Cloud Computing


Introducing the GigaOm Sonar Report

I love working for Gigaom because we don’t settle. Ever. The Gigaom Key Criteria and Radar reports have gotten a lot of attention lately, because they focus on technology, execution, and roadmaps, instead of vendor revenue and market share. It’s an approach that is really appreciated by decision makers and our subscribers.

GigaOm subscribers know that we produce a lot of different types of reports. These include use case analysis reports, benchmarks, TCO reports, and more, but I thought we needed something unique to help give our subscribers an additional edge over their competition. In the end you work with an analyst firm just for one reason: to get better information, quicker, so you can improve and speed up your decision-making. This means it’s our job to anticipate and predict what’s coming next, to help you get ahead of the market.

Bridging … Read More »


Why Cloud Observability Now?

The term Observability might come as a conundrum for anyone who has been involved in IT Operations over the years, given how a major part of the challenge has always been to keep “single pane of glass” visibility on what can be a complex IT estate. Moving to the cloud also requires visibility, across the virtualized infrastructure and services in use — this is to be expected. Less evident at the outset is how cloud-based architectures change the nature of what needs to be managed:

cloud-based applications can become very complex, particularly if they are based on microservices
they can rely on multiple integration points with external and SaaS-based applications and services, accessed via APIs.
they are often hosted in multiple cloud environments or may still have portions hosted in on-premises or private clouds as well.
Third-party components such as JavaScript frameworks, advertising and … Read More »


Poised for Growth: GigaOm CEO on What Tech is Next

Artificial intelligence (AI) and machine learning (ML) are redefining the enterprise IT landscape, as across verticals see the potential for AI and ML to automate repetitive tasks and solve complex problems. But just how far does the potential of AI/ML reach?

GigaOm co-founder and CEO Ben Book recently appeared on an episode of the 7investing podcast with 7investing Founder and CEO Simon Erickson to discuss technology trends. He says most enterprises know that AI and ML will impact their business, but some are still trying to figure out just how the technology will work for them.

“The early adopters were webscale and high growth new industry and digital companies, like Google, Twitter, Uber, Facebook, investing in data scientists and other data-intensive industries such as finance and insurance,” says Book.

He says that while AI and ML have already made their mark in verticals … Read More »


Changing Outlook for High-Performance Object Storage

High-performance object storage is a data storage architecture designed for handling large amounts of unstructured data. It has historically been known for its ability to store these massive amounts of information as objects, rather than files. But use cases have broadened in recent years as more organizations produce large amounts of data and want the ability to organize, manage, and search it.

“High-performance object storage is common in two scenarios,” says GigaOm analyst Enrico Signoretti. “On one hand, these types of systems are used to consolidate more workloads on a single system. On the other hand, they are used as interactive storage for highly demanding workloads that also present huge data sets, like in AI, HPC, or big data analytics.”

In his new GigaOm Radar Report for High-Performance Object Storage, Signoretti looks at the fast-moving market of high-performance object storage solutions and … Read More »


Apache Pulsar Demonstrates Best-in-Class Cloud-Native Price-Performance

We are seeing increasing numbers of enterprise projects where data is produced, consumed, analyzed, and reacted to in real-time. In this way, the technology becomes aware of what’s going on inside and around it—making pragmatic, tactical decisions on its own. We see this being played out in transportation, telephony, healthcare, security and law enforcement, finance, manufacturing, and in most sectors of every industry.

Prior to this evolution, the analytical ramifications inherent in the data were derived long after the event that produced or created the data had passed. Now we can use technology to capture, analyze, and take action based on what is going on in the moment.

This category of data is known by several names: streaming, messaging, live feeds, real-time, and event-driven. In the streaming data and message queuing technology space, there are a number of popular technologies in use, … Read More »


Becoming a Learning Company: Why Boosting Training is Just as Important as Operations

In the highly competitive and skilled world of enterprise IT, continued technology training has always been a huge part of career development. The recent massive shift to remote work combined with the continued democratization of learning platforms is enabling a whole generation to find the training it needs online, anytime, and from anywhere.

What does this fundamental shift from training a lucky few within the company to a distributed world with self-taught developers and engineers mean for business and the skills IT workers need to succeed?

To answer this question, I spoke to Don Gannon-Jones, Head of Software Developers Skills for technology training platform Pluralsight. We spoke of the evolving use of the platform, how the pandemic has affected attitudes toward training, and how enterprises can become ‘learning companies’ with ongoing training at the heart of business and IT strategy.

Jon Collins: Hi … Read More »