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Will Groq Re-Emerge to Steal AI Market Share?
Will Groq Re-Emerge to Steal AI Market Share?
With the AI chip startup hype cycle spinning down from its feverish pace in 2018, giving way to 2021 expectations for real-world deployments, it still
·nextplatform.com·
Will Groq Re-Emerge to Steal AI Market Share?
Linux Package Managers Compared - AppImage vs Snap vs Flatpak
Linux Package Managers Compared - AppImage vs Snap vs Flatpak
This guide discusses 3 Linux package formats namely Appimage, Snap, flatpak, that each aim to be the future of software deployment and management in Linux.
·ostechnix.com·
Linux Package Managers Compared - AppImage vs Snap vs Flatpak
Appimagekit
Appimagekit
·awesomeopensource.com·
Appimagekit
The Importance of Observability for Developer Velocity – The New Stack
The Importance of Observability for Developer Velocity – The New Stack
Improving observability for developers is the focus of this episode of The New Stack podcast. The featured guests were Zain Asgar, who is general manager of the open source Pixie Kubernetes monitoring tool; Roopak Venkatakrishnan, engineering manager for Bolt, an e-commerce retailer tool; Ihor Dvoretskyi, developer advocate for the and Christine Wang, senior solutions engineer,…
·thenewstack.io·
The Importance of Observability for Developer Velocity – The New Stack
GitLab's 2021 Survey uncovers a new DevOps maturity model | GitLab
GitLab's 2021 Survey uncovers a new DevOps maturity model | GitLab
Our 2021 Global DevSecOps Survey found dramatic advances in DevOps maturity including faster release/deployment cycles, increased automation and improved security postures.
·about.gitlab.com·
GitLab's 2021 Survey uncovers a new DevOps maturity model | GitLab
Why I support systemd's plan to take over the world | Opensource.com
Why I support systemd's plan to take over the world | Opensource.com
Over the years, I have read many articles and posts about how systemd is trying to replace everything and take over everything in Linux. I agree; it is taking over pretty much everything. But not really "everything-everything." Just "everything" in that middle ground of services that lies between the kernel and things like the GNU core utilities, graphical user interface desktops, and user applications.
·opensource.com·
Why I support systemd's plan to take over the world | Opensource.com
Linux Fu: A Little Bit Of (Network) History Repeating Itself | Hackaday
Linux Fu: A Little Bit Of (Network) History Repeating Itself | Hackaday
These days, embedded systems often have networks and that can make them significantly more complex. Networks are usually pretty nondeterministic and there are a variety of oddball conditions. For e…
·hackaday.com·
Linux Fu: A Little Bit Of (Network) History Repeating Itself | Hackaday
Understanding the Raft consensus algorithm: an academic article summary
Understanding the Raft consensus algorithm: an academic article summary
This post summarizes the Raft consensus algorithm presented in the paper In Search of An Understandable Consensus Algorithm by Diego Ongaro and John Ousterhout. All pull quotes are taken from that paper. CreditRaft:Raft is a distributed consensus algorithm. It was designed to be easily understood. It solves the problem
·freecodecamp.org·
Understanding the Raft consensus algorithm: an academic article summary
Balancing Performance, Capacity, And Budget For AI Training
Balancing Performance, Capacity, And Budget For AI Training
If the world was not a complex place, and if all machine learning training looked more or less the same, then there would only be one accelerator to goose
·nextplatform.com·
Balancing Performance, Capacity, And Budget For AI Training
How Fast Can We Detect a Network Failure? « ipSpace.net blog
How Fast Can We Detect a Network Failure? « ipSpace.net blog
In the introductory fast failover blog post I mentioned the challenge of fast link- and node failure detection, and how it makes little sense to waste your efforts on fast failover tricks if the routing protocol convergence time has the same order of magnitude as failure detection time. Now let’s focus on realistic failure detection mechanisms and detection times. Imagine a system connecting a hardware switching platform (example: data center switch or a high-end router) with a software switching platform (midrange router):
·blog.ipspace.net·
How Fast Can We Detect a Network Failure? « ipSpace.net blog