1637891059
Everything You Need to Know About GitOps
Everything You Want to Know About GitOps
GitOps core concepts, benefits of using Flux as a continuous delivery solution, and implementation best practices for performing at-scale deployments with GitOps.
Demo: Bootstrapping a DigitalOcean Kubernetes cluster
GitOps is a set of practices to manage infrastructure and application configurations using Git, an open source version control system. This latest mechanism of continuous delivery (CD) relies on Git as a single source of truth for declaring infrastructure and application configuration.
#gitops
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Everything You Need to Know about Apache Storm
The ever-increasing growth in the production and analytics of Big Data keeps presenting new challenges, and the data scientists and programmers gracefully take it in their stride – by constantly improving the applications developed by them. One such problem was that of real-time streaming. Real-time data holds extremely high value for businesses, but it has a time-window after which it loses its value – an expiry date, if you will. If the value of this real-time data is not realised within the window, no usable information can be extracted from it. This real-time data comes in quickly and continuously, therefore the term “Streaming”.
Analytics of this real-time data can help you stay updated on what’s happening right now, such as the number of people reading your blog post, or the number of people visiting your Facebook page. Although it might sound like just a “nice-to-have” feature, in practice, It is essential. Imagine you’re a part of an Ad Agency performing real-time analytics on your ad-campaigns – that the client paid heavily for. Real-time analytics can keep you posted on how is your Ad performing in the market, how the users are responding to it, and other things of that nature. Quite an essential tool if you think of it this way, right?
Looking at the value that real-time data holds, organisations started coming up with various real-time data analytics tools. In this article, we’ll be talking about one of those – Apache Storm. We’ll look at what it is, the architecture of a typical storm application, it’s core components (also known as abstractions), and its real life-use cases.
Let’s go!
Table of Contents
- What is Apache Storm?
- Apache Storm: General Architecture and Important Components
- Master Node (Nimbus Service)
- Worker Node (Supervisor Service)
- Topology
- Stream
- Spout
- Bolt
- Who Uses Storm?
- Spotify
- To Wrap Up…
#big data #data #technical skills #technology #everything you need to know about apache storm #apache storm
1637891059
Everything You Need to Know About GitOps
Everything You Want to Know About GitOps
GitOps core concepts, benefits of using Flux as a continuous delivery solution, and implementation best practices for performing at-scale deployments with GitOps.
Demo: Bootstrapping a DigitalOcean Kubernetes cluster
GitOps is a set of practices to manage infrastructure and application configurations using Git, an open source version control system. This latest mechanism of continuous delivery (CD) relies on Git as a single source of truth for declaring infrastructure and application configuration.
#gitops
1624305600
SAFEMOON UPDATE - ALL YOU NEED TO KNOW ABOUT SAFEMOON AND SAFEMOON PREDICTION
SAFEMOON UPDATE - ALL YOU NEED TO KNOW ABOUT SAFEMOON AND SAFEMOON PREDICTION
This is all you need to know about safemoon and I provide my safemoon prediction. This is a huge safemoon update so make sure to watch this video until the end.
📺 The video in this post was made by Josh’s Finance
The origin of the article: https://www.youtube.com/watch?v=ZtX7ZIVcXH4
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!
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1620814058
GitOps on Google Cloud Platform - GitOps and Useful GitOps Tools
GitOps is a fairly new (2017) style of implementing DevOps practices that has quickly grown in popularity. This 3-part blog series will:
- Explain the fundamentals of GitOps and the tools you will need in your repertoire to make the principles and practical approach a success in your enterprise.
- Provide a walkthrough of the steps needed to setup and install all the necessary components for a successful GitOps automation process.
- Outline the inner workings of the Caylent GitOps Accelerator and all its benefits.
Origin of GitOps
The term GitOps was coined in a blog post titled “GitOps—Operations by Pull Request” published on August 7, 2017 by Alexis Richardson, the CEO of Weaveworks. However, the fundamental concepts that underpin the GitOps methodology were largely devised by Google and codified in the now-famous Site Reliability Engineering book that was published in March 2016. However, SRE is a very Google-specific methodology that at the time was difficult to implement anywhere else. This has changed in the intervening years, but in the meantime GitOps has evolved to fill in some of the tools and practices that make it possible for everyone to manage systems the way Google does internally.
#gitops #cloud build #gitops tools #google cloud platform #cloud
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Norvergence - AI for Climate Change: All you Need to Know
AI is available in our lives in numerous spaces, from telephones where we can go without much of stretch access practically any data anyplace on the planet to grocery stores where we can shop with a ‘tick’; from banks where we can undoubtedly handle exchanges online to social stages where we invest the majority of our energy.
Yet, can artificial intelligence make a positive commitment to understanding the issues brought about by environmental change and problems continuously transforming into an emergency?
Indeed, AI can help environment analysts discover arrangements in numerous spaces, for example, air contamination. An illustration of this is IBM’s Green Horizon Project, which predicts contamination by breaking down ecological information and testing what will occur if contamination is decreased.
Similarly, Google has reduced its server farms’ energy by around 15% by utilizing data from AI calculations.
Projects like these can likewise help and urge different firms to diminish their carbon impression.
Astounding advancement has been made to utilize AI calculations dependent on information from other outrageous climate occasions to recognize hurricanes and environmental waterways. What’s more, even though machines are not entirely believed, environment researchers can work with them to gain better headway.
Also read more related this post visit here
#norvergence #ai for climate change #ai #climate change #all you need to know