Technology Innovations

Here’s how organizations adopting cloud-native architectures can bypass missteps on their migration journey.

Plane, an open source alternative to Atlassian's Jira work management software has begun to attract the attention of developers. 

The folks at Intersect360 Research released their latest report and market update just ahead of ISC 2023, which was held in Hamburg, Germany, last week. The headline: “We’re returning to stable growth,” per Addison Snell, Intersect360 CEO. 

In the “grand unification” view of the market – which includes Intersect360’s analysis of both on-prem and hyperscale datacenters – total spending was $251.9 billion in 2022, representing 7.2% growth year-over-year. Of that, $30.4 billion (~12%) was for on-prem HPC and AI systems ($28.8 billion of that specifically to HPC budgets); $95.4 billion (~38%) was for on-prem enterprises systems; and just over 50% was for hyperscale, which – for the first time, per Intersect360 – represents more than half of datacenter spending.

The interesting thing about the June 2023 rankings of the world’s most powerful supercomputers is not how it really has not changed all that much in the past six months, or that the June list is coming out in May. But rather it is how that list might change, yet again, this time thanks to an influx of cloud systems and AI systems, moving the rankings even further away from its original goal of ranking the performance of the largest, permanent supercomputers doing HPC simulation and modeling.

What does a scalable monitoring strategy look like and how can you safeguard against the most significant issue in observability?

Digital twins analytics has been applied in a variety of contexts. Today, digital twins are gaining in popularity for various complex projects.   In this article, we explore the use of digital twins for simulation tasks. We first explain the significance of simulation and then explain how complex manufacturing processes may be simulated as a digital twin.

With the right strategy you can overcome multicloud’s complexity while maximizing its benefits. Here are three key considerations.

ITOps engineers should consider learning one or more of these seven scripting languages to do their jobs better.

A successful cloud migration requires planning, expertise, communication, and time management. Addressing challenges proactively leads to a smooth transition.

The rise of cloud computing, data mesh, and especially data lakehouses all reflect the massive efforts to adopt architectures that will keep pace with the exponential of data constantly growing. 

But the industry is still seeking new alternatives. While solutions such as the data lakehouse typically leverage an open-source processing engine and a table format for data governance and performance improvement, some vendors are already innovating new business intelligence tools that supplement metadata architecture with the critical addition of the managed semantic layer.

MosaicML delivers a secure platform for hosted AI

Unified Communications as a Service brings voice, text chat, meetings, and other communication technologies together into a single integrated platform. Here’s what to look for when shopping for a UCaaS platform, along with six top vendors to consider.

Read the fourth State of Continuous Delivery Report, this one is about The Evolution of Software Delivery Performance.

Cloudflare uses Kafka clusters to decouple microservices and communicate the creation, change or deletion of various resources via protobuf, a common data format in a fault-tolerant manner. The authors suggest investing in metrics for problem detection, prioritizing clear SDK documentation, and balancing flexibility and simplicity for standardized pipelines.

AI art generators or AI image generators use text prompts to produce images within seconds. I tested the best AI art generators, and DALL-E isn't your only option.

What do ChatGPT and other large language models owe to the human creators who provide the information they train on? What if creators stop making their insights publicly available?

Serverless microservices with stateless session storage via REST are the core ingredients of next-gen applications.

With the recent evolution of ChatGPT and generative AI, the picture of what AI can accomplish is becoming more apparent. As new use cases and innovation accelerates, this is an exciting time for the industry. However, it will take time for these technologies to break into the mainstream market and reach a level of ease of use that can provide real value to enterprises at large.

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical database. Assuming that the logical data model is complete, though, what must be done to implement a physical database?

FeatureByte, an AI startup formed by a team of data science experts, announced the release of its open-source FeatureByte SDK. The SDK allows data scientists to use Python to create state-of-the-art features and deploy feature pipelines in minutes – all with just a few lines of code. FeatureByte automatically generates complex, time-aware SQL to perform feature transformations at scale in cloud data platforms such as Databricks and Snowflake.

The potential applications of the algorithm are enormous, ranging from enhancing the precision of medical diagnoses, to advancing autonomous vehicle technology.

“I have suddenly switched my views on whether these things are going to be more intelligent than us.” 

Ambient mode is the future of Istio service mesh. This article presents a step-by-step tutorial on how to implement it in GKE or AKS.