TechCrunch

JUNE 1, 2022

Today, thanks to the cloud, microservices, distributed applications, global scale, real-time data and deep learning, new database architectures have emerged to solve for new performance requirements. We now have different systems for fast reads and fast writes.

Serverless 245

Serverless Enterprise Microservices Open Source 245

Dzone - DevOps

SEPTEMBER 27, 2023

But times have changed; the era of cloud computing, microservices, and real-time analytics is here. In this dynamic setting, APIs (Application Programming Interfaces) emerge as the transformative agents for data integration, connecting the dots between different systems, data lakes, and analytical tools.

Microservices 96

Microservices Cloud Data Analytics 96

OverOps

JULY 21, 2020

If you think of the shift to microservices and containers as an evolution rather than a revolution then you’ve reached the right place! Challenges such as: Managing the transition from a monolithic application to microservices. Dealing with polyglot programming across microservices. Logging across microservices.

Applications 226

Applications Microservices Testing Analysis 226

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash. Overview of Rockset technology.

Analytics 21

Analytics Serverless Blockchain Microservices 21

AWS Machine Learning - AI

NOVEMBER 7, 2024

Each component in the previous diagram can be implemented as a microservice and is multi-tenant in nature, meaning it stores details related to each tenant, uniquely represented by a tenant_id. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices.

Generative AI 106

Generative AI AWS Enterprise Artificial Inteligence 106

O'Reilly Media - Ideas

JANUARY 14, 2025

Once data has been stored in a data lake, it can be used for traditional business analytics, stored in a vector or graph database for RAG, or put to almost any other use. Microservices declined 24%, though content use is still substantial. Domain-Driven Design, which is an excellent skill for designing with microservices, is down 22%.

Trends 132

Trends Technology Security Artificial Inteligence 132

DevOps.com

APRIL 23, 2020

The post Instana Announces Integration with Coralogix Log Analytics Solution appeared first on DevOps.com.

Analytics 77

Analytics Microservices Applications Cloud 77

TechCrunch

MAY 18, 2022

Schmidt argues that as enterprises broke up their monolithic application architectures and moved to microservices, everything became so atomized that it now puts the burden on developers to piece everything back together when they want to build a new application on top of these systems. ” Image Credits: Apollo.

Microservices 219

Microservices Enterprise Virtualization Open Source 219

Palo Alto Networks

NOVEMBER 12, 2024

But, modern applications, built with microservices, rely on multiple interdependent systems, where a single click on a webpage can load hundreds of objects. In today’s complex digital landscape, IT teams face growing challenges in delivering uninterrupted, seamless user experiences.

Applications 102

Applications Analysis Network Performance 102

Honeycomb

NOVEMBER 19, 2024

You probably use some subset (or superset) of tools including APM, RUM, unstructured logs, structured logs, infra metrics, tracing tools, profiling tools, product analytics, marketing analytics, dashboards, SLO tools, and more. Three big reasons the rise of observability 2.0

Software Review 133

Software Review Weak Development Team Metrics Technical Review 133

OverOps

JULY 25, 2018

Everyone in tech is busy discussing Kubernetes, containers, and microservices as if the basics of DevOps and continuous delivery are all figured out. Each has multiple server instances, and those instances might have multiple microservices, distributed or not, containerized or not. The lay of the land gets quite complex.

Weak Development Team 239

Weak Development Team Software Review Technical Review Microservices 239

TechCrunch

OCTOBER 7, 2021

Specifically, they saw an opportunity to address a particular gap: Uber built its own observability platform from the ground up to handle its particular mix of microservices and containers because, as Mao described it, the Googles of the world had built their own, “so we followed the same path.”

Cloud 209

Cloud Sport Open Source Machine Learning 209

Perficient

NOVEMBER 6, 2024

Whether it’s integrating third-party services, building microservices, or enabling dynamic content for web and mobile applications, APIs are everywhere. Microservices and Serverless Architectures: Modern applications are moving towards distributed systems such as microservices and serverless architectures.

eCommerce 52

eCommerce Microservices Technology Mobile 52

Xebia

MAY 21, 2024

This may include breaking monolithic applications into microservices, containerizing applications using Docker and Kubernetes, or adopting serverless computing with AWS Lambda. Adoption of Cloud-Native Technologies: Companies embrace cloud-native technologies such as containers, serverless computing, and microservices architecture.

AWS 130

AWS Strategy Serverless Microservices 130

TechCrunch

MAY 2, 2022

Via a combination of “distributed tracing” and “context-based behavioral analytics,” the startup’s software — which works on-premises or in the cloud — can catalog APIs including “shadow” (e.g., undocumented) and “orphaned” (e.g.,

Artificial Inteligence 234

Artificial Inteligence Machine Learning Technical Cofounder Cloud 234

O'Reilly Media - Data

JUNE 12, 2018

Fundamentally, a smart contract can be created with nothing more than a microservice with a trigger event, otherwise known as function-as-a-service (FaaS) or a serverless model. Finally, integrate analytics to ensure the blockchain is not an isolated ledger, but an integrated and intelligent underpinning of business functions.

Blockchain 215

Blockchain Disaster Recovery Fashion Enterprise 215

Perficient

MARCH 17, 2025

Leveraging advanced data analytics , AI, and machine learning can provide real-time insights into customer preferences, behaviors, and financial needs, creating highly individualized experiences that improve engagement and loyalty.

Trends 52

Trends Artificial Inteligence Machine Learning Compliance 52

Dataiku

JUNE 1, 2021

“Businesses need more advanced and flexible analytics applications to cope with increasingly complex and unpredictable business needs. Many companies have adopted embedded analytics in order to bring analytics closer to business processes and improve decision making.

