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

Continuous performance testing for mobile apps

As of 2021, roughly 5.7 million mobile apps are available in app stores — 2.2 million for iOS and 3.48 million for Android users. Given the massive numbers, customers have a wide variety of choices. With such a high number of apps available, customer satisfaction is paramount, which means avoiding customer churn and retaining users.

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.

Equip any user to monitor Kubernetes with the Overview Page

Many organizations use Kubernetes to orchestrate their containerized applications. But because Kubernetes is complex, application developers may take some time to ramp up on the intricacies of monitoring a Kubernetes environment. This means that teams often need to create internal documentation and offer hands-on training to bridge the knowledge gap.

Using incidents to level up your teams

I joined GoCardless as a junior engineer. It was one of my first coding jobs, and in my time there I progressed to senior much faster than I had expected. When I reflect on how this happened, one pattern stands out to me; the big step changes in my understanding, and my ability to solve larger and more complex engineering problems, came as a result of incidents.

Kubernetes operators - the top 5 things to watch for

Software operators are steadily revolutionising how we deploy and run complex distributed systems. They offer the promise of low-intervention, self-driving software – ideally leading to service reliability gains and better uptime. For an introduction to Kubernetes operators, check out our introductory webinar or download our guide to Kubernetes operators.