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Why digital transformation hinges on SRE teams

Dynatrace

Service-level objectives (SLOs) are key to the SRE role; they are agreed-upon performance benchmarks that represent the health of an application or service. SREs need SLOs to measure and monitor performance, but many organizations lack the automation and intelligence to streamline data.

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10 tips for migrating from monolith to microservices

Dynatrace

However, it’s common that teams need to refactor an application to help with performance after the lift-and-shift operation. Components that are already loosely coupled and have few dependencies will be easier to migrate, with less chance of impacting application performance.

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How to evaluate modern APM solutions

Dynatrace

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

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Measuring the importance of data quality to causal AI success

Dynatrace

Additionally, teams should perform continuous audits to evaluate data against benchmarks and implement best practices for ensuring data quality. Observability solutions automate much of the task of identifying the variables that go into application performance and availability.

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What Is a Workload in Cloud Computing

Scalegrid

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. What is workload in cloud computing?

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What We Learned Auditing Sophisticated AI for Bias

O'Reilly

AI audit firms tend to perform a mix of audits and assessments. In particular, NIST’s SP1270 Towards a Standard for Identifying and Managing Bias in Artificial Intelligence , a resource associated with the draft AI RMF, is extremely useful in bias audits of newer and complex AI systems. being the only law firm of the bunch.

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Upcoming of the learned data structures

Abhishek Tiwari

Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. Learned indexes.