Do you have an application built with Django and PostgreSQL that you’d like to run on Kubernetes? If so, you’re in luck! In this tutorial, you’ll learn how to orchestrate your Django application with Kubernetes. Since we’re working with multiple microservices, it can be difficult to ensure all parts work together. This tutorial will demystify all that.
I am thrilled to announce that ScienceLogic posted its best quarterly sales bookings in our company’s history! Amid warnings from the broader tech industry slowdown, ScienceLogic proved once again to be an outlier, as current macro trends continue to drive strong demand for IT transformation.
Microservices are being used every where and for good reasons. They do provide you with many benefits especially improved focus and cutting the time to market. Microservices do bring complexities too. Monitoring microservices is complex because of simply the number of them. Monitoring a user transaction requires monitoring many microservices. Correlating the data from them to identify the root cause manually is a nightmare especially in a complex environment with 100s or 1000s of microservices.
If you have arrived at this page but need a quick refresher on what Azure Active Directory is and why it is different to Active Directory that you might have installed on-premises, you might like to first read this quick run-down – What is Azure Active Directory.
According to the Python Developers Survey 2021 Results, the majority of developers don’t actively use frontend tools. This means if you wanted to create interfaces to display machine learning models and other systems you’ve built, you most likely need the assistance of another developer.
Out of 10 key metrics tracked quarterly to establish the state of ransomware activity, only one metric stayed static from Q1 to Q3 2022. The other nine all worsened. That’s an alarming trend, especially given that many business leaders hoped to see ransomware activity taper off after a historic surge during the peak of the pandemic. Ivanti, together with Cyber Security Works and Cyware, collaborated on the just-released report.
Over the last few months, a common and recurring theme in our conversations with users has been about managing observability costs, which is increasing at a rate faster than the footprint of the applications and infrastructure being monitored. As enterprises lean into cloud native architectures and the popularity of Prometheus continues to grow, it is not surprising that metrics cardinality (a cartesian combination of metrics and labels) also grows.
Grafana Loki is Grafana Labs’ open source log aggregation system inspired by Prometheus. Loki is horizontally scalable, highly available, and multi-tenant. In addition, Grafana Cloud Logs is our fully managed, lightweight, and cost-effective log aggregation system based on Grafana Loki, with free and paid options for individuals, teams, and large enterprises.
Measuring and improving the reliability of technical systems has always been challenging. As an industry, we've developed several practices to try and address reliability concerns, such as incident response, observability, and Chaos Engineering. This led SREs and service owners to measure reliability in a handful of ways.
Sometimes an IT ticket is just an IT ticket. But far more often, when one or a few tickets are submitted, it means there are many more users and systems exposed to the same issue. IT issues can quickly get out of control and affect many employees, sometimes overnight. When these get out of control, they can become “top call drivers” that bring your team, department, business lines, and even entire business to a halt.
