Software Architecture
AUGUST 24, 2017
Memcached is in-memory key value store whereas Redis is in-memory data structures store. Memcached supports only string data type which is ideal for storing read-only data. Redis supports almost all types of data. Redis can also be used as a messaging system such as pubsub. Memcached cannot be used as a pubsub system. Memcached is more memory efficient than Redis.
Particular Software
AUGUST 24, 2017
Decision making is tricky business. Decisions often move up and down the chain of command without the input of those best equipped to make those decisions. In smaller companies, there's often too much reliance on the CEO, and that doesn't scale as the company grows. Ultimately, we can easily end up in a situation where the input of those most knowledgeable is not considered.
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Professor Beekums
AUGUST 19, 2017
One thing that tripped me up early on in my career was the difference between performance and scalability. At first I thought they were exactly the same. I was quite surprised when my first project to scale a system actually made my code run slower… in my dev environment at least. Let’s get definitions out of the way. Scalability is being able to handle large amounts of users/data/traffic.
Speed Curve
AUGUST 21, 2017
The key to a good user experience is quickly delivering the content your visitors care about the most. This is easy to say, but tricky to do. Every site has unique content and user engagement goals, which is why measuring how fast critical content renders has historically been a challenging task. That's why we're very excited to introduce Hero Rendering Times, a set of new metrics for measuring the user experience.
Software Architecture
AUGUST 24, 2017
In part 1 , I introduced the basics of consistency in general, write consistency, read consistency, consistency levels (CL), immediate, eventual and tunable consistency. In this part 2, I will talk about how to achieve immediate and eventual consistency using different write and read consistency levels. Source: [link] Cassandra has tunable consistency which means that not only on the database level, you can tune the immediate and eventual consistency of your data per query/operation by setting t
The Polyglot Developer
AUGUST 23, 2017
When building an application, regardless if it is mobile, web, or neither, it is a good idea to come up with a collection of tests that can be used in a continuous integration scenario. I must admit, I don’t have the best habits when it comes to writing tests, but I’m sure my applications would be significantly better if I did. Previously I had written about unit testing in Golang as well as unit testing in NativeScript with Angular.
Brendan Gregg
AUGUST 24, 2017
While all eyes and instruments were aimed at the total eclipse of August 21st, I had a video camera pointed in the opposite direction. I was hoping to catch changes in the landscape – perhaps the Moon's shadow as it raced by. This was filmed from on a road north east of Madras, Oregon, almost right on the center line. It was just an experiment that I wasn't going to share, but when I saw it afterwards I thought it might interest some.
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Alex Podelko
AUGUST 24, 2017
There was a rather heated discussion around A Context-Driven Approach to Automation in Testing by James Bach and Michael Bolton (referred below as the article and the authors – other references would be explicit). Here are a couple of places where it got fiercely attacked Reviewing “Context Driven Approach to Automation in Testing” by Chris McMahon. and Open letter to “CDT Test Automation” reviewers as well as in many other different places.
Software Architecture
AUGUST 24, 2017
For a quick introduction on what Apache Cassandra is, take a look here. Consistency is a significantly large topic to cover in one part. So I’ll be completing it in 3 parts. This first part defines consistency in general, write consistency, read consistency, consistency levels (CL), immediate, eventual and tunable consistency. Consistency The topic and concept of consistency is very important when you work with a distributed database like Cassandra.
Software Architecture
AUGUST 24, 2017
In part 2 , I explained how to achieve immediate and eventual consistency using different write and read consistency levels. In this part, I’ll go a bit deeper into understanding different configuration settings and consistency levels. Immediate Consistency with Write CL = ALL, Read CL = ONE The write request is sent to all replicas. Complete write operation is considered successful when all replicas respond a write success.
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