Services – Interscape Technologies Inc

Our Key Services

To elevate your operational efficiency

Application Discovery and Dependency Mapping

The packaged solution operates in the exact same way as our branded PAAS and CAAS approach, which includes a SME, a license for the PerfonicsTM toolset, and a back-end staff that customizes the reporting and analytics. With the cloud-based PerfonicsTM toolset, the SME can be local or remote.

Moreover, PerfonicsTM can be installed on-site in a variety of sizes of locations.

The “bottom-up” methodology used by PerfonicsTM tool involves first discovering all of the storage and then re-mapping the data to computation and applications.

It makes use of information from numerous multi-vendor storage, compute, and SAN management solutions. Without the need for credentials, the raw data can either be collected by PerfonicsTM or pushed by the client.

An in-depth understanding of storage and compute currencies is provided via end-to-end reporting.

Application Performance Profiling

Perfonics Application performance profiling is a process of analyzing and measuring an application’s behavior and resource usage to identify bottlenecks and areas for optimization. Perfonics Profiling can provide insights into various aspects of an application’s performance, including its use of CPU, memory, I/O, and network resources.
Here are some common techniques we use for profiling different aspects of an application’s performance:

1. CPU Profiling:
CPU profiling is the process of identifying where an application is spending its time on the CPU. Profilers such as Intel VTune or Linux perf can be used to measure CPU usage and identify hotspots in code. This helps developers optimize CPU-bound sections of the code by either parallelizing or optimizing the code.

2. Memory Profiling:
Memory profiling is the process of analyzing how an application uses memory. Profilers such as Valgrind or Java Memory Profiler can be used to identify memory leaks, heap allocations, and other memory-related issues that can affect application performance. This helps developers optimize the memory usage of their application and avoid performance issues due to memory leaks or excessive memory usage.

3. I/O Profiling:
I/O profiling is the process of analyzing how an application uses input/output (I/O) resources such as disks or network interfaces. Profilers such as DTrace or strace can be used to measure I/O operations and identify bottlenecks in the application’s use of I/O resources. This helps developers optimize I/O-bound sections of the code by either reducing the number of I/O operations or optimizing I/O operations for better performance.

4. Network Profiling:
Network profiling is the process of analyzing how an application uses network resources. Profilers such as Wireshark or tcpdump can be used to capture network traffic and analyze the application’s use of network resources. This helps developers optimize network-bound sections of the code by reducing the amount of network traffic or optimizing network protocols for better performance.

In summary, Perfonics profiling an application’s performance can provide insights into different aspects of its behavior and resource usage, such as CPU, memory, I/O, and network. This information can be used to optimize an application’s performance by identifying bottlenecks and areas for improvement.

Migration and Consolidation Planning & Modeling

Consolidation Modeling:

Perfonics Consolidation modeling in a Storage Area Network (SAN) involves analyzing the current SAN infrastructure to determine how to optimize and consolidate it. The goal is to reduce costs, simplify management, and improve performance.

This process typically includes the following steps:

Identify current SAN assets: The first step is to identify all the storage devices and resources that are currently in use in the SAN. This includes servers, storage arrays, switches, and other networking devices.
Assess utilization levels: Once all assets have been identified, the next step is to assess their utilization levels. This involves analyzing how much of each device’s capacity is being used, and by which applications or users.
Identify areas for consolidation: Based on the utilization levels, the next step is to identify areas where consolidation can be achieved. This may involve identifying underutilized storage devices or those that are being used inefficiently.
Determine resource requirements: Once the areas for consolidation have been identified, the next step is to determine the resource requirements of the applications that will be consolidated. This includes identifying the storage capacity, performance requirements, and connectivity needs of each application.
Design the consolidation solution: Based on the above analysis, a consolidation solution can be designed. This may involve reallocating resources to more critical applications, deploying new storage devices, or reconfiguring the SAN infrastructure.
Test and implement: Before implementing the consolidation solution, it’s important to thoroughly test it to ensure that it meets performance requirements and doesn’t negatively impact any applications. Once testing is complete, the solution can be implemented, and the SAN can be reconfigured accordingly.

Overall, consolidation modeling is an essential process for optimizing SAN performance and reducing costs. By identifying underutilized resources and reallocating them to more critical applications, organizations can improve storage utilization and streamline management.

Migration Planning

Perfonics provides effective migration planning involving identifying the goals of the migration, assessing the risks and challenges associated with it, developing a detailed project plan, allocating resources, establishing timelines, and communicating the migration plan to all stakeholders.

Some key considerations during migration planning include:

Assessing the current state of the system(s) being migrated.
Identifying the required changes to the system(s) and defining the future state.
Identifying and prioritizing the data, applications, and infrastructure to be migrated.
Assessing the compatibility of the target environment with the migrated resources.
Creating a detailed project plan, including timelines, budgets, and risk management strategies.
Communicating the migration plan to all stakeholders, including users, customers, and IT personnel.
Testing the migration process and conducting dry runs before the actual migration.
Developing a rollback plan in case of unforeseen issues during migration.
Establishing a post-migration support plan to address any issues that arise.

By carefully planning and managing the migration process, organizations can minimize disruptions to their operations, reduce risks, and achieve a successful migration to the target environment.

