Today, we are excited to announce a new integration - PagerTree Forms! PagerTree Forms are simple (PagerTree hosted) forms that can be made public so your customers can quickly create an alert outside the PagerTree ecosystem. PagerTree Forms also support custom CNAMES so you can host them on your own domain (ex: https://support.example.com). The CNAME option is secured via HTTPS using self signed Let’s Encrypt certificates.

With massive adoption of Kubernetes at enterprises worldwide, we are seeing Kubernetes going to new extremes. On the one hand, Kubernetes is being adopted for workloads at the edge and delivering value beyond the data center. On the other hand, Kubernetes is being used to drive Machine Learning (ML) and high-quality, high-speed data analysis capabilities.

This article is part 2 of a four-part series of articles about Elasticsearch performance monitoring. Part 1 explains what Elasticsearch is and how it works, while in this part, we’re going to look at Elasticsearch’s capabilities and potential use cases, and how to check its status. We’ll identify key metrics that you need to monitor to maintain the health and performance of your Elasticsearch cluster.

Breaking down larger, monolithic software, services, and applications into microservices has become a standard practice for developers. While this solves many issues, it also creates new ones. Architectures composed of microservices create their own unique challenges. In this article, we are going to break down some of the most common. More specifically, we are going to assess how observability-based solutions can overcome many of these obstacles.

More and more employers are looking for people experienced in building and running Kubernetes-based systems, so it’s a great time to start learning how to take advantage of the new technology. Elasticsearch consists of multiple nodes working together, and Kubernetes can automate the process of creating these nodes and taking care of the infrastructure for us, so running ELK on Kubernetes can be a good options in many scenarios.

Kubernetes monitoring can be complex. To do it successfully requires several components to be monitored simultaneously. First, it’s important to understand what those components are, which metrics should be monitored and what tools are available to do so. In this post, we’ll take a close look at everything you need to know to get started with monitoring your Kubernetes-based system.

IT asset management (ITAM) is one of the most crucial strategies for businesses to practice. If 2020 had you shuffling monitors and laptops all over the country, 2021 isn’t going to make things any easier. Next year looks to bring all new sets of challenges for tracking, maintaining, and budgeting for the assets that your IT organization has not had their hands on in almost a year.

In July, we rolled out SolarWinds® Papertrail™ support for SAML v2.0. SAML authentication allows you to log into your Active Directory® domain or intranet and have immediate access to Papertrail, with no additional login required. Today we’re extending Papertrail SAML 2.0 support to include group mapping. Group mapping allows you to define organization and product roles, and grant access to logs and billings plans, by adding an account to an identify provider group.

DigitalOcean droplets provide low-cost scale from a popular server provider. With DigitalOcean Monitoring, you can collect metrics for visibility, monitor Droplet performance, and receive alerts when problems arise in your infrastructure. But when you need to deep dive into your application to debug an issue, resolve an incident, or identify opportunities to improve your platform, you need a deep understanding of the underlying operating system and how it interacts within its environment.

In the evolving world of IT monitoring, I see that many organizations want to move to predictive monitoring. They usually allocate a significant budget for this type of effort that ultimately fails to yield the desired return on investment. Often, organizations are already collecting and processing large amounts of IT telemetry streams and using multiple solutions to monitor their systems. So, predictive monitoring seems like the logical next step.