Operations | Monitoring | ITSM | DevOps | Cloud

Cloud native observability is at a watershed moment. The explosion of microservices has created previously unseen amounts of monitoring data, limiting the ability of humans and computer systems to extract meaning from data with last-generation tools. Debugging is often a process of detecting correlation, and then turning correlations into causal connections. This is where modern cloud native tooling comes in.

We’ve already shared our reflections on seven years with skills maps, and our realization that we needed something more. We already had much of that information, but people really struggled to take it on and consume it. We needed a better delivery mechanism than our alternative to the skills maps which we called ‘What Good Looks Like’ documents.

In a global marketplace, competition is stiff. It's hard enough to get the attention of your prospective customer, but once you have it, you don't want to lose it. This kind of drain can mean the end of your business. Any small business owner knows that the life's blood of their business is loyal customers. It is well worth the trouble to keep your customers happy and have them continue to give you their business. When they are satisfied, they naturally tell others about you. This is business growth.

TL;DR – Get started with Mattermost on Azure using the Mattermost on AKS quickstart from the Azure CNAB Quickstart Library. The quickstart provides a fast and simple way to get running with Mattermost, without the need to learn or install any new tooling. By using Azure Kubernetes Service (AKS), the infrastructure is fully managed for you, and the quickstart handles configuring networking and SSL certificates so you can instantly access the Mattermost application after installation.

First of all: apologies...because although the title suggests otherwise, this blog is not about "Observability VS. Monitoring." It's a great misconception that observability is this hot new technology that's here to replace your monitoring tools.

At PagerDuty, our 13,500+ customers are the reason we come to work every day.

Today, AWS announced enhancements for AWS Distro for OpenTelemetry. We’re working with AWS to build in additional support from partners. In tandem with that launch, Honeycomb is announcing support for event ingestion using OpenTelemetry Protocol (OTLP). With that change, you can simplify management overhead and configuration by no longer needing to maintain a separate OpenTelemetry exporter.

Teams around the world are going through changes. With offices closed from Hong Kong to San Francisco, Zoom meetings are the new norm, and online platforms are the standard for collaborating and keeping businesses running as usual. We’ve written about distributed work and how doing distributed well requires the right tools. When a traditional office environment isn’t available, information naturally becomes fractured across multiple single-purpose platforms.

In this blog post you’ll learn how to create visualizations for Kibana dashboards from Jupyter Notebooks. The good news for you as a Python developer: You won’t have to spend time writing cumbersome plain JSON documents or even JavaScript code. Under the hood, we’re going to make use of Kibana’s Vega plugin which became generally available with Elastic Stack 7.10.

On December 13, SolarWinds released a security advisory regarding a successful supply-chain attack on the Orion management platform. The attack affects Orion versions 2019.4 HF 5 through 2020.2.1, software products released between March and June of 2020. Likewise, on December 13, FireEye released information about a global campaign involving SolarWinds supply-chain compromise that affected some versions of Orion software.