Operations | Monitoring | ITSM | DevOps | Cloud

Data lakes are everywhere! With data volumes increasing, cost-effective storage is becoming a greater need. With Cribl Stream, you can route data to an Amazon S3 data lake and replay or search that data at rest. But nothing is more frustrating than something not working and those blasted error logs that pop up. In this blog, some common errors for your S3 sources or destinations are highlighted, and some potential root causes and solutions are highlighted.

Preventing issues through proactive log analysis is more advantageous than reacting to problems with troubleshooting when they occur. Logs can act as a powerful source for proactive monitoring, and configuring the right alerts can ensure that you are notified about critical events in advance. In this blog post, we'll unveil a few suggestions for optimizing log-based alerting to enhance incident management and achieve operational excellence.

In the fast-paced world of software engineering, efficient data management is a cornerstone of success. Imagine you’re working with streams of data that not only require rapid analysis but also need to store that data for long-term insights. This is where the powerful duo of time series databases (TSDBs) and data lakes can help.

Browsers provide detailed performance information about every resource a webpage loads. Most of this information is hidden during cross-origin requests however. This is a common problem since pages often load content from a variety of origins. Pages can access cross-origin timing information if an additional header is added to cross-origin responses.

Log monitoring is a fundamental practice in the system administration and cybersecurity, playing a pivotal role in maintaining the health and security of computer systems. At its core, log monitoring revolves around the scrutiny of log files generated by diverse software applications, operating systems, and servers. These log files serve as detailed records, containing crucial information about system events, errors, and user activities.

In Kubernetes management, the ability to efficiently monitor resource utilization is very important for cluster owners. Have you ever heard about the kubectl top command and wondered how it could revolutionize your Kubernetes management experience? If so, you're in the right place. The kubectl top command – a powerful tool that offers snapshots of resource metrics for pods and nodes within a Kubernetes cluster.

According to a report on the network traffic analysis market, the market is expected to grow significantly, reaching $6,540.61 million by 2028. This growth is projected at a CAGR of 9.38% from 2022 to 2028. Understanding these trends is vital for IT and other organizations that depend on analyzing their network traffic for improved network management and performance.

Every business is a software business. And by software, we don’t mean code—we mean running software serving customers in production. Those customers may be internal to the company, they may pay you money, or they may represent attention that increases ad revenue—either way, making them happy is your business. And your fast, reliable software makes them happy. Application performance monitoring, also known as APM, represents the difference between code and running software.

Network monitoring has long been a cornerstone of IT management, providing insights into network activity, performance metrics, and potential issues. However, traditional network monitoring methods often need to catch up to keep pace with the dynamic and complex nature of modern networks. As organizations strive to optimize network performance, minimize downtime, and enhance overall reliability, the role of proactive agent-based network monitoring software like Obkio becomes increasingly crucial.

Interview with Alexander Twaradze, Pandora FMS representative in CIS countries. See original here.