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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. However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging.

DevOps 194
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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. DevOps, SREs, developers… everyone will ask questions. When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics.

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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

But with this speed, agility, and innovation come new challenges. Learn how to easily incorporate software intelligence capabilities into applications’ lifecycle and apply service-level objectives (SLOs) for critical metrics, including performance, quality, and security while adhering to operations standards.

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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. This includes collecting metrics, logs, and traces from all applications and infrastructure components.

Cloud 183
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How a data lakehouse brings data insights to life

Dynatrace

Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments. Further, these resources support countless Kubernetes clusters and Java-based architectures. Metrics are often tracked and measured relative to a baseline or threshold.

Analytics 217
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Dynatrace launches automatic end-to-end observability via traces for AWS Lambda (Preview program)

Dynatrace

Serverless functions extend applications to accelerate speed of innovation. Although the adoption of serverless functions brings many benefits, including scalability, quick deployments, and updates, it also introduces visibility and monitoring challenges to CloudOps and DevOps. Improved mapping and topology detection.

Lambda 291
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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 184