CIO

NOVEMBER 4, 2024

To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. Additionally, the platform provides persistent storage for block and file, object storage, and databases.

Disaster Recovery 166

Disaster Recovery Open Source Compliance Virtualization 166

CIO

JANUARY 7, 2025

It prevents vendor lock-in, gives a lever for strong negotiation, enables business flexibility in strategy execution owing to complicated architecture or regional limitations in terms of security and legal compliance if and when they rise and promotes portability from an application architecture perspective.

Cloud 147

Cloud Strategy Architecture Policies 147

AWS Machine Learning - AI

NOVEMBER 13, 2024

A reverse image search engine enables users to upload an image to find related information instead of using text-based queries. Solution overview The solution outlines how to build a reverse image search engine to retrieve similar images based on input image queries. Engine : Select nmslib. Choose Create vector index.

AWS 115

AWS Engineering Serverless eCommerce 115

Erik Bernhardsson

DECEMBER 15, 2020

I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. Mediocre software exists because someone wasn't able to hire better engineers, or they didn't have time, or whatever.

Software Engineering 325

Software Engineering Engineering Tools Software 325

The Crazy Programmer

DECEMBER 13, 2020

Looking for seminar topics on Computer Science Engineering (CSE)? Computer Science Engineering, among all other engineering courses, is the recent trend among students passing 12th board exams. 51 Seminar Topics for Computer Science Engineering (CSE). 51 Seminar Topics for Computer Science Engineering (CSE).

Engineering 270

Engineering Wireless 3D Programming 270

CIO

AUGUST 26, 2024

Many organizations spin up infrastructure in different locations, such as private and public clouds, without first creating a comprehensive architecture. Adopting the same software-defined storage across multiple locations creates a universal storage layer.

Storage 167

Storage AWS Compliance Cloud 167

CIO

JUNE 19, 2024

Three years ago BSH Home Appliances completely rearranged its IT organization, creating a digital platform services team consisting of three global platform engineering teams, and four regional platform and operations teams. They may also ensure consistency in terms of processes, architecture, security, and technical governance.

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

CIO

APRIL 9, 2025

The networking, compute, and storage needs not to mention power and cooling are significant, and market pressures require the assembly to happen quickly. With Google Cloud VMware Engine, its easy to integrate Googles Vertex AI directly into the VMware environment, says Myke Rylance, client solution architect at Broadcom.

Google Cloud 133

Google Cloud Load Balancer Virtualization Artificial Intelligence 133

TechCrunch

JANUARY 9, 2023

Fungible was launched in 2016 by Bertrand Serlet, a former Apple software engineer who sold a cloud storage startup, Upthere, to Western Digital in 2017, alongside Krishna Yarlagadda and Jupiter Networks co-founder Pradeep Sindhu.

Azure 282

Azure Data Center Data Storage 282

CIO

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. The data engineer role.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

CIO

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.

Data Engineering 203

Data Engineering Analytics Engineering Data 203

Honeycomb

APRIL 23, 2025

Executives may not need to understand the technical details of the implementation decisions that roll up to them, but observability engineering teams sure as hell do. download Model-specific cost drivers: the pillars model vs consolidated storage model (observability 2.0) In the past, I have referred to these models as observability 1.0

Weak Development Team 110

Weak Development Team Metrics Storage Engineering 110

CIO

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.

Generative AI 148

Generative AI Storage Scalability Technical Review 148

AWS Machine Learning - AI

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

Generative AI 118

Generative AI Technical Review Software Review Systems Review 118

AWS Machine Learning - AI

JANUARY 29, 2025

DeepSeek-R1 distilled variations From the foundation of DeepSeek-R1, DeepSeek AI has created a series of distilled models based on both Metas Llama and Qwen architectures, ranging from 1.570 billion parameters. Sufficient local storage space, at least 17 GB for the 8B model or 135 GB for the 70B model. 70B 128K model.

Generative AI 132

Generative AI Artificial Inteligence AWS Technical Review 132

AWS Machine Learning - AI

MAY 2, 2025

The following diagram illustrates the solution architecture on AWS. Image capture and storage with Amplify and Amazon S3 After being authenticated, the user can capture an image of a scene, item, or scenario they wish to recall words from. In this architecture, the frontend of the word finding app is hosted on Amplify.

Generative AI 92

Generative AI AWS Lambda Authentication 92

CIO

APRIL 9, 2025

Cloud-based workloads can burst as needed, because IT can easily add more compute and storage capacity on-demand to handle spikes in usage, such as during tax season for an accounting firm or on Black Friday for an e-commerce site. Theres no downtime, and all networking and dependencies are retained. Refresh cycle. R elocating workloads.

Cloud 88

Cloud Google Cloud Disaster Recovery Data Center 88

Honeycomb

NOVEMBER 19, 2024

Under the hood, these are stored in various metrics formats: unstructured logs (strings), structured logs, time-series databases, columnar databases , and other proprietary storage systems. But those tools weren’t built for software engineers, and they were prohibitively expensive at production scale. Observability 1.0

Software Review 133

Software Review Weak Development Team Metrics Technical Review 133

TechCrunch

FEBRUARY 10, 2021

It’s the team’s networking and storage knowledge and seeing how that industry built its hardware that now informs how NeuReality is thinking about building its own AI platform. “We kind of combined a lot of techniques that we brought from the storage and networking world,” Tanach explained.