Analytics 59

Analytics Microservices Agile Cloud 59

OverOps

MAY 20, 2018

And open source stacks have evolved so we can send data to tools and run analytics and dashboards as well. Then and now: monolith and microservices. And it’s not just hard goods, it’s how we are breaking own our monolithic application into microservices. It is a direct influence in the move to microservices.

Software 154

Software Open Source Microservices Tools 154

CIO

FEBRUARY 14, 2023

AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions. report they have established a data culture 26.5% That’s not to say it’ll be easy.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

AWS Machine Learning - AI

MAY 30, 2024

The solution adopts microservice design principles, with loosely coupled components that can be deployed together to serve the video analysis and policy evaluation workflow, or independently to integrate into existing pipelines. The following diagram illustrates the microservice architecture.

Generative AI 128

Generative AI Policies Video AWS 128

O'Reilly Media - Ideas

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. More than half of respondent organizations use microservices. Microservices Achieves Critical Mass, SRE Surging. All told, we received 1,283 responses.

Cloud 144

Cloud Microservices Serverless Survey 144

CIO

FEBRUARY 17, 2023

The blueprint of that transformation, which is based on Google Cloud Platform and its core microservices, was designed roughly two years ago but its implementation — which first involves migrating data to the cloud and then implementing analytics — has just begun. Today, the company uses Tableau and PowerBI for analytics.

Cloud 158

Cloud Analytics Google Cloud Real Estate 158

CIO

JUNE 16, 2023

Our cloud journey continues to mature,” says Vaughan, who decided to modernize 75% of MoneyGram’s microservices in Kubernetes but not all applications out of the gate. For example, using Google Analytics, the team has gained deeper insights into its customer base. “We We’ve made a little progress, but we’re still toddlers.”

Retail 148

Retail Microservices Analytics Fintech 148

CIO

JUNE 21, 2023

Sysco’s key ingredient: IT At its core, Recipe for Growth “relies heavily on Sysco being a great technology shop, getting rid of technical debt, migration to the cloud, delivering microservices and using artificial intelligence,” Peck says. The base engine for the e-commerce and data warehouse is all custom code.

Artificial Inteligence 141

Artificial Inteligence Technical Review B2C B2B 141

CIO

JANUARY 19, 2023

With the rise of microservices and cloud-native applications, new security challenges are arising for enterprise IT departments. The list also includes newer and emerging technology domains such as AI/big data analytics, Container Management and Metaverse. When it comes to container-related technologies, only 30% are using OSS.

Open Source 205

Open Source Software Review Technical Review Enterprise 205

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Cloudera

JULY 18, 2022

We will also use the information produced by the streaming analytics jobs to feed different downstream systems and dashboards. . The scored transactions are written to the Kafka topic that will feed the real-time analytics process that runs on Apache Flink. Use case recap. For more details about the use case, please read part 1.

Analytics 91

Analytics Data Applications System 91

Datavail

MARCH 2, 2022

In contrast to monolithic architecture, microservices have been growing in popularity in recent years. According to O’Reilly’s Microservices Adoption in 2020 survey , for example, 77 percent of companies say that they’ve experimented with microservices (and 92 percent of these respondents report having success with them).

Microservices 55

Microservices Applications Cloud Architecture 55

CIO

DECEMBER 22, 2023

Skills: Relevant skills for a cloud software engineer include Python, Java, C#, JavaScript, microservices architecture, serverless computing, APIs and SKDs, DevOps, cybersecurity, and knowledge of the agile methodology. Role growth: 19% of companies have added cloud software engineer roles as part of their cloud investments.

Cloud 195

Cloud Company Disaster Recovery Software Engineering 195

CIO

DECEMBER 1, 2023

Since its origins in the early 1970s, LexisNexis and its portfolio of legal and business data and analytics services have faced competitive threats heralded by the rise of the Internet, Google Search, and open source software — and now perhaps its most formidable adversary yet: generative AI, Reihl notes. “We

Generative AI 193

Generative AI Artificial Inteligence ChatGPT Azure 193

TechCrunch

MAY 16, 2022

Apps are increasingly built using containers, or “microservices” packaged with all the necessary dependencies and configuration files. Co-founder and CEO Hong Wang says that the funding will enable Akuity to expand the size of its workforce while contributing to the open source community.

Weak Development Team 202

Weak Development Team Open Source Continuous Delivery Linux 202

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

JUNE 23, 2023

Roughly 18 months into the project, VW recently began making available on its factory floor the first AWS microservices of what Frank Goeller, head of digital production at Volkswagen Group, refers to as a “digital production platform.” Other challenges remain, such as finding talent with an understanding of AI and advanced analytics. “We

Automotive 158

Automotive Industry Cloud AWS 158

CIO

JANUARY 16, 2023

Kirkland, a founding member of SustainabilityIT.org, an organization to drive global sustainability through technology leadership, says Choice was the first hospitality company to make a strategic commitment to developing a cloud-native and sustainable platform on AWS.

Hotels 217

Hotels Sustainability Cloud Data Center 217

Xebia

DECEMBER 9, 2023

Underlying technology of Chaos Studio for Azure Kubernetes Service is the opens source platform Chaos Mesh We started with deploying a microservice application on to AKS. Microservices with Dapr and Open telemetry on Azure Kubernetes – Duncan, Marcel At Xpirit, we have created many solutions based on a microservices architecture.

Innovation 130

Innovation Azure Microservices IoT 130