ChinaNetCloud Online Lecture: Fight Against External Attacks From Different L...ChinaNetCloud
Internet makes the world brand-new, but it also put the system safety in danger— security problems such as DDOS attacks, data theft, and BotNet always bothering IT operations teams. How can we defend ourselves from these types of attack? By implementing four layers of security protection: network, system, code, and operation maintenance.
On July 5, Wang Han, senior architect of ChinaNetCloud shared our view points about “How to resist external attacks” with dozens of audience through webinar.
ChinaNetCloud Online Lecture: Fight Against External Attacks From Different L...ChinaNetCloud
Internet makes the world brand-new, but it also put the system safety in danger— security problems such as DDOS attacks, data theft, and BotNet always bothering IT operations teams. How can we defend ourselves from these types of attack? By implementing four layers of security protection: network, system, code, and operation maintenance.
On July 5, Wang Han, senior architect of ChinaNetCloud shared our view points about “How to resist external attacks” with dozens of audience through webinar.
The Secrets to Get New & Repeat Sales in Furniture and Furnishings IndustryGoldsoft
A sharing session specially conducted to the members of Malaysia Kuala Lumpur & Selangor Furniture Association "The secrets to get more customers and discover business potential in Furniture and Home Decoration Industry".
Eko10 - Security Monitoring for Big Infrastructures without a Million Dollar ...Hernan Costante
Nowadays in an increasingly more complex and dynamic network its not enough to be a regex ninja and storing only the logs you think you might need. From network traffic to custom logs you won't know which logs will be crucial to stop the next attacker, and if you are not planning to spend a half of your security budget in a commercial solution we will show you a way to building you own SIEM with open source. The talk will go from how to build a powerful logging environment for your organization to scaling on the cloud and storing everything forever. We will walk through how to build such a system with open source solutions as Elasticsearch and Hadoop, and creating your own custom monitoring rules to monitor everything you need. The talk will also include how to secure the environment and allow restricted access to other teams as well as avoiding common pitfalls and ensuring compliance standards.
CAT (Central Application Tracking) is a tool for monitoring applications. It collects various metrics such as transactions, events, problems, heartbeats, and more from applications and servers. It provides reports and dashboards to analyze metrics and troubleshoot issues. CAT has been used at Dianping since 2010 and has grown from monitoring 150+ servers in 2012 to over 12,000 servers in 2016.
This document provides an overview of WordPress security best practices. It discusses common attack types like vulnerable plugins and themes, password guessing, and SQL injection. It emphasizes the importance of updating plugins and themes, backing up sites, and using a security plugin to monitor for attacks and block malicious traffic. The document also demonstrates exploits in plugins like Slider Revolution and WordPress Video Gallery to illustrate the risks of outdated software.
In this session you will hear how Amazon Web Services (AWS) operates at scale and services over 1 Million customers, which maps to even more API calls every single second. Come and hear about how they deal with APIs, operate at scale and help to create lego block services that helps them to be customer obsessed.
The Secrets to Get New & Repeat Sales in Furniture and Furnishings IndustryGoldsoft
A sharing session specially conducted to the members of Malaysia Kuala Lumpur & Selangor Furniture Association "The secrets to get more customers and discover business potential in Furniture and Home Decoration Industry".
Eko10 - Security Monitoring for Big Infrastructures without a Million Dollar ...Hernan Costante
Nowadays in an increasingly more complex and dynamic network its not enough to be a regex ninja and storing only the logs you think you might need. From network traffic to custom logs you won't know which logs will be crucial to stop the next attacker, and if you are not planning to spend a half of your security budget in a commercial solution we will show you a way to building you own SIEM with open source. The talk will go from how to build a powerful logging environment for your organization to scaling on the cloud and storing everything forever. We will walk through how to build such a system with open source solutions as Elasticsearch and Hadoop, and creating your own custom monitoring rules to monitor everything you need. The talk will also include how to secure the environment and allow restricted access to other teams as well as avoiding common pitfalls and ensuring compliance standards.
CAT (Central Application Tracking) is a tool for monitoring applications. It collects various metrics such as transactions, events, problems, heartbeats, and more from applications and servers. It provides reports and dashboards to analyze metrics and troubleshoot issues. CAT has been used at Dianping since 2010 and has grown from monitoring 150+ servers in 2012 to over 12,000 servers in 2016.
This document provides an overview of WordPress security best practices. It discusses common attack types like vulnerable plugins and themes, password guessing, and SQL injection. It emphasizes the importance of updating plugins and themes, backing up sites, and using a security plugin to monitor for attacks and block malicious traffic. The document also demonstrates exploits in plugins like Slider Revolution and WordPress Video Gallery to illustrate the risks of outdated software.
In this session you will hear how Amazon Web Services (AWS) operates at scale and services over 1 Million customers, which maps to even more API calls every single second. Come and hear about how they deal with APIs, operate at scale and help to create lego block services that helps them to be customer obsessed.
詹剑锋:Big databench—benchmarking big data systemshdhappy001
This document discusses BigDataBench, an open source project for big data benchmarking. BigDataBench includes six real-world data sets and 19 workloads that cover common big data applications and preserve the four V's of big data. The workloads were chosen to represent typical application domains like search engines, social networks, and e-commerce. BigDataBench aims to provide a standardized benchmark for evaluating big data systems, architectures, and software stacks. It has been used in several case studies for workload characterization and performance evaluation of different hardware platforms for big data workloads.
The document discusses big data visualization and visual analysis, focusing on the challenges and opportunities. It begins with an overview of visualization and then discusses several challenges in big data visualization, including integrating heterogeneous data from different sources and scales, dealing with data and task complexity, limited interaction capabilities for large data, scalability for both data and users, and the need for domain and development libraries/tools. It then provides examples of visualizing taxi GPS data and traffic patterns in Beijing to identify traffic jams.
Spark is an open source cluster computing framework originally developed at UC Berkeley. Intel has made many contributions to Spark's development through code commits, patches, and collaborating with the Spark community. Spark is widely used by companies like Alibaba, Baidu, and Youku for large-scale data analytics and machine learning tasks. It allows for faster iterative jobs than Hadoop through its in-memory computing model and supports multiple workloads including streaming, SQL, and graph processing.
This document describes an interactive batch query system for game analytics based on Apache Drill. It addresses the problem of answering common ad-hoc queries over large volumes of log data by using a columnar data model and optimizing query plans. The system utilizes Drill's schema-free data model and vectorized query processing. It further improves performance by merging similar queries, reusing intermediate results, and pushing execution downwards to utilize multi-core CPUs. This provides a unified solution for both ad-hoc and scheduled batch analytics workloads at large scale.
刘诚忠:Running cloudera impala on postgre sqlhdhappy001
This document summarizes a presentation about running Cloudera Impala on PostgreSQL to enable SQL queries on large datasets. Key points:
- The company processes 3 billion daily ad impressions and 20TB of daily report data, requiring a scalable SQL solution.
- Impala was chosen for its fast performance from in-memory processing and code generation. The architecture runs Impala coordinators and executors across clusters.
- The author hacked Impala to also scan data from PostgreSQL for mixed workloads. This involved adding new scan node types and metadata.
- Tests on a 150 million row dataset showed Impala with PostgreSQL achieving 20 million rows scanned per second per core.
18. 问题与改进 - 6
• 问题:在storm上写非java程序丌方便
• 原因:ShellBolt采用JSON格式做数据交换,多个程
序用管道串起来时都需要组装、解析JSON
• 改进:更简单的多语言编程接口StreamingBolt
– stdin
• Id t data
– stdout
• Id t emit t data
• Id t ack t data
– Stderr
• log
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