Yesterday, my colleague Mike Elsmore wrote a blog about sending metrics to Logz.io Infrastructure monitoring – now let’s analyze them by building Grafana visualizations! Once you’ve started to send metric data to Logz.io, how do you visualize and interpret that data so that it’s useful for you? In Logz.io Infrastructure Monitoring, we use Grafana to provide dashboards and bring meaningful information to light.

The Health Insurance Portability and Accountability Act, also known as HIPAA, is a compliance standard that was implemented after all health-related information was digitized. The crux of the act is to ensure that all sensitive electronic protected health information (ePHI) has restricted, secure access. Various aspects of your network determine your compliance with HIPAA standards. Let’s discuss some of these important components in detail.

In today’s post, we’ll take a deep dive into Rails migrations. We’ll break down the migration into different pieces, and in the process, learn how to write an effective migration. We’ll learn how to write migrations for multiple databases, as well as how to handle failed migrations and techniques of performing rollbacks. To understand the whole post, you’ll need to have a basic understanding of databases and Rails.

At Sentry, we often get asked how error monitoring is different from APM or logging. To help answer this, I’ve broken down the different types of monitoring into four major categories.

Histograms are one of my favorite topics in the Prometheus universe. Last November, I delivered a talk at PromCon EU 2019 that was titled Prometheus Histograms – Past, Present, and Future. Only the part about the past had to be cut due to time constraints. But I made a promise to resurrect my talk about the history of histograms and I kept my word. In February, I premiered the Secret History of Prometheus Histograms at FOSDEM 2020.

After getting managerial approval for incident management, your SRE buy-in program is well underway. How can you prove that it’s effective, and that adopting more best practices is necessary? In part 2 of this blog series, we’re going to share how to convince a VP or director to invest in additional SRE practices to strategically improve business results: automated metrics and continuous learning.

We all know that systems fail. We plan for this with failover partners and system backups. But can you really trust your backups? If you are using Azure monitoring, your backup and site recovery can be complicated. LogicMonitor provides clarity. Our Azure Backup monitoring service provides simple, secure, and cost-effective solutions for backing up and recovering your data using the Azure cloud.

The debate around allowing employees to work from home is now moot. Due to these unusual times, businesses must have the ability to handle the majority of their primary functions remotely. The implications of this are pretty broad in scope and have IT shops scrambling to address the concerns of how to monitor the applications that enable efficient work from home strategies.

Most Kubernetes deployments live on the cloud. According to the CNCF, while 63 percent of companies use AWS for Kubernetes, 29 percent are deploying Kubernetes on Azure, and the number is rapidly growing. Microsoft Azure provides mature Kubernetes tools, primarily the Azure Kubernetes Service (AKS). In this post, we’ll show you how to run your first Kubernetes cluster on AKS, and how to manage enterprise Kubernetes deployments on AKS with Rancher.

We’re all wrestling with less than ideal circumstances during the pandemic of COVID-19. Whether you’re sheltering in place or simply practicing social distancing, it’s safe to say we’re all adjusting to a temporary new normal. One commonality is the need for connectivity. If infrastructure fails, business will screech to a halt and we will find ourselves in a new kind of mess altogether.