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opsmatters

What is the Importance of Positive Reviews for Your Business?

Aug 7, 2024 By OpsMatters In OpsMatters
Positive reviews hold significant sway over consumer behavior and business success. With an increasing number of customers relying on online feedback when making purchasing decisions, the influence of reviews cannot be overstated. They serve as social proof, bolstering credibility and trust in a brand. Furthermore, positive reviews not only attract new customers but also enhance customer retention by reinforcing the value of existing relationships. Understanding the importance of garnering and maintaining positive reviews is crucial for businesses seeking to thrive in a competitive market.
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Cycle

Announcing the Cycle Toolbox

Aug 6, 2024 By Bryce Lewis In Cycle
Today we announce the launch of the Cycle Toolbox, a suite of tools that are designed to streamline the workflows of Devops professionals and developers. Our goal is to create a toolkit that not only simplifies your daily tasks but also helps alleviate some of those common frustrations. This is just the beginning, but for our initial release, we're excited to introduce the following tools.
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rootly

How Stress Affects Our Learning Abilities in Incidents (And What To Do About It)

Aug 6, 2024 By Sorrel Harriet In Rootly
While retrospectives provide a valuable pathway for learning outside of the flow of work, we also want learning to happen during an incident or unexpected event as it unfolds. This can be challenging due to the negative impact of stress on our ability to learn and navigate difficult situations. In this article, we’ll dig into how stress inhibits our ability to learn and what we can do about it.
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sentry

Sentry is now Fair Source

Aug 6, 2024 By Chad Whitacre In Sentry
Today we’re launching Fair Source, a new approach to software sharing that is safe for companies to adopt and developers to use. Before Fair Source, companies that wanted to engage the developer community with their core products often did not know how to do so while maintaining control over their roadmap and business model. The result is that most software products today are closed-source. With Fair Source, companies have a new option. The Fair Source option is not theoretical.
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broadcom

Enterprise DORA Metrics: Scaling Measurement Across Value Streams and the Organization

Aug 6, 2024 By Shamim Ahmed In Broadcom
DevOps Research and Assessment (DORA) metrics are a ubiquitous measure of DevOps performance. These metrics are used in nearly every enterprise engaged in software development. DORA metrics help measure DevOps maturity, identify bottlenecks, and guide quality and process improvements. Despite their popularity, DORA metrics are generally considered difficult to measure and are primarily used by technical teams within the context of their respective domains.
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bugsplat

The 80/20 Rule of Bug Fixing

Aug 6, 2024 By Joey P In BugSplat
At BugSplat, we've been supporting applications and video games with crash and error reporting for a long time. Over the years, we've collaborated with a wide range of teams, handling applications of all sizes. From our experience and numerous conversations with users, we've noticed an interesting trend: the distribution of crashes isn't uniform. If your application experiences 100 crashes in a given version, those crashes aren't caused by 100 different defects.
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grafana

Prometheus data source update: Redefining our big tent philosophy

Aug 6, 2024 By Logan Smith In Grafana
As we continue adding to our growing catalog of more than 100 plugins for Grafana, we have been focused on developing data sources for Grafana that are more purpose-built for the respective technologies. One example has been the recent update to our core Prometheus data source. We have deprecated AWS authentication from the original Prometheus data source, and we created a new dedicated Amazon Managed Service for Prometheus plugin that will specifically cater to the AWS use case.
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stackify

Developer's Guide to Getting Started with Pandas Profiling

Aug 6, 2024 By Stackify In Stackify
Exploratory data analysis is a key component of the machine learning pipeline that helps in understanding various aspects of a dataset. For example, you can learn about statistical properties, types of data, the presence of null values, the correlation among different variables, etc. But to get these details, you need to use different types of Python methods and write multiple lines of code.
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