With more focus on big data and the need to translate many data sources to other data consumers, Apache Kafka has emerged as the leading tool for efficiently and reliably handling this. In addition to configurations, maximizing Kafka’s capabilities is tied directly to the infrastructure you select.
Tag: FinOps
Incorporating private clouds into your organization’s FinOps strategy offers numerous strategic advantages, particularly in terms of cost optimization and resource management. In addition to cost control and visibility that the private cloud, fixed cost model provides, private clouds offer flexibility in resource allocation and customization, enabling organizations to tailor hardware configurations for their specific workloads.
FinOps is more than shopping for the right price and then getting surprised by variable bandwidth costs, FinOps requires proactive management of variable cloud costs. FinOps is a cultural shift which fosters a collaborative culture within an organization, it requires all teams responsible for decision-making on cloud resources and optimizing the spend with carefully monitoring and reporting.
OpenStack Horizon has long been the standard GUI for management and provisioning of OpenStack cloud resources. But a new dashboard has been growing in popularity and features, and may be a better option for many users.
In the landscape of big data analytics, Apache Spark has emerged as a powerful tool for in memory big data processing. The foundation for maximizing Spark’s capabilities lies in the infrastructure. OpenMetal’s XL V2.1 servers offer a solution that marries high performance with cost-effectiveness for Spark clusters.
When it comes to processing big data, Hadoop clusters are a popular and mature open source system that enables businesses to analyze vast amounts of data efficiently. At OpenMetal, we understand the critical role that hardware plays in the performance and cost-efficiency of these clusters. That’s why our OpenMetal Storage XL V2 servers are designed to offer optimal performance for Hadoop environments.
Ready for a cost-efficient transition from AWS to your own data center? This blog covers everything your need to know including feature compatibility, team requirements for deployment and on-going management and insights into the initial deployment process.
Cloud has matured dramatically in the last 10 years. In the beginning there were only a few cloud deployment model options. Today, in 2024, there are many easy and fast ways to get cloud. Let’s go through different cloud deployment models that are mature and provide a quality experience when measured against solid cloud native requirements.
Cloud cost optimization is the practice of efficiently managing the cost of your business’ cloud computing resources. An effective cloud cost optimization strategy ensures that your business gets the best value from its cloud investments. This strategy will find the right balance between performance, cost, compliance, and security for each workload or application your business has in the cloud.