Hardware 250

Hardware Data Center Architecture Storage 250

CIO

APRIL 16, 2025

Digital tools are the lifeblood of todays enterprises, but the complexity of hybrid cloud architectures, involving thousands of containers, microservices and applications, frustratesoperational leaders trying to optimize business outcomes. The ability to enrich data with business context.

Artificial Inteligence 88

Artificial Inteligence Artificial Intelligence Analysis Banking 88

Honeycomb

FEBRUARY 26, 2025

Among these signals, OpenTelemetry metrics are crucial in helping engineers understand their systems. The OpenTelemetry client architecture outlines signals and what they include at the minimum. Limit high-cardinality metrics : These are harder to search for and can overwhelm storage systems. We recommend using logs instead.

Metrics 69

Metrics Engineering Trends System 69

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Data 84

Data Analytics Systems Review Architecture 84

CIO

MARCH 4, 2025

Jim Liddle, chief innovation officer for AI and data strategy at hybrid-cloud storage company Nasuni, questions the likelihood of large hyperscalers offering management services for all agents. We are in the early stages of the multi-agentic transformation of the enterprise.

Software Review 179

Software Review Artificial Inteligence Technical Review Government 179

CIO

MARCH 13, 2025

Although organizations have embraced microservices-based applications, IT leaders continue to grapple with the need to unify and gain efficiencies in their infrastructure and operations across both traditional and modern application architectures. VMware Cloud Foundation (VCF) is one such solution. Much of what VCF offers is well established.

Virtualization 103

Virtualization Microservices Architecture Policies 103

Cloudera

DECEMBER 2, 2024

Cloudera is committed to providing the most optimal architecture for data processing, advanced analytics, and AI while advancing our customers’ cloud journeys. Lakehouse Optimizer : Cloudera introduced a service that automatically optimizes Iceberg tables for high-performance queries and reduced storage utilization.

Sustainability 89

Sustainability AWS Analytics Infrastructure 89

TechCrunch

AUGUST 16, 2022

Part of the problem is that data-intensive workloads require substantial resources, and that adding the necessary compute and storage infrastructure is often expensive. Pliop’s processors are engineered to boost the performance of databases and other apps that run on flash memory, saving money in the long run, he claims.

Data Center 208

Data Center Analytics Weak Development Team Data 208

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

AWS Machine Learning - AI

JANUARY 13, 2025

Amazon Q Business can increase productivity across diverse teams, including developers, architects, site reliability engineers (SREs), and product managers. Enterprises provide their developers, engineers, and architects with a range of knowledge bases and documents, such as usage guides, wikis, and tools.

Generative AI 106

Generative AI AWS Innovation Knowledge Base 106

AWS Machine Learning - AI

NOVEMBER 19, 2024

Solution overview This section outlines the architecture designed for an email support system using generative AI. AI-powered email processing engine – Central to the solution, this engine uses AI to analyze and process emails.

Knowledge Base 109

Knowledge Base Technical Review Generative AI Lambda 109

CIO

JUNE 18, 2024

This piece looks at the control and storage technologies and requirements that are not only necessary for enterprise AI deployment but also essential to achieve the state of artificial consciousness. This architecture integrates a strategic assembly of server types across 10 racks to ensure peak performance and scalability.

Artificial Inteligence 167

Artificial Inteligence Storage Artificial Intelligence Hardware 167

AWS Machine Learning - AI

APRIL 23, 2025

Designed with a serverless, cost-optimized architecture, the platform provisions SageMaker endpoints dynamically, providing efficient resource utilization while maintaining scalability. The following diagram illustrates the solution architecture. Key architectural decisions drive both performance and cost optimization.

Artificial Inteligence 67

Artificial Inteligence Open Source AWS Serverless 67

TechCrunch

JULY 12, 2022

Jeff Ready asserts that his company, Scale Computing , can help enterprises that aren’t sure where to start with edge computing via storage architecture and disaster recovery technologies. Early on, Scale focused on selling servers loaded with custom storage software targeting small- and medium-sized businesses.

Disaster Recovery 215

Disaster Recovery Infrastructure Company Development Team Review 215

AWS Machine Learning - AI

MARCH 7, 2025

In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline. Solution overview The policy documents reside in Amazon Simple Storage Service (Amazon S3) storage. The following diagram illustrates the solution architecture.

Generative AI 101

Generative AI Technical Review Insurance Policies 101

TechCrunch

JUNE 1, 2022

Essentially, Coralogix allows DevOps and other engineering teams a way to observe and analyze data streams before they get indexed and/or sent to storage, giving them more flexibility to query the data in different ways and glean more insights faster (and more cheaply because doing this pre-indexing results in less latency).

Analytics 246

Analytics DevOps Storage Business Intelligence 246

AWS Machine Learning - AI

MARCH 13, 2025

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. The following architecture diagram demonstrates the request flow for AskAI.

Generative AI 113

Generative AI CTO Coach AWS Artificial Inteligence 113

The Crazy Programmer

SEPTEMBER 28, 2022

At Google, he was a remarkable Software Engineer. David’s main areas of investigation are as under: Parallel computing Computer architecture Distributed computing Workload Embedded system. He is famous for research on redundant arrays of inexpensive disks (RAID) storage. David’s work dealt with software engineering.

Software Engineering 173

Software Engineering Architecture Storage Education 173

Xebia

FEBRUARY 23, 2025

In many companies, data is spread across different storage locations and platforms, thus, ensuring effective connections and governance is crucial. Tools like dbt accelerated data democratization by allowing engineers to shift left business logic and create a hub-spoke model for data.

Trends 130

Trends Data Artificial Inteligence Weak Development Team 130