RapidValue

OCTOBER 12, 2020

Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.

Microservices 53

Microservices AWS Architecture Applications 53

CIO

NOVEMBER 2, 2023

After being in cloud and leveraging it better, we are able to manage compute and storage better ourselves,” said the CIO, who notes that vendors are not cutting costs on licenses or capacity but are offering more guidance and tools. He went with cloud provider Wasabi for those storage needs. “We

Strategy 351

Strategy Cloud Generative AI Data Center 351

DevOps.com

NOVEMBER 12, 2020

The post Instana Announces Automated Monitoring and Tracing for Google Cloud Run, Cloud Storage and Cloud PubSub appeared first on DevOps.com. Like other […].

Google Cloud 67

Google Cloud Storage Cloud Serverless 67

CIO

FEBRUARY 7, 2024

“API-first strategy becomes critical to navigate contemporary tech trends, foster innovation, and ensure adaptability in a rapidly evolving technological landscape,” says Krithika Bhat, CIO of enterprise flash storage provider Pure Storage.

Technical Review 312

Technical Review Government Artificial Inteligence Software Review 312

InfoWorld

FEBRUARY 20, 2024

a curated, Oracle-supported build of the open source Micronaut framework, which provides a full-stack JVM platform for developing modular microservices and serverless applications. Oracle has introduced Graal Cloud Native 4.2.1, Graal Cloud Native 4.2.1 was unveiled January 30.

Google Cloud 73

Google Cloud Cloud Serverless Microservices 73

Newgen Software

MAY 13, 2024

Built on a microservices architecture with advanced technologies, Newgen’s robust content services platform offers a comprehensive suite of features and functionalities tailored to the needs of today’s businesses.

Enterprise 52

Enterprise Strategy Technical Review Microservices 52

DevOps.com

JANUARY 21, 2020

The post The Acceleration of Data and Data Storage Trends appeared first on DevOps.com. Increasing demands for size, speed, performance and reliance have propelled the data market forward at a faster rate than could have ever been anticipated, and new technologies are making some dreams for data a reality.

Storage 92

Storage Trends Data Open Source 92

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

CIO

FEBRUARY 14, 2023

Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions. While big data technologies like Hadoop were used to get large volumes of data into low-cost storage quickly, these efforts often lacked the appropriate data modeling, architecture, governance, and speed needed for real-time success.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

CIO

DECEMBER 19, 2023

virtual machine, container, microservice, application, storage, or cloud resource) used either as needed or in an always-on fashion to complete a specific task; for example, AWS S3. A workload is any specific service (e.g., Much like users, they need to be granted secure access to both applications and the internet.

B2B 246

B2B IoT Architecture Fashion 246

Netflix Tech

OCTOBER 19, 2020

Distributed Tracing: the missing context in troubleshooting services at scale Prior to Edgar, our engineers had to sift through a mountain of metadata and logs pulled from various Netflix microservices in order to understand a specific streaming failure experienced by any of our members. Trace Instrumentation: how will it impact our service?

Infrastructure 93

Infrastructure Microservices Systems Review Storage 93

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 325

Cloud Company Disaster Recovery Software Engineering 325

Dzone - DevOps

MAY 1, 2023

With the growth of the application modernization demands, monolithic applications were refactored to cloud-native microservices and serverless functions with lighter, faster, and smaller application portfolios for the past years.

Serverless 83

Serverless Lambda Data Microservices 83

Dzone - DevOps

OCTOBER 10, 2023

With the rise of microservices and cloud-native applications, Jaeger has become a crucial tool for developers and system administrators to gain insights into the performance and behavior of their applications. Use the best-performing Jaeger storage backend that you can find.

Performance 40

Performance Systems Administration Software Review Systems Review 40

Dzone - DevOps

JUNE 24, 2022

In this new world of containerized cloud-native applications, microservices use multiple data services (MongoDB, Redis, Kafka, etc.) and storage technologies to store state and are typically deployed in multiple locations (regions, clouds, on-premises).

Disaster Recovery 64

Disaster Recovery Cloud Data Backup 64

d2iq

AUGUST 7, 2023

Only 22% of respondents said their company uses microservices, while in our 2022 Microservices survey, the rate was 93%, and in the 2021 Containers survey, it was 74%. Respondents at organizations using microservices had significantly more code and computational work running in containers.

Survey 52

Survey Microservices SDLC Trends 52

Perficient

MARCH 30, 2023

The computing and storage of cloud data occur in a data center, rather than on a locally sourced device. For many, this means starting their journey using microservices. Cloud computing makes data more accessible, cheaper, and scalable. Institutions should implement cloud technologies in a way that makes sense for their needs.

Banking 115

Banking Cloud Technical Review Microservices 115

Perficient

NOVEMBER 28, 2023

At the center of digital transformation, we face the exciting challenge of creating an ecosystem driven by high-performance, interconnected microservices developed in diverse languages such as Java, C#, JavaScript, and Python. At Perficient we extract the best of each language to shape an agile and efficient ecosystem.

