Author Archives: Jen Sells
Author Archives: Jen Sells
Today, we are excited to announce beta availability of Log Explorer, which allows you to investigate your HTTP and Security Event logs directly from the Cloudflare Dashboard. Log Explorer is an extension of Security Analytics, giving you the ability to review related raw logs. You can analyze, investigate, and monitor for security attacks natively within the Cloudflare Dashboard, reducing time to resolution and overall cost of ownership by eliminating the need to forward logs to third party security analysis tools.
Security Analytics enables you to analyze all of your HTTP traffic in one place, giving you the security lens you need to identify and act upon what matters most: potentially malicious traffic that has not been mitigated. Security Analytics includes built-in views such as top statistics and in-context quick filters on an intuitive page layout that enables rapid exploration and validation.
In order to power our rich analytics dashboards with fast query performance, we implemented data sampling using Adaptive Bit Rate (ABR) analytics. This is a great fit for providing high level aggregate views of the data. However, we received feedback from many Security Analytics power users that sometimes they need access to a more granular view Continue reading
Imagine you are in the middle of an attack on your most crucial production application, and you need to understand what’s going on. How happy would you be if you could simply log into the Dashboard and type a question such as: “Compare attack traffic between US and UK” or “Compare rate limiting blocks for automated traffic with rate limiting blocks from human traffic” and see a time series chart appear on your screen without needing to select a complex set of filters?
Today, we are introducing an AI assistant to help you query your security event data, enabling you to more quickly discover anomalies and potential security attacks. You can now use plain language to interrogate Cloudflare analytics and let us do the magic.
One of the big challenges when analyzing a spike in traffic or any anomaly in your traffic is to create filters that isolate the root cause of an issue. This means knowing your way around often complex dashboards and tools, knowing where to click and what to filter on.
On top of this, any traditional security dashboard is limited to what you can achieve by the way data is stored, how Continue reading
Workers Analytics Engine is a new tool, announced earlier this year, that enables developers and product teams to build time series analytics about anything, with high dimensionality, high cardinality, and effortless scaling. We built Analytics Engine for teams to gain insights into their code running in Workers, provide analytics to end customers, or even build usage based billing.
In this blog post we’re going to tell you about how we use Analytics Engine to build Analytics Engine. We’ve instrumented our own Analytics Engine SQL API using Analytics Engine itself and use this data to find bugs and prioritize new product features. We hope this serves as inspiration for other teams who are looking for ways to instrument their own products and gather feedback.
Analytics Engine enables you to generate events (or “data points”) from Workers with just a few lines of code. Using the GraphQL or SQL API, you can query these events and create useful insights about the business or technology stack. For more about how to get started using Analytics Engine, check out our developer docs.
Since we released the Analytics Engine open beta in September, we’ve been adding new Continue reading