Network Operations Center (NOC) for robust event detection and workflow management

By Dhileep Kumar KR, Associate Manager.

Network Operations Centers (NOC) continuously monitor the alerts qualified to be incidents, classify and prioritize them and communicate to the concerned support team and track them until it is resolved. They play a pivotal role in performing functions like troubleshooting, coordinating with IT/ Non-IT support functions, follow up with service providers. The network operation centers are divided into multiple tiers in order to escalate problems in a hierarchic manner and resolve them within the stipulated time. The network operation centers are designed to monitor network, systems, applications, WAN links, Utility and telecommunication related problem and informs the concerned support team about the incidents that require special attention in order to avoid impact on infrastructure performance.

Advantages of Network Operation Center:

  • Reliable source of support: NOCs are designed with the expertise to help allocate resources more effectively and cut costs without affecting infrastructure stability by creating a revenue-based service model. NOC services act as business continuity partner for secure, dependable monitoring after traditional business hours.
  • Customizable Services: NOC service packages help enterprises to customize their support requirements and opt for the surveillance, conditional notification and monitoring system that it requires. The NOC can be designed taking into cognizance the expected traffic from previous data and accordingly can set benchmarks for immediate and timely identification, isolation and diagnoses of system to minimize business interruptions.
  • Extended service level agreements: Enterprises have the option to allow their NOC service providers to contact their vendors and customers directly as per SLA to request action when there is interruption and provides them continuous updates on the status.
  • Enhanced quality control: NOC service providers operate from centralized and collaborative setups which makes it easier for the management to ensure right access to information and tools required to fulfill quality support.
  • Increases customer trust: Further it helps to build accountability and trust among customers as all the internal and external tools and solutions are stitched and managed together and avoids compliance issues.

GAVS’ NOC platforms are centrally located where IT personnel can directly support the efforts of remote infrastructure monitoring. Further, the platform helps to gain insight into different aspects of business and control IT infrastructure by using cloud based predictive analytics tools, automating mundane tasks. GAVS NOC’s Zero Incident Framework (ZIF) provides a pathway to achieve higher performance and business goals.

Maximizing Enterprise Performance with Robust Cloud based Disaster Recovery Solutions

Disaster recovery (DR) solutions are critical to safeguard business applications and to protect important data. Cloud based DR is becoming an important enterprise strategy with the popularization of automation, scaling & Customization which has led to increase in application up-times and the appropriate hardware required for the same. Further, DR provides an enterprise with real-time scalability to fully a managed infrastructure service which can handle partial or full level of workloads and cover all the required regulatory norms.

Key elements to underpin a successful disaster recovery strategy:

  • Recovers faster in case of disaster: In a cloud-based DR setup, the entire applications are hosted in virtual machines. Further in case of any disaster, the virtual server copies the data and is backed to an offsite data center in matter of minutes. It acts as a lifeline to customer facing enterprises where any operational breakdowns lead to closing the doors forever.
  • Recovery made affordable: With a cloud based DR, enterprises do not have to invest in internal infrastructure to mention loads of data which takes days to access during emergency. Cloud based services provide enterprises options to pay for only the storage space they use, paving the way for a low cost infrastructure setup bundled with a robust disaster recovery backup.
  • Supports multiple locations: Cloud-based DR can support remote office locations without incurring any additional cost. It can extend the ongoing disaster recovery plan to multiple locations with no additional support staff or training expenses.
  • Enables workflow replication: Cloud based DR helps to control and plan migrations to recover data in real-time when a disaster occurs. It helps to design customized recovery objectives to achieve a fine-tuned control, based on business application priorities.
  • Testing system for different scenarios: Cloud based DR allows enterprises to run test cases to help deal with various scenarios. It provides live user cases which helps enterprises to prepare during emergency. Further, it also helps enterprises to establish trust with clients by showing them the test cases and their preparedness to handle the respective situations.
  • Fits in multiple compliances: Cloud based DR uses infrastructure which meet multiple compliance, regulations, and industry standards. Further enterprises can often leverage technical and security controls built by DR provider as they are usually time tested.

GAVS’ expert DR team helps enterprises to reduce system downtime and set low recovery point objectives within prescribed budget. GAVS leverages Microsoft’s Azure Site Recovery DRaaS solution that helps to optimize business performance and enable agility. Further its expertise in implementing Azure site recovery model helps enterprises to use the right infrastructure model.

6 Benefits of Adopting Intelligent Cloud Data Services

Enterprises across sectors want to transform their cloud infrastructure to get more from what they are getting now. They require an agile cloud system which can provide insights covering the larger business prescriptive using artificial intelligence and machine learning techniques. Enterprises are looking for a cloud platform that can completely manage nano servers as well as host larger platform.

