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.

In today's digital world, how fast a website works is very important for any business. If a website loads slowly, is often not available, or has errors, it can make users unhappy, lower its visibility on search engines, and affect profits. As we enter 2024, many people are looking for better tools to check their websites. They are thinking about other options besides the popular Pingdom. They want tools that provide more benefits, are more cost-effective, or both.

Memory is a surprisingly difficult thing to get right in cloud environments. The amount of memory (also called RAM, or random-access memory) in a system indirectly determines how many processes can run on a system, and how large those processes can get. You might be able to run a dozen database instances on a single host, but that same host may struggle to run a single large language model.

Is your DevOps tool stack out of control? I feel like every day, I talk to someone who feels this pain. The technological golden age of the past few years created a lot of niche tools, but now that CFOs and boards alike are demanding budget restraint, many of these tools are being scrutinized. The reality of the situation is that it’s not good enough for a tool to do one thing anymore.

journalctl is a command-line utility in Linux systems that allows users to query and view logs collected by systemd's logging service, known as the journal. This logging service captures a wide range of system events, including kernel messages, service status changes, user logins, and more, providing a complete view of system activity. Users can use journalctl to filter logs based on various standards such as time range, severity level, specific units (system services), or even custom fields.

Another year, another quantum leap in public cloud spending. 2022 saw organizations spend $491 billion on the public cloud; not to be outdone, 2023’s $563.6 billion marked the first year that public cloud spending exceeded half a trillion dollars. Accelerating cloud spend mixed with shaky macroeconomic conditions meant one thing: Efficiency has never been a higher priority for cloud-driven organizations.

While many wifi access points and SD-WAN controllers have a rich data set available via their APIs, most do not support exporting this data via SNMP or streaming telemetry. In this post, Justin Ryburn walks you through configuring Telegraf to feed API JSON data into Kentik NMS.

Visibility into the production performance of code iterations helps developers verify that application releases and updates are working as intended. However, when variables such as large-scale user requests and increased server load create issues that were absent during testing, developers will often need to pivot from investigating production data back to their coding environment to address errors and vulnerabilities.

The ELK stack, which stands for Elasticsearch, Logstash, and Kibana, is a powerful suite of tools used for searching, analyzing, and visualizing log data in real time. Within a software company's infrastructure, this stack can be utilized in several key areas to improve operational efficiency, debug issues, and gain insights into user behavior. The ELK stack provides a centralized platform for aggregating logs from various sources.

At JFrog, we believe in practicing what we preach by “drinking our own champagne.” This means that we not only develop and deliver market-leading products but also utilize our own solutions in our development processes. When it comes to managing development environments, we aim to implement the best-in-class approaches.