Apache Kafka Implementation Team
AT
reviewer2075460
Group Manager at a media company with 201-500 employees
We deployed the solution On-premises because it is a Middle East client. That is where my admin experience in the last two years has been too much. So even if I move to the cloud, it'll be much easier because I have seen cluster implementation from scratch and how it is done. So I have been involved in the very first stage of working with Cloudera on the sizing and then working on the actual infrastructure networking team on the implementation, working with the network team on doing all the network structuring, then setting up the cluster ourselves. I have a team of around seventeen people who am I getting here. So yeah, from that perspective, it is there, but what we are implementing is Cloudera private cloud-based as a solution, which is a future-ready solution for the cloud.
So once cloud services enter with least, especially Saudi Arabia, for example, the CPaaW as an Azure, our cluster will always be ready to be upgraded to the cloud because there's a private cloud-based solution on which we have the cluster. We can anytime add the cloud-native hosts and nodes onto our cluster. Also, at the same time, because it's a banking client, it has some restrictions in terms of geographies and all for the data to decide. The physical cluster provides a solution from the future AD perspective that once TCP, Azure, and AWS set up their data centers in Saudi Arabia, we can have some of our data nodes in the bank data center, plus we can have other sets of nodes or VMs in the cloud service provider's data center.
View full review »We do the implementation in-house.
View full review »The implementation was completed in-house.
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Apache Kafka
April 2024
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Our DevOps team in our IT department did the deployment of the solution. It was mostly virtual work. The maintenance of the solution does not take a lot of time.
View full review »SP
reviewer1142973
CEO at a comms service provider with 11-50 employees
We have our own team to deploy it. We also take care of its maintenance. We have a team of five or six employees to provide 24/7 support to our customers.
View full review »GT
George Thomas
Lead Architect at a financial services firm with 1,001-5,000 employees
The deployment was completed in-house.
Currently, there is a team of three to maintain this solution. There are application support personnel in charge of access control.
View full review »Our team handled the deployment in-house.
View full review »The implementation was carried out in-house.
View full review »I did our local implementation and we have someone else that does the cloud deployment.
View full review »These systems were installed by somebody else, not me.
View full review »TD
reviewer1218324
Head of Technology - Money Movement Platform at a financial services firm with 10,001+ employees
We did the implementation of Apache Kafka in-house.
View full review »The implementation was through a vendor.
View full review »NK
Nitin Kamble
Director at Tibco
We typically implement the solution in-house.
View full review »JA
Jack Angoe
Technical Lead at Interface Fintech Ltd
We have a team of three people who handled the deployment in-house. They also handle the maintenance for the solution.
View full review »Deployment was done in-house, but we're starting a collaboration with another company and we introduced this company to running this solution. Specifically, we started a collaboration with AWS to promote our platform in a Western marketplace. In this way, it's very easy to use our solution because it is a part of an AWS service, certificated by an engineer.
View full review »DZ
Dimitrios Zigkos
Enterprise Architect at Smals vzw
One skillful DevOps engineer can implement the solution.
We have approximately two to four technical managers that are deploying and supporting Apache Kafka. A technical manager is necessary.
View full review »The recent proof of concept was done on behalf of a client by a system integrator. Similarly, the previous one was mainly done in-house and it utilized Confluent, Apache Kafka, and MSK. The process involved setting up pre-built capabilities.
View full review »RP
Ravi-Patel
Assistant Professor at CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOGY
We did the implementation ourselves.
View full review »JB
reviewer2000091
Software Support & Development Engineer at a computer software company with 501-1,000 employees
We set up the solution in-house.
View full review »DP
DustyPressley
Sr Technical Consultant at a tech services company with 1,001-5,000 employees
We provide the implementation service.
View full review »TM
reviewer1398480
Building Event-centric Data processing Architectures at a tech services company with 51-200 employees
The deployment was done in-house. We used the tools that we have in our CI/CD pipeline. We needed three people for the deployment. The infrastructure team maintains the tool. The infrastructure team has three to ten members.
View full review »KQ
Kevin Quon
Senior Technical Architect at a computer software company with 51-200 employees
We implemented it in-house and then went with the Hortonworks Data Platform distribution.
View full review »YL
reviewer1128858
Vice President at a consultancy with 51-200 employees
We deployed it ourselves.
View full review »JJ
reviewer1247268
Technology Lead at a tech services company with 10,001+ employees
In one case, we were using Kafka after it had already been set up, externally. It worked fine and we just had to configure some of the connectors that we wanted to try out.
View full review »Implementation was in-house based on the open-source version.
View full review »AM
AhmadMasamreh
IBMi/MIMIX Administrator at Arab Bank
We deployed this solution ourselves.
View full review »OT
OnurTokat
Senior Big Data Developer | Cloudera at Dilisim
I handled the implementation for cloud-based clusters. I defined the broker nodes and other nodes for Kafka. We are a cloud integrator, so we handled it ourselves.
View full review »I implemented it on my own.
View full review »Buyer's Guide
Apache Kafka
April 2024
Learn what your peers think about Apache Kafka. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
767,667 professionals have used our research since 2012.