Operations | Monitoring | ITSM | DevOps | Cloud

It takes a large team to manage enterprise DevOps, and it can take a large team of binary repository managers, too. It’s vital to get all team members going the same way, and quickly. A growing developer organization will have many instances of Artifactory to help them scale, on multiple nodes for high availability and multi-site repository replication. Configuring them all precisely, with the same set of repositories, users, and permissions, can’t be done effectively one at a time.

As part of a challenge, I read Ulysses by James Joyce. 😬 Never again. At almost 1,000 pages (although about 250 of those pages were just explanatory notes), it was tough going. Especially when some bits of it were written in Latin, Irish, and Hungarian. I may have skimmed parts. At 42 pages, the Microsoft SQL Server 2019 Licensing Guide is no Ulysses, and it does have the benefit of being written in a single language. But it’s still not an easy read for us mere mortals.

The huge shift to remote work this year has presented many new challenges for IT teams—not least of which is the issue of securing the organization when large numbers of employees are now working at home. At PagerDuty, around a fifth of our employees were already based remotely, but the impact of COVID-19 meant that hundreds of other Dutonians had an almost-overnight switch to working away from the office.

If you’re a SaaS business — especially B2B — you know that your profitability can vary significantly from customer to customer. We all have a sense of our “expensive customers,” who use the product heavily and push things to the limit. That also means there are more profitable customers. Who are they? And how do they use the product?

We often say that Honeycomb helps you find a needle in your haystack. But how exactly is that done? This post walks you through when and how to visualize your data with heatmaps, creating a log scale to surface data you might otherwise miss, and using BubbleUp to quickly discover the patterns behind why certain data points are different.

Welcome back! In the last blog we set up bidirectional communication between ServiceNow and Elasticsearch. We spent most of our time in ServiceNow, but from here on, we will be working in Elasticsearch and Kibana. By the end of this post, you'll have these two powerful applications working together to make incident management a breeze. Or at least a lot easier than you may be used to!

The Internet of Things (IoT) is a term for the ever growing number of internet connected devices that fall beyond the realm of your typical laptop, desktop computer or smartphone. Many of us already own and use IoT devices on a daily basis, these could be anything from "smart" versions of appliances like refrigerators, thermostats and coffee machines through to your expected IoT devices such as Amazon’s Alexa & Google’s home speakers.

For many companies, the beginning of October is also the beginning of the fourth and final quarter of the fiscal year. In IT, it’s a time to prepare for the new year by defining our priorities and setting our budget. COVID-19 threw a wrench into all of our 2020 plans from last year and a lot has changed since then. But one thing that hasn’t changed is the need for a network monitoring system in your software stack.

We’re excited to announce the launch of the LogDNA Configuration API, expanding on our existing API to allow users to manage their Views and Alerts programmatically. Use the new Configuration API to increase automation on LogDNA’s logging platform.

As my co-founder Caleb Hailey likes to say, collecting monitoring and observability data is essentially a solved problem. The only remaining challenges are related to getting that data where you want it to go. When dealing with different formats — say, collecting Prometheus metrics and storing them in Elasticsearch — this can be a non-trivial problem. Put simply, it’s like trying to put a square peg into a round hole.