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Java memory optimizations: 3x Jenkins performance improvement with Dynatrace

Dynatrace

In my last blog I covered how our Engineering Productivity (EP) and Infrastructure & Services (IAS) Teams are ensuring that our DevOps tool chain is running as expected, even while workloads have shifted as our global engineering teams are now working from home. But let’s start from the beginning: Step #1 – Switching to Java 11.

Java 254
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DevOps observability: A guide for DevOps and DevSecOps teams

Dynatrace

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. DevOps and DevSecOps practices help organizations release software faster and more frequently, paving the way for digital transformation.

DevOps 196
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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

In recent years, the number of vulnerabilities has overtaken the ability to effectively monitor IT environments manually. Instead, they need to enlist software intelligence to monitor their systems end to end to identify and prioritize remediation efforts. Spring4Shell vulnerabilities expose Java Spring Framework apps to exploitation.

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Dynatrace launches automatic end-to-end observability via traces for AWS Lambda (Preview program)

Dynatrace

We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. Dynatrace can monitor AWS Lambda functions automatically, just like any other service. With these steps complete, your Lambda functions are now fully monitored.

Lambda 292
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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. With that, Software engineers, SREs, and DevOps can define a broad automation and remediation mapping. Are you a managed customer?

DevOps 283
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New analytics capabilities for messaging system-related anomalies

Dynatrace

To know which services are impacted, DevOps teams need to know what’s happening with their messaging systems. Seamless observability of messaging systems is critical for DevOps teams. As a result, DevOps teams usually spend a significant amount of time troubleshooting anomalies, resulting in high MTTR and SLO violations.

Analytics 185
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Log4j 2 Vulnerability: Identifying and Minimizing Production Risk

Dynatrace

As organizations work to find the usage of this library in their applications, they should focus on three criteria to prioritize the fix in their environment: Public Internet Exposure – Are the Java processes using these libraries directly accessible from the internet? Application List – Which applications use these libraries?

Java 239