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Dynatrace KSPM: Transforming Kubernetes security and compliance

Dynatrace

The time has come to move beyond outdated practices and adopt solutions designed for the realities of Kubernetes environments. This empowers teams to efficiently deliver secure, compliant Kubernetes applications by design. Ready to see the full potential of Dynatrace KSPM for your workloads?

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Dynatrace achieves AWS Outposts Ready designation

Dynatrace

We’re therefore excited to announce that Dynatrace has received the AWS Outposts Service Ready designation. Watch this Dynatrace Power Demo to learn more about Dynatrace AWS monitoring and how Dynatrace Davis spots problems in real time and provides business impact and root cause analysis. Next steps.

AWS 275
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Introducing Configurable Metaflow

The Netflix TechBlog

This has been a guiding design principle with Metaflow since its inception. Scaling experiments with Metaboost bindingsbacked by MetaflowConfig Consider a Metaboost ML project named `demo` that creates and loads data to custom tables (ETL managed by Maestro), and then trains a simple model on this data (ML Pipeline managed by Metaflow).

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Build resilient IT systems and manage regulatory requirements with compliance and resilience capabilities from Dynatrace

Dynatrace

They offer a comprehensive end-to-end solution to these challenges, providing functionalities designed to enhance compliance and resilience in IT environments. Contact us for a personalized demo to learn more about how Dynatrace can transform your approach to compliance and resilience.

Systems 264
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Dynatrace achieves Amazon RDS Service Ready designation

Dynatrace

We’re therefore excited to announce that Dynatrace has received the Amazon RDS Service Ready designation. Achieving this designation differentiates Dynatrace as an AWS Advanced Technology Partner with a product that is integrated with Amazon RDS and is generally available and fully supported. Next steps.

Design 217
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Using JSONB in PostgreSQL: How to Effectively Store & Index JSON Data in PostgreSQL

Scalegrid

Not all index types support all operator classes, so planning is needed to design your indexes based on the type of operators and queries that you plan on using. demo=# select * from books where data ? demo=# explain analyze select * from books where data ? demo=# explain analyze select * from books where data ?

Storage 321
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Beyond “Prompt and Pray”

O'Reilly

When we talk about conversational AI, were referring to systems designed to have a conversation, orchestrate workflows, and make decisions in real time. Its quick to implement and demos well. By predefined, tested workflows, we mean creating workflows during the design phase, using AI to assist with ideas and patterns.