Innovation 52

Innovation Technology Artificial Inteligence Artificial Intelligence 52

TechCrunch

OCTOBER 18, 2022

After selling two companies into large enterprises with lots of legacy software, Lawler witnessed firsthand how developers were struggling to understand the systems they were tasked with improving, and finding it difficult to deliver fast and secure code in complex microservices and cloud applications. Image Credits: AppMap.

Software Review 237

Software Review Analysis Weak Development Team Tools 237

CIO

SEPTEMBER 2, 2022

You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices. In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices. In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

d2iq

JULY 6, 2023

A new shift-left security mindset is required in which security is considered an infrastructure element, just like networking and storage. Containers have become the default way to package microservices because they provide consistency, portability, and repeatability.

Software Review 52

Software Review Microservices DevOps Software Development 52

Cloudera

SEPTEMBER 30, 2022

New use cases: event-driven, batch, and microservices. These use cases range from event-driven object store processing, microservices that power serverless web applications, to IoT data processing, asynchronous API gateway request processing, batch file processing, and job automation with cron/timer scheduling.

Serverless 76

Serverless Microservices Lambda IoT 76

TechCrunch

OCTOBER 7, 2021

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. Mao and co-founder Rob Skillington (CTO) founded Chronosphere on the back of early work that they started at Uber, where they built an observability platform very specific to Uber’s needs as a business.

Cloud 209

Cloud Sport Open Source Machine Learning 209

OTS Solutions

JUNE 9, 2023

This involves determining the programming language, and runtime environment, identifying the data storage and retrieval mechanisms, and analyzing the integration and communication requirements. Evaluate the Technology Stack Once you understand the business requirements, the next step is to evaluate the technology stack.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

This involves determining the programming language, and runtime environment, identifying the data storage and retrieval mechanisms, and analyzing the integration and communication requirements. Evaluate the Technology Stack Once you understand the business requirements, the next step is to evaluate the technology stack.

Enterprise 130

Enterprise Applications Development Scalability 130

Netflix Tech

APRIL 27, 2023

While Atlas is architected around compute & storage separation, and we could theoretically just scale the query layer to meet the increased query demand, every query, regardless of its type, has a data component that needs to be pushed down to the storage layer.

Metrics 115

Metrics Systems Review Storage Weak Development Team 115

CIO

NOVEMBER 29, 2023

And companies with data-intensive operations face both storage and bandwidth issues, he says, adding that PaaS and IaaS providers use both as competitive differentiators. “If First, what services, such as microservices or serverless, are available from the cloud service providers to facilitate migration?

Cloud 312

Cloud Technical Review Software Review Systems Review 312

Netlify

MAY 26, 2021

The whole point of serverless microservice architecture is that the server is only used when needed — making the operation and delivery fast and efficient. But with my dynamic tool, the operation is effectively sending all requests to the microservice. What would a microservice architecture cost? That was a game changer.

Serverless 111

Serverless Microservices Architecture Tools 111

OverOps

APRIL 24, 2019

This kind of debugging takes a hit in today’s schemaless persistence where document storage takes precedence. Microservices can be chained together to produce larger business flows. This gets even more tricky with microservices as these could be invoked using a variety of workflows. Some APM tools allow enabling a DB trace.

Analysis 223

Analysis Software Review Microservices Systems Review 223

DevOps.com

NOVEMBER 9, 2022

In the world of DevOps, only two things really matter: To release applications and updates as quickly as possible To have access to resources (processing, storage, networks) able to run those apps, as cost-effectively as possible. The measures used to achieve these twin goals should work together seamlessly–otherwise, you’re inefficient.

DevOps 142

DevOps Cloud Storage Software Development 142

Capgemini

APRIL 20, 2022

Business functions are exposed as pre-built REST APIs following microservice principles. Figure 4 – DCP business-function microservices. Then, appropriate microservices and resources will be deployed to the user’s AWS account through Amazon Elastic Container Registry (Amazon ECR) and AWS CloudFormation.

Cloud 52

Cloud AWS Microservices Architecture 52

Linux Academy

MAY 2, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further.

AWS 84

AWS Linux Storage Lambda 84

Honeycomb

MARCH 28, 2023

The Twelve-Factor App methodology is a go-to guide for people building microservices. More specifically, “ A twelve-factor app never concerns itself with routing or storage of its output stream.” As applications and hosting have evolved, some of these factors also need to. What is factor 11?

Systems Review 64

Systems Review Software Review Metrics Microservices 64

Existek

MAY 8, 2023

With Azure, developers can host.NET applications in the cloud, use cloud-based storage and databases, and leverage a range of other cloud-based services, such as machine learning and analytics. Microservices: what is.NET used for? ASP.NET simplifies the creation of APIs that can be used as microservices.

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

With Azure, developers can host.NET applications in the cloud, use cloud-based storage and databases, and leverage a range of other cloud-based services, such as machine learning and analytics. Microservices: what is.NET used for? ASP.NET simplifies the creation of APIs that can be used as microservices.

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has been particularly successful with microservices and contemporary applications. In fact, if we go by current trends containerised microservices running on Kubernetes are the future. faster access to external storage and data locality (I/O, bandwidth). Storage provisioning. Native frameworks.

Big Data 63

Big Data Data Storage Microservices 63