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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. All metrics, traces, and real user data are also surfaced in the context of specific events.

Metrics 188
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339
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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. All metrics, traces, and real user data are also surfaced in the context of specific events.

Metrics 130
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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. According to Google’s SRE handbook , best practices, there are “ Four Golden Signals ” we can convert into four SLOs for services: reliability, latency, availability, and saturation.

Software 272
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. To observe model drift and accuracy, companies can use holdout evaluation sets for comparison to model data.

Cache 212
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Reinforcement Learning for Budget Constrained Recommendations

The Netflix TechBlog

A bandit recommender system constructing a slate of K items may look like the following: A bandit style recommender system for slate construction To insert an element at slot k in the slate, the item scorer scores all of the available N items and may make use of the slate constructed so far (slate above) as additional context.

Metrics 178
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Automated DevSecOps release validation ensures security by default

Dynatrace

Security vulnerabilities are checked throughout the lifecycle, including comparisons against previous releases. To enrich a release validation with security, simply add one of the out-of-the-box Dynatrace security metrics to your release validation dashboard. Further Managed deployment options will be released in a future release.