Operations | Monitoring | ITSM | DevOps | Cloud

Web applications generate a wealth of performance data, but it’s challenging to know exactly which metrics are the most useful for monitoring your user experience. Focusing on irrelevant metrics wastes time and resources—but if you pare down the data you’re observing too much, you may miss critical insights.

Java remains one of the most widely used programming languages today, especially in enterprise backend systems—and for many good reasons. With each new release, Java’s robust runtime offers additional improvements in performance, security, scalability, and developer productivity. The portability of its code has proven increasingly relevant and useful as the industry embraces ARM64, making Java one of the go-to languages for modern workloads.

Consistent with the words of Darwin, there is a "survival of the fittest" mentality in the DevOps and container orchestration ecosystem. Back in 2019, when Cycle came to market, Kubernetes was among the popular choices for managing containers and remains one of the most prominent players in the space today.

Achieving the ideal inventory turnover ratio is essential for businesses striving for profitability and operational efficiency. This key metric, which measures how often inventory is sold and replaced within a given period, reflects your ability to balance inventory levels, meet demand, and optimize resources. Let’s explore what defines a good ratio, how to calculate it, and strategies to improve it.

The Calico eBPF data plane is your choice if latency is your primary concern. It was very disturbing that some benchmarking brought to our attention that eBPF had higher tail latency than iptables. The 99+% percentiles were higher by as much as a few hundred milliseconds. We did a whole bunch of experiments and we could not crack the nut until we observed that there are some occasional and unexpected TCP reset (RST) packets, but no connections were reset.

Apache Kafka is the backbone of modern data streaming architectures, enabling real-time data movement, stream processing, and event-driven applications at scale. It enables high-throughput messaging between data sources and analytics platforms, supports log aggregation, and facilitates scalable extract, transform, load (ETL) pipelines for continuous data transformation and storage.

There are two types of alerts you don't want: We call these false alerts. As a person with responsibility over your IT infrastructure, it is natural that you have configured your monitoring systems to alert you at every step. But when these false alerts take up too much of your time, one of these unfortunate scenarios may occur: Let's explore more about false alerts before we dive into five strategies to avoid them.

Enabling accurate exchange of information between key applications has become crucial in today’s hybrid and complex IT operations. When we speak with potential customers, one common question we hear is, “How easy is it to consume and integrate the insights generated by Network Observability by Broadcom?” This might sound like table stakes, but it is often a challenge due to siloed teams, the high levels of expertise required, different data formats, and time-consuming processes.

AI/ML development is getting a lot of attention as organizations rush to bring AI services into their business applications. While emerging MLOps practices are designed to make developing AI applications easier, the complexity and fragmentation of available MLOps tools often complicates the work of Data Scientists and ML Engineers, and lessens trust in what’s being delivered.

Absinthe is a popular GraphQL toolkit for building robust APIs in Elixir. Monitoring such APIs is essential to ensure performance, detect bottlenecks, and handle errors effectively. AppSignal offers a seamless way to monitor and gain insights into your Absinthe-powered GraphQL APIs, enabling you to keep applications performant and reliable.