In the latest episode of the Network AF podcast, your host Avi Freedman welcomes his friend and networking pro Cat Gurinski to the show. As a senior network engineer with loads of experience, Cat is most passionate about automation and troubleshooting, and especially loves to use Python and Arista’s pyeapi frameworks in her pursuits. She’s also the current chair of the NANOG Program Committee, and previously worked for companies like Best Buy, Switch and Data, and Equinix.
Last June, Tigera announced a first for Kubernetes: supporting open-source WireGuard for encrypting data in transit within your cluster. We never like to sit still, so we have been working hard on some exciting new features for this technology, the first of which is support for WireGuard on AKS using the Azure CNI. First a short recap about what WireGuard is, and how we use it in Calico.
I have a good sense of how to use traces to understand my system’s behavior within request/response cycles. What about multi-request processes? What about async tasks spawned within a request? Is there a higher-level or more holistic approach?
Today’s incident pipelines are noisy. The average enterprise deals with at least 15 different monitoring and observability tools that create thousands of alerts a day, often overwhelming and drowning their IT operations. But it’s not just their number that’s an issue.
This blog post defines SRE by explaining SLOs and error budgets, highlighting the innovation vs. reliability tradeoff.
One more “ops” phoneme like DevOps is ChatOps; or conversation-based development/operations. ChatOps has been growing in popularity as communication platforms such as Slack is ingrained in our day-to-day engineering lives. A team lead once told me “if it didn’t happen in Slack, it didn’t happen” showing the emphasis of communication platforms as a system of record.
As an update to.conf’s announcement of our continuous code profiling preview, we’re excited to share that today Splunk APM’s AlwaysOn Profiling is generally available for Java applications, included in APM with no additional cost. Here’s a quick walkthrough of the feature, and how you can get started now.
With Kubernetes emerging as a strong choice for container orchestration for many organizations, monitoring in Kubernetes environments is essential to application performance. Kubernetes allows developers to develop applications using distributed microservices introducing new challenges not present with traditional monolithic environments. Understanding your microservices environment requires understanding how requests traverse between different layers of the stack and across multiple services.
