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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 199
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. AI observability and data observability The importance of effective AI data analysis to organizational success places a burden on leaders to better ensure that the data on which algorithms are based is accurate, timely, and unbiased.

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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 fact, this is one of the major things that [hold] people back from really adopting DevOps principles.”

DevOps 242
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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth. Data volumes are growing all the time, making it harder to orchestrate, process, and analyze to turn information into insight. All of these factors challenge DevOps maturity. What is DevOps maturity?

DevOps 192
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Enhanced root cause analysis using events

Dynatrace

A common challenge of DevOps teams is they get overwhelmed with too many alerts from their observability tools. DevOps teams don’t need just more noise—they need smarter alerting that is automatic, accurate, and actionable with precise root cause analysis. What you need to know for root cause analysis.

DevOps 190
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9 key DevOps metrics for success

Dynatrace

You have set up a DevOps practice. As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. DevOps metrics to help you meet your DevOps goals. Dynatrace news.

DevOps 209
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What is MTTR? How mean time to repair helps define DevOps incident management

Dynatrace

DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). A 2022 Outage Analysis report found that enterprises are struggling to achieve a measurable reduction in outage rates and severity. Mean time to respond (MTTR) is the average time it takes DevOps teams to respond after receiving an alert.

DevOps 216