Cloud, what! really?

Cloud != (just) AWS

Cloud = IaaS and/or PaaS and/or SaaS

Foot note: Indeed the largest slice of the Cloud pie is ‘SaaS’. The players with serious SaaS story, play, ecosystem of partners and growing customer base are here to stay. What we have seen with cloudified workloads to date, is just about quarter of all real meat that is still hiding behind data centers. The best days are still ahead for SaaS players who are currently in hot pursuit of those blazing jets with a heavy tailwind.

Keep cloudifying!



Edge or 5G? Chicken or Egg?

We all know what ‘Edge’ by now.

Edge is a pure ‘de-centralizaion’ approach where central computing power is to be distributed in form of small form factor computing elements at the far edge of the cloud.

Edge requires an ultra small foot print to stay closer to the last mile humans, devices and more importantly instant data processing and decisions.

Intelligent edge devices are already floating around the Globe. Edge is already real.

There comes 5G, a natural evolution of current 4G towards the next iteration. To be a gold standard for mobile computing in a very near term (AT&T and other players in Europe already started the revolution with their networks).

What do they mean to each other? How they relate and correlate? Who needs who?

Edge computing co-locates computing, storage, and networking functions closer to where the data originates. This reduces the amount of data being sent back and forth between devices and the cloud, saving time and power, conserving bandwidth, and reducing latency.

Edge computing resources can be located on the operator or the user side of the last mile network. The infrastructure edge refers to the operator-side, and the device edge refers to operations on the user side.

Edge computing provides a means to process, filter, and even protect data locally, which in turn will play a key role in enhancing the value of 5G networks. The enhanced value of the edge computing/5G combination includes reduced costs of cloud storage and processing, the ability to run more applications at the edge, and the ability to remotely control and manage edge assets.

Additionally, there is a cybersecurity benefit for the edge by reducing the data and therefore the threat canvas of data over any network. This increased security will prove essential for companies where data is critical to operational success or highly regulated.

5G and edge computing are symbiotic technologies. By increasing the efficiency and security of data analysis, 5G networking capabilities will drive edge adoption. As intelligent data becomes more paramount in the digital economy, businesses using edge computing will realize the benefits of 5G networks.

Indeed Edge would pave the way for wider reach for 5G and in return 5G would setup the right backbone for Edge devices and data to excel and exceed the throughput threshold.

They just do co-exist!

All things Kubernetes – An 101

Industry and Techies have seen enough ‘How-To’s, WP’s and Marketing slideware’ on Kubernetes.

Indeed Kubernetes invasion is real and matter of fact it’s on the verge of beating OpenStack in it’s own league of hype cycle.

Industry and markets duly accepted K8S as a de-facto containers orchestration mechanism and tool.

Here’s an unique set of knowledge base put together by ‘Aquasec’, which would enable us all with the right set of foundational and expert information on ‘All Things Kubernetes’!!

A huge shout out to them !!

Courtesy: Aquasec container security




What’s cooking @ AWS NYC summit

Here’s a line up of offerings (+enhancements)

Courtesy: Jeff Bar

What really caught or should catch my attention ~

“Amazon Macie” ->

In 10000 ft view, Macie would enable you/us with ‘Deep insights within your Data’ but we are not talking about BI here. It’s all about continuous monitoring of your Data (laundry list of actions – Sorting, tagging, grouping, pattern matching, anomaly detecting, integrity trackers), sounds intriguing!

Forget not NLP and ML duly take their seats in this very offering

Quick def:

Macie can automatically discover and classify your data stored in Amazon S3. But Macie doesn’t stop there, once your data has been classified by Macie, it assigns each data item a business value, and then continuously monitors the data in order to detect any suspicious activity based upon access patterns


FOG’gy to say CLOUD to be EDGE’d

Technology wave is nothing but a continuous cycle. We have been through sequential technology cycles where we tend to ‘time capsule’ into future which derived from the past

Mainframes > Open Systems > Virtualization (Hypervisor) > Bare Metal (containers)

When we started the computing in old ages we got into model of ‘start small’ ‘keep all local’ and in a very ‘decentralized’ way. During pre/post .COM era we did tend to trust the CoLo providers. We opened up to Centralization of computing. Data kept being built and managed at CoLo’s. Then Cloud born which is an authentic ‘Centralization’ way of computing.

All the ramblings around the ‘EDGE’ would eat the Cloud in tech circles set me up a curious platform to write this piece

What in the world the EDGE is?

edge computing is a method of accelerating and improving the performance of cloud computing for mobile/end users. Computational and Data processing stack would be running on users’ very end devices and Cloud would be purely consumed for fail safe/recovery/long term storage needs

This one resonates the anti-Cloud vibe, Isn’t? Meaning Decentralization Era again?

Big YES! We would get decentralized yet again. Remember the cycles we touched early in this page!

So why do people think edge computing will blow away the cloud? This claim is made in many online articles. Clint Boulton, for example, writes about it in his Asia Cloud Forum article, ‘Edge Computing Will Blow Away The Cloud’, in March this year. He cites venture capitalist Andrew Levine, a general partner at Andreessen Horowitz, who believes that more computational and data processing resources will move towards “edge devices” – such as driverless cars and drones – which make up at least part of the Internet of Things. Levine prophesies that this will mean the end of the cloud as data processing will move back towards the edge of the network.

In other words, the trend has been up to now to centralise computing within the data centre, while in the past it was often decentralised or localised nearer to the point of use. Levine sees driverless cars as being a data centre; they have more than 200 CPUs working to enable them to operate without going off the road and causing an accident. The nature of autonomous vehicles means that their computing capabilities must be self-contained, and to ensure safety they minimise any reliance they might otherwise have on the cloud. Yet they don’t dispense with it.

The two approaches may in fact end up complementing each other. Part of the argument for bringing data computation back to the edge falls down to increasing data volumes, which lead to ever more frustratingly slow networks. Latency is the culprit. Data is becoming ever larger. So there is going to be more data per transaction, more video and sensor data. Virtual and augmented reality are going to play an increasing part in its growth too. With this growth, latency will become more challenging than it was previously. Furthermore, while it might make sense to put data close to a device such as an autonomous vehicle to eliminate latency, a remote way of storing data via the cloud remains critical

For the last several years, enterprises have focused on cloud computing, and have been developing strategies to “move to the cloud” or at least “expand into the cloud.” It’s been a one-way, straight highway. There’s a sharp left turn coming ahead, where we need to expand our thinking beyond centralization and cloud, and toward location and distributed processing for low-latency and real-time processing. Customer experience won’t simply be defined by a web site experience. The cloud will have its role, but the edge is coming, and it’s going to be big

I’m reminded of an unattributed quote that seems to apply every time a new idea pops up in the world of technology:

“Look back to where you have been, for a clue to where you are going.”