New AWS Developer Training in Collaboration with edX.org

I recently heard my manager (Ariel Kelman, VP of Marketing for AWS) talk about the important role that education plays in our work. In fact, he assigned it a significantly higher priority than traditional marketing activities that focus on leads or conversions. I’ve also heard our other leaders talk about their work to create highly scalable education programs that will allow developers, architects, and other IT professionals to improve their skills and to earn AWS Certifications.
AWS Developer Professional Series Today I would like to tell you about the new AWS Developer Professional Series. The AWS Training and Certification team has teamed up with edX to create this new three-part series. Founded by MIT and Harvard, edX is the leading non-profit online learning destination, with a global community of over 14 million learners, backed up by 130 global partners including universities, non-profits, and institutions. This collaboration expands our offerings, and


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{mark} – a new universal data format, better than JSON or XML

README.md

Objective Markup Notation, abbreviated as Mark or {mark}, is a new unified notation for both object and markup data. The notation is a superset of what can be represented by JSON, HTML and XML, but overcomes many limitations these popular data formats, yet still having a very clean syntax and simple data model.
It has clean syntax with fully-type data model (like JSON or even better)
It is generic and extensible (like XML or even better)
It has built-in mixed content support (like HTML5 or even better)
It supports high-order composition (like S-expressions or even better)

Mark
JSON
HTML
XML
S-expr
YAML
Clean syntax
yes
yes
no
verbose
yes
yes (only for basic usage)
Fully-typed
yes
yes
no
no
yes
yes
Generic
yes
yes
no
yes

yes
Mixed content support
yes
hard
yes
yes

hard
High-order composition
yes
possible
no
verbose
yes
?
Wide adoption
not (at the moment)
yes
yes
yes
limited
limited
Mark Syntax
The major syntax extension Mark makes to JSON is the introduction of a Mark object. It is a JSON object extended with a type name and a list of content items, similar to element in HTML and XML.
For example, a HTML registration


Original URL: http://feedproxy.google.com/~r/feedsapi/BwPx/~3/PvWenxTGU9M/mark

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MySQL query analysis in Go

Over the past months, the number of transactions and traffic processed by Luno has skyrocketed. Keeping pace with this growth has required the engineering team to scale and optimise the performance of all our systems.

In this blog post, we’ll describe a tool we developed to investigate and optimise our MySQL database queries that has played a major role in this effort so far.
Design considerations
At Luno, we use a microservice architecture. All our services are written in Go and our primary database is MySQL. Unfortunately, MySQL server doesn’t provide much in the way of fine-grained query-level statistics. To gain better visibility into our database queries, we opted to develop a client-side solution: a wrapper around the Go MySQL driver that intercepts all the queries and records various metrics. It can be easily dropped into existing code that uses the Go database/sql package for database access without any modification.
Prometheus metrics
We use Prometheus


Original URL: http://feedproxy.google.com/~r/feedsapi/BwPx/~3/g7WmtgEUeXM/luno-engineering-mysql-query-analysis-go

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