The Morning Paper
JULY 7, 2019
Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.
Dynatrace
MARCH 6, 2024
During a breakout session at the Dynatrace Perform 2024 conference, Dynatrace DevSecOps activist Andreas Grabner and staff engineer Adam Gardner demonstrated how to use observability to monitor an IDP for key performance indicators (KPIs). They shouldn’t worry about the platform; they should just start writing code.”
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Dynatrace
NOVEMBER 6, 2023
Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. The challenges that developers face with modern cloud environments are myriad.
Dynatrace
FEBRUARY 12, 2024
When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. Because of this, it’s critical for organizations to have end-to-end visibility across on-premises, cloud, and hybrid deployments.
Dynatrace
JANUARY 23, 2024
Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI data analysis can help development teams release software faster and at higher quality. In what follows, we explore these key cloud observability trends in 2024.
Dynatrace
MARCH 3, 2020
By 2023, over 500 million digital apps and services will be developed and deployed using cloud-native approaches. For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. Industry apps explosion. Performance-as-a-self-service .
Dynatrace
APRIL 18, 2022
Andreas Grabner, DevOps Activist at Dynatrace, took to the virtual stage at the recent Dynatrace Perform conference to describe how the open source Keptn project automates the configuration of observability tools, dashboards, and alerting based on service-level objectives (SLOs). Dynatrace developed and released Keptn to open source in 2020.
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