(OpenSource, event etc.); Developer, engineer, lead lost & found || Grab coffee/beer/food; 3. Hedged requests in Go - Oleg Kovalov 4. Afterparty, slowly moving to a place close byJoin Slido for Q&ALooking

generally consists of one or more RequestHandler subclasses, an Application object which routes incoming requests to handlers, and a main() function to start the server. A minimal “hello world” example looks something Application object is responsible for global configuration, including the routing table that maps requests to handlers. The routing table is a list of URLSpec objects (or tuples), each of which contains Applications that wish to use JSON instead of form-encoding may override prepare to parse their requests: 24 Chapter 6. DocumentationTornado Documentation, Release 6.5.1 def prepare(self): if self.request

generally consists of one or more RequestHandler subclasses, an Application object which routes incoming requests to handlers, and a main() function to start the server. A minimal “hello world” example looks something Application object is responsible for global configuration, including the routing table that maps requests to handlers. The routing table is a list of URLSpec objects (or tuples), each of which contains Applications that wish to use JSON instead of form-encoding may override prepare to parse their requests: def prepare(self): if self.request.headers.get("Content-Type", "").startswith("application/json"):

the relevant changes ii. Sampling and examining pull requests from larger population or those relevant to production incidents 1. Bad pull requests – typically doesn’t have enough context for the reader changes intended outcome, or explanation of the thought process behind the change 2. Good pull requests – sufficient detail on why the change is made, how the change was made, and identified risks and

the functionality to users and other stakeholders and receives feedback. The team then adds user requests for new features to the program backlog, and places tasks that address defects and uncompleted element in attaining the benefits of Agile practices. Long contracting timelines and costly change requests have become major hurdles in executing Agile developments and enabling small, frequent releases process helps the development team to quickly and easily clarify requirements and respond to user requests, thus implementing features more likely to be accepted by the user. User acceptance of capabilities

measures several million global active desktop users’ clickstream data. Data consists of users’ web requests & is collected from web services / applications, such as VPNs and browser extensions. Users must measures several million global active desktop users’ clickstream data. Data consists of users’ web requests & is collected from web services / applications, such as VPNs and browser extensions. Panel is measures several million global active desktop users’ clickstream data. Data consists of users’ web requests & is collected from web services / applications, such as VPNs and browser extensions. Panel is

have been part of the problem to come along Changing the Laws of Engineering with GitHub Pull Requests by Ralph Bodenner (New Relic) https://bit.ly/pull-request-your-culture  How you change your process

to distribute unemployment benefits, to regulate fish and wildlife. In 2012 they oversaw eighty requests totaling more than $400 million. And they issue standards and guidance to various agencies on

‘applications affected’ don’t even have what I need. It’s why I’ve stopped even putting in change requests.”  “I have to manually type in hundreds of server names in one of the text boxes. Most of the

make_jobs(n)); # feed the jobs channel with "n" jobs julia> for i in 1:4 # start 4 tasks to process requests in parallel errormonitor(@async do_work()) end julia> @elapsed while n > 0 # print out results 23.4 Tasks and events Most task switches occur as a result of waiting for events such as I/O requests, and are performed by a scheduler included in Julia Base. The scheduler maintains a queue of runnable the jobs channel with "n" jobs julia> for p in workers() # start tasks on the workers to process requests in parallel remote_do(do_work, p, jobs, results) end julia> @elapsed while n > 0 # print out