I am in Bangalore for two days. While there are many things packed into these two days short schedule, one of the most exciting ones is Google Global Network India Innovation Summit. While Google has presented across various events in past talking about their AS15169 backbone, this is the first summit where they are covering it in detail and that too with the Indian context! Must say that I find AS15169 quite fascinating on the BGP side of things.
Lately, I have been struggling to keep latency in check between my servers in India and Europe. Since Nov 2021 multiple submarine cables are down impacting significant capacity between Europe & India. The impact was largely on Airtel earlier but also happened on Tata Comm for a short duration. As of now Airtel is still routing traffic from Europe > India towards downstream networks via the Pacific route via EU > US East > US West > Singapore path.
I had calls with a couple of friends over this week and somehow discussion IPv6 deployment came up. “How much has been IPv6 deployment in India now in 2020” is a very interesting question. It’s often added with - “how much of my traffic will flow over IPv6 once it is enabled”? Game of numbers There is a drastic difference in IPv6 deployment depending on which statistic we are looking at here in India.
Often this comes into the subnetting discussion by my friends who are deploying IPv6 for the first time. How do you calculate subnets outside the 4-bit nibble boundary? This also happens to be one of starting points of APNIC IPv6 routing workshop where I occasionally instruct as community trainer. So what is a Nibble boundary? In IPv6 context, it refers to 4 bit and any change in multiple of 4 bits is easy to calculate.
APNIC and RIPE NCC are doing a hackathon at APRICOT 2018. It just started today with some light interaction with various participating members yesterday. The theme of the hackathon is around IPv6. Many cool projects were suggested yesterday and teams started working today on certain shortlisted projects like: A tool for ranking CDNs - A tool based on RIPE Atlas data to rank CDNs based on latency across different regions.