RapidValue

APRIL 20, 2020

‘DevOps’, a term that was coined a decade before has grown to become a household name in the IT industry. A recent Markets and Markets Research Report suggests that the DevOps Market Size is expected to grow to USD 10.31 Read on to know more about the trends that are about to affect the future of DevOps. Billion by 2023.

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

Altexsoft

AUGUST 30, 2018

Today, DevOps is one of the most discussed software development approaches. So, if you are considering embracing DevOps for the sake of better performance, business success, and competitiveness, you take the first step and hire a DevOps engineer. What is DevOps? DevOps stands for development and operations.

DevOps 90

DevOps Engineering Continuous Delivery Systems Administration 90

Dzone - DevOps

APRIL 21, 2023

Microservice Architecture : Kong is designed to work with microservice architecture, providing a central point of control for API traffic and security. Scalability : Kong is designed to scale horizontally, allowing it to handle large amounts of API traffic.

Load Balancer 96

Load Balancer Microservices Authentication Architecture 96

Stackery

MAY 14, 2020

Performing Serverless Analytics in AWS Glue. AWS Glue is a fully managed extract, transform, and load (ETL) service to prepare and load data for analytics. Shah of AWS gives a tour of the features and how it enables you to run arbitrary Python or Spark in a scalable environment. Register for free here.

AWS 105

AWS Serverless Lambda Microservices 105

Datavail

APRIL 20, 2022

App modernization also makes it easier for your organization to follow best practices and methodologies for software development, such as agile and DevOps. Greater scalability and distributed processing. App modernization projects can make your legacy technology significantly more scalable and enable distributed processing.

Microservices 52

Microservices Azure .Net Scalability 52

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 314

Analytics Data Engineering Machine Learning Artificial Inteligence 314

RapidValue

SEPTEMBER 30, 2019

The Shift of Focus From CI Pipelines to DevOps Assembly Lines. The ultimate goal of DevOps is to improve collaboration between all stakeholders from planning through delivery and automation of the delivery process. The DevOps movement has created a mindset that encourages better collaboration and automation. Native integrations.

DevOps 60

DevOps Continuous Delivery Continuous Integration Testing 60

OTS Solutions

AUGUST 16, 2023

They can be used in several areas, including natural language processing, image recognition, predictive analytics, and behavior tracking. Predictive Analytics for personalized recommendations Predictive analytics has revolutionized the way businesses make recommendations to their customers.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

They can be used in several areas, including natural language processing, image recognition, predictive analytics, and behavior tracking. Predictive Analytics for personalized recommendations Predictive analytics has revolutionized the way businesses make recommendations to their customers.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Openxcell

JANUARY 19, 2022

Simply said, DevSecOps is a DevOps extension with a clear focus on security. What is the difference between DevOps vs. DevSecOps. DevSecOps DevOps It seeks to identify innovative solutions by removing silos between development teams and IT experts, allowing both parties to collaborate. How to implement DevSecOps.

Software Review 52

Software Review Technical Review Compliance DevOps 52

CircleCI

NOVEMBER 18, 2021

But as the demands on software teams continue to grow, it has become apparent that adding more staff is not a scalable solution. Systems have multiplied their components in the industry-wide shift to containers and microservices. DevOps vs AIOps. However, AIOps is not here to replace DevOps or even compete with it.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Datavail

MARCH 17, 2022

To increase business agility, improve scalability and cut costs, more and more companies are moving their data and applications to the cloud. One common refactoring technique is to break up a monolithic application into many interconnected microservices. Repurchasing. a SaaS product). Creating a cloud migration roadmap and strategy.

Cloud 52

Cloud Weak Development Team Software Review Technical Review 52

CircleCI

MARCH 3, 2021

Instead, migrate to modern CI tools gradually as you add new apps and microservices. Jenkins supports software testing and build automation, part of what we now call DevOps. Analytics are common in today’s cloud-native world. Analytics ( Insights ) are also built in. There is an alternative. What is Jenkins?

Open Source 64

Open Source Continuous Integration Virtualization Tools 64

Kentik

DECEMBER 11, 2018

Rapid scalability - One of the characteristics of cloud-native architectures is “elasticity,” which unlocks autoscaling — the ability to scale down when the workload is small, and scale up without any reprovisioning during peak time for the business. Eventually, these Dev and Op teams merged into “DevOps” teams. CI/CD (a.k.a.

Architecture 45

Architecture Network Cloud Microservices 45

Agile Engine

DECEMBER 3, 2023

35–48% savings reported by AWS for companies like Koch and Parsons 50% increase in costs reported by clients due to unoptimized AWS infrastructure Our experience: cutting AWS bills by up to 80% The optimization of AWS infrastructure and use has been a part of several of our projects focused on DevOps, microservices, and cloud migration.

UI/UX 52

UI/UX Budget Applications Technical Review 52

Trigent

APRIL 14, 2022

Enterprise software also has disaggregated from a monolithic form split into microservices (via containers) where code, debugger, utilities, and algorithms may be contained within the container and control routed appropriately to the parent code block as required. AIOps will be very much a requirement for the DevOps teams.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Openxcell

JULY 15, 2022

Go is a lightweight language that supports a wide range of applications, including microservices, stream processing, CLIs, and many more. It is much preferable to use your app container than the JVM languages for microservices because it can be packaged into a small container and deployed in a matter of seconds. Go for DevOps.

