Introduction
In a Kafka-based application, messages for specific topics are generated from some producers, and sent to the Kafka brokers. The brokers perform required replications and distribute messages to the consumers of the respective topics. After receiving messages from the brokers, a consumer will perform some tasks and let the brokers know the messages have been committed (or consumed). The zookeepers maintain the offset of the last message sent by a producer for a topic, and the offset of the last committed message notified by a consumer for a topic. When there is a burst of messages received by the brokers…
MILPITAS, CA, September 10, 2021 — ProphetStor Data Services, Inc. today announced the general availability of Federator.ai 4.7. Federator.ai, ProphetStor’s Artificial Intelligence for IT Operations (AIOps) platform, provides intelligence for orchestrating Kubernetes container resources on top of virtual machines (VM) or bare metal, allowing users to optimize infrastructure and application resources efficiently with automation. In addition, Federator.ai ML-based solution automatically identifies and recommends the actions needed for applications to run cost-effectively while maintaining performance goals.
Significant features in Federator.ai 4.7 include the following:
- Cost analysis and management — analyzes and reports cloud spending at namespace/project level, application level, and VM…
MILPITAS, CA, July 19, 2021 — ProphetStor Data Services, Inc. today announced the immediate availability of the company’s flagship AIOps solution Federator.ai through the Datadog Marketplace. Federator.ai is an AIOps platform that provides intelligence for orchestrating Kubernetes container resources on top of virtual machines (VM) or bare-metal servers, allowing users to operate applications without the need to manage the provisioning of the underlying computing resources manually.
Datadog’s monitoring and security platform collects metrics, traces, logs, and more to provide observability for modern cloud environments. Using metrics from Datadog, Federator.ai provides machine learning-based predictions to make resource recommendations, and auto-scale containerized…
The accelerated shift of running applications on-premises to running them in the cloud has taught many enterprises expensive lessons about managing pay-as-you-go pricing models. While some early missteps may be chalked up to inexperience, many large organizations continue to provision cloud resources ineffectively, and this is costing them well into the hundreds of thousands — sometimes millions — of dollars annually.
As cloud adoption accelerates, the problem is getting worse. According to Gartner, public cloud workloads are forecast to rise 18% this year, while Flexera’s 2020 State of the Cloud Report estimates that 35% of cloud spend is wasted. …
MILPITAS, CA, June 11, 2021 — ProphetStor Data Services, Inc. today announced its partnership with Padok, a French DevOps and Cloud solution company specializing in cloud expertise and the development of IT infrastructure projects, to help our joint customers to leverage the operation data for optimization in their cloud operations. The agreement illustrates ProphetStor’s commitment to the customers in this region to provide the best support to startups and big enterprises alike in Europe for their journey to the Cloud.
Federator.ai, ProphetStor’s AIOps platform, uses advanced machine learning technology on operation data collected by monitoring service providers or solutions, such…
Value Proposition of Federator.ai
Why Federator.ai
Application behaviors are dynamic and optimization are hard, so ProphetStor Federator.ai is here to help. Federator.ai can do prediction of the application behavior and constructing the multi-layer correlation and causality analysis for full stack behavior prediction and optimization, which can save of 1000s times of resources for building predictive models for layers.
For more information, please see the following infographic.
MILPITAS, CA, March 15, 2021 — ProphetStor Data Services, Inc. today announced the general availability of Federator.ai 4.4. Federator.ai, ProphetStor’s Artificial Intelligence for IT Operations (AIOps) platform, provides intelligence for orchestrating Kubernetes container resources on top of virtual machines (VM) or bare metal, allowing users to operate applications without the need to manage the underlying computing resources manually. Key features in the latest Federator.ai release include Spot instance recommendations for MultiCloud cost analysis and the support of metrics collected by Sysdig, a secure DevOps company that helps organizations secure containers, Kubernetes, and cloud services.
Utilizing metrics from Sysdig, Federator.ai provides…
OpenShift enables organizations to accelerate delivery cycles and rapidly scale their operations to meet the demands of today’s fast-paced market. For example, individual application teams can deploy multiple versions every day on common infrastructure, and scale their applications to meet the demand of their users. However, Datadog’s recent containers study found that the majority of OpenShift and Kubernetes workloads are underutilizing CPU and memory resources.
In this webinar, we show how Datadog and ProphetStor help teams to solve the challenges in deploying containerized applications on OpenShift by bringing end-to-end visibility and resource optimization recommendations to meet application performance and cost…
Value Proposition of Federator.ai
Why Kubernetes
Kubernetes makes a breakthrough for devops because it allows teams to keep pace with the requirements of modern software development. Its agile, fault tolerant, auto scaling make it trending in industries. However, Kubernetes is also complicated to configure and heuristic in operation.
Why Federator.ai
To deal with this predicament, Prophetstor Federator.ai brings machine learning to make Kubernetes automated Application-Aware and Workload-Sensible, which can save your operation cost and improve applications performance at the same time.
For more information, please see the following infographic.
Orchestrate, optimize and manage your costs in public cloud, hybrid cloud, or multi-cloud
Value Proposition of Fedemeter
Fedemeter, the patent-pending cost analysis module of Federator.ai, takes the input of current cluster configuration and workload prediction to produce a recommendation of the most cost-optimized cluster configuration for users. The recommendation output is a time series of Just-in-Time Fitted instance size to support application workloads without resource wastes. The most cost-effective instance types with the best purchasing options are recommended.
For more information, please see the following infographic.
