As one of the most innovative, in-demand roles on the market, data scientists are responsible for harnessing the power of data to make valuable predictions and decisions. This blog post takes an in-depth look at what a data scientist does, from mining structured and unstructured data and extracting useful information to using advanced algorithms and technologies like machine learning and artificial intelligence (AI) for decision-making.

In the complex world of Kubernetes, logs serve as the backbone of effective monitoring, debugging, and issue diagnosis. They provide indispensable insights into the behavior and performance of individual components within a Kubernetes cluster, such as containers, nodes, and services.

SIEM has been a crucial component of security systems for nearly two decades. While there’s ample information on operating SIEM solutions out there, guidance on evaluating and managing them effectively is lacking. We’ve noticed many SIEM vendors are taking advantage of this dearth of knowledge and not providing customers with needed value for what they’re buying.

CI/CD pipelines have become a cornerstone of agile development, streamlining the software development life cycle. They allow for frequent code integration, fast testing and deployment. Having these processes automated help development teams reduce manual errors, ensure faster time-to-market, and deliver enhancements to end-users. However, they also pose risks that could compromise stability of their development ecosystem.

In the era of big data, data lakes have emerged as a popular way to store and process massive amounts of data. Fortunately, with Cribl Search and Cribl Stream, you can create a Data Loop to optimize the use of your data lake by saving Search results as part of an investigation. Our four-part video series explains how to set up Cribl Search and Cribl Stream to establish a Data Loop using the Amazon S3 Data Lake destination in Cribl Stream and the Cribl Stream in_cribl_http source.

Managing and monitoring network devices is essential for ensuring the smooth operation of organizations. For this purpose, organizations prefer using SNMP — Simple Network Management Protocol. SNMP is a standard Internet protocol through which network administrators collect information about the status and performance of these devices and configure them. In this article, we'll dive deeper into SNMP monitoring, exploring its different versions and components.

Log data is the most fundamental information unit in our XOps world. It provides a record of every important event. Modern log analysis tools help centralize these logs across all our systems. Log analytics helps engineers understand system behavior, enabling them to search for and pinpoint problems. These tools offer dashboarding capabilities and high-level metrics for system health. Additionally, they can alert us when problems arise.

Adding additional attributes to your telemetry not only provides valuable context to your observability pipeline but also enhances the flexibility and precision of your data operations. Consider, for example, the need to route data from specific geographical locations, like the EU, to a designated destination. With a ‘Location’ attribute added to your logs, you can seamlessly achieve this.

A data lake is the perfect solution for storing and accessing your data, and enabling data analytics at scale - but do you know how to make the most of your AWS data lake? In this week’s blog post, we’re offering 10 data lake best practices that can help you optimize your AWS S3 data lake set-up and data management workflows, decrease time-to-insights, reduce costs, and get the most value from your AWS data lake deployment.

Are you prepared for the unexpected? In today's rapidly evolving world, operational resilience has never been more critical for businesses to survive and thrive. Resiliency is the ability of a system to maintain its operations under adverse conditions, including system failures, unexpected surges in user demand, or even security breaches. The heart of many applications, particularly in this era of data-driven decision-making, is the data store or database.