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Kubernetes in the wild report 2023

Dynatrace

The report also reveals the leading programming languages practitioners use for application workloads. Java, Go, and Node.js are the top 3 programming languages for Kubernetes application workloads. Java, Go, and Node.js are the top Kubernetes programming languages. Most organizations, 72%, use Java to some degree.

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PostgreSQL Trends: Most Popular Cloud Providers, Languages, VACUUM, Query Management Strategies & Deployment Types in Enterprise

Scalegrid

This leaves our last cloud provider – Microsoft Azure, who represented 3.2% This is one of the most shocking discoveries, as Azure was tied for second with GCP back in April, and is commonly a popular choice for enterprise organizations leveraging the Microsoft suite of services. Java #Python #C Click To Tweet.

Strategy 182
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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52
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Data privacy by design: How an observability platform protects data security

Dynatrace

Consider Log4Shell, a software vulnerability in Apache Log4j 2 , a popular Java library. Owning data and creating data privacy by design Ferguson and Plank focused on two key messages as they discussed data security: Organizations always choose and control the data they process with Dynatrace. API access management.

Design 184
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Extending Dynatrace

Dynatrace

This article we help distinguish between process metrics, external metrics and PurePaths (traces). If you already have the OneAgent installed, and you’d like to bring in additional process metrics into Dynatrace , the OneAgent plugin is a good fit. OneAgent & application metrics. OneAgent & cloud metrics.

Java 134
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Observability: Modern tools for modern challenges in multicloud environments

Dynatrace

Five or six years ago, that manual approach may have been okay because you were often dealing with one runtime, like Java. AI that uses machine learning requires a slower process in order to train its algorithms. And that was well before AWS, Azure, and cloud. Systems are very dynamic.

Cloud 167
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

Simplifying the Development Process with Mock Environments. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud 52