Understanding, detecting and localizing partial failures in large system software

Understanding, detecting and localizing partial failures in large system software, Lou et al., NSDI’20

Partial failures (gray failures) occur when some but not all of the functionalities of a system are broken. On the surface everything can appear to be fine, but under the covers things may be going astray.

When a partial failure occurs, it often takes a long time to detect the incident. In contrast, a process suffering a total failure can be quickly identified, restarted, or repaired by existing mechanisms, thus limiting the failure impact.

Because everything can look fine on the surface, traditional failure detectors or watchdogs using external probes or monitoring statistics may not be able to pick up on the problem. Today’s paper choice won the authors a best paper award at NSDI’20. It contains a study of partial failure causes, and a novel approach to fault detection using system-specific, auto-generated watchdogs.

Characterising partial failures

Before designing a better system for detecting partial failures, the authors set about understanding their nature and causes through a study of five software systems (ZooKeeper, Cassandra, HDFS, Apache, and Mesos). For each of these systems they crawled the bug databases to find critical issues Continue reading

As networks evolve enterprises need to rethink security

Digital innovation is disrupting businesses. Data and applications are at the hub of new business models, and data needs to travel across the extended network at increasingly high speeds without interruption. To make this possible, organizations are radically redesigning their networks by adopting multi-cloud environments, building hyperscale data centers, retooling their campuses, and designing new connectivity systems for their next-gen branch offices. Networks are faster than ever before, more agile and software-driven. They're also increasingly difficult to secure. To understand the challenges and how security needs to change, I recently talked with John Maddison, executive vice president of products for network security vendor Fortinet.To read this article in full, please click here

As the networks evolve enterprises need to rethink network security

Digital innovation is disrupting businesses. Data and applications are at the hub of new business models, and data needs to travel across the extended network at increasingly high speeds without interruption. To make this possible, organizations are radically redesigning their networks by adopting multi-cloud environments, building hyperscale data centers, retooling their campuses, and designing new connectivity systems for their next-gen branch offices. Networks are faster than ever before, more agile and software-driven. They're also increasingly difficult to secure. To understand the challenges and how security needs to change, I recently talked with John Maddison, executive vice president of products for network security vendor Fortinet.To read this article in full, please click here

CEX (Code EXpress) 07. Loops are bad in the networks, but not in code.

Hello my friend,

We have covered all the necessary types of the Python’s variables (ordinary, lists and dictionaries) and now we can move on with further concepts. And the first immediate pit stop is the question “how can we work with the Python’s lists and dictionaries efficiently?” The answer wold be “just loop them”!

Network automation training – boost your career

Don’t wait to be kicked out of IT business. Join our network automation training to secure your job in future. Come to NetDevOps side.

How does the training differ from this blog post series? Here you get the basics and learn some programming concepts in general, whereas in the training you get comprehensive set of knowledge with the detailed examples how to use Python for the network and IT automation. You need both.

What are we going to do today?

The looping of the sibling’s element out of any data structure, such as a Python’s list or a dictionary, is one of the essential building blocks of any programming code, including the simplest ones. Therefore, today you will learn:

  • How to create loop over Python’s lists using for instruction.
  • How to create loop over Continue reading

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vlog. Episode 7. Open Networking and white boxes

Hello my friend,

after short pause caused by the launch of the Network Automation Training we continue our video blog series. We’ve written a lot about open networking so far and today we talk about it.

CY2019 Episode 7 // Open Networking with Avi Alkobi

In this episode, together with Avi Alkobi from Mellanox we explore the Open Networking world from the Data Centres perspective. On a side note, we discuss the new paradigm for networking: open-source vs. traditional vendor lock-in.

Don’t forget to subscribe for the channel, put likes and repost the video if you like that! ?

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P.S.

If you have further questions or you need help with your networks, I’m happy to assist you, just send me message. Also don’t forget to share the article on your social media, if you like it.

BR,
Anton Karneliuk

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Heavy Networking 506: Where Is The Industry Headed With Intent-Based Networking?

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Configuring Kustomize Transformers for Cluster API

In November 2019 I wrote an article on using kustomize with Cluster API (CAPI) manifests. The idea was to use kustomize to simplify the management of CAPI manifests for clusters that are generally similar but have minor differences (like the AWS region in which they are running, or the number of Machines in a MachineDeployment). In this post, I’d like to show a slightly different way of using kustomize with Cluster API that involves configuring the kustomize transformers.

If you aren’t familiar with kustomize, I’d recommend having a look at the kustomize web site and/or reading my introductory post. A transformer in kustomize is the part that is responsible for modifying a resource, or gathering information about a resource over the course of a kustomize build process. This page has some useful terminology definitions.

Looking back at the earlier article on using kustomize with CAPI, you can see that—due to the links/references between objects—modifying the name of the AWSCluster object also means modifying the reference to the AWSCluster object from the Cluster object. The same goes for the KubeadmConfigTemplate and AWSMachineTemplate objects referenced from a MachineDeployment. Out of the box, the namePrefix transformer will change the names of these Continue reading

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