It is a proactive strategy and procedure designed to ensure critical company operations continue or can be quickly restored in the event of infrastructure disruptions, cyberattacks, or natural disasters. The primary focus is minimizing downtime and protecting critical data. This approach includes implementing layered systems to ensure the resilience and continuity of your digital operations.
An IT Risk Assessment is a systematic process for identifying, analyzing, and evaluating potential threats or vulnerabilities to a company's information technology systems. Our assessment will naturally consider the business risks of loss or disruption caused by these threats. This assessment measures the extent of financial, reputational, or operational losses if the risks actually occur.
The purpose of this service is to identify vulnerabilities in systems and infrastructure (Problem Prevention), ensure operational continuity by minimizing the risk of downtime or data loss (Business Continuity), help companies prioritize security spending on only the most at-risk assets, and determine the appropriate implementation of High Availability technology (Budget Efficiency).
DRP is designed to quickly return the company's operations to normal and minimize losses. The planning process outputs a structured document containing procedures and step-by-step guides that align with the company's IT systems for responding to, recovering, and reactivating critical systems and data disrupted by a disaster. This service also includes preparing IT personnel to be proficient in performing recovery actions to avoid mistakes that could exacerbate the damage..
CJT provides consulting and implementation services to improve the availability of information technology services by implementing fault tolerance features on servers, computer networks and databases. And we also provide the best solutions for improving network, server and application performance.
With various Active Directory project experiences in large and well-known companies, we will provide the best solution for the smooth implementation or migration of Active Directory in your company. In providing recommendations, our consultants consider aspects of security, high availability and performance. Process effectiveness and disruption to operations are the main considerations. DNS site-awareness is a feature that can be used to distribute the load of Active Directory services and other IT services such as authentication, Distributed Files System and Exchange Server
For businesses that demand consistent operational performance, High Availability (HA) virtualization can be a valuable approach. It involves designing systems that are always accessible and resilient to failures, and recover quickly to minimize downtime.
In a virtualization setting, HA means automatically moving virtual machines (VMs) or services to a standby system in the event of a problem, providing continued platform stability and data integrity for a smooth user experience. In today’s business environment, where disruptions can have significant consequences, this is critical.
Windows Server Failover Clustering provides infrastructure features that support the high-availability and disaster recovery scenarios of hosted server applications such as Microsoft SQL Server and Microsoft Exchange Server. If a cluster node or service fails, the services that were hosted on that node can be automatically or manually transferred to another available node in a process known as failover.
It may seem at first glance that the file server does not have an important role in the company's operations. However, if you analyze more closely, the file server is a SPoF (Single Point of Failure) where the file server usually stores all company and employee document data centrally. If there is a disruption to this server, it will certainly cause problems in the company's operations which will reduce productivity. CJT offers a Distributed File System solution to increase document high availability and file server load balancing.
High availability refers to a database’s ability to remain operational and accessible to users without significant downtime or interruptions. To achieve high availability, a database system must be designed with redundancy and failover mechanisms and have no single points of failure.
Several high availability database projects have been successfully completed by CJT. For IT services that still allow tolerance for downtime, database replication solutions are appropriate to implement. However, if high service availability is required, then SQL Server Always On availability groups, SQL Server failover cluster instances or database mirroring solutions are certainly recommended.
Many applications play an important role in company operations. Disruptions to applications will certainly disrupt productivity. Therefore, the availability and performance of applications are not beyond our attention. By implementing Windows Server Failover Clustering or Network Load Balancing on application servers, it will be able to increase the availability and performance of applications.
Server maintenance is a series of routine care and maintenance actions on servers with the aim of ensuring the server operates normally, maintaining optimal performance, preventing data corruption, and extending the life of the device..
With regular maintenance, unplanned downtime can be reduced, thus preventing major repair costs due to total damage and costs due to operational disruption.
Preventive maintenance is a planned, periodic maintenance activity performed to prevent unexpected breakdowns, extend equipment life, and ensure efficient operation. This proactive strategy replaces the reactive approach of repairing after a breakdown occurs..
In general, the actions taken include:
Predictive maintenance is a maintenance strategy that uses real-time data monitoring and intelligence-based analysis to predict when a machine will fail. Maintenance is performed only when it's truly needed, resulting in greater efficiency.
This strategy utilizes several technologies to evaluate machine condition, including sensor data, data analysis, and machine learning, to predict when failures will occur.