Magazine

Optimizing Video For Size And Quality. Optimizing Video For Size And Quality. Over the last few years, more and more projects are using video as an integral part of the application. However, it all goes sideways when there are issues related to the video playback. Doug Sillars. 2021-02-15T15:00:00+00:00. Real-World Data.

Network 143
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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. There is an issue with this, which causes the OS to swap even with memory available.

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Implementing service-level objectives to improve software quality

Dynatrace

In what follows, we explore some of these best practices and guidance for implementing service-level objectives in your monitored environment. Best practices for implementing service-level objectives. Availability. To measure availability, we can rely on an HTTP monitor from Dynatrace Synthetic Monitoring.

Software 262
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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

Existing data got updated to be backward compatible without impacting the existing running production traffic. Data sharding completely based on the asset type may have created the wide rows considering some types like VIDEO may have many more assets compared to others like TEXT. Error Handling Errors are part of software development.

Media 237
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Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

DevOps best practices include testing within the CI/CD pipeline, also known as shift-left testing. Synthetic CI/CD testing simulates traffic to add an outside-in view to the analysis. DevOps teams can analyze user behavior analytics and, with Dynatrace Session Replay, video-like replay of individual user sessions.