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Achieving High Availability in CI/CD With Observability

DZone

Since most application releases depend on cloud infrastructure, having good continuous integration and continuous delivery (CI/CD) pipelines and end-to-end observability becomes essential for ensuring highly available systems.

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Dynatrace extends Synthetic Monitoring capabilities with Network Availability Monitors to validate the availability of infrastructure and services

Dynatrace

As HTTP and browser monitors cover the application level of the ISO /OSI model , successful executions of synthetic tests indicate that availability and performance meet the expected thresholds of your entire technological stack. Our script, available on GitHub , provides details. into NAM test definitions.

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Managing PostgreSQL® High Availability – Part I: PostgreSQL Automatic Failover

Scalegrid

Managing High Availability (HA) in your PostgreSQL hosting is very important to ensuring your database deployment clusters maintain exceptional uptime and strong operational performance so your data is always available to your application. It reduces downtime and supports business continuity.

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Dynatrace observability now available for Red Hat OpenShift on IBM Z and LinuxONE mainframes

Dynatrace

Telemetry data, such as traces and metrics, allow you to analyze the end-to-end performance of your deployed applications. You can automatically detect and analyze performance issues across your entire tech stack with Davis® AI. Dynatrace observability is available for Red Hat OpenShift on IBM Power.

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Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

At Netflix, we periodically reevaluate our workloads to optimize utilization of available capacity. In both bands, performance characteristics remain consistent for the entire uptime of the JVM on the node, i.e. nodes never jumped the bands. In this blogpost we describe one such problem and the tools we used to solve it.

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Don’t just react: How executives can predict and prevent outages to maximize availability

Dynatrace

The end goal, of course, is to optimize the availability of organizations’ software. Dynatrace is widely recognized for its AI capabilities’ ability to predict and prevent issues, and automatically identify root causes, maximizing availability. That’s where observability from Dynatrace goes far beyond “observing systems.”

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Spark-Radiant: Apache Spark Performance and Cost Optimizer

DZone

Spark-Radiant is Apache Spark Performance and Cost Optimizer. Spark-Radiant will help optimize performance and cost considering catalyst optimizer rules, enhance auto-scaling in Spark, collect important metrics related to a Spark job, Bloom filter index in Spark, etc. Spark-Radiant is now available and ready to use.