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Cost-Aware Resilience: Implementing Chaos Engineering Without Breaking the Budget

DZone

Modern distributed systems, like microservices and cloud-native architectures, are built to be scalable and reliable. Chaos engineering is a useful way to test and improve system resilience by intentionally creating controlled failures. However, their complexity can lead to unexpected failures.

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O11y Guide: Finding Observability and DevEx Tranquility With Platform Engineering

DZone

By integrating observability as a first-class citizen within your platform engineering practices, you can simplify this challenge and stay on track in the ever-evolving cloud-native landscape.

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Dynatrace joins the Microsoft Intelligent Security Association

Dynatrace

As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. The Dynatrace platform has been recognized for seamlessly integrating with the Microsoft Sentinel cloud-native security information and event management ( SIEM ) solution. Audit logs.

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What is platform engineering?

Dynatrace

In response to this shift, platform engineering is growing in popularity. The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. The result is a cloud-native approach to software delivery. Why is platform engineering important?

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The keys to selecting a platform for end-to-end observability

Dynatrace

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Such fragmented approaches fall short of giving teams the insights they need to run IT and site reliability engineering operations effectively.

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Dynatrace achieves Google Cloud Ready – Cloud SQL designation

Dynatrace

Dynatrace has announced that it has successfully achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully-managed, relational database service for MySQL, PostgreSQL, and SQL Server.

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A Kubernetes platform engineering strategy tames Kubernetes complexity

Dynatrace

According to the Cloud Native Computing Foundation (CNCF), 84% of organizations are using or evaluating Kubernetes , up from 81% in 2022. The average deployment now spans 20 clusters running 10 or more software elements across clouds and data centers. Platform engineering looks to bring in a unified toolset.”

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