Index: 081/design.html =================================================================== --- 081/design.html (revision 1688342) +++ 081/design.html (working copy) @@ -10,7 +10,7 @@

We wanted to support partitioned, distributed, real-time processing of these feeds to create new, derived feeds. This motivated our partitioning and consumer model.

-Finally in cases where the stream is fed into other data systems for serving we new the system would have to be able to guarantee fault-tolerance in the presence of machine failures. +Finally in cases where the stream is fed into other data systems for serving we knew the system would have to be able to guarantee fault-tolerance in the presence of machine failures.

Supporting these uses led use to a design with a number of unique elements, more akin to a database log then a traditional messaging system. We will outline some elements of the design in the following sections. Index: 082/design.html =================================================================== --- 082/design.html (revision 1688342) +++ 082/design.html (working copy) @@ -10,7 +10,7 @@

We wanted to support partitioned, distributed, real-time processing of these feeds to create new, derived feeds. This motivated our partitioning and consumer model.

-Finally in cases where the stream is fed into other data systems for serving we new the system would have to be able to guarantee fault-tolerance in the presence of machine failures. +Finally in cases where the stream is fed into other data systems for serving we knew the system would have to be able to guarantee fault-tolerance in the presence of machine failures.

Supporting these uses led use to a design with a number of unique elements, more akin to a database log then a traditional messaging system. We will outline some elements of the design in the following sections. Index: 083/design.html =================================================================== --- 083/design.html (revision 1688342) +++ 083/design.html (working copy) @@ -10,7 +10,7 @@

We wanted to support partitioned, distributed, real-time processing of these feeds to create new, derived feeds. This motivated our partitioning and consumer model.

-Finally in cases where the stream is fed into other data systems for serving we new the system would have to be able to guarantee fault-tolerance in the presence of machine failures. +Finally in cases where the stream is fed into other data systems for serving we knew the system would have to be able to guarantee fault-tolerance in the presence of machine failures.

Supporting these uses led use to a design with a number of unique elements, more akin to a database log then a traditional messaging system. We will outline some elements of the design in the following sections.