We’re thrilled to announce new feature updates for Logz.io’s Kubernetes 360 to provide deeper visibility and additional troubleshooting capabilities for your Kubernetes environment.

In the face of growing security threats and incidents, businesses must prioritize their ability to detect, investigate, and respond effectively. Timely incident response is crucial for maintaining the security and integrity of systems and data. Among the essential tools in the incident response arsenal, log monitoring stands out as a critical component. By closely analyzing logs, organizations gain valuable insights into system events, user activities, and network traffic.

Python is a highly skilled language with a large developer community, which is essential in data science, machine learning, embedded applications, and back-end web and cloud applications. And logging is critical to understanding software behavior in Python. Once logs are in place, log monitoring can be utilized to make sense of what is happening in the software. Python includes several logging libraries that create and direct logs to their assigned targets.

The Elastic APM Java Agent automatically tracks many metrics, including those that are generated through Micrometer or the OpenTelemetry Metrics API. So if your application (or the libraries it includes) already exposes metrics from one of those APIs, installing the Elastic APM Java Agent is the only step required to capture them. You'll be able to visualize and configure thresholds, alerts, and anomaly detection — and anything else you want to use them for!

As someone who admittedly gets bored easily, one of my favorite things about working for a company like Cribl is the huge amount of technologies in our ecosystem I get exposure to. Over time, I also get to observe trends in the market – it’s always so cool to see big upswings in adoption for various platforms and tech. One such trend I’ve observed over the last year is a noticeable uptake and presence in the market of Google Chronicle.

Consistent performance and continuous improvement: these are the fundamentals we should aspire to in the world of cloud software delivery. We focus on ensuring our systems become more consumable, enjoyable and innovative. We seek to make customers’ lives easier and more productive through incremental achievements, and doing a better job, every day.

In today's post-pandemic digital landscape, web analytics is projected to have a market size of US$13.4 Billion by 2030. This means that understanding website data and user behavior is crucial for any business wanting to succeed. Businesses can collect, analyze, and report website data through well-executed web analytics strategies to optimize the user experience and meet business objectives.

Event Hubs is Microsoft’s cloud-native real-time event streaming service. For Event Hubs to work, data must be pushed to or pulled from it. That is where Cribl Stream comes in. Event Hubs is a source and destination inside Cribl Stream and the control for how you route, shape, and transform your data from Event Hubs. But, one does not simply Stream into (or from) Event Hubs. There is a lot that goes into architecting an Event Hubs Source.