How Linux can help with your spelling

Linux provides all sorts of tools for data analysis and automation, but it also helps with an issue that we all struggle with from time to time – spelling! Whether you're grappling with the spelling of a single word while you’re writing your weekly report or you want a set of computerized "eyes" to find your typos before you submit a business proposal, maybe it’s time to check out how it can help.look One tool is look. If you know how a word begins, you can ask the look command for provide a list of words that start with those letters. Unless an alternate word source is provided, look uses /usr/share/dict/words to identify the words for you. This file with its hundreds of thousands of words will suffice for most of the English words that we routinely use, but it might not have some of the more obscure words that some of us in the computing field tend to use — such as zettabyte.To read this article in full, please click here

NSX-T Infrastructure Deployment Using Ansible

VMware NSX-T Data Center 2.4 was a major release adding new functionality for virtualized network and security for public, private and hybrid clouds. The release includes a rich set of features including IPv6 support, context-aware firewall, network introspection features, a new intent-based networking user interface and many more.

Along with these features, another important infrastructure change is the ability to deploy highly-available clustered management and control plane.

NSX-T 2.4 Unified Appliance Cluster

What is the Highly-Available Cluster?

The highly-avilable cluster consists of three NSX nodes where each node contains the management plane and control plane services. The three nodes form a cluster to give a highly-available management plane and control plane. It provides application programming interface (API) and graphical user interface (GUI) for clients. It can be accessed from any of the manager or a single VIP associated with the cluster. The VIP can be provided by NSX or can be created using an external Load Balancer. It makes operations easier with less systems to monitor, maintain and upgrade.

Besides a NSX cluster, you will have to create Transport Zones, Host and Edge Transport Nodes to consume NSX-T Data Center.

  • A Transport Zone defines the scope of hosts and virtual machines (VMs) for participation Continue reading

A10 Networks ACOS Critical Insecure Cookie Vulnerability 2 of 2

The following summarizes an HTTP persistence cookie vulnerability that I identified in A10 ACOS ADC software. This was disclosed to A10 Networks in June 2016 and has now been resolved.

A10 Networks Cookie Vulnerability

As noted in a previous post, ACOS uses insecure HTTP/HTTPS persistence cookies which can allow a malicious user to craft a cookie determining the server and port to which a persistent session should be sent. In addition, for vports using the default “port-based” HTTP cookie persistence, it was discovered that when using the default persistence cookie type, ACOS does not perform a check to ensure that the server/port defined in the cookie is within the configured service-group for that VIP.

The only sanity check appears to be to ensure that the server IP read from the cookie has been configured on the A10 within the same partition. If that constraint is met, packets will be forwarded by ACOS to the real server based solely on the value contained in the cookie. This is extremely serious as it allows a malicious user to connect, for example, through a public VIP and access back end servers used by other VIPs, including those only accessible via internal IPs.

SUMMARY OF VULNERABILITY

When using Continue reading

Cisco to buy IoT security, management firm Sentryo

Looking to expand its IoT security and management offerings Cisco plans to acquire Sentryo, a company based in France that offers anomaly detection and real-time threat detection for Industrial Internet of Things (IIoT) networks.Founded in 2014 Sentryo products include ICS CyberVision – an asset inventory, network monitoring and threat intelligence platform – and CyberVision network edge sensors, which analyze network flows. More on IoT:To read this article in full, please click here

Cisco to buy IoT security, management firm Sentryo

Looking to expand its IoT security and management offerings Cisco plans to acquire Sentryo, a company based in France that offers anomaly detection and real-time threat detection for Industrial Internet of Things (IIoT) networks.Founded in 2014 Sentryo products include ICS CyberVision – an asset inventory, network monitoring and threat intelligence platform – and CyberVision network edge sensors, which analyze network flows. More on IoT:To read this article in full, please click here

For enterprise storage, persistent memory is here to stay

It's hard to remember a time when semiconductor vendors haven't promised a fast, cost-effective and reliable persistent memory technology to anxious data center operators. Now, after many years of waiting and disappointment, technology may have finally caught up with the hype to make persistent memory a practical proposition.High-capacity persistent memory, also known as storage class memory (SCM), is fast and directly addressable like dynamic random-access memory (DRAM), yet is able to retain stored data even after its power has been switched off—intentionally or unintentionally. The technology can be used in data centers to replace cheaper, yet far slower traditional persistent storage components, such as hard disk drives (HDD) and solid-state drives (SSD).To read this article in full, please click here

