Shawn  Durgan

Shawn Durgan

1621674949

Comparison of Apache Kafka Products and Cloud Services

Comparison of Open Source Apache Kafka vs Vendors including Confluent, Cloudera, Red Hat, Amazon MSK. Let’s see how big Kafka really is.

Apache Kafka became the de facto standard for event streaming. The open-source community is huge. Various vendors added Kafka and related tooling to their offerings or provide a Kafka cloud service. This blog post uses the car analogy - from the motor engine to the self-driving car - to explore the different Kafka offerings available on the market. I also cover a few other vehicles, meaning (partly) Kafka-compatible technologies. The goal is not a feature-by-feature comparison (that would be outdated the day after the publication). Instead, the intention is to educate about the different deployment models, product strategies, and trade-offs from the available options.

What car would you choose

Disclaimer: I work for Confluent. However, the post is not about comparing features but explaining the concepts behind the alternatives. I talk to enterprises across the globe every week. I can assure you that many people I talk to are not aware or mislead about what you read in the following sections. Hence, I hope that the following helps you to make the right decision. Either choose to run open-source Apache Kafka or one of the various commercial Kafka offerings, or even a combination of both.

Apache Kafka Components and Use Cases

The goal is not to introduce Kafka here. The minimum you should know is that Kafka is NOT just a messaging layer for data ingestion into a data lake. This is just a fraction of today’s usages.

Kafka is an open-source framework under Apache 2.0 license. It provides a combination of messaging, storage, processing, and integration of high volumes of data at scale in real-time and fault-tolerant. That’s what makes Kafka unique compared to other MQ, ETL, ESB, and API platforms.

Kafka is deployed in production for various use cases across industries. This includes analytical and mission-critical workloads. Different deployments require different SLAs. You should always ask yourself what happens if the Kafka infrastructure is in trouble. What are your RTO (Recovery Time Objective) and RPO (Recovery Point Objective)? Or in other words: How much data is okay to lose? How much downtime is acceptable? Start your Kafka projects with these questions in mind when you start your comparison of the options!

#aws #big-data #cloud #kafka #apache-kafka

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Comparison of Apache Kafka Products and Cloud Services
Adaline  Kulas

Adaline Kulas

1594162500

Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

  • Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

  • Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

  • Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Adaline  Kulas

Adaline Kulas

1594166040

What are the benefits of cloud migration? Reasons you should migrate

The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.

In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.

#cloud computing services #cloud migration #all #cloud #cloud migration strategy #enterprise cloud migration strategy #business benefits of cloud migration #key benefits of cloud migration #benefits of cloud migration #types of cloud migration

Shawn  Durgan

Shawn Durgan

1621674949

Comparison of Apache Kafka Products and Cloud Services

Comparison of Open Source Apache Kafka vs Vendors including Confluent, Cloudera, Red Hat, Amazon MSK. Let’s see how big Kafka really is.

Apache Kafka became the de facto standard for event streaming. The open-source community is huge. Various vendors added Kafka and related tooling to their offerings or provide a Kafka cloud service. This blog post uses the car analogy - from the motor engine to the self-driving car - to explore the different Kafka offerings available on the market. I also cover a few other vehicles, meaning (partly) Kafka-compatible technologies. The goal is not a feature-by-feature comparison (that would be outdated the day after the publication). Instead, the intention is to educate about the different deployment models, product strategies, and trade-offs from the available options.

What car would you choose

Disclaimer: I work for Confluent. However, the post is not about comparing features but explaining the concepts behind the alternatives. I talk to enterprises across the globe every week. I can assure you that many people I talk to are not aware or mislead about what you read in the following sections. Hence, I hope that the following helps you to make the right decision. Either choose to run open-source Apache Kafka or one of the various commercial Kafka offerings, or even a combination of both.

Apache Kafka Components and Use Cases

The goal is not to introduce Kafka here. The minimum you should know is that Kafka is NOT just a messaging layer for data ingestion into a data lake. This is just a fraction of today’s usages.

Kafka is an open-source framework under Apache 2.0 license. It provides a combination of messaging, storage, processing, and integration of high volumes of data at scale in real-time and fault-tolerant. That’s what makes Kafka unique compared to other MQ, ETL, ESB, and API platforms.

Kafka is deployed in production for various use cases across industries. This includes analytical and mission-critical workloads. Different deployments require different SLAs. You should always ask yourself what happens if the Kafka infrastructure is in trouble. What are your RTO (Recovery Time Objective) and RPO (Recovery Point Objective)? Or in other words: How much data is okay to lose? How much downtime is acceptable? Start your Kafka projects with these questions in mind when you start your comparison of the options!

#aws #big-data #cloud #kafka #apache-kafka

Best Cloud Computing (AWS) Development Company

Mobile App Development India engineers, who hold years of experience in building data centers in the cloud. Being AWS partner, our app developer’s offer spearhead integration services for Cloud to Cloud and Business-to-Business for all three models - SaaS, PaaS and IaaS.

Contact: https://www.mobile-app-development-india.com/cloud-computing-aws/

#cloud computing services india #cloud computing services #amazon cloud services india #amazon cloud computing services #cloud application development #amazon cloud app development

Cloud Computing Services | SaaS, PaaS, IaaS - WebClues Infotech

Cloud Computing Services

Data Management has taken a new turn with the introduction of Cloud Storage which has resulted in requirements for Cloud Computing. It is nothing but the data processing system that takes away a load of data management from the hands of individual devices.

Want to use cloud computing like Amazon Web Services (AWS) for your business data?

WebClues Infotech has been an expert in helping businesses with AWS cloud computing for years. We have helped the majority of our client base with AWS cloud computing to solve their data management needs.

Want to know more about our AWS cloud computing services?

Visit: https://www.webcluesinfotech.com/cloud-computing-aws-services/

Share your requirements https://www.webcluesinfotech.com/contact-us/

View Portfolio https://www.webcluesinfotech.com/portfolio/

#cloud computing services #cloud based services #best cloud computing services #cloud computing services for enterprises #cloud computing companies