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Latest posts

GDPR: Top 5 Logging Best Practices

The rather broad definition of personal data in the GDPR requires paying special attention to log data. GDPR and personal data in web server logs is a popular topic in many GDPR fora. For example, IP addresses or cookies might be considered personal data. Consequently, such data must be stored only with the consent of customers for a limited time. It is highly recommended to anonymize personal data before you hand over the logs to any 3rd party to minimize risk.

Instrument Your Rails Apps Automatically With Honeycomb's New Rails Integration

You’ve always been able to get observability for your Ruby apps by instrumenting them with our SDK, affectionately known as libhoney. Unfortunately, instrumenting code you’ve already written is nobody’s favourite job. If only there were some way to automate the repetitive parts, so you could get instant insight into what your app is doing in production, and then focus your effort on augmenting that insight with the information that’s unique to your app!

Integrating Threat Intelligence with Graylog

In my last post, I gave a high-level overview how to select a threat intelligence vendor and how to integrate indicators of compromise (IOCs) into your SIEM or log management environment. In this post, I will describe in detail how to use the Threat Intelligence plugin that ships with Graylog. I’ll start with the steps necessary to prepare your data, then explain how to activate the feature and how to configure it for use.

Performance assurance for virtualized Citrix XenApp infrastructures

In recent years, there has been a lot of focus and discussion on virtual desktop technology as it promises several benefits including better resource sharing, efficient license management, centralized administration and higher security. In fact, according to the 2016 Citrix Performance Survey, 95% of Citrix deployments are already virtualized.

Why Time Series Matters for Metrics, Real-Time and Sensor Data

In this technical paper, InfluxData CTO - Paul Dix will walk you through what time series is (and isn't), what makes it different than stream processing, full-text search and other solutions. He'll also work through why time series database engines are the superior choice for the monitoring, metrics, real-time analytics and Internet of Things/sensor data use cases.

Insights Everywhere-Gaining More Value From Cloud and Hybrid

Got your infrastructures up in the cloud and elsewhere? As companies begin to deploy cloud infrastructures alongside their existing ones, their data is now scattered across a multitude of cloud and hybrid environments. However, it's possible to derive actionable insights from all your data in one place, if you use the right solution.