Operations | Monitoring | ITSM | DevOps | Cloud

As the landscape of real-time monitoring evolves, so does the diversity and complexity of use cases that our community brings to Netdata. Our mission has always been to democratize monitoring by making it accessible, powerful, and scalable for everyone. With the rapid growth of our user base and their expanding needs, it's become clear that our plan structure must evolve to maintain this mission sustainably.

It's completely normal to feel a little overwhelmed and stressed out at work these days. Technology has collaboration moving at the speed of light, and time away from screens is at an all-time low, blurring the lines between work and personal time. Plus, it's hard to ignore the multitude of tech outages that have been making headlines lately, leaving teams anxiously on edge. When you are a professional with on-call cycles, the potential of outages adds another level of complexity to the mix.

If your organization asked you to report on the reliability improvements you’ve made over the past 90 days, would you be able to pull up a report? If you’re like many engineers, this question might make you anxious. Reliability is a difficult metric to quantify in a meaningful way, let alone measure.

If you’re working with AI, you’re working with data. From numerical data to videos or images, regardless of your industry or use case, every AI project depends on data in some form. The question is: how can you efficiently store that data and use it when building your models? One answer is PostgreSQL, a proven and well-loved database that, thanks to recent developments, has become a strong choice to support AI.

To optimize costs, businesses must continuously assess the cost-effectiveness of their IT infrastructure. This article explores the financial implications of transitioning from traditional cloud IT infrastructure, characterized by elements like EC2, RDS, and non-containerized environments, to Kubernetes, a modern container-orchestration system. Traditional IT infrastructures have long been the backbone of many organizations, offering a certain level of predictability in cost and performance.

Learn about Cloudsmith's recent ISO 27001:2013 recertification, highlighting the team's unwavering commitment to security excellence and customer trust.

Kubernetes has become quite the conundrum. It’s 2024 and more teams than ever are looking for an alternative to the self proclaimed “de-facto” container solution for reasons ranging from long term complexity to its absolutely massive cost to maintain. So here’s the scoop. Teams have been ditching Kubernetes faster than hipsters drop mainstream coffee chains for that obscure, single-origin brew. Why?

As the software development world becomes faster, enterprises must adapt to customer demands by increasing their application’s deployment frequency. They often rely on DevOps and Site Reliability Engineering (SRE) methodologies to achieve this. These approaches ensure high system availability amidst frequent deployments and prioritize delivering a seamless user experience.

Monitoring Kibana instances is crucial to ensure optimal performance, identify potential bottlenecks, and promptly address issues that may impact the accessibility and functionality of the platform. Regular monitoring allows for proactive maintenance, enabling organizations to deliver a seamless and responsive user experience while ensuring the stability and reliability of their ELK stack.