What is Apache Traffic Server?
It is a fast, scalable and extensible HTTP/1.1 and HTTP/2.0 compliant caching proxy server.Improve your response time, while reducing server load and bandwidth needs by caching and reusing frequently-requested web pages, images, and web ser
Apache Traffic Server is a tool in the Web Cache category of a tech stack.
Who uses Apache Traffic Server?
438 companies reportedly use Apache Traffic Server in their tech stacks, including Bugsnag, Videotron, and BlackStratus.
Apache Traffic Server Integrations
CentOS, Debian, Fedora, Alpine Linux, and Mac OS X are some of the popular tools that integrate with Apache Traffic Server. Here's a list of all 6 tools that integrate with Apache Traffic Server.
Why developers like Apache Traffic Server?
Here’s a list of reasons why companies and developers use Apache Traffic Server
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Apache Traffic Server's Features
- Open Source
- Very Fast
- Load Balancer
Apache Traffic Server Alternatives & Comparisons
What are some alternatives to Apache Traffic Server?
See all alternatives
HAProxy (High Availability Proxy) is a free, very fast and reliable solution offering high availability, load balancing, and proxying for TCP and HTTP-based applications.
Varnish Cache is a web application accelerator also known as a caching HTTP reverse proxy. You install it in front of any server that speaks HTTP and configure it to cache the contents. Varnish Cache is really, really fast. It typically speeds up delivery with a factor of 300 - 1000x, depending on your architecture.
Squid reduces bandwidth and improves response times by caching and reusing frequently-requested web pages. Squid has extensive access controls and makes a great server accelerator. It runs on most available operating systems, including Windows and is licensed under the GNU GPL.
nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018.
Edge Compute Platform gives Dev and Ops engineers the access and control they need to run compute workloads on a distributed edge.