Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

4 Tips With Qovery To Reduce Your Cloud Costs

While the cloud offers significant benefits compared to traditional on-premise infrastructure, its inherent elasticity and scalability lead to uncontrolled costs. Cloud costs can be opaque and difficult to analyze — and without some system of identifying the source of costs and how to manage them — they can quickly undermine your profit margins. Since Qovery makes it easy to create on-demand environments, it can drastically grow your cloud costs.

What is a "service" in a microservices architecture?

The past ten years marked a significant change in how software teams build and deploy applications. We moved away from bulky, slow, monolithic applications toward lightweight, scalable, distributed service-based applications. Meanwhile, tools like Docker, Kubernetes, and other container platforms helped accelerate this process. Despite this sudden growth, a fundamental question remains: what exactly is a service, and how does it fit into a microservice architecture?

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?

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.

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.

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.

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.