In today’s complex environments such as cloud-native technologies, containers, and microservices-based architectures, reliable log monitoring is crucial for keeping your systems secure and resilient. Continuous monitoring enables organizations to stay in-control, providing proactive insights into system health and performance. With platforms like AWS, GCP, and Azure churning out massive amounts of logs, it’s easy to get overwhelmed.

In today’s fast-paced digital landscape, enterprise data stands as both a critical asset and a potential liability. With data volumes expanding at an annual rate of 28% while budgets increase by only 7%, organizations face mounting challenges. The unpredictable nature of data value complicates decisions on what to store and where. Moreover, the rise of connected devices and evolving security threats further exacerbate the situation.

Since the release of ChatGPT in November 2022, companies have either banned or rushed to adopt generative artificial intelligence (GenAI), which is rapidly expanding in use and capabilities. Its powerful yet unpredictable nature poses significant cybersecurity risks, transforming it into a double-edged sword. However, whether generative AI poses more opportunity or risk is not necessarily the right question to ask.

With the upcoming release of JDK 23, there are some significant changes in locale information that will affect Elasticsearch and how you ingest and format datetime data. Firstly, a bit of background.

Telemetry data, at its core, is all about transmitting real-time information from remote sources to centralized systems for analysis and action. This data is super important across different industries due to its ability to provide immediate, actionable insights that enhance operations and strategic decision-making.

Zabbix is an open-source monitoring solution designed for real-time monitoring and management of IT infrastructure, including networks, servers, virtual machines, and cloud services. Whilst Zabbix is a powerful monitoring tool that can be utilized for a range of use cases, the solution is primarily used for network monitoring.

It is the last day of SigNoz Launch Week 2.0, and we’re excited to announce improvements in the logs module of SigNoz. Searching and filtering for logs to debug issues is one of the top critical workflows any developer uses. We have gathered feedback from our users and shipped some important features that focus on speeding up log searches, refining the filtering process, and enhancing the overall log analysis experience.

Calling all Splunk Cloud Platform admins! At Splunk, we are constantly working to improve the way we service our customers. We understand that maintenance windows, while necessary, can sometimes be impactful to your operations. That is why we’re excited to announce a significant upgrade to our maintenance experience, designed to provide you with greater control and minimal impact.