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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. 60 seconds to self-upgrading observability on Google Kubernetes Engine. Conclusion.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321
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Mastering Hybrid Cloud Strategy

Scalegrid

It provides significant advantages that include: Offering scalability to support business expansion Speeding up the execution of business plans Stimulating innovation throughout the company Boosting organizational flexibility, enabling quick adaptation to changing market conditions and competitive pressures.

Strategy 130
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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. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130
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What is cloud-native architecture? Set yourself up for cloud success

Dynatrace

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Microservices. Stateless whenever possible.

Cloud 162
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Release readiness through AI-based white box resiliency testing with JMeter and Dynatrace

Dynatrace

While the test step, use case, and thread group name context are helpful we also want to speed up the analysis of individual requests that fail. A decent solution is the W3C Trace context standard , created by Dynatrace, Google, Microsoft, and others. The white box load testing project setup.

Testing 218
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Generative AI in the Enterprise

O'Reilly

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more. But they may back off on AI development.