Sat.Dec 23, 2017 - Fri.Dec 29, 2017

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How a RESTful API server reacts to requests

O'Reilly Software

Learn how to properly design RESTful APIs communication with clients, accounting for request structure, authentication, and caching. This series of articles shows you how to derive an easy-to-use, robust, efficient API to serve users on the web or on mobile devices. We are using the principles of RESTful architecture over HTTP. In the first piece, we started from a list of specs for a simple bike rental service, defining URLs and the HTTP methods to serve the app.

Servers 83
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Kubernetes for Big Data Workloads

Abhishek Tiwari

Kubernetes has emerged as go to container orchestration platform for data engineering teams. Kubernetes has a massive community support and momentum behind it. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next.

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Noon Lights — an IoT Review

Adrian Cockcroft

I’ve been gradually installing some IoT automation at home over the last few months, and was looking for a lighting solution to fit a fairly complex situation. It’s a large open plan area with several connected zones, kitchen, patio, dining area, living area, with lots of light bulbs and far too many light switches. Upgrading all the bulbs to something like Philips Hue didn’t look like the right way to go, there are too many bulbs so it would be expensive, and we’d need to keep the light switche

IoT 40
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Deploying Native Node.js Dependencies On AWS Lambda

The Polyglot Developer

I was recently working on a Functions as a Service (FaaS) project using AWS Lambda and Node.js. However, I was running into an issue where my package dependencies found in my node_modules directory were for the wrong platform once deployed to Lambda. This is not the first time I experienced a problem like this. I knew the issue straight away because I encountered the same thing when trying to use a node_modules directory generated on Mac from a Windows computer.

Lambda 40
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SQL Server Management Studio Provides–“XE Profiler”

SQL Server According to Bob

Bob Ward and I worked with our SQL Server Tool developers (thanks David) to enable ‘Q uick XE Trace ’ capabilities. The feature is available in the latest SQL Server Management Studio (SSMS) release. Despite the deprecation of SQL Profiler several years ago, as well as various documents and blogs pointing out the older trace facilities shortcomings and performance impact on the SQL Server, SQL Profiler is still a top choice of SQL Server Developers and DBAs.

Servers 40
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Getting started with Conduit - lightweight service mesh for Kubernetes

Abhishek Tiwari

On this blog from very early on, we have advocated the concept of service mesh. In fact, our post a sidecar for your service mesh is one of the most viewed posts this year. When Buoyant announced the Conduit - their next-generation lightweight service mesh for Kubernetes - we were really thrilled. Buoyant is also the creator of Linkerd which is one of the most widely used service mesh currently available to the microservices community.

Traffic 40
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How machine learning is accelerating data integration?

Abhishek Tiwari

Data integration generally requires in-depth domain knowledge, a strong understanding of data schemas and underlying relationships. This can be time-consuming and bit challenging if you are dealing with hundreds of data sources and thousands of event types (see my recent article on ELT architecture ). Various data integration solution providers are trying to capitalize on this gap by offering various machine learning based features to overcome these challenges.