DataTap Solutions

Category Archives:SDN

Cognitive Analytics

If your IT environment is like 90% of the other complex environments out there, chances are that you are dealing with lots of data (structured & unstructured) and limited resources (Tools & Personnel). Powerful technologies exist and are being improved that automate analytics and decision making. Among the technologies driving IT automation are machine learning, neural networks, deep learning, natural language processes, and more. These technologies have statistical roots and are mainly constructed around analytics.

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Cognitive Analytics add a flavor of automation in the form of processing adhoc data streamed from multiple sources. These Analytics have the power to characterize any type of information embedded in the data and put them to use in real-time. Some of the examples include, automatic issue remediation by conducting pro-active diagnostics, adaptive communication frameworks such as BOTS, etc…

 

DataTap’s solution is capable of collecting data from multiple data sources, learn and characterize the entities, correlate and isolate anomalies, prescript the insights into various processes and measure the effectiveness of the prescriptions. This level of automation enables your IT teams to handle the onslaught of data volumes and keep the costs low.

 

Please visit other DataTap blogs that explain how each of these solutions work. If you need more information on our products and services, please contact us at contactus@datatapsolutions.com.

NFV, Cloud IMS – Assurance Strategy

As your network architecture evolves and migrates into a public or/and private cloud environment, voice network requires more TLC. Unlike other IP applications, VoIP/IMS applications require consistent timing for flaw-less operation. With the uncertain compute characteristics that cloud brings-in, your vIMS service assurance becomes a priority.

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CHALLENGE
Adoption of cloud based call control services is very cost effective. However services like Cloud IMS, lead to service quality and reliability issues as a result of the following:
  • Cloud resource sharing
  • Unpredictable bandwidth availability
  • Coexistence of applications
IMPACT 
vIMS is seen as the first level of Virtualized Network Function (VNF). Failure to deploy vIMS correctly poses a risk to NFV adoption, effecting future marketing and sales initiatives.
DESIRED SOLUTION
DataTap’s capture & aggregation capabilities in all major cloud providers help you with faster resolution times during deployment or service initiation. Continuous monitoring of network, log and event information provides valuable insights and robust service assurance:
  • Cloud and On-Prem support
  • VoIP Quality analysis
  • Application Detection & Correlation

DataCenter Operators: Key Concerns and Top Priorities

Recent survey of Datacenter operations managers revealed that Security and System Performance are the top two challenges in the fast growing data traffic environment.

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Understanding datacenter operations goes long ways into addressing these challenges. Check out our products and services designed for Datacenter operations. Our solutions give a single pane of glass to address multiple challenges like security, operations analytics, SLAs along with basic monitoring capabilities like application performance management, traffic patterns, SLAs, etc…

 

Troubleshoot Call Quality Issues in IMS / VoIP

If you are troubleshooting call quality issues, you must agree that the time is of essence. You need tools that give you more than a bar graph or a pie chart. You need a solution that tells you a story. A story that lays out the critical data points collected from multiple sources over a period of time, defining the context for you.

voip-2-story

CHALLENGE
Dropped calls, choppy calls, loss of dial tone and voice delay are the typical problems your customers experience as a result of your network issues. Following are some typical contributing factors:
  • Jitter, Packet Loss and Latency
  • Network misconfigurations
  • Issues with Interconnection provider network
IMPACT 
Consistent poor voice quality increases customer churn rate directly impacting the revenues and service reputation. Voice quality issues increase support call volumes forcing service providers to realign resources from other productive tasks.
DESIRED SOLUTION
Granular visibility to critical voice traffic attributes in realtime helps in effective root cause analysis (RCA). Proactive monitoring and troubleshooting of issues reduce the impact of poor voice quality. You need a voice quality measurement solution that includes:
  • Real-time measurement of Media KPIs, such as RTP Jitter, Packet loss
  • Correlation of Voice traffic attributes with other network attributes
  • SIP/RTP Timing Analysis on origination & termination networks

