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Simplify log onboarding: From zero to observability in minutes

Dynatrace

During this process, OneAgent detects and links technologies , such as Java, Docker, or Microsoft IIS, for improved parsing and log analysis. In addition, the Dynatrace Log ingestion API supports additional use cases not covered by the aforementioned methods, such as Edge Computing, IoT, or Point-of-Sales (PoS) use cases.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

This decoupling simplifies system architecture and supports scalability in distributed environments. Kafka stores and distributes data through a partitioned log system, which spans multiple brokers to provide fault tolerance and scalability. What is RabbitMQ? This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147
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Dynatrace joins the OpenTelemetry project

Dynatrace

The Dynatrace platform automatically integrates OpenTelemetry data, thereby providing the highest possible scalability, enterprise manageability, seamless processing of data, and, most importantly the best analytics through Davis (our AI-driven analytics engine), and automation support available.

IoT 53
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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. GCF also has relevance in IoT and file processing tasks. How Google Cloud Functions works. Avoid lock-in with open-source technologies. GCF use cases.

Google 246
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What is RabbitMQ Used For

Scalegrid

It particularly stands out in several fields, such as: Telecommunications Healthcare Finance E-commerce IoT Within these domains, RabbitMQ harnesses its potential to process substantial data and manage real-time operations effectively. The versatility of RabbitMQ is further enhanced with support for AMQP 1.0

IoT 130
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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g., You can also use triggers to power many modern Internet of Things (IoT) use cases. Amazon Redshift) and Elasticsearch machines. Summing It All Up.

Database 156
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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. 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.

IoT 52