Hyperconverged infrastructure (HCI) gives organizations more flexibility and control when building and securing their virtualized on-premises environments. Microsoft’s Azure Stack HCI is an operating system-as-a-service built for HCI backends that lets organizations deploy and manage their virtualized resources alongside any Azure infrastructure they are running.
As a company’s IT systems develop and overlap in function, it becomes increasingly important that they be carefully monitored at all times. Active network monitoring helps to ensure central servers and systems are functioning as intended, while also allowing business management staff to keep an eye on employee activity in the process.
And just like that – welcome to the last part in our “Well-Architected and Serverless” series. We hope it’s been informative, insightful, and fun for you, to explore the five pillars of the AWS Well-Architected Framework (WAF) with us! Read the previous posts: Part 1: Security Pillar Part 2: Operational Excellence Pillar Part 3: Reliability Pillar Part 4: Cost Optimization Pillar So let’s look into the last – Performance Efficiency (PERF) – pillar.
While JavaScript frameworks come and go, a change has been brewing over the last several years that will permanently change what it means to be a modern developer: how our code goes from our laptops to the wild.
It took about twenty-three years, a couple of IPv6 days, the exhaustion of most of the IPv4 address pools available at Regional Internet Registries (RIRs), and the increase of prices in IPv4 address market, but finally, it looks like IPv6 made it and met one important threshold in November 2020 – 100k IPv6 prefixes are now currently announced on the Internet!
In the evolving world of IT monitoring, I see that many organizations want to move to predictive monitoring. They usually allocate a significant budget for this type of effort that ultimately fails to yield the desired return on investment. Often, organizations are already collecting and processing large amounts of IT telemetry streams and using multiple solutions to monitor their systems. So, predictive monitoring seems like the logical next step.
Kubernetes monitoring can be complex. To do it successfully requires several components to be monitored simultaneously. First, it’s important to understand what those components are, which metrics should be monitored and what tools are available to do so. In this post, we’ll take a close look at everything you need to know to get started with monitoring your Kubernetes-based system.