Planning-a-hybrid-cloud

If you are an IT manager planning a hybrid cloud environment, you are concerned about the aspects such as security in a public cloud and cost of a private cloud. Although security is a top concern in public clouds, the automation appeal of a public cloud is still a big plus. Here are some factors to consider as you plan your hybrid infrastructure:
  • Hypervisor: If you are a KVM or Vmware ESX shop in your private cloud/datacenter and trying to add AWS or azure, you need to make sure the application images are compatible and convertible.
  • Security: Encrypting communications with between your public and private cloud infrastructure by creating a VPN tunnels of sort is going to integrate your public cloud smoothly with your datacenter. Solutions such as VNS from Cohesive Networks might be of great help to you here. This should be the top consideration in planning-a-hybrid-cloud.
  • OrchestratorYou need centralized orchestration software such as OpenStack in your private cloud to control both public and private clouds.
  • Management: Hybrid clouds require greater levels of automation management to achieve higher degrees of availability, performance, and security.
  • Visibility & Flow Analytics: Planning-a-hybrid-cloud requires understanding your data for efficient division of labor between private & public clouds. The ability to run applications in a private cloud during peak usage hours and then offload to the public cloud during off-peak hours affords enormous flexibility. This provides maximum use and efficiency of both internal and external resources. You need to know which data needs higher security, which data must be compliant with regulatory requirements and which data you can safely farm out to public clouds. For this purpose, you need to have a network visibility and analytics solutions like ours in place.

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Rocket-vs-Docker

docker-vs-rocket

You must be wondering why Rocket is being introduced so vehemently into the market. Well the makers of Rocket (CoreOS) are also a Docker contributors. The philosophical difference of opinion on what a Container should be is what propelled CoreOs team to introduce Rocket. Here are the advantages of both the solutions at a high level.
Docker:
  • Growing to be more than a Container technology with its Cluster API, that “enables” advanced Orchestration capabilities.
  • Fits into the Telco NFV model by standardizing the packaging and orchestration functions of Containers that are analogous to ‘Virtual Network Functions’
  • Ideal for Hybrid IT environments because of it’s increasing integration capabilities with AWS, etc…
Rocket:
  • Promise to stick with ‘App Container’ specification helps certain organizations that need flexibility and control of managing a container.
  • Preserving the sanctity of Container Security as the demand grows in Container space is certainly a challenging task. I personally think Docker is not an ideal implementation from a security aspect.
  • New entrant on the block attraction index of Rocket is certainly going to help CoreOS bank on the momentum. The zeal to right the wrongs of Docker implementation will benefit the adopters in the areas like Networking, Security, etc…

vns-dtap


 

3 initial steps to adopt Cloud-as-a-service

After long time I read an interesting article on what it takes to adopt a new service. Good folks @ Infonetics conducted a survey on Cloud technologies and the results are surprising. Here is a snippet from their news:
“Cloud providers’ top challenges are non-technical: Meeting customer concerns about loss of control over private data, and helping customers overcome resistance to procedural change or understand how to take advantage of off-premises cloud services,” Grossner said.
I am sure by now you are tired of Something-as-a-Service phenomena. First came IaaS even though people did not take a notice until SaaS came along. Now several vendors are offering Platform-as-a-Service (PaaS). While all this is going on in the public cloud market, enterprises & carrier vendors put their own spin on it with SDN and NFV. Now they all are converging back to a hybrid architecture that demands some serious thought into addressing issues like security, optimization and of course cost structures.
Following are the three initial steps to adopt a Cloud-as-a-Service (CaaS):
  • Align your service infrastructure strategy with long term corporate goals
  • Have a resident Cloud expert that also knows enough about SDN/NFV
  • Last but most important, have a network visibility and analytics solutions like ours in place.

 

Take a look at the top three concerns of your customers when using cloud services.

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You can find the full Infonetics report here.