Log data search – simplified and accelerated
Shyft Search
Find the needle in the haystack twice as fast. Rapidly search, analyze, and visualize with Shyft Search.
Use your data
Storing years of historical data can become quite cumbersome. Organizations require a way to actually utilize their data once it has been stored.
Search allows users to manage and analyze their observability and security data more efficiently. Optimized for performance, users can perform fast searches across huge volumes of log data – this is especially important when working with vast amounts of machine data.
Low-latency facilitates the rapid retrieval of relevant data for troubleshooting, analysis, while it’s self-service structure makes creating queries and dashboards intuitive even for users without extensive technical knowledge.
Search is decoupled from the storage layer, and also allows for an economical usage of compute and storage.
Capable of ingesting multiple data sources, it can easily be built out for federated search.
The Details:
- Kusto language
- Regex based extractions
- Events viewer
- Object viewer
- Chart editor
- Dashboards
Process
Building a cloud architecture involves several steps to design and implement an effective and scalable cloud infrastructure. Here is an overview of the general steps involved:
- Define Requirements
- Determine Model
- Choose Provider
- Design Architecture
- Establish Security
- Data Management
- Deploy
Decide on the appropriate cloud model based on your requirements. This could be a public cloud, private cloud, hybrid cloud, or multi-cloud approach. Each model has its advantages and considerations.
Determine your business needs, goals, and objectives for moving to the cloud. Identify the applications, services, and data that will be part of your cloud architecture.
Evaluate different cloud service providers based on factors such as reliability, performance, security, cost, and specific services they offer. Popular providers include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and IBM Cloud.
Plan the network infrastructure for your cloud environment. Define subnets, virtual private clouds (VPCs), security groups, and other networking components. Consider factors like scalability, availability, and data transfer requirements.
Define a robust security strategy to protect your cloud resources and data. Implement measures such as firewalls, encryption, access controls, intrusion detection and prevention systems, and regular security audits.
Determine how your data will be stored, organized, and accessed in the cloud. Choose appropriate storage options, such as object storage, block storage, or file storage. Consider data backup, replication, and disaster recovery mechanisms.
Determine the appropriate virtualization technologies, such as virtual machines (VMs) or containers, for your applications and services. Configure and deploy them in your cloud environment.
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Our solutions optimize efficiency and drive growth. Protect your valuable data with ironclad security measures, boost your agility with rapid deployment and scalability, and leverage advanced analytics to unlock actionable insights.
- At Scale with state of art technology.
- Cost that is 3 to 5 times less than existing clouds.
- High Performance Distributed Compute, Storage & Network. > 300K
- IOPS on nvme storage.
- Reducing carbon footprint.
- Free to Access Data from any cloud with zero cost.
- Complete Physical and Data Security.
Schedule a call to discuss your Supercloudnow solution today.