Nearly two years ago, I joined PagerDuty as an Agile Coach with limited experience working with Kanban delivery teams. I started coaching two Scrum teams, but as soon as my teams got word that their peers using Kanban were happier and higher-performing, they pushed for the switch. Today, nearly all delivery teams here have transitioned from Scrum to Kanban.
Healthcare organizations strive to enhance patient experience, ensuring that patients receive proper treatment at the right time, every time. However, due to antiquated communication tools, such as the pager, this goal is often difficult to achieve for some healthcare providers. Today’s healthcare facilities require an advanced pager replacement solution, integrating with intelligent scheduling systems and EMR solutions for better patient outcomes.
In the last post, we talked about how Fastly, a content delivery network, provides a global infrastructure footprint to enterprises, and enables them to move apps and websites closer to their end users. Using Fastly CDN, they can serve content and deploy updates quickly, optimize web performance, and improve overall user experience. In this post, we will discuss how to collect, analyze, and monitor Fastly logs.
Organizations around the world are starting to grasp the often harsh reality that their employees’ digital experiences have a direct impact on their bottom line. Indeed, with employees increasingly dealing with ever-changing digital devices, tools and processes, they are also inevitably exposed to new IT problems and frustrations.
Logspout is an open source log router designed specifically for Docker container logs. If you’ve ever looked into log management for Docker, chances are you’ve heard of it. Logspout is a container that collects logs from all other containers running on the same host, then forwards them to a destination of your choice. This lets you send logs to an HTTP/S server, syslog server, or other endpoint without having to monitor files or modify your host systems.
By Des Nnochiri In essence, the nature of business comes down to different companies exchanging value with supplier, partners, and customers. By “value”, we mean goods, services, money, and data. This is the fundamental basis of any business and it has to do this effectively in order to make a profit and survive.
Apache Ambari is an open source management tool that helps organizations operate Hadoop clusters at scale. Ambari provides a web UI and REST API to help users configure, spin up, and monitor Hadoop clusters with one centralized platform. As your Hadoop deployment grows in size and complexity, you need deep visibility into your clusters as well as the Ambari servers that manage them. If issues arise in Ambari, it can lead to problems in your data pipelines and cripple your ability to manage clusters.
Log management solutions can make it easy to filter, aggregate, and analyze your log data. Whether you leverage JSON format or process your logs in order to extract attributes, you can slice and dice your logs using the information they provide such as timestamp, HTTP status code, or database user. But different technologies and data sources often label similar information differently, making it difficult to aggregate data across multiple sources.
Monitoring is an essential aspect of any IT system. System metrics such as CPU, RAM, disk usage, and network throughput are the basic building blocks of a monitoring setup. Nowadays, they are often supplemented by higher-level metrics that measure the performance of the application (or microservice) itself as seen by its users (human beings on the internet or other microservices in the same or different clusters).