Benefits of Adopting Intelligent Cloud Data Services

  • Streamlines business processes: Intelligent cloud platform connects and records data from different departments enabling a workflows of best practices across the enterprise. Further enterprises use the data to reduce the cash cycle time and speed up the time required to respond to market conditions.
  • Aligns data from multiple applications: Intelligent Cloud platform combines and automates multiple applications dealing with customer behavior patterns, sales compensation, rebates and promotions. It aligns data from different applications and helps create a centralized promotional program which enables sales channels to easily up sell their services.
  • Unified data model: Intelligent cloud creates a single data model making information easily available to all the departments in real-time.This results in all departments being well-informed and gain access to critical customer information that helps to optimize purchase experience.
  • Conversational interface: Intelligent cloud platform provides enterprises access to artificial intelligence tools which help to enhance interaction and extract multiple data from third-party sources. Further the AI tools provide valuable insights that enhance customer buying patterns using data from social media platforms like Facebook, twitter etc.
  • Optimize online revenue: Intelligent cloud platform covers a wide spectrum of enterprise channels including partner sales, service delivered and self-serve websites. It enables an omni-channel customer transaction process helping enterprises optimize online revenue and provide a consistent customer buyer experience.
  • Easily integrates with existing systems: Intelligent cloud platforms easily integrate with enterprise’s existing CRM & ERP systems. It enables to retain existing application and infrastructure vendors that best suit the needs of the companies.

GAVS’ data services allow customers to gain insights by combination information from human and machines. Its intelligent cloud is predominantly build on Azure Public Cloud and helps bring high value on ROI. Further it provides backend intelligence to all the new generation applications keeping in mind the mobile first philosophy taking the User Experience to the next level.

Artificial Intelligence in IT Operations Management – Boosting Enterprise-wide Performance

IT operations analytics scan all the data that has been gathered using different tools and provides resolutions to problems and does root-cause analysis.

But modern machine learning & Deep Learning methods can learn the IT landscape’s behavior and raise proactive alarms when anomalies are deducted. It allows the system to follow, learn and unlearn patterns and can further use resources to avoid application downtime, performance degradations, and capacity bottlenecks.

Artificial Intelligence with IT operations Management

The modern digital systems are largely dependent on multiple sources of technology services. They use a combination of on premise, private, public data centers and cloud resources. IT operations management leverages artificial intelligence to:

  • Provide proactive performance anomalies to stabilize availability of digital services
  • Optimize cost by aligning risk decisions with business needs
  • Provide timely inputs to efficiently manage technologies that drives business
  • Reduce MTTR problems reported by recommending resolutions for the problem

Enrich Enterprise Performance

  • Reactive to Proactive
    Proactively detects different patterns from the environment that helps in improving system efficiency and avoids outages.
  • Dynamic IT infrastructure planning
    In the age of digitalization, the capacity to have flexible and dynamic IT infrastructure is mandatory. Power to foresee & dynamically provision futuristic infrastructure requirement is the biggest boon from artificial intelligence in IT operations.
  • Transform service delivery
    It is critical for Enterprises to maintain reliability and performance of their customer systems as they grow and expand their business. Machine learning capability helps in learning the needs and recommends technology upgrades required in the landscape.
  • Enable BYOD integration
    With BYOD concept being used extensively, the challenge to manage data security is intense. With the help of artificial intelligence, log data from multiple applications, machines, sensors, web sites and mobile devices are processed in real time and breaches are notified to stakeholders.
  • Systematic transaction management
    IT operations follow an application centric infrastructure monitoring model, displaying all applications in a single view. Artificial intelligence helps in recording end-user patterns in real-time, to provide clear visibility into end users behavioral patterns.
  • Resolve problems automatically
    Machine learning techniques are used to understand the root cause for an event and expedites resolution time by using log analytics based on the context of the event. Automated workflows help in automatically resolving high-impact issues.

There is a constant need for enterprises to revive their business models which allows them to adjust their processes to handle multiple situations. Artificial intelligence in IT operations management should play a role to enrich enterprises to make their IT infrastructure highly available, scalable and be prepared for the future demands.

Debunking Blockchain Myths

The recent price gain of Bitcoin, Ethereum, and other cryptocurrencies are bringing a lot of attention back to blockchain technology. A Blockchain is decentralized, so there is no single authority that can approve the transactions or set specific rules for the transactions to be valid. This implies that there is a huge amount of trust involved since all the participants in the network have to reach on a consensus to accept transactions.

Most importantly, it’s secure. The database or shared transaction ledger can only be extended and the earlier records cannot be changed.

