IT Pros’ Happiness Depends Heavily on Co-Workers
Spiceworks survey shows positive workplace relationships rank above money as key to job satisfaction.
Spiceworks survey shows positive workplace relationships rank above money as key to job satisfaction.
Sigfox often deploys antennas on billboards to speed deployment.
Its secret sauce has been its relationships with operators.
Buffering packets in a network is both good and bad. It is good because a buffer can hold packets from one stream while another stream’s packets are being processed, to take up and release short bursts of traffic, to hold and then release packets when there is a very short interruption on the wire (or during a route change), and in many other situations. However, queues are bad when there is a standing queue, which means a particular flow always has some number of packets in a particular queue along the path between the source and the destination. This normally occurs at the narrowest point along the path, or rather the link with the lowest bandwidth. In a previous post, I looked at BBR, a change to the way TCP computes its window sizes, that attempts to reduce the amount of traffic “in flight” between a sender and receiver to reduce the number of packets being held in a particular buffer along the way.
This post will consider another solution: CoDel. CoDel is essentially an improved tail drop mechanism that provides the correct signals to TCP to slow down its send rate, or rather to reduce the window size (and Continue reading
Radcom carves out a CTO spot; Arista vet steps down.
VMware is taking telecom seriously.
When it comes to multi domain or Inter datacenter communication, minimizing the broadcast traffic between the datacenters is an important scaling requirement. Especially if you are dealing with millions of end hosts, localizing the broadcast traffic is critical to save resources on the network and the end hosts. Resources are bandwidth , CPU , memory […]
The post Interdatacenter broadcast control – ARP Proxy in OTV and EVPN appeared first on Cisco Network Design and Architecture | CCDE Bootcamp | orhanergun.net.
This is a guest repost by Ken Fromm, a 3x tech co-founder — Vivid Studios, Loomia, and Iron.io. Here's Part 1 and 2 and 3.
This post is the last of a four-part series of that will dive into developing applications in a serverless way. These insights are derived from several years working with hundreds of developers while they built and operated serverless applications and functions.
The platform was the serverless platform from Iron.io but these lessons can also apply to AWS Lambda, Google Cloud Functions, Azure Functions, and IBM’s OpenWhisk project.
Arriving at a good definition of cloud IT security is difficult especially in the context of highly scalable distributed systems like those found in serverless platforms. The purpose of this post is to not to provide an exhaustive set of principles but instead highlight areas that developers, architects, and security officers might wish to consider when evaluating or setting up serverless platforms.
High-scale task processing is certainly not a new concept in IT as it has parallels that date back to the days of job processing on mainframes. The abstraction layer provided by serverless process — in combination with Continue reading
The post Worth Reading: Redliner appeared first on 'net work.