Server Management

Monitoring & Incident Response

Providing 24/7 automated server/service monitoring system, and SLA covered incident response.

Proactive Security Patching

Following the latest security advisories, monitoring the software stack security fixes, and applying patches as soon as they are released.

System Operations

Complete management of the OS and application stack layers.

Backup Management

Defining and optimizing the backup process, periodical testing of the backup and restore procedures, and full monitoring of the process.

Performance Optimization

Performing detailed stack analysis of the system to detect the current and possible performance bottlenecks and take the suitable corrective actions.

Server Migration

Migrating servers, from a host to another, or to the cloud, after surveying the running services, with minimal to zero downtime.

Server Provisioning

Building customized and optimized servers, either as a fresh installation or using a valid backup, with the ability to create automation scripts for this, if the process is expected to be repeated.

Emergency Incident Response

Assessing emergency situations, providing analysis, and recommending solutions, in order to help clients make informed decisions and support in the implementation process.

Cloud Architecture

Efficient Resource Utilization

Without an extensive cloud expertise, it’s so easy to fall one of the two problems, either using specs higher than your needs, or having a performance less than you expect. Or worse, you can have both problems by getting unbalanced specifications such as high memory but low I/O speed, for example.

High Availability

Redundancy is a must if you need your application to be available even when a server or more is lost mid-action, but implementing the redundancy in every layer of your architecture is tricky. It includes implementing high availability techniques like heartbeats, connection pooling, proxying, and more, while keeping everything manageable and maintainable.

Security and Governance

Security in the cloud can be tricky for various reasons, among which is the ability to manage the security rules for lots of servers. Moreover, the number of servers can be dynamically increased or decreased, storages that get copied and attached, … etc. In such a large and dynamic system, security governance needs to be tightly managed.

Auto Scaling

Instead of provisioning a number of application servers, and either pay for more than what you need or have congestions at your servers,  you can make use of auto scaling, which is one of the most wanted features of the cloud. Defining a pool of servers, with minimum and maximum limits for number of servers, and criteria when to add more servers and when to terminate some of the available ones. This makes your cluster cost efficient and having great performance.

Matching the Workload Type

As load types on the servers differs, the cloud architecture have to differ correspondingly. The typical workload types are:

  • Static load:Things are stable as is.
  • Periodic load: e.g. people don’t use ERP in a weekend, or people book vacations on summer.
  • Once-in-a-lifetime load:which is a one time surge load.
  • Continuously changing load:When the load is changing in a predictable way. e.g. active users are continuously increasing in a linear or exponential rate.
  • Unpredictable load:Where we have to be ready for virtually everything.

Design for Failure

Everything fails, all the time. Assuming a rock-solid cloud infrastructure is simply impractical. This is a paradigm shift in server architecture design, happened at the start of the cloud era. It means instead of making an effort in avoiding failures, you should tolerate them by not considering them as a non-standard operational emergency, but rather a normal event to be handled. This ultimately moves the responsibility for availability from the hardware level – or the cloud provider level – to the software level.

Loose Coupling

To avoid having some of your servers rendered unusable because of one of your servers go down, you need to make them loosely coupled. This means having independent components, each is treated as a black box, communicate with each other over a loose coupling mechanism such as a messaging queues, each component must have no direct knowledge of the surrounding components.

Security Services

Automated Security Assessment

Using the latest open source vulnerability database, a detailed security assessment report is issued, along with our analysis and recommendations.

Security Breach Response

Providing quick attack response, while also assessing the attack impact.

DDoS Mitigation

Analyzing the DDoS attack type and implementation of the appropriate mitigation mechanism. The mechanisms extend to multi-server architecture and are aimed to optimize performance and maximize uptime.

Vulnerability Patching Service

Testing and patching the software stack for known vulnerabilities such as Poodle, Shellshock and others.

Security Hardening

Performing analysis of the current system status and implement policies and configurations needed to secure the system accordingly.

Defending Attacks

Analyzing the attack and implementing the appropriate defense or mitigation mechanism to minimize the impact and restore operations.

DevOps Automation

Server Provisioning Automation

Automating the provisioning process for servers, including building servers on various cloud platforms, and creating identical development, staging, testing and production environments.

Configuration Management

Maintaining and implementing changes in servers configuration, and ensuring that you are provided with complete tracking and documentation of server configuration changes.

Deployment Automation

Automating the deployment process from the Version Control System to the various stages, with the capabilities of rolling back, and sustaining the configuration files.

Custom Solutions

Disaster Recovery Solution

Performing backup, backup verification, automated server provisioning and automated backup restoration to synced servers clone on another geographical location and fail-over plan.

High Availability Solution

Eliminating single point of failure by keeping all services redundant on multiple isolated hardware. The level of isolation between the instances range from a different hardware server in the same data-center to using multiple providers on multiple geographical locations.

E-Commerce/M-Commerce Infrastructure

Hosting and securing commercial applications and their interfaces with payment gateways following the required security standards.

Big Data Infrastructure

Designing and implementing the infrastructure of massively scalable big data applications like hadoop.

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