Remove Azure Remove Best Practices Remove Development Remove Open Source
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Monitoring-as-code through Dynatrace’s Open-Source Initiative

Dynatrace

While this standard is an amazing leap forward to giving developers control over observability, they are often still not able to control how the observability platform itself is behaving. This self-service model will ensure that your developers can focus more time on building business services. Configuration as templates.

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Part 1: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

Developing a shared language of service level objectives (SLOs). Automating lifecycle orchestration including monitoring, remediation, and testing across the entire software development lifecycle (SDLC). Microsoft’s GitHub is the largest open-source software community in the world with millions of open-source projects.

Software 246
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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. This session revisits the pillar and its best practices.

AWS 52
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Cloud Automation workshop roadshow: Kick-off

Dynatrace

For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system. Hands-on 2: Codify your SLOs.

Cloud 212
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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Adding to the complexity are containers–tools for cloud development—which can be ephemeral. What is AIOps? AI for ITOps–and beyond.

AWS 224
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Pre-Deployment Policy Compliance

Abhishek Tiwari

In the fast-paced world of software development, the ability to deploy applications quickly and efficiently is crucial for organizations. In traditional software development practices, compliance checks often occur late in the development lifecycle, closer to deployment.

AWS 52
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Kubernetes: Challenges for observability platforms

Dynatrace

While speeding up development processes and reducing complexity does make the lives of Kubernetes operators easier, the inherent abstraction and automation can lead to new types of errors that are difficult to find, troubleshoot, and prevent. That’s why developers and SRE’s rely on telemetry data (i.e., The Kubernetes experience.