Micro Lesson: Using Scheduled Views
The micro lesson explains scenarios in which scheduled views can be used to optimize the performance of your organization's data.
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Honeycomb Learn Ep 1 Instrument Better for a Happy Debugging Team
Nathan LeClaire, Sales Engineer @honeycombio knows first-hand that the key to instrumenting code is to start with baby steps. With Honeycomb, a little instrumentation will give vast insights as soon as you ingest your data. With Honeycomb Beelines, we take the heavy lifting out of instrumenting. Listen to learn: See Honeycomb in action, hear best practices, and learn how fast and painless instrumentation can be.
Honeycomb Learn Ep. 2: De-stress Debugging -Triggers, Feature Flags, & Fast Query
This episode in our Honeycomb Learn series looks at how to cut stress levels when debugging issues in production. Starting with a hypothesis, run fast queries, and then navigate to the code where the problem lies. Be proactive and set triggers to let you know if something needs attention. When engineering is about to ship a new release, set a feature flag to watch how production behaves in real-time. Curtail performance issues and reduce customer impact with the right tools to better understand production systems, right now.
Honeycomb Learn Ep. 3: See The Trace? Discover Errors, Latency & More across Distributed Systems
Distributed systems bring complexity for developer and ops teams. When incidents occur in production, expected and unexpected, you want to pinpoint which part of the service is giving problems. Distributed tracing illuminates distributed systems, making your logs easier to navigate. Quickly identify where there are errors or latency in your code or service, even within 3rd party services you use. Instrumentation is the key to the best tracing experience possible.
Honeycomb Learn Ep. 4: Bubble-Up to Spot Outliers in Production
The power of Honeycomb lies in the way you analyze production data using different interactive views. See what's happening across many dimensions (fields) in your system with BubbleUp. Pick the timeframe, breakdown by any field, such as customer name or ID, then filter by a specific dataset or where any errors occur. The query results are heatmap that highlight events over the baseline, over time. Use BubbleUp to select outliers on the heatmap and drill down to all related fields in that data. It will help you understand which part of the code is misbehaving.
Honeycomb Learn Ep 5 Never Alone On Call
In this webinar, we’ll discuss and show how: Honeycomb's query history gives rich meaningful context, Honeycomb’ers dogfood and learn from each others' compound wisdom, benefits span engineering cycles and use-cases when debugging and maintaining, & to build a culture of observability and why you should do it now.
[webinar] How To Build A Cloud Native DevSecOps Pipeline With JFrog and AWS
Are you taking advantage of the best practices to easily adopt DevSecOps in the cloud? Discover the strategies and tools you can use to ensure you can easily overcome the challenges of securing your software releases.
Understanding and mitigating CVE-2020-8566: Ceph cluster admin credentials leaks in kube-controller-manager log
While auditing the Kubernetes source code, I recently discovered an issue (CVE-2020-8566) in Kubernetes that may cause sensitive data leakage. You would be affected by CVE-2020-8566 if you created a Kubernetes cluster using ceph cluster as storage class, with logging level set to four or above in kube-controller-manager. In that case, your ceph user credentials will be leaked in the cloud-controller-manager‘s log.
3 secrets of professional hackers your software team needs to know about
“My job here at Atlassian is to commit crimes and then write very, very detailed confession letters – metaphorically speaking.” Meet Alex: an engineer on our security intelligence team with a wry wit and a penchant for pop-color hair. Less metaphorically speaking, the team’s job (our red team, in particular) is to hack Atlassian’s systems exactly as real attackers would.
FTP and SFTP: What's The Difference?
In the Information Age, data is currency. Controlling the flow of information and more importantly, protecting it has increasingly become a focal point for companies who want to remain competitive in modern markets. Improving data efficiency, integrity, and security is often how companies separate themselves from their peers. We present two of the most common methods for data transfers: FTP and SFTP.