Fluentd is an open-source data collector that unifies data collection and consumption. It has different types of plugins that retrieve logs from external sources, parse them, and send them to log management tools like Site24x7 AppLogs. tail, forward, udp, tcp, http, syslog, exec, and windows_eventlog are common input plugins.

Are you looking for an open source cloud platform and you don’t know where to start? Are you getting lost in all the independent rankings and cloud platform comparison pages? Try OpenStack and get your open source cloud platform up and running today. OpenStack works at any scale: from a single workstation to thousands of nodes and installs in minutes. Sounds impossible? Give it a try or continue reading to explore where is it coming from.

Speedscale is excited to join the AWS Partner Network (APN), the global community of partners who leverage Amazon Web Services (AWS) to build solutions and services for customers. AWS Partners are uniquely positioned to help businesses take full advantage of all that AWS has to offer and accelerate the journey to the cloud. As part of this achievement, Speedscale has completed the AWS Foundational Technical Review (FTR).

Modern product management philosophy encourages teams to use user-centered design, lean startup techniques, and agile development practices to build successful products that meet customer needs and respond to changes in technology and the marketplace.

As open-source software evolves and grows, it’s important that organizations, both large and small, can scale to keep up with their end user’s needs. At Codefresh, we are announcing a new release of our platform, Codefresh Software Delivery Platform, powered by Argo (CSDP) which delivers a scalable deployment management platform with Argo. Some of the major new features include the following support: These are some of the major new features in Codefresh’s new platform.

Here are the articles, videos, and tools that we’ve been excited about this January. We hope you enjoy these links, and we look forward to hearing what you’ve been reading in the comments or on the Interrupt Slack.

For decades, scientists and tech visionaries have envisioned a day when computers become so powerful that they become smarter than the human race. There is no shortage of science fiction stories and movies about robot uprisings. We are very far from that scary scenario, but at the same time artificial intelligence (AI) is no longer sci-fi. Many applications of AI abound today in business, and it is even being used in creative professions.

Will your software perform well during peak hours? Can it handle the load during sales periods? Is your infrastructure valid if you double your sales by the end of the year? These are just some of the questions that scalability testing can help you answer. Scalability testing evaluates the activity level of your application by upscaling and downscaling the number of users.

After talking to machine learning and infrastructure engineers at major Internet companies across the US, Europe, and China, two groups of companies emerged. One group has invested hundreds of millions of dollars into infrastructure to allow real-time machine learning and has already seen returns on their investments. The other group still wonders if there’s value in real-time machine learning.