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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. Dynatrace Davis AI identifies the problem and maps the configuration change event to the root cause and the correct entity.

DevOps 295
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Podcast: Interview with Software Engineering Daily

Sutter's Mill

Also in April, I was interviewed by Jordi Mon Companys for Software Engineering Daily, and that interview was just published on the SE Daily podcast. government recently released a report calling on the technical community to proactively reduce the attack surface area of software infrastructure.

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

” Because of their versatility, teams can use IDPs for all types of software engineering projects, not just those in cloud-native scenarios. Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events. It lets us see events such as starts and traces in a standardized manner.”

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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix. Pallavi, what’s your journey to data engineering at Netflix?

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Designing Instagram

High Scalability

FUN FACT : In this talk , Dikang Gu, a software engineer at Instagram core infra team has mentioned about how they use Cassandra to serve critical usecases, high scalability requirements, and some pain points. The entity C denotes the event where a user likes a post and entity D denotes the action when a user follows another user.

Design 334
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SRE vs DevOps: What you need to know

Dynatrace

The events of 2020 accelerated the trend of organizations shifting to cloud-native technologies in response to the dramatic increase in demand for online services. Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. Dynatrace news. SRE vs DevOps?

DevOps 196
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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. This significantly increases event latency.