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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. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management. Scalability and failover Extensions 2.0 and focusing on a much-improved version 2.0 Extensions 2.0 Extensions 2.0 Extensions 2.0

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. Occasionally, these use cases involve terabytes of data, so we have to pay attention to performance.

Systems 226
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Advancing Application Performance With NVMe Storage, Part 2

DZone

Using local SSDs inside of the GPU node delivers fast access to data during training, but introduces challenges that impact the overall solution in terms of scalability, data access, and data protection. For example, one well-respected vendor's standard solution is limited to 7.5TB of internal storage, and it can only scale to 30TB.

Storage 100
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Machine Learning for Fraud Detection in Streaming Services

The Netflix TechBlog

Although model-based anomaly detection approaches are more scalable and suitable for real-time analysis, they highly rely on the availability of (often labeled) context-specific data. In semi-supervised anomaly detection models, only a set of benign examples are required for training.

C++ 312
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Causal AI use cases for modern observability that can transform any business

Dynatrace

Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance. Software development.

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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Practical Applications of DBMS DBMS finds practical applications in various fields.

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Excited by the Upcoming CMG imPACt Performance and Capacity Conference

Alex Podelko

I am very excited by the upcoming CMG imPACt performance and capacity conference. It is only such vendor-neutral, 4-day, 5-track conference devoted completely to performance, capacity, scalability, and adjacent topics. This year it would be held on November 6-9, 2017 in New Orleans, LA. Full program.

IoT 113