Almost every Kubernetes tutorial speaks about how to quickly deploy a container in a pod and expose it as a service. Mostly these tutorials focus on stateless services and ignore a deeper explanation of state management in Kubernetes. But Kubernetes supports both types of deployments, the stateless deployments and stateful deployments and they have somewhat different operational requirements.
AWS Lambda has gained good traction for building applications on AWS. But, is it really the best fit for all use cases? Since its introduction in 2014, Lambda has seen enthusiastic adoption – by startups and enterprises alike. There is no doubt that it marks a significant evolution in cloud computing, leveraging the possibilities of the cloud to offer distinct advantages over a more traditional model such as EC2.
Cloud spend optimization is a challenging endeavor for most companies. The major reason for this is that most don’t have sufficient visibility into their live cloud costs, so they can’t tie day-to-day decision-making to those staggering AWS bills that arrive at the end of each month (way too late to make meaningful changes).
The filter navigator sites in the top left modestly heading up the table of options. Until recently I’ve been using it to just filter the list below, then, someone introduced me to a couple of other cool commands you can run. The below six functions are all run against a table, for my examples I’ve uses sys_user, but any table can be used. I was able to find the New York documentation for this functionality here if you’d like more details.
A common pattern in serverless architecture is to have a queue before a function. This is great because you can create a second queue for all of the messages that failed in the function execution (or, if we want to put it in terms that don’t sound like we’re aggressively shaming them, we can classify them as having “encountered an error at some point”). This second queue is known as a “dead letter queue” or DLQ for short.
I can’t remember the exact reason I created this script include, but after finding it figured I’d draft up a couple quick examples as the logic could be expanded to other checks, plus, I might need it again one day so its good to have on hand. The script include detailed below creates a new class type in ServiceNow that can be used both from the client-side with Ajax, and from the server-side as a simple object call.
From server setup and hardware configuration to application deployment, traditional end-to-end IT infrastructure management has high overhead and takes a lot of time and effort. With the advent of cloud computing, IT infrastructure has evolved to address the availability, scalability, and agility problems organizations face. Yet the issue of inconsistent configurations remains, because the manual setup of cloud infrastructure can still lead to discrepancies.
Imagine this: your library is trying to step up its game and compete in the Internet age. Rather than you browsing the shelfs, trying to remember how the Dewey Decimal works, you'll enter your book selections from your phone. A librarian will then bring your books to the front desk. You place your book order on a busy weekend morning. Rather than getting all of your books, the librarian just brings one back.
Sometimes a case comes up where you need to lookup further information on the active record, via is referenced records. ServiceNow makes it pretty painless with the g_form.getReference method, which uses a callback to keep from blocking the rest of your script. The example I have below, and on our GitHub repo, uses getReference in a Client Script as a way to notify uses if they are setting the owner of a CI as an inactive user.