Software Review 52

Software Review Systems Review Weak Development Team Programming 52

Openxcell

NOVEMBER 27, 2023

Data migration involves moving both data and analytics workloads. An organization can benefit from cloud migration in several ways, including cost savings, scalability, flexibility, reliability, improved collaboration, and reduced IT overhead. Whenever possible, middleware tools should be used to automate certain processes.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

The Citus Data

DECEMBER 11, 2021

This post is a deep dive into how the UK Coronavirus analytics dashboard came to be, and why it’s architected the way it’s architected. In June of 2020, Pouria’s team was in the midst of architecting and evolving a more scalable system to power the application. Figure 1: Screenshot of the GOV.UK

Azure 88

Azure Open Source Software Review Analytics 88

Kentik

MARCH 28, 2018

microservices). Moving from statically deployed applications to DevOps, CI/CD development models. But also a legitimate philosophy that encompasses modern distributed computing, built-in redundancy and high availability, and horizontally scalable data ingest, storage, and compute.

Network 40

Network Data WAN Technical Review 40

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

Systems Review 63

Systems Review System Microservices Software Review 63

Existek

JANUARY 27, 2023

Scalability is also a significant challenge for financial services software development. Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions.

Software Development 52

Software Development Trends Technology Software 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Azure Data Center 49

Enlume

MAY 15, 2019

By using the data and the analytic tools to the cloud, the organization can analyze the results to gain a better understanding of their customers and get the trends. The cloud also helps the mobile app development cycle by being highly scalable, being flexible. Store and Analyse user data.

Cloud 53

Cloud Development Mobile Social 53

Perficient

MARCH 13, 2023

The ability to visualize logs from multiple pods simultaneously, sort and filter messages based on specific fields and create custom analytics dashboards makes Cluster Logging a must-have. The built-in Kibana deployment allows you to visualize all your logs through a web browser without requiring access to the Kubernetes API or CLI.

Serverless 83

Serverless Azure Metrics AWS 83

Enlume

MAY 15, 2019

By using the data and the analytic tools to the cloud, the organization can analyze the results to gain a better understanding of their customers and get the trends. The cloud also helps the mobile app development cycle by being highly scalable, being flexible. Store and Analyse user data.

Cloud 40

Cloud Development Mobile Social 40

Openxcell

FEBRUARY 8, 2021

The mobile app development platform architecture should support various API mediation, microservices, event-driven, serverless requirements to build a robust mobile application. Monitoring and Analytics. DevOps Support. You have to ensure that the mobile application development supports DevOps or not. Scalability.

Software Review 52

Software Review Mobile Weak Development Team Software 52

RapidValue

FEBRUARY 8, 2021

This service is serverless and scalable and also notifies developers whenever there is a change to the data model. Additionally, it also monitors the changes to data in the source data stores, and when the changes do occur, Elastic Views updates the target data store automatically.

AWS 52

AWS Serverless Open Source Machine Learning 52

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Business Data Analytics Using Python , February 27. Scalable Concurrency with the Java Executor Framework , March 12. Scalable Programming with Java 8 Parallel Streams , March 27. AI and machine learning.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Altexsoft

DECEMBER 28, 2018

But, generally the unambiguous benefits of serverless architecture are: Lower costs and scalability. Maintaining no servers means hiring no DevOps engineers for maintenance or buying specific hardware. It seems to perform well, but its main purpose is to monitor microservice applications , rather than functions.

Serverless 68

Serverless Azure AWS Architecture 68

ParkMyCloud

AUGUST 29, 2019

In the last step, you set up a processing pipeline to automate transcription and NLP analysis, and run analytics and visualizations on the results. ARC201 – Comparing serverless and containers – Microservices are a great way to segment your application into well-defined, self-contained units of functionality.

AWS 12

AWS How To Serverless Microservices 12

LaunchDarkly

JANUARY 17, 2019

“We’re very laser-focused on making the developer extremely successful and happy and comfortable, comfortable that we’re reliable, comfortable that we’re scalable, comfortable that we can handle their load. We have customers like IBM who use us to manage microservices. JM: Logi Analytics is an embedded business intelligence tool.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

High Scalability

NOVEMBER 25, 2019

Python used to power client-side code, certain microservices, migration scripts, internal scripts. Learn to keep one or two service templates to implement microservices and don’t go wild on using different tech stack for each service. Kubernetes. OpenTSDB/bosun. Apache FTP server. SOA architecture based on REST APIs.

Architecture 21

Architecture Data Center Software Review Storage 21

O'Reilly Media - Ideas

MARCH 12, 2019

Almost as old as O’Reilly itself, Radar has a history of playing a key role in the development and amplification of influential themes, including open source , Web 2.0 , big data , DevOps , Next Economy , and others. Analysis of the O’Reilly online learning platform shows growing engagement with cloud, orchestration, and microservices topics.

Artificial Inteligence 10

Artificial Inteligence Blockchain Architecture Artificial Intelligence 10