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Debugging Kubernetes Autoscaling with Honeycomb Log Analytics

Let’s be real, we’ve never been huge fans of conventional unstructured logs at Honeycomb. From the very start, we’ve emitted from our own codestructured wide events and distributed traces with well-formed schemas. Fortunately (because it avoids reinventing the wheel) and unfortunately (because it doesn’t adhere to our standards for observability) for us, not all the software we run is written by us.

The role of AI in Kubernetes monitoring

In a dynamic environment like Kubernetes, where manual tracking is impossible, AI-powered monitoring tools, such as Site24x7, surf through enormous amounts of data, detecting irregularities, predicting vulnerabilities, and alerting the user about a possible outage that is about to happen if the resource is not handled.

Kubernetes Load Testing: How JMeter and Speedscale Compare

At some point, your development team may be considering implementing load testing (also known as stress testing) as part of your software testing process. Load testing validates that your web app is able to withstand a large number of simultaneous users, decreasing the chance that any traffic spikes will bring down your services once deployed. These stress tests can be highly granular, giving you the opportunity to test run virtually unlimited strategies before they are set into the wild.

Securing Argo CD in a Multi-Tenant Environment with Application Projects

One of Argo CD’s standout features is its powerful user interface (UI) that shows the live status of all applications and the respective Kubernetes resources. Both developers and operators can quickly understand the status of their deployments by looking at the UI and drilling down into all the different views of Argo CD applications. Some teams even use the Argo CD UI as a generic Kubernetes dashboard and management interface (especially after the addition of the web-based terminal feature).

AWS vs GCP vs Azure: Which Cloud Platform is Best for your Business?

Are you a startup struggling to choose the right cloud platform for your business? With so many options available, it can be overwhelming to determine which vendor best suits your needs. This article will compare AWS, GCP, and Azure based on key factors such as pricing, compliance, security, scalability, ease of use, and their specific benefits for startups. After you have gone through this article, you will have a clearer understanding of which cloud platform is the best fit for your business.

Evaluating Codefresh with a Local Setup

Welcome to our quick start guide, designed to help you get the most from Codefresh. Whether you want to use the CI portion to build and test your applications or explore the GitOps feature powered by Argo CD, this is the place to start. We’ll walk you through setting up runtimes for non-production and testing purposes and provide sample code to ensure you have everything you need to get started. You can use the code provided as a model if you need to deploy in a production manner.
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Top 7 Kubernetes Chaos Engineering Tools

Developing highly resilient Kubernetes deployments is crucial for ensuring that your hosted applications in Kubernetes can effectively manage and recover from disruptions. This capability is vital in order to maintain continuous availability for your customers. The importance of resilience in your distributed system also escalates depending on your customer base and the critical nature of your application. Even brief periods of downtime can have a significant negative impact on your business.