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Sustainability: Thoughts from a software engineer

Dynatrace

How to achieve sustainable IT practices Use observability tools The first step in driving improvements is to obtain a comprehensive view of your IT infrastructure’s climate impact. For example, reporting jobs can process monthly data without running exactly at the end of the month.

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

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Extend the AI and automation core of Dynatrace with host extensions to resolve infrastructure problems

Dynatrace

OneAgent gives you all the operational and business performance metrics you need, from the front end to the back end and everything in between—cloud instances, hosts, network health, processes, and services. All the data bound to hosts is analyzed by the Davis AI causation engine and made available on custom dashboards and events pages.

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What is platform engineering?

Dynatrace

Platform engineering is a practice that outlines how development teams build internal platforms to create self-service capabilities for software engineering teams. The result is a cloud-native approach to software delivery. Platform engineering cannot stand alone, however.

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SRE vs DevOps: What you need to know

Dynatrace

DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps is not a specific process, but rather a general collection of flexible software creation and delivery practices that looks to close the gap between software development and IT operations.

DevOps 268
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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 306
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.