Operations | Monitoring | ITSM | DevOps | Cloud

Artificial intelligence is the most exciting technology revolution of recent years. Nvidia, Intel, AMD and others continue to produce faster and faster GPU’s enabling larger models, and higher throughput in decision making processes. Outside of the immediate AI-hype, one area still remains somewhat overlooked: AI needs data (find out more here).

Users often find themselves puzzled by the concepts of decentralized or distributed monitoring. This confusion is likely due to many monitoring systems claiming distributed capabilities, making it challenging to discern how Netdata stands out. To grasp the distinction, we must delve into the evolution of monitoring systems. When the first monitoring systems were created, about 20-25 years ago, they were built as SNMP collectors.

This article touches on how we at Birdie handled our transition from logs towards using OpenTelemetry as the primary mechanism for achieving world-class observability of our systems.

It’s getting more expensive to rent space in colocation data centers. According to CBRE, colocation rates are up 18.6% year-over-year to a record $163.44 per kW/month due to limited supply and strong demand. Average Asking Rental Rate with Y-o-Y % Change for Primary Markets *Rental rates are quoted asking rates for 250-500 kW at N+1/Tier III requirements. Image Source: CBRE Research, CBRE Data Center Solutions, H2 2023.

While OpenTelemetry (OTel) supports a wide variety of data sources and is constantly evolving to add more, there are still many data sources for which no receiver exists. Thankfully, OTel contains receivers that accept raw data over a TCP or UDP connection. This blog unveils how to leverage Linux Command Line Interface (CLI) tools, creating efficient data pipelines for ingestion through OTel's TCP receiver.

Three different businesses, one shared problem: SailPoint, Kushki, and Flexcity were all looking for a hosted solution to help them optimize their telemetry storage, gain more insights from their observability strategy, and keep costs manageable. But what they gained from migrating to Grafana Cloud and working with Grafana Labs was much more. “The engineering team is super sharp. They’re experts. This is the best of the best," said Omar Lopez, head of the observability team from SailPoint.

So, you think you want to migrate OS (AKA operating systems)? In (most) everyone’s life there comes a time where you look toward migrating to another operating system. There are a variety of reasons why — take for instance the recent trouble with CentOS and RedHat. This process change has broadened adoption of new Enterprise Linux variants like Rocky, Alma Linux, or even Ubuntu.

In this article, you will learn all about middleware and the important role it plays in modern software architecture.

Discover the power of Dragonfly: Scalability, resilience, and real-time messaging. Uncover the benefits of this cutting-edge in-memory data store solution now! Dragonfly is a performant and memory-efficient drop-in replacement for Redis®, utilizing a modern multi-threaded shared-nothing architecture. That’s it! In essence, we have already captured the ambitious mission of Dragonfly.

Kubernetes is a powerful tool for deploying and managing containerized applications. However, managing its clusters is a critical but challenging task for many organizations. Today, we will discuss the benefits of managing multiple clusters, and the challenges they present, and offer a quick technical guide on managing these clusters efficiently.