This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.
This enables customers to serve content to their end users with low latency, giving them the best application experience. In 2008, AWS opened a point of presence (PoP) in Hong Kong to enable customers to serve content to their end users with low latency. Since then, AWS has added two more PoPs in Hong Kong, the latest in 2016.
For example, an e-commerce company can use real-time data on website traffic and customer behaviors to adjust pricing or launch targeted promotions during peak shopping periods. One common problem for real-time data platforms is latency, particularly at scale.
The stakes are even higher during high-traffic periods such as Black Friday or Cyber Monday. The impact of outages can be reduced by dispersing traffic across numerous CDNs, resulting in a more smooth user experience.Adopting an Active-Active policy is a critical component of a successful Multi-CDN approach.
The stakes are even higher during high-traffic periods such as Black Friday or Cyber Monday. The impact of outages can be reduced by dispersing traffic across numerous CDNs, resulting in a more smooth user experience.Adopting an Active-Active policy is a critical component of a successful Multi-CDN approach.
In technical terms, network-level firewalls regulate access by blocking or permitting traffic based on predefined rules. â€At its core, WAF operates by adhering to a rulebook—a comprehensive list of conditions that dictate how to handle incoming web traffic. You've put new rules in place.
In technical terms, network-level firewalls regulate access by blocking or permitting traffic based on predefined rules. At its core, WAF operates by adhering to a rulebook—a comprehensive list of conditions that dictate how to handle incoming web traffic. You've put new rules in place.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content