Deep Visibility for Production MicroservicesPaul Bauer
This document discusses various aspects of system visibility for microservices including:
1. The need for targeted visibility tools to provide insights into individual services and processes since breaking a monolith reduces system-wide visibility.
2. Specific tools mentioned that can provide visibility include metrics systems like Datadog and Prometheus, collecting core dumps, profile graphs, and tracing/application performance monitoring.
3. It also notes that breaking a monolith challenges established visibility techniques by distributing processes across services and networks.
McAfee Threat Intelligence Exchange enables real-time sharing of threat intelligence across security products like endpoints and gateways. This allows the products to collectively identify threats and trends, improving threat prevention. By sharing data immediately, it can reduce the time to contain threats from months to milliseconds. The system provides adaptive threat protection, collective intelligence from multiple sources, and improved visibility, security, and efficiency.
Deep Visibility for Production MicroservicesPaul Bauer
This document discusses various aspects of system visibility for microservices including:
1. The need for targeted visibility tools to provide insights into individual services and processes since breaking a monolith reduces system-wide visibility.
2. Specific tools mentioned that can provide visibility include metrics systems like Datadog and Prometheus, collecting core dumps, profile graphs, and tracing/application performance monitoring.
3. It also notes that breaking a monolith challenges established visibility techniques by distributing processes across services and networks.
McAfee Threat Intelligence Exchange enables real-time sharing of threat intelligence across security products like endpoints and gateways. This allows the products to collectively identify threats and trends, improving threat prevention. By sharing data immediately, it can reduce the time to contain threats from months to milliseconds. The system provides adaptive threat protection, collective intelligence from multiple sources, and improved visibility, security, and efficiency.
An algorithm is an ordered set of unambiguous steps that defines a terminating process. It is an abstract concept that can have several implementations, as long as they produce the same output given the same input. Pseudocode uses primitives like assignment, conditionals, and loops to describe algorithms without ambiguity. Algorithm efficiency is measured by how its runtime grows relative to input size. The complexity of insertion sort is quadratic while binary search is logarithmic. Verifying algorithms proves their correctness through assertions at key points rather than intuitive arguments.
The document provides an overview of key components of a computer's central processing unit (CPU). It discusses the CPU's arithmetic logic unit (ALU) and control unit, as well as registers, buses, cache memory, and main memory. It also describes machine language instructions and how programs are executed through fetching, decoding, and executing instructions in sequence.
Introduction to Dr. Eric Tao at CSUMB - 4 slidesEric Tao
Dr. Eric Tao is a professor and director of multiple institutes at California State University Monterey Bay. His research focuses on innovation, entrepreneurship, e-learning technologies, and FinTech. He teaches courses in project management, computer architecture, and service learning. Dr. Tao received his Ph.D. in Computer Engineering from UC Irvine and enjoys cello, cycling, skiing, movies, seafood, and travel in his free time.
An algorithm is an ordered set of unambiguous steps that defines a terminating process. It is an abstract concept that can have several implementations, as long as they produce the same output given the same input. Pseudocode uses primitives like assignment, conditionals, and loops to describe algorithms without ambiguity. Algorithm efficiency is measured by how its runtime grows relative to input size. The complexity of insertion sort is quadratic while binary search is logarithmic. Verifying algorithms proves their correctness through assertions at key points rather than intuitive arguments.
The document provides an overview of key components of a computer's central processing unit (CPU). It discusses the CPU's arithmetic logic unit (ALU) and control unit, as well as registers, buses, cache memory, and main memory. It also describes machine language instructions and how programs are executed through fetching, decoding, and executing instructions in sequence.
Introduction to Dr. Eric Tao at CSUMB - 4 slidesEric Tao
Dr. Eric Tao is a professor and director of multiple institutes at California State University Monterey Bay. His research focuses on innovation, entrepreneurship, e-learning technologies, and FinTech. He teaches courses in project management, computer architecture, and service learning. Dr. Tao received his Ph.D. in Computer Engineering from UC Irvine and enjoys cello, cycling, skiing, movies, seafood, and travel in his free time.