Hostersi first configured their new infrastructure and migrated the systems to a new Data Center in order to eliminate some of the bottlenecks and challenges it was experiencing.
The changes implemented by Hostersi resulted in full redundancy and High Availability. That means that even if a substantial part of the Customers infrastructure should fail, users would not even notice it.
In order to increase the performance of the applications, Hostersi implemented HTTP2 protocol. Another part of the project was to provide fast access to the platform from anywhere by implementing CDN (Content Delivery Network). The level of security was increased by building in DDoS Prevention mechanisms. Upgrading the overall infrastructure eliminating major security gaps related to meltdown.
Last (but not least) part of the project was the implementation of the log management tools set ELK Stack that consists of Elasticsearch (text search engine), Logstash (log aggregation) and Kibana (visualization).
The parallel Distributed Geo-Redundant File System LizardFS was used for storing and aggregating data from many applications before it gets to ELK.
Thanks to that configuration (Elasticsearch and LizardFS) Hostersi managed to build a storage with searching capabilities that are compliant with GDPR.
Data aggregation due to security precautions is done from flat files. These files are later processed by parsers in Logstash. The whole process is done this way so data can return to the canonical state of a log.
Thanks to LizardFS Hostersi can scale both up and down simply by adding a drive or a node – the system will automatically balance itself.
LizardFS being totally hardware agnosticism enables Hostersi to use their existing infrastructure and gives them the possibility to exit vendor lock-in if they are buying any new commodity components.
LizardFS and Elasticsearch are open source products, you can install them on existing infrastructure. They enable you to create a platform for content management and storage in a cost-effective way. High Availability and extreme scalability are just a few added value features provided by LizardFS.
We are so grateful to the people that contribute to our project. Recently thanks to Andrew Mind there is a LizardFS manual available in Russian.
Next contributions are coming up shortly so stay tuned!
It is a general trend which is getting stronger and stronger. Moving away from closed-source, proprietary solutions to COTS, open infrastructure, solutions that enable people to use commodity hardware.
You could see that in a couple of talks at #NABshow. People are not only working on them, some of them are already using such solutions.
Embrace the shift from #fiberchannel to #ethernet Find out how you can benefit from #opensource hardware agnostic #scaleout high-performance #distributed #filesystem Visit #lizardfs booth on #NAB2018 N2936sul-b (North Hall).
As everything that we do Hadoop Plugin for LizardFS is as simple as we could make it.
This is a java based solution allowing Hadoop to use LizardFS storage, implementing an HDFS interface to LizardFS. It functions as kind of a File System Abstraction Layer. It enables you to use Hadoop jobs to directly access the data on a LizardFS cluster. The plugin translates LizardFS protocol and makes the metadata readable for Yarn and Map Reduce. For performance, Hadoop nodes should run on the same machines as LizardFS chunk servers.
LizardFS mount gives direct access to stored files, from the OS level. This allows you to use it as a shared storage in your company and a computation storage for HADOOP at the same time. It is not required to use HADOOP tools to put/get files from your storage in comparison to HDFS. We can also take advantage of Erasure Coding and save a lot of disk space (HDFS recommends to store 3 copies).
public BlockLocation getFileBlockLocations(FileStatus file, long start, long len)
Returns information where data blocks are held in your LizardFS installation. If Hadoop is run on the same machines, it can take advantage of data locality.
To install Hadoop with LizardFS:
1) Install and setup LizardFS cluster
2) Install HADOOP – but don’t start
3) Install LizardFS-HADOOP plugin on all HADOOP nodes
4) Configure LizardFS-Plugin in HADOOP (alongside HDFS or replace it)
5) Start HADOOP
Let us know what you think of it.
Come visit our stand at NABSHOW in Las Vegas.
North Hall Central Lobby in the Startup Loft, Booth number: N2936SUL-B
After so many tests we decided to release pre-alfa, cutting-edge Hadoop connector for LizardFS.
You can download it from here.
We are waiting for the feedback.
At the moment you will be required to build the binaries yourself.
We are looking forward to some feedback. Please bear in mind that we are not Hadoop experts, thu we might have missed some test scenarios.
We really need a help from the community site on this one. Help greatly appreciated and needed.
Let us know if you will be at #MWC18
Would love to meet up and discuss storage
Come visit us at our stand and see how #LizardFS can help you!
Find us in the Innovation Zone at Hollywood Professionals Association Tech Retreat.
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We have a clear goal which we have set ourselves - to deliver the best Software Defined Storage solution. However, we know even when we reach our current objective, we will not stop innovating. Check out the new version of LizardFS and judge for yourself.
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