One of the most common complaints we hear from operations and site reliability engineers is about the quality of life impacts and the resulting stress imposed by their on-call responsibilities. Most of us are already aware that a proper on-call rotation is critical to our engineering organization’s health in terms of both immediate incident response and long-term sustainable growth.
In the first post of our three-part Amazon Redshift series, we covered what Redshift is and how it works. For the second installment, we’ll discuss how Amazon Redshift queries are analyzed and monitored. Before we go deep into gauging query performance on Redshift, let’s take a quick refresher on what Amazon Redshift is and what it does.
If you’ve been writing code for any reasonable amount of time, then it’s virtually impossible that you haven’t handled logging in any way, since it’s one of the most essential parts of modern, “real life” app development. If you’re a .NET developer, then you’ve probably used some of the many famous logging frameworks available for use at this platform. Today’s post will cover one of these frameworks: log4net.
Gartner once wrote that by 2020, “the average person will have more conversations with bots (chatbots) than with their spouse”. That prediction might seem a bit farfetched and probably more of a sign for relationship disaster, but there is some truth there: for many people chatbots are already an integral part of modern-day life. From turning on the lights, to picking our favorite songs and ordering food—we use chatbots for almost everything and expect them to work all the time.
Fluent Bit is a lightweight, multi-platform tool that can collect, parse, and forward log data from several different sources. Because Fluent Bit has a small memory footprint (~450 KB), it is an ideal solution for collecting logs in environments with limited resources, such as containerized services and embedded Linux systems (e.g., IoT devices).
Kubernetes is the defacto solution for production-ready container orchestration in 2019. Organizations of any size are able to take advantage of Kubernetes’ quick setup, feature-rich API, and growing community to deliver value quickly and at scale. Since Kubernetes is central to many infrastructures, properly monitoring your Kubernetes clusters is critical. In this post, we will go over how Blue Matador monitors each piece of your Kubernetes cluster automatically.
LogicMonitor dashboards are powerful tools for viewing, troubleshooting, and drawing insights from your monitoring data in a variety of ways. Using LogicMonitor, you’ll likely interface with dashboards more than most other functionalities, so it’s important to optimize your workflow as much as possible. Dashboard tokens allow you to streamline dashboard creation and editing as well as limiting human error, especially at scale.
In late 2017, we announced enterprise service management (ESM) capabilities for our cloud model of ServiceDesk Plus. It helps organizations worldwide create unique service desk instances for each of their business functions like HR, travel, and facilities, and manage service delivery across their enterprise from a central platform. Now, we’ve expanded our ESM footprint to our on-premises model of ServiceDesk Plus.
Today we are excited to announce the general availability of Rancher 2.3, the latest version of our flagship product. Rancher, already the industry’s most widely adopted Kubernetes management platform, adds major new features with v2.3.
Container technology is transforming the face of business and application development. 70% of on-premises workloads today are running on the Windows Server operating system and enterprise customers are looking to modernize these workloads and make use of containers. We have introduced support for Windows Containers in Windows Server 2016 and graduated support for Windows Server worker nodes in Kubernetes 1.14 clusters. With Windows Server 2019 we have expanded support in Kubernetes 1.16.
