37signals recently launched public “Uptime Reports” for their applications (announcement). The reaction on Hacker News was rather tepid, but I think it’s a positive development, and I applaud 37signals for stepping forward. Reliability of cloud applications is a real concern, and there’s not nearly enough hard data out there. Not all products are equally reliable; even within 37signals, the new reports show a 3:1 variation in downtime across apps.That said, this is a fairly small step. For comparison, take a look at our public monitoring dashboard here at Sc...

Hadoop is a open source that stores and processes big data. The framework is written in Java for distributed processing and distributed storage of very large data.Hadoop is Scalable.It is a scalable platform because it stores and distributed large amount of data sets to hundreds and thousands of servers that operate in parallel. Traditional database systems cannot process large amount of data. But, hadoop enable business to run applications involving thousands of Terabyte data.Hadoop is Cost Effective.In traditional database management System, it is cost prohibitive to process mass volume...

What is Hadoop?Hadoop is one of the widely used Apache-based frameworks for big data analysis. It allows distributed processing of large data set over the computer clusters. Its scalable feature leverages the power of one to thousands of system for computing and storage purpose. A complete Hadoop framework comprised of various modules such as:Hadoop Yet Another Resource Negotiator (YARNMapReduce (Distributed processing engine)Hadoop Distributed File System (HDFS)Hadoop CommonThese four modules lie in the heart of the core Hadoop framework. There are many more modules available over the interne...

Cloud computing is often positioned as a solution to scalability problems. In fact, it seems like almost every day I read a blog post about a company moving infrastructure to the cloud. At Mixpanel, we did the opposite. I’m writing this post to explain why and maybe even encourage some other startups to consider the alternative.First though, I wanted to write a short bit about the advantages of cloud servers since they are ideal for some use cases.Low initial costs. Specifically, you can get a cloud server for less than $20. Even the cheapest dedicated servers (and I wouldn’...

Google is an expert when it comes to big data. This is evident in their development of various techniques and open source tools which are used by the big data industry professionals. These tools and technique allow Google to sift through millions of different websites and enormous amounts of data in order to provide users with correct answers in a matter of milliseconds. But how does Google accomplish that with such precision? To answer that, we need to focus on the complex activities that go on behind every search query.Entering the search queryGoogle has always wanted to make a search engine...

In a press release from earlier this year, Gartner had predicted that by the year 2018 mobile devices would account for initiating 5% of consumer services cases, registering a marginal rise of 0.02% from 2014.Research shows that most businesses lose around a whopping $83 billion owing to poor consumer services (Source: kissmetrics) in the US alone while globally, the average cost of losing a consumer is $243. It is only viable to think of automating support services as a way to lower the costs of losing a consumer and in a way contributing towards improving the revenues. Although some e-commer...

The US Presidential election 2016 is turning out as more of a global event day by day, as it’s going to influence numerous countries around the world in one or other way. It is getting more and more intense as D-day is coming closer. You can experience the energy in candidates’ vociferous debates, where they put forward their agendas, their point of views, which give us the glimpse of their philosophy and their vision towards the betterment of the country. Whether it is Democratic or Republican, both of them are stretching out harder, to convince the citizens of the United States t...

Hologres and Redshift are both data warehousing solutions, but they have some differences in terms of features, architecture, and target use cases.Underlying Infrastructure Hologres: Built on Alibaba Cloud's Apsara distributed computing platform, Hologres leverages the underlying infrastructure for storage, computation, and management. It benefits from Alibaba's expertise in cloud-native architecture and real-time data processing. Redshift: Amazon Redshift is based on a Massively Parallel Processing (MPP) architecture, designed to distribute and parallelize queries across multiple nodes for fa...