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What is DevOps? Gene Kim offers an expert view and explains how to maximize success

Dynatrace

Who better to offer some clarity than Gene Kim , former founder and CTO of Tripwire and DevOps enthusiast, who has written multiple books on the subject, including The DevOps Handbook and The Phoenix Project ? Kim joined us at Perform 2021, where he offered his own unique take and insight into DevOps from a career spanning 22 years.

DevOps 226
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Lessons learned from enterprise service-level objective management

Dynatrace

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs?

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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

Grail, the Dynatrace causational data lakehouse with a massively parallel processing analytics engine, unites observability, security, and business data from multicloud and cloud-native environments while retaining the data’s context to deliver precise answers in real time. What is a data lakehouse?

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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity. However, cloud complexity has made software delivery challenging.

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Implementing service-level objectives to improve software quality

Dynatrace

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality.

Software 272
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Data Mining Problems in Retail

Highly Scalable

More specialized data mining applications like supply chain optimization and fraud detection are out of scope, as well as the implementation details of the data mining process (such as evaluation of model quality). Outputs of this tier can be used to configure downstream processes. and the supporting data mining processes.

Retail 152