Create Ubuntu 22.04 Jammy Jellyfish on Google Cloud
Ubuntu Jammy Jellyfish is released TODAY. Go ahead and try the latest Ubuntu 22.04 in Google Cloud follow this quick tutorial!
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Creating custom InfluxDB endpoints
InfluxDB has a feature that lets users invoke scripts using its API. Here, Jay Clifford explains how to use this feature with custom endpoints to improve the functionality, efficiency, and security of your applications.
Intro to Client Libraries in InfluxDB
Client libraries are a powerful way to harness the power of InfluxDB's API using familiar programming languages. Here, Jay Clifford explains what client libraries are, how they work, and why you should use them when working with InfluxDB.
Checks and Notifications in Action
In another video, Zoe Steinkamp discussed what checks and notifications in InfluxDB are. Here, she uses a real world example to demonstrate how and when to use the different types of checks and notifications available in InfluxDB.
Intro to Checks and Notifications
The InfluxDB platform provides several different types of checks and notifications to keep you informed about how your application is functioning. Here, Zoe Steinkamp outlines the key concepts behind checks and notifications in InfluxDB.
Optimizing Flux Queries for InfluxDB
Flux Queries are scripts that let you work with your data in InfluxDB. Here, Scott Anderson provides some tips for optimizing Flux queries, so that your data and applications are more performant.
Intro to Flux Functions
Functions are the building blocks of the Flux scripting language. Here, Scott Anderson describes what Flux functions are, how they work, and how to use them.
Intro to Flux Data Structure
Flux is the native data language for the InfluxDB platform. Here, Scott Anderson discusses the 'stream of tables' concept, how that relates to Flux's data structure.
Splunk Operator 1.1.0 Released: Monitoring Console Strikes Back!
The latest version of the Splunk Operator builds upon the release we made last year with a whole host of new features and fixes. We like Kubernetes for Splunk since it allows us to automate away a lot of the Splunk Administrative toil needed to set up and run distributed environments. It also brings a resiliency and ease of scale to our heavy-lifting components like Search Heads and Indexer Clusters.
Field service experience could be the next business differentiator
We’ve all suffered that common irritation: “A service person will be at your house sometime between 9 am and 4 pm.” In our personal lives, that can mean frustration and inconvenience. For businesses, that broad window of uncertainty can add up to real money in lost productivity. Both scenarios can chip away at customer confidence and satisfaction. In increasingly competitive marketplaces, those agitations can even be enough to push a customer to look elsewhere.