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

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.

How to avoid losing your Slack message history

We understand how critical a message archive can be to your organization. Empowering you with complete control over your data—including your message history—is a key tenet of our mission here at Mattermost! If you’re part of one of the many teams and communities that use Slack to collaborate – take note: After September 1st, 2022, you will no longer be able to access your Slack message history older than 90 days on your free workspaces.

How Netdata's Machine Learning works

Following on from the recent launch of our Anomaly Advisor feature, and in keeping with our approach to machine learning, here is a detailed Python notebook outlining exactly how the machine learning powering the Anomaly Advisor actually works under the hood. Or if you’d rather watch a video walkthrough of the notebook then check out below. Try it for yourself, get started by signing in to Netdata and connecting a node.

Top 8 CI/CD Best Practices for Building Successful Applications

Developers commonly integrate the code and these frequent modifications in a central repository as part of the software development method is known as continuous integration (CI). Improved software quality, faster quality audit and bug fixes, and quick validation and release cycles are all major goals of continuous integration. Continuous Delivery (CD), which builds on top of Continuous Integration(CI), includes automating both builds and the complete software release process.

How Netdata's machine learning works

In this video we will walk though the Netdata Anomaly Advisor deepdive python notebook. The aim of this notebook is to explain, in detail, how the unsupervised anomaly detection in the Netdata agent actually works under the hood. No buzzwords, no magic, no mystery :) Try it for yourself, get started by signing in to Netdata and connecting a node. Once initial models have been trained (usually after the agent has about one hour of data, zero configuration needed), you'll be able to start exploring in the Anomaly Advisor tab of Netdata.