Application Backup Analytics

To ensure the health and availability of your backup and restore infrastructure, there are several reports and audits, Perfonics does for you. :

Regularly test your backups: It’s essential to test your backups regularly to ensure they can be restored when needed. Testing should include verifying the backup data’s integrity, verifying that the backup data can be read and restored, and testing the restore process.
Monitor your infrastructure: Use monitoring tools to keep an eye on your backup and restore infrastructure’s performance and health. This includes monitoring the hardware, network, and storage systems.
Implement redundancy: Implementing redundancy in your backup and restore infrastructure can help ensure that your data is always available. This includes using redundant storage systems, backup servers, and network connections.
Implement security measures: Protect your backup and restore infrastructure with security measures such as firewalls, access controls, and encryption. It’s also essential to keep your backup and restore software up to date with the latest security patches.
Regularly review and update your backup and restore policies: Review your backup and restore policies regularly to ensure they remain relevant and effective. This includes reviewing backup retention periods, data protection policies, and disaster recovery plans.

By implementing these steps, you can help ensure the health and availability of your backup and restore infrastructure, reducing the risk of data loss and downtime.

Pre-vs-Post Migration Analytics

In a Storage Area Network (SAN), the migration of data from one storage system to another can have significant impacts on the performance and functionality of the storage environment. Pre and post-migration comparisons are useful in assessing the effectiveness of the migration and identifying areas for optimization.

Here are some key factors to consider when comparing pre and post-migration performance in a SAN:

Data Transfer Speed: One of the most important factors to consider is the speed of data transfer during the migration. A successful migration should result in minimal downtime and minimal impact on application performance.
Data Integrity: The migration process should ensure that the data is accurately transferred to the new storage system without any data loss or corruption.
Storage Capacity: The new storage system should have enough capacity to accommodate the migrated data and provide room for future growth.
Storage Performance: The performance of the new storage system should be at least as good as, if not better than, the old system. This includes factors such as read and write speeds, latency, and I/O operations per second (IOPS).
User Experience: The migration should be seamless for end-users, with no disruptions to access or use of data.

Overall, pre and post-migration comparisons in a SAN should focus on ensuring that the migration is efficient, effective, and seamless for all stakeholders involved.

Perfonics Capacity Planning as a Service

Perfonics Capacity planning is the process of determining the resources needed to meet the demand for a particular product or service. Capacity planning involves analyzing current and future demand, identifying capacity constraints, and developing plans to address those constraints.

Perfonics Capacity Planning as a Service (CPaaS) is a cloud-based service that provides businesses with the ability to manage their capacity planning needs on-demand. CPaaS allows businesses to access capacity planning expertise and tools without having to invest in expensive hardware or software.

The main benefits of CPaaS include:

Scalability: CPaaS allows businesses to quickly scale their capacity planning needs up or down based on changes in demand.
Cost-effectiveness: CPaaS eliminates the need for businesses to invest in expensive hardware or software to manage their capacity planning needs.
Expertise: CPaaS provides businesses with access to capacity planning experts who can help them develop effective capacity planning strategies.
Flexibility: CPaaS allows businesses to customize their capacity planning solutions to meet their specific needs.

CPaaS providers typically offer a range of services, including demand forecasting, capacity modeling, resource optimization, and scenario planning. Businesses can choose the services that best meet their needs and pay only for the services they use.

In summary, CPaaS provides businesses with a cost-effective and flexible way to manage their capacity planning needs. By outsourcing their capacity planning to a trusted provider, businesses can focus on their core operations and achieve greater efficiency and profitability.

Storage Assessment

A storage bottleneck occurs when the storage system in a computer or network becomes overloaded, resulting in reduced performance or even system crashes. A bottleneck can occur in any part of the storage system, including the hard drive, memory, network, or even the software that manages the storage.

Perfonics Storage bottleneck analysis involves identifying the cause of the bottleneck and developing a plan to resolve the issue. Here are some steps to follow when conducting a storage bottleneck analysis:

Identify the symptoms: Symptoms of a storage bottleneck can include slow performance, long wait times, system crashes, and error messages.
Collect data: Collect data on the storage system, including storage capacity, usage patterns, and performance metrics.
Analyze the data: Analyze the data to identify patterns and anomalies that may be causing the bottleneck. Look for areas of high usage or low performance.
Identify the cause: Once you have identified the areas of concern, determine the root cause of the bottleneck. This could be caused by a hardware issue, a configuration problem, or a software issue.
Develop a plan: Develop a plan to address the bottleneck. This may involve upgrading hardware, optimizing software, or changing storage configurations.
Implement the plan: Implement the plan and monitor the system to ensure that the bottleneck has been resolved.
Test the system: Test the system to ensure that the performance has improved and that the bottleneck has been eliminated.

In summary, storage bottleneck analysis involves identifying the symptoms, collecting and analyzing data, identifying the cause, developing a plan, implementing the plan, and testing the system. By following these steps, you can resolve storage bottlenecks and improve the performance of your storage system.

Production Infrastructure vs DR Infrastructure

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Application Recovery Guides (ARG), Technology Recovery Guides, RunBook Creation