- ISPs Remove Their Customers’ Email Encryption (EFF) — ISPs have apparently realised that man-in-the-middle is their business model.
- Dynomite (Netflix) — a sharding and replication layer. Dynomite can make existing non-distributed datastores, such as Redis or Memcached, into a fully distributed & multi-datacenter replicating datastore.
- After Docker — smaller, easier to manage, more secure containers via unikernels and immutable infrastructure.
- Pixelapse — something between Dropbox and Github for the design workflow and artifacts.
High-performing memory throws many traditional decisions overboard
Over the past decade, SSD drives (popularly known as Flash) have radically changed computing at both the consumer level — where USB sticks have effectively replaced CDs for transporting files — and the server level, where it offers a price/performance ratio radically different from both RAM and disk drives. But databases have just started to catch up during the past few years. Most still depend on internal data structures and storage management fine-tuned for spinning disks.
Citing price and performance, one author advised a wide range of database vendors to move to Flash. Certainly, a database administrator can speed up old databases just by swapping out disk drives and inserting Flash, but doing so captures just a sliver of the potential performance improvement promised by Flash. For this article, I asked several database experts — including representatives of Aerospike, Cassandra, FoundationDB, RethinkDB, and Tokutek — how Flash changes the design of storage engines for databases. The various ways these companies have responded to its promise in their database designs are instructive to readers designing applications and looking for the best storage solutions.
Find emergent properties and solutions to new computing problems with graphs
Graph databases haven’t made the news much because, I think, they don’t fit in convenient categories. They certainly aren’t the relational databases we’re all familiar with, nor are they the arbitrary keys and values provided by many NoSQL stores. But in a highly connected world–where it’s not what you know but whom you know–it makes intuitive sense to arrange our knowledge as nodes and edges.
Ted Nelson, inventor of the hyperlink, recognized the power of viewing life in graphs. After the implosion of his historic Xanadu project, he embarked on a graph database tool called ZigZag. The most modern instantiations of graphs–the Neo4j store and the Alchemy.js tool for interactively visualizing graphs–were well represented this year at O’Reilly’s Open Source convention.