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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 207
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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

But with this speed, agility, and innovation come new challenges. Adopting cloud-native technologies and open source software makes applications more feature rich and scalable, but it also increases IT complexity. Spring4Shell: Detect and mitigate new zero-day vulnerabilities in the Java Spring Framework – blog.

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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 304
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Dynatrace Application Security protects your applications in complex cloud environments

Dynatrace

In our increasingly digital world, the speed of innovation is key to business success. As a result, e xisting application security approaches can’t keep up with this speed and vari ability of modern development processes. . Dynatrace news. Organizations are rushing towards cloud-native application stacks for agility.

Cloud 296
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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Microservices are an increasingly popular way to build software because of their speed and flexibility compared with traditional monolithic approaches. Queued messages are typically small and specific.

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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Microservices are an increasingly popular way to build software because of their speed and flexibility compared with traditional monolithic approaches. Queued messages are typically small and specific.

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What is application security? And why it needs a new approach

Dynatrace

IAST only works with languages that have a virtual runtime environment, such as Java, C#, Python, and Node.js. As application security shifts left to address this issue, organizations have tried to retrofit traditional AST methods to operate as part of a DevOps tool chain. Results, unfortunately, have been mixed.