Netflix Describes its Use of Apache Mesos in 3 Use Cases
Netflix contributes its Fenzo open source code to Apache Mesos.
Mesosphere Declares ‘Container 2.0,’ the Stateful Era
There's a growing effort to create stateful containers.
snaproute Go BGP Code Dive (6): Starting a Peer
In our last post on BGP code, we unraveled the call chain snaproute’s Go BGP implementation uses to bring a peer up. Let’s look at this call chain a bit more to see if we can figure out what it actually does—or rather, how it actually works. I’m going to skip the actual beginning of the FSM itself, and just move to the first state, looking at how the FSM is designed to move from state to state. The entire thing kicks off here—
func (st *IdleState) processEvent(event BGPFSMEvent, data interface{}) {
st.logger.Info(fmt.Sprintln("Neighbor:", st.fsm.pConf.NeighborAddress, "FSM:", st.fsm.id,
"State: Idle Event:", BGPEventTypeToStr[event]))
switch event {
case BGPEventManualStart, BGPEventAutoStart:
st.fsm.SetConnectRetryCounter(0)
st.fsm.StartConnectRetryTimer()
st.fsm.ChangeState(NewConnectState(st.fsm))
....
}
What we need to do is chase down each of these three calls to figure out what they actually do. The first is simple—it just sets a retry counter (connectRetryCounter) to 0, indicating we haven’t tried to restart this peer at all. In other words, this is the first attempt to move from idle to a full peering relationship. This counter is primarily used for telemetry, which means it’s a counter used to show you, Continue reading
Verizon Flexes IoT Muscle with $2.4B Fleetmatics Deal
Verizon is likely buying the company for its customers, not its technology.
How to Setup a Highly Available Multi-AZ Cassandra Cluster on AWS EC2
This is a guest post by Alessandro Pieri, Software Architect at Stream. Try out this 5 minute interactive tutorial to learn more about Stream’s API.
Originally built by Facebook in 2009, Apache Cassandra is a free and open-source distributed database designed to handle large amounts of data across a large number of servers. At Stream, we use Cassandra as the primary data store for our feeds. Cassandra stands out because it’s able to:
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Shard data automatically
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Handle partial outages without data loss or downtime
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Scales close to linearly
If you’re already using Cassandra, your cluster is likely configured to handle the loss of 1 or 2 nodes. However, what happens when a full availability zone goes down?
In this article you will learn how to setup Cassandra to survive a full availability zone outage. Afterwards, we will analyze how moving from a single to a multi availability zone cluster impacts availability, cost, and performance.
Recap 1: What Are Availability Zones?
Worth Reading: Learning is hard
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