MACHINE DATA

Glassbeam for Glassbeam (Part 5) – Data Driven Product Management

Glassbeam for Glassbeam - Product Management
 
Product Management is not an easy thing to do. Bulk of the company’s resources and direction is driven by the decisions made on the roadmap of the product. Bad decisions lead to wasted effort internally and in the best case lead to unhappy customers and in the worst case, lead to losing customers. 
 

Glassbeam for Glassbeam (Part 4) - Helping Smart Engineering Teams be Smarter

In this post, let me explain how Glassbeam’s engineering team uses the Glassbeam Analytics solution to be an effective and responsive team to every bug and the not-so-nice user experiences that our customers could potentially face.

Here are some guidelines that our Engineering team uses to seek answers from log data-driven Glassbeam Analytics:

Glassbeam for Glassbeam –Dogfooding and Loving it!

At Glassbeam, we have always believed in eating our own dog food and why not! We have the same use cases that our customers use for our platform. But, before I go deep into the internal use cases that we use Glassbeam for, let me explain how we collect our infrastructure logs and the types of logs we collect.

Glassbeam Lifts Gold as Most Innovative Company of the Year by Best in Biz Awards 2016

Recently, Glassbeam was named the most innovative company of the year by Best in Biz Awards 2016 International.  We were acknowledged due to our innovative approach at successfully developing unique machine data analytics solutions in the Internet of Things (IoT) market.

Welcoming dimension data to our family of customers

We’re thrilled to announce that Dimension Data has joined our fast-growing list of customers.

The Dimension Data deal is notable for a few reasons. It marks our foray into the Data Center Infrastructure management market – one that we think is primed for capitalizing on the various capabilities of our machine data analysis platform. And, that is exactly what Dimension Data is using Glassbeam for:

Machine logs analytics – next frontier for data center infrastructure management (dcim)

There are few detractors when it comes to the value of DCIM for an Infrastrucutre-as-a-Service (IaaS) provider. But as the data centers become more dynamic and heterogeneous, these tools will need to adept. As CDW, a leading DCIM vendor PREDICTS that cross vendor visibility and heterogeneous platform will challenge the effectiveness of these tools.

Predicting system failures to improve customer satisfaction

Companies like Amazon, Google, and Netflix have done an amazing job of providing a great customer experience. For example, when you use Google’s search engine, it quickly figures out if you are just researching a topic or planning to a buy a product/service. Accordingly, it tailors content to show you relevant ads or chooses not to display any. Similarly, when you buy a product on Amazon, it displays other products that may be of interest to you. Netflix offers suggestions of movies you may enjoy based on your viewing behavior. How do they do this?

Glassbeam for medical analytics – part 2

In PART ONE of the Glassbeam for Medical blog, we explored how Glassbeam helps customer support save turnaround time and avoid unnecessary replacement costs. Support is one use case that benefits from machine data analytics. But the benefits of such a solution can span across the enterprise from customer support to engineering to sales and marketing.

Designing for the internet of things using cassandra

I like the word “ontology”. It has a nice ring to it. Wikipedia defines Ontology as “knowledge as a set of concepts within a domain, and the relationships among those concepts”. When applied to machine data analytics (“domain”), we see that unless we isolate concepts and understand the relationships, we cannot obtain “knowledge”.

The intersection of machine data analytics and the internet of things

The ability to gather and harness data from machines and devices connected to the net is increasingly becoming a source of competitive advantage for those who have been thinking ahead. GE is widely cited, with their INDUSTRIAL INTERNET initiative. Cisco has been talking about INTERNET OF EVERYTHING for a while. At Glassbeam, we have been focusing on the infrastructure required to process and analyze machine data for over 3 years now.

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