Chef vs Zookeeper: What are the differences?
Developers describe Chef as "Build, destroy and rebuild servers on any public or private cloud". Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others. On the other hand, Zookeeper is detailed as "Because coordinating distributed systems is a Zoo". A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.
Chef can be classified as a tool in the "Server Configuration and Automation" category, while Zookeeper is grouped under "Open Source Service Discovery".
"Dynamic and idempotent server configuration" is the top reason why over 104 developers like Chef, while over 9 developers mention "High performance ,easy to generate node specific config" as the leading cause for choosing Zookeeper.
Chef is an open source tool with 5.86K GitHub stars and 2.36K GitHub forks. Here's a link to Chef's open source repository on GitHub.
Airbnb, Facebook, and Slack are some of the popular companies that use Chef, whereas Zookeeper is used by Uber Technologies, Pinterest, and Shopify. Chef has a broader approval, being mentioned in 360 company stacks & 80 developers stacks; compared to Zookeeper, which is listed in 116 company stacks and 48 developer stacks.
What is Chef?
What is Zookeeper?
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Since #ATComputing is a vendor independent Linux and open source specialist, we do not have a favorite Linux distribution. We mainly use Ubuntu , Centos Debian , Red Hat Enterprise Linux and Fedora during our daily work. These are also the distributions we see most often used in our customers environments.
For our #ci/cd training, we use an open source pipeline that is build around Visual Studio Code , Jenkins , VirtualBox , GitHub , Docker Kubernetes and Google Compute Engine.
For #ServerConfigurationAndAutomation, we have embraced and contributed to Ansible mainly because it is not only flexible and powerful, but also straightforward and easier to learn than some other (open source) solutions. On the other hand: we are not affraid of Puppet Labs and Chef either.
Currently, our most popular #programming #Language course is Python . The reason Python is so popular has to do with it's versatility, but also with its low complexity. This helps sysadmins to write scripts or simple programs to make their job less repetitive and automating things more fun. Python is also widely used to communicate with (REST) API's and for data analysis.
Initially, Stitch only supported real-time updates and addressed this problem with a MapReduce job named The Restorator that performed the following actions:
- Calculated the expected totals
- Queried Cassandra to get the values it had for each counter
- Calculated the increments needed to apply to fix the counters
- Applied the increments
Meanwhile, to stop the sand shifting under its feet, The Restorator needed to coordinate a locking system between itself and the real-time processors, so that the processors did not try to simultaneously apply increments to the same counter, resulting in a race-condition. It used ZooKeeper for this.
Like many large scale web sites, Pinterest’s infrastructure consists of servers that communicate with backend services composed of a number of individual servers for managing load and fault tolerance. Ideally, we’d like the configuration to reflect only the active hosts, so clients don’t need to deal with bad hosts as often. ZooKeeper provides a well known pattern to solve this problem.
Out custom recipes makes it simple for developers bootstrap process (using vagrant) and that same recipe is also the one that is used to prep instances
Zookeeper manages our state, and tells each node what version of code it should be running.
Used Zookeeper as the resource management system for Mesos/Marathon services.