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cloud computing

Decision Makers Guide: Nomad Vs Kubernetes

Krishnan Subramanian · October 18, 2019 · Leave a Comment

Rishidot Research is launching a new product to called Decision Makers Guide. Rishidot Research’s Decision Makers’ Guides are research briefs made to help decision makers gain quick understanding of a technology or compare two or more technologies. The guides are designed to help modern enterprise decision makers quickly understand the pros and cons of specific technologies or scenarios to plan their strategy. Unlike Rishidot Research’s long form reports, these guides are purposed to inform decision makers about the strengths and weaknesses of specific technologies. This understanding will empower them and their teams to make objective strategic decisions without depending on vendor marketing materials. When decision makers want a deep dive into specific technologies or need to evaluate various scenarios as part of their planning process, Rishidot Research can aid that process through consulting engagements.

In the first issue of this series, we are tackling the question of Nomad Vs Kubernetes. We get this question all the time when enterprise decision makers are considering scheduling and orchestration solutions for their cloud native workloads. This guide will help decision makers understand where Nomad and Kubernetes fits in the landscape. You can find the guide in Rishidot Research’s Github Repo.

Briefing Notes: Insight Engines Takes AI To Enterprise IT

Krishnan Subramanian · September 27, 2017 · 1 Comment

Insight Engines, the San Francisco based startup focused on making machine data actionable, announced the general availability of Cyber Security Investigator and, also, showcased how Amazon Alexa can be tapped to query from Cyber Security Investigator. In this note, we will do an analysis on this announcement.

Market Overview

AI in enterprise is relatively new. Even though enterprises are slowly embracing machine learning and other AI models to dig deeper into their customer data and make business decisions, there is very little progress in using AI to take advantage of machine data. There are plenty of analytics solutions that helps Operations teams optimize their decision making process. But the market is still in infancy when it comes to using ML to automagically do operations or use AI technologies like NLP to develop a better user experience for the machine data. Imagine how DevOps can be done more optimally if developers or even other stakeholders like business users can take advantage of NLP to interact directly with machine data. These are just beginning and we can’t imagine what AI can do to autonomic computing with our current understanding of the landscape.

SWOT Analysis

Strengths

  • Powerful NLP engine to handle machine data, add context and give customization options to users
  • Starting with Splunk data (with an investment from Splunk, of course) gives them an easy on ramp to enterprise IT
  • Their initial focus on Security will help them get the attention of IT decision makers
  • Autopilot feature that provides a more pro-active approach to security might serve as model for future autonomic computing platforms

Weakness

  • They are a startup pushing a newer technology in the enterprise market. The barrier to entry for startups in enterprise is high. However, their partnership with Splunk should help them
  • They provide on-premise deployments which makes it difficult for the learning engine to continuously improve. But they are tapping into the anonymized meta data to help the learning engines learn from user behaviors. This will work well with modern enterprises but they may have trouble convincing enterprises in highly regulated verticals. It is not a weakness for Insight Engines alone but for any company trying to build AI systems that can be deployed on-premises. To overcome this, Insight Engines, as a pioneer in this space, has to convince the customers to share their metadata with them. It is a potential weakness but also an opportunity for them to emerge as thought leaders

Opportunities

  • Insight Engines has the first mover advantage and they are attacking low hanging fruits (machine data and security) with a more powerful NLP engine. They can easily broaden their product portfolio going forward
  • As we embrace modern stacks with deeper and deeper levels of automation, ML and AI are going to be the next wave of innovation. The early innovations in this kind of autonomic IT will come around user interface and user experience. Insight Engines is well positioned to take advantage of the trend

Threats

  • Many established players collect lot of machine data (including Splunk) and it is a logical next step for them to attack the low hanging fruits like NLP for UI/UX. Though it is a threat, it is also an opportunity
  • Open source NLP engines can come and disrupt the market. OSS need not come from the traditional IT companies but also from end customers who develop ML and AI engines for their internal use. There is also an opportunity for Insight Engines to lead here but OSS by startups is not easy.

Conclusion

Insight Engines is an interesting startup in the up and coming field of AI in enterprise IT. It is too early in the market but offers potential opportunities for enterprises to do IT more optimally and optimize the use of human power in house by involving more stakeholders and by reducing the learning curve.

Briefing Notes: CloudVelocity

Krishnan Subramanian · June 3, 2013 · Leave a Comment

This is a briefing note prepared by Lori Macvittie on CloudVelocity, a company offering hybrid cloud automation software.

Abstract: Cloud Velocity technology is designed to manage automated migration of applications in hybrid cloud environments as well as on- boarding enterprise applications to public cloud computing environments.

To download the briefing note, you need to sign up as a free subscriber. Check out this page for signing up as a free subscriber. Once you sign up for your account and log in, you will see a download link to the briefing note.

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Download Link: https://rishidotver3.wpengine.com/?s2member_file_download=RishidotResearchBriefingNotesCloudVelocity.pdf
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Briefing Notes: Cloudscaling

Krishnan Subramanian · February 8, 2013 · Leave a Comment

This is a briefing note prepared by me on Cloudscaling, a vendor in OpenStack ecosystem offering production grade cloud platform.

Overview:

Cloudscaling is one of the vendors in the OpenStack ecosystem focusing on building infrastructure for web scale applications. Their core product is Open Cloud System, which is in Version 2.0 now. OCS is suitable for organizations wanting to build elastic infrastructure like public clouds inside their own datacenter. OCS core is based on OpenStack with some additional add-ons offered by Cloudscaling to optimize the OpenStack platform for production level infrastructure.

 

Download Link: http://www.slideshare.net/rishidot/rishidot-research-briefing-notes-cloudscaling

Position Paper: Open Source And Cloud Computing

Krishnan Subramanian · January 31, 2013 · Leave a Comment

Abstract:

Before the proliferation of cloud computing, open source software entered the enterprise IT helping them cut costs, avoid vendor lock- in and innovate on top of them. It democratized the enterprise software eventually leading to a newer operational model called cloud computing. As enterprises moved into a services based world, the natural question in everyone’s mind was about the usefulness of source code when everything from infrastructure to applications are offered as services. This report will critically examine this question

You can read the full paper below.

Open source and cloud computing from Rishidot Research

Download Link: http://www.slideshare.net/rishidot/open-source-and-cloud-computing

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