For enterprise storage, persistent memory is here to stay

It's hard to remember a time when semiconductor vendors haven't promised a fast, cost-effective and reliable persistent memory technology to anxious data center operators. Now, after many years of waiting and disappointment, technology may have finally caught up with the hype to make persistent memory a practical proposition.High-capacity persistent memory, also known as storage class memory (SCM), is fast and directly addressable like dynamic random-access memory (DRAM), yet is able to retain stored data even after its power has been switched off—intentionally or unintentionally. The technology can be used in data centers to replace cheaper, yet far slower traditional persistent storage components, such as hard disk drives (HDD) and solid-state drives (SSD).To read this article in full, please click here

Cloud adoption drives the evolution of application delivery controllers

Migrating to a cloud computing model will obviously have an impact on the infrastructure that’s deployed. This shift has already been seen in the areas of servers, storage, and networking, as those technologies have evolved to a “software-defined” model. And it appears that application delivery controllers (ADCs) are on the precipice of a similar shift.In fact, a new ZK Research study about cloud computing adoption and the impact on ADCs found that, when looking at the deployment model, hardware appliances are the most widely deployed — with 55% having fully deployed or are currently testing and only 15% currently researching hardware. (Note: I am an employee of ZK Research.)To read this article in full, please click here

Self-learning sensor chips won’t need networks

Tiny, intelligent microelectronics should be used to perform as much sensor processing as possible on-chip rather than wasting resources by sending often un-needed, duplicated raw data to the cloud or computers. So say scientists behind new, machine-learning networks that aim to embed everything needed for artificial intelligence (AI) onto a processor.“This opens the door for many new applications, starting from real-time evaluation of sensor data,” says Fraunhofer Institute for Microelectronic Circuits and Systems on its website. No delays sending unnecessary data onwards, along with speedy processing, means theoretically there is zero latency.To read this article in full, please click here

Self-learning sensor chips won’t need networks

Tiny, intelligent microelectronics should be used to perform as much sensor processing as possible on-chip rather than wasting resources by sending often un-needed, duplicated raw data to the cloud or computers. So say scientists behind new, machine-learning networks that aim to embed everything needed for artificial intelligence (AI) onto a processor.“This opens the door for many new applications, starting from real-time evaluation of sensor data,” says Fraunhofer Institute for Microelectronic Circuits and Systems on its website. No delays sending unnecessary data onwards, along with speedy processing, means theoretically there is zero latency.To read this article in full, please click here

Ansible + ServiceNow Part 1: Opening and Closing Tickets

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As a Network Engineer, I hated filling out tickets. Anytime a router would reboot or a power outage took place at a remote site, the resulting ticket generation took up about 50% of my day. If there had been a way to automate ticket creation, I would have saved a lot of time. The only thing unique to provide would have been case-specific comment sections needing additional information about the issue.

While ticket creation was a vital activity, automating this was not an option at the time. This is surprising because my management was always asking me to include more information in my tickets. Tickets were often reviewed months later and sometimes never got created or did not have much relevant information included.

Fast forward to today, companies are now data mining from tickets with a standard set of facts that are pulled directly from the device during ticket creation, such as network platform, software version, uptime, etc.  Network operations (NetOps) teams now use massive amounts of ticket data to make budget decisions.

For example, if there were 400 network outages due to power issues, NetOps could then make a case to spend $40,000 on battery backups, having proved Continue reading

Why I’m helping Cloudflare build its partnerships worldwide

Cloudflare has always had an audacious mission: to help build a better Internet. From its inception, the company realized that a mission this big couldn’t be taken on alone. Such an undertaking would require the help of an extraordinary group of partners. Early in the company’s history, Cloudflare built strong relationships with many hosting providers to protect and accelerate internet traffic. And through the years, Cloudflare has continued to build some amazing Enterprise partnerships and strategic alliances.

As we continue to grow and foster our partner ecosystem, we are excited to announce Cloudflare’s next iteration of its Partner Program—to engage and enable an equally audacious set of partners that want to help build a better Internet, together.

I recently joined Cloudflare to run Global Channel Sales & Partnerships after spending over nine years at Google Cloud in various indirect and direct leadership roles. At Google, I witnessed the powerful impact that a strong partner ecosystem could have on solving complex organizational and societal problems. By combining innovative technologies provided by the manufacturer, with deep domain expertise provided by the partner, we delivered valuable industry solutions to our customers. And through this process, we helped our partners build valuable businesses, accelerate Continue reading

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