For decades, compute or server infrastructure has been the backbone of the IT world. Compute has gradually evolved from on-premise hardware to programmable compute in the form of software containers. Technology operators need to constantly monitor the performance of their Windows, Linux, and container infrastructure so that they can optimize their compute environments to match workload demands.
One of the defining features of snaps is their strong security. Snaps are designed to run isolated from the underlying system, with granular control and access to specific resources made possible through a mechanism of interfaces. Think of it as a virtual USB cable – an interface connects a plug with a slot. Security and privacy conscious users will certainly be interested in knowing more about their snaps – what they can do and which resources they need at runtime.
Many of us hate our backup environments. That’s because backups kind of suck, even with a backup product as great as IBM Spectrum Protect. As I said in another post, it’s the thing that everyone needs, but no one cares about, and most definitely can make your life crappy. Ask any backup admin, and I know they’ll agree. Go ahead; I’ll wait. Yep, they said the same thing, didn’t they?
In this post, we learn how to use the reduce(), findColumn(), and findRecord() Flux functions to perform custom aggregations with InfluxDB. This TL;DR assumes that you have either registered for an InfluxDB Cloud account – registering for a free account is the easiest way to get started with InfluxDB – or installed InfluxDB 2.0 OSS. In order to easily demonstrate how these functions work, let’s use the array.from() function to build an ad hoc table to use in the query.
If you’re new to the Dashboards Beta app on Splunkbase and you’re trying to get started with building beautiful dashboards, this "Dashboards Beta" blog series is a great place to start. The Splunk Dashboards app (beta) brings a new dashboard framework, intended to combine the best of Simple XML and Glass Tables, and provide a friendlier experience for creating and editing dashboards.
AWS Step Functions is a service that abstracts distributed applications into state machines, with each state representing a component of an application. Not only does this automatically generate an architectural diagram of your application’s workflow, it also makes it straightforward to reorder your states as well as implement parallel execution, retries, and other tasks.
One of the first requirements of building an effective team that consistently delivers results is having dynamic team members with the right skill set. This means having the right number of people with the right skills working on your projects at the right time.
Running systems in production involves requirements for high availability, resilience and recovery from failure. When running cloud native applications this becomes even more critical, as the base assumption in such environments is that compute nodes will suffer outages, Kubernetes nodes will go down and microservices instances are likely to fail, yet the service is expected to remain up and running.
The Django Python framework allows people to build websites extremely fast. One of its best features is the Object-relational mapper (ORM), which allows you to make queries to the database without having to write any SQL. Django will allow you to write your queries in Python and then it will try to turn those statements into efficient SQL. Most of the time the ORM creates the SQL flawlessly, but sometimes the results are less than ideal.