When someone wants to add a transaction to the chain, all the participants in the network will validate it. They do this by applying an algorithm to the transaction to verify its validity. What constitutes a valid transaction is defined by the Blockchain system and can differ between systems. Only a majority consensus will term the transaction as valid.

A set of approved transactions is then pushed in a block, which gets distributed to all the nodes in the network. They, in turn, validate the new block. Each successive block is identified by a hash, which is a unique fingerprint, of the previous block.

Blockchain ensures that data has not been tampered with, offering a layer of timestamping that removes multiple levels of human checking and makes transactions immutable.

Blockchain technology certainly has many positive aspects, but there are also many misunderstanding and confusion regarding its nature.

# Blockchain records are protected from hackers and can’t be altered

Blockchain’s brand market positioning is around its intrinsic permanent and transparent quality. This creates an illusion that blockchains are invulnerable to outside attacks. No system or database will ever be completely immune, but the larger and more distributed the network, the more secure it is believed to be. What blockchains can provide to applications that are developed on top of them is a way of catching unauthorized changes to records.

# Blockchain are free

Blockchain technology is costly and needs high maintenance. It involves multiple computers solving mathematical algorithms to agree on a final immutable result, which becomes the so called single version of truth (SVT). Each ‘block’ in the Blockchain typically uses a large amount of computing power to solve. And someone needs to pay for all this computer power that supports the Blockchain service.

# Bitcoin transactions are untraceable, anonymous, and absolute

It is not completely anonymous. It’s still possible to identify someone’s real identity by tracking bitcoin transactions. All Bitcoin transactions are recorded publicly on the blockchain and it is possible that authorities could uncover the person’s identity through a subpoena. Hence, it is easy to say that Bitcoin transactions are pseudonymous.

In theory an attacker can create data fork (an alternate chain) that would allow double spending. This will not succeed unless the attacker has vast hashing power at their disposal. So, transactions are probabilistic and not absolute.

# The blockchain is effective and scalable. Conventional money will soon disappear

If every network node in the blockchain processes at the same bandwidth, then the bandwidth of the entire network would be that of a single node. The Bitcoin network can process a maximum of seven transactions per second, for the millions of users worldwide. Plus, each bitcoin transaction is recorded once every 10 minutes. Now, imagine the amount of time required considering the number of transactions worldwide.

The fact that bitcoin usage is less and the increased transaction-processing speed is disproving the scalability factor. If conventional money disappears, it won’t be because of bitcoin.

# The blockchain can be used for anything and everything

Bitcoin and blockchain developers are highly skilled professionals. Though the code is powerful, it’s limited to the number of cryptocurrency transactions in the chain itself, and cryptocurrency is still far from being accepted worldwide. For many, the blockchain is an authority tied to mathematics, and not the government or lawyers. This limits its application for every day transactions. In the mind of some developers the blockchain and smart contracts will one day replace money, lawyers, and other arbitration bodies, but that is still a long way in the future.

# The blockchain is deciding factor for a global economy

The basic premise of blockchain is its transparency and complete lack of ownership by any single nation, entity or corporate. This enables the growth and support for emerging, trusted and encrypted cryptocurrencies. But the reality is that the economy is still not ready for a cryptocurrencies market. If cryptocurrency takes off, and records are generated larger, then this may change in the future.

# The blockchain is decentralized

Mining the blockchain require huge computational resources. The chain itself lock the nodes—sectors of activity—at 1 MB, and nodes are generated approximately every 10 minutes. This implies that while more transactions help the chain become more diverse, and as the blockchain grows it needs more computing power to aggregate data from nodes. The greater the need for resources, fewer are the participants.

# The blockchain and Bitcoin are distinct and separate

Due to Bitcoin’s association with the Dark Web and other unscrupulous actors, the currency’s brand image lost some of its credibility. As a result, innovative startups like Ethereum and Early Temple moved away from Bitcoin and moved on to blockchain technology. While private blockchains do exist, the value of the blockchain comes from records generated by Bitcoin transactions. This means that the two technologies, even though distinct, are linked.

 # The blockchain ledger is locked and irrevocable

Analogous large-scale transaction databases like bank records are by their nature, private and tied to specific financial institutions. The power of blockchain is that the code is public, transactions are verifiable, and the network is cryptographically secure. Fraudulent transactions or double spends are rejected by the network, preventing fraud.

Blockchain mining provides financial incentive in the form of Bitcoin, which can be exchanged for real money. This incentive usually deters the participants from rewriting historic transactions. However, as computational resources improve with time, so too does the potential for deception. The impact of future processing power on the integrity of the contemporary blockchain remains ambiguous.