Hot on the heels of our Ubuntu 22.04 LTS release, we’ve already started building our first images for Ubuntu 22.10, codename: Kinetic Kudu. Up until now, Ubuntu WSL users have had access to our current Long Term Supported (LTS) releases. These provide a stable Ubuntu development environment, deeply integrated with Windows, for data science, cloud, web and IoT developers. But what if you’re one of those folks who like to live life on the edge?
There are multiple ways to use Flux to bring in data from a variety of different sources including SQL databases, other InfluxDB Cloud Accounts, Annotated CSV from a URL, and JSON. However, previously you could only manually construct tables from a JSON object with Flux as described in this first example. We’ll describe how to work with three examples with increasingly complex JSON types. First we will describe how to work with these JSON types with metasyntactic examples.
Our own CEO, Dave Link, sat down with the Senior Vice President of the EMEA region, Clive Spanswick, for an interview to discuss ScienceLogic’s rapid growth in EMEA. Here’s an excerpt of their conversation.
As Teams Phone becomes the norm in the Enterprise space, managing the quality of service delivery and user satisfaction, whether it’s cloud or connected to the PSTN, is mission critical. Teams PSTN calls are used for just about every type of meeting as well as for Contact Centers, Customer service, town halls and client pitches. Because of this ubiquitous usage, Enterprise IT needs analytics to understand how this service is performing for users and when problems are occurring.
For teams who deploy software to users around the world, every second counts when responding to outages and other incidents. It’s important that you have tools in your arsenal that are up to the challenge. Service monitoring, alerting, collaboration, and visibility are all essential components of a well-implemented incident response plan.
Before we take a deep dive into the ways to achieve observability, it is important to understand what observability is and how it is achieved. Frequently, observability is confused with monitoring. Observability provides end-to-end visibility into a system’s internal health by using the data it generates: logs, traces, and metrics. In a multi-cloud environment, observability enables you to detect and resolve anomalies.
In the IT world, outages and service disruption are a fact of life. Stuff hits the fan… Stuff happens! And it can happen to any service provider – even the most well designed and managed SaaS applications and platforms. One of the reasons why stuff happens is failing to adhere to best practices. To minimize the potential for problems, here we run over some of the key points from the cloud platform management best practice playbook.
In my final blog as the Head Nerd for N-central and now your newest Product Manager for N-central, I thought it would be time to update my previous blog from July, 2021 and provide a few more details as to why hardening the N-central server—and for that matter any on-premises server that has an operating system—is critically important.
Automated tests are especially important in large applications that have lots of moving parts. It is smart to learn about many methods of testing applications so that you can provide as much coverage as possible. If you are not familiar with using snapshots in testing, read on. Snapshot tests are written as part of frontend test automation.
