Last week, I showed you how to build and deploy a Go Web application (or API backend for a frontend framework like React or Vue) to a cloud provider, using Docker as a process manager. In this post, which is part of two of this series, I will show you a second method of deploying a Go Web app or backend to any cloud, using Docker Swarm.
Imagine having the ability to instantly know when a Kubernetes compliance or security violation occurs. Now you can with Shipa Insights. Coupling Shipa Insights with the robust notification and alerting capabilities of PagerDuty makes this very possible. Shipa has the capability of sending fine-grained events externally e.g to PagerDuty. Now with the power of Shipa Insights, you have the capabilities to alert on policy violations. Let’s take a look at gettings started.
I recently published a couple of blog posts about what happens when you invest in a thoughtful incident management strategy and three first steps to take to do so. What I’m getting at in these posts is that we need a shift toward proactivity in the software operators community. I’d wager most of the world is responding to incidents as they happen, and nothing more.
“It’s too expensive!” “Do we really need another tool?” “Our APM works just fine.” With strapped tech budgets and an abundance of tooling, it can be hard to justify a new expense—or something new for engineers to learn. Especially when they feel their current tool does the job adequately. But, does it?
With cybersecurity boundaries going beyond the traditional walls of an office and attack surfaces constantly expanding, data breaches are inevitable. Managing risks from data breaches requires organizations to develop a comprehensive incident response plan – an established guideline that facilitates incident detection, response and containment, and empowers cybersecurity analysts to secure a company’s digital asset.
Even though NoSQL databases like Amazon’s own DynamoDB are very popular today, for many business use cases, there’s almost no way around using a traditional relational database. Amazon Relational Database Service (RDS), released back in October 2009, is one of Amazon’s first cloud services and can therefore be seen as a very mature service.
The term ‘big data’ is used so commonly in research and marketing terms, you would think it’s been here forever. But actually, big data evolved from database marketing (read first efforts of targeted direct mail) in the mid to late 1980’s. This was the first attempt of marketing agencies and large corporations to begin segmenting their customer databases to create different offers based on the demographics or psychographics of their customers.
