Dynamic Volume Provisioning of PV and PVC - Civo Academy
Identify the fundamentals of creating a dynamic volume provisioning of PersistentVolume and PersistentVolumeClaim with the help of StorageClass and StatefulSet.
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The latest News and Information on DevOps, CI/CD, Automation and related technologies.
7 Common Kubernetes Pitfalls
Kubernetes is the industry's most popular open-source platform for container orchestration. It helps you automate many tasks related to container management. Companies use it to solve their problems related to deployment, scalability, testing, management, etc. However, Kubernetes is complex and requires a steep learning curve. In this article, we will go through some common Kubernetes pitfalls most companies fall to.
How DBAs are Using SolarWinds DPM and Marginalia to reduce MTTR
Database performance is critical to business revenue. Slow and non-responsive databases can result in hundreds of thousands or millions of dollars in lost revenue from poor customer experience and downtime. High expectations in performance require IT infrastructure to function at full speed. In 2006, an Amazon study found that every 100ms in added page load time cost them 1% in sales.
Introduction to Gremlin Reliability Management (RM)
Gremlin Reliability Management helps teams standardize and automate reliability, one service at a time. In this video, we walk through the platform by showing you how to add your services to Gremlin, integrate your Golden Signals, run reliability tests, and generate reliability scores.
How to add a Service to Gremlin Reliability Management (RM)
This short demo video shows you how to add a Kubernetes service to Gremlin Reliability Management (RM). We'll walk you through selecting the parts of your infrastructure that make up your service, identifying processes for dependency detection, and adding your Golden Signals.
How to add a Golden Signal to a service in Gremlin RM
In this video, we show you how to add a Golden Signal to a service. Gremlin uses your Golden Signals to ensure your services are still healthy and responsive during reliability tests. You can configure Golden Signals to use an existing monitor in your observability tools, such as Datadog, New Relic, or Prometheus. We recommend adding all four Golden Signals to each of your services to ensure comprehensive coverage.
Four tests to measure and improve reliability: what matters and how it works
Legendary race car driver Carroll Smith once said, "until we have established reliability, there is no sense at all in wasting time trying to make the thing go faster." Even though he was referring to cars, the same goes for technology: no amount of code optimization or new features can replace stable systems. Unfortunately, much like race cars, it's hard to know that a system is unreliable until it blows a tire, the brakes stop working, or the steering wheel comes off the column.
Keep control of your Organization's Usage with our New Organization Usage page. #Blackfire
Predicting the traffic of our #applications is as challenging as forecasting the weather. Whether it’s a sudden spike in your apps’ traffic, a set of bugs pushed in #production, or even a full-on #cyberattack, unexpected surges can bring significant consequences. We may have the facts to anticipate a solid estimate, but we can’t plan for the anomalies. This is a concern shared by many #blackfire Monitoring customers. And it’s directly linked to ensuring you have the right amount of traces to maintain your applications’ continuous instrumentation—while controlling costs.
Fundamentals: Load Balancing and the Right Distribution Algorithm for You
With the right load balancing in place, the demand of increasing web traffic can become manageable, but how do you determine which load balancing algorithm is best suited for your applications? Does the ease of use of static load balancing better suit the services you provide, or would your system benefit from a more complex and dynamic set of algorithms to maximize efficiency? In this blog post, we discuss what to consider when deciding on the right load-balancing algorithm.
What are the four Golden Signals?
When it comes to building reliable and scalable software, few organizations have as much authority and expertise as Google. Their Site Reliability Engineering Handbook, first published in 2016, details their practices to maintain reliability as Google scaled. But when you have over a million servers running thousands of services across more than twenty data centers, how do you monitor them in a consistent, logical, and relevant way?