Transaction Layer Security. Transaction Level Security. Transfer-Line Spill. Transformed Least Squares. Translocated in Liposarcoma-associated protein. Transmission-Line Stamp. Transmit Level Sensor. Transparent LAN Service. Transperfect Legal Solutions. Transponder Landing System.
Transport LAN Service. Transport Layer Security. Trimmed Leaf Size. Trinity Lutheran School. Triple Lead Sheath. Triple Link Suspension. Tumor Lysis Syndrome. You can read Tweets regularly on your Twitter homepage. But most people, I think, use desktop-based applications that notify you of new Tweets in full text. At first I found these distractions endearing, seeing the things people were experiencing and learning things from their links or learning about news from what people were interested in.
But enduring these mini-distractions quickly became overwhelming for me. And if you turn off the desktop application, you should be keeping up with Tweets regularly since twittering and reading tweets are both integral to the experience. We owe it to our users to protect the security, privacy, and integrity of their data — all data must be encrypted while in flight and at rest.
Historically, concerns over performance have been the common excuse to avoid these obligations, but today that is a false dichotomy. Let's dispel some myths. The process of establishing and communicating over an encrypted channel introduces additional computational costs. First, there is the asymmetric public key encryption used during the TLS handshake. Then, once a shared secret is established, symmetric encryption takes over. Good news is, modern hardware has made great improvements to help minimize these costs, and what once may have required additional hardware can now be done efficiently by the CPU.
We have deployed TLS at a large scale using both hardware and software load balancers. HTTP keepalives and session resumption mean that most requests do not require a full handshake, so handshake operations do not dominate our CPU usage.
Before the client and the server can begin exchanging application data over TLS, the encrypted tunnel must be negotiated, which introduces additional roundtrips for each new connection.
However, we don't have to incur the cost of a full handshake in every case: TLS resumption and TLS False Start decrease the cost to a single roundtrip for new and returning clients. A well tuned TLS deployment can make an enormous positive difference in the user experience, as well as in your operational costs. Star Branches Tags. Could not load branches.
Could not load tags. Latest commit. Git stats 47 commits. Failed to load latest commit information. View code. Twitter Logging Service Background Twitter created a framework for logging in order to fulfill the following requirements: fast no blocking the main thread thread safe as easy as NSLog in most situations support pluggable "output streams" to which messages will be delivered "output streams" filter messages rather than global filtering for all "output streams" able to categorize log messages log channels able to designate importance to log messages log levels require messages to opt-in for persisted logs a security requirement, fulfilled by using the context feature of TLS Twitter has been using Twitter Logging Service since January with minimal changes.
List of good alternative logging frameworks If Twitter Logging Service doesn't meet your needs, there are many great logging frameworks available, including the following high quality and well maintained projects: CocoaLumberjack SwiftyBeaver Apache Logging Services Architecture There are 3 components to consider: the log message and its context the logging service instance or singleton the output stream s The log message is sent to the logging service which provides the message to each output stream.
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