The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
As today’s IT infrastructure becomes more complex, a continued reliance on legacy systems can become costly as IT operations get bogged down in inefficiencies and hampered by unreliability.
Hybrid and multi-cloud environments produce a boundless array of logs including application and server logs, logs related to cloud services, APIs, orchestrators, gateways and just about anything else running in the environment. Due to this high volume, logging systems may become slow and unmanageable when you urgently need them to troubleshoot an issue, and even harder to use them to get insights.
Security is one of the most changeable landscapes in technology at the moment. With innovations, come new threats, and it seems like every week brings news of a major organization succumbing to a cyber attack. We’re seeing innovations like AI-driven threat detection and zero-trust networking continuing to be a huge area of investment. However, security should never be treated as a single plane.
ServiceOps is a new business technology strategy that combines IT service management (ITSM) with IT operations management (ITOM). ServiceOps is fundamentally about connecting people, processes, and technology that are dependent on one another to enable successful service delivery and make user experiences better with automation, collaboration, and visibility across traditionally fragmented departments.
Last summer, we added support for the open source Zephyr RTOS to Tracealyzer. Today, in recognition of the potential of Zephyr to become the leading independent platform for small IoT devices, Percepio joined the Zephyr Project as a Silver sponsor. Percepio made significant contributions to the Zephyr source code, extending the tracing subsystem to allow full tracing of Zephyr applications in line with the capabilities of Tracealyzer.
Some time ago, Aliaksandr Valialkin published a medium post about comparing VictoriaMetrics and Prometheus resource usage when scraping metrics from thousands of targets. He used node_exporter as a source for metrics to scrape, which is very close to most real-world scenarios. However, the benchmark itself was just a bunch of scripts and a lot of manual work for every test.