Keyboard Shortcuts in next-gen Projects - Demo Den December
Ivan Teong, a Product Manager on the Jira Software team, gives an overview of the a new way we are helping customers save time when using Jira, with keyboard shortcuts.
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Sips - "Monolith to Microservices: What advice can we give for getting started?"
Coffee and Containers "Sips" are short clips from the regular Coffee and Containers web series. By 2022, IDC predicts that 90% of all new apps will feature a microservices architecture. Some of the drivers behind that are the improved ability to design, debug, update and leverage third-party code, and more. However, transitioning an existing application from a traditional monolith architecture to microservices architecture can be very challenging. How do we get started down the microservices path?
Outlier Detection: The Different Types of Outliers
Time series anomaly detection is a tool that detects unusual behavior, whether it's hurtful or advantageous for the business. In either case, quick outlier detection and outlier analysis can enable you to adjust your course quickly, before you lose customers, revenue, or an opportunity. The first step is knowing what types of outliers you’re up against. Chief Data Scientist Ira Cohen, co-founder of Autonomous Business Monitoring platform Anodot, covers the three main categories of outliers and how you'll see them arise in a business context.
Discovering devices and loading agents with Pandora FMS: Discovery Host&Devices
In today's video we will see another monitoring possibility offered by Discovery. Host & Devices is a tool that facilitates network scanning, easily imports devices and agents with CSV files and deploys agents massively through different scripts.
Deploy your first app on AWS with Qovery
This is a short tutorial on how you can deploy your first app on AWS with Qovery. Very simple and straightforward. 1/ Put a .qovery.yml file at the root of your project 2/ Commit it 3/ Push it It's deployed! 🚀
Detect broken releases with Datadog and Sleuth
See how to connect software releases with key metrics to pinpoint root causes of incidents. This video shows how to connect Sleuth, a deployment tracker, to Datadog, a monitoring app, to overlay deployment events on top of any graph.
Getting Started with Collaboration and Sharing
In this video we will show how to set up the sharing of incidents from your BigPanda environments with ticketing, chat, notification and orchestration systems.
Getting Started with Changes and Root Cause Changes
In this video we will discuss how to integrate change data with BigPanda to drive change-related root cause analysis. We call this feature Root-Cause Changes.
Getting Started with Integrations
When getting started with a new deployment of BigPanda, one of the first things you will be doing is bringing in all of the alerts from your various monitoring tools. This task is made easy with BigPanda's integrations, which we will discuss and walk you through in this video.
Getting Started with BigPanda - Overview
Welcome to the first installment of the Getting Started with BigPanda video series. BigPanda’s "No Experts Required" setup can be broken down into six steps: Out of the box integrations (outbound and inbound), normalization and enrichment, correlation, environments, collaboration & sharing and user management. In this video we will provide an overview of each, and subsequent videos will provide more in-depth information into each area.