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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else.

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Transform mainframe applications into z/OS Java services with end-to-end transaction visibility and anomaly detection (Preview)

Dynatrace

Although these COBOL applications operate with consistent performance, companies and governments are forced to transform them to new platforms and rewrite them in modern programming languages (like Java) for several reasons. Thus, implementing applications in Java can result in considerable financial savings.

Java 172
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Kubernetes in the wild report 2023

Dynatrace

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Java, Go, and Node.js Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Strongest Kubernetes growth areas are security, databases, and CI/CD technologies.

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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 163
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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. For fast processing of the events, we use different settings of Kafka consumer and Java executor thread pool. Backend processing may take time from seconds to minutes.

Media 237
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured. We chose Open-Zipkin because it had better integrations with our Spring Boot based Java runtime environment. Storage: don’t break the bank!

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What is Google Cloud Functions?

Dynatrace

Scalability is a major feature of GCF. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable. How Google Cloud Functions works. Pay only for accumulated usage.

Google 211