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How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 189
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Answer-driven DevOps automation: Automation use cases that accelerate insights

Dynatrace

As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. In turn, manual approaches to identifying code issues and troubleshooting are not scalable. This statistic is despite the $9.1

DevOps 232
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Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Without the ability to see the logs that are relevant to your service, infrastructure, or cloud function—at exactly the right time and in exactly the right format—your cloud or DevOps engineers lose the ability to find the root causes of the issues they troubleshoot.

Cloud 251
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Accelerate and empower Site Reliability Engineering with Dynatrace observability

Dynatrace

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. SREs invest significant effort in enhancing software reliability, scalability, and dependability. However, this is highly unlikely.

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What is log management? How to tame distributed cloud system complexities

Dynatrace

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system.

Systems 185
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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. Triggering the Lambda function is event-driven and could include changes in state or an update to a file. What is a Lambda serverless function? What is Lambda Response Streaming?

Lambda 215
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How low-code/no-code AutomationEngine advances automated workflows

Dynatrace

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. The Dynatrace Grail data lakehouse enables teams to ingest logs, metrics, traces, business events, and other data to get a full picture of their hybrid and multicloud environments.

Code 210