OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Consider the development team’s expertise.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Consider the development team’s expertise.

Enterprise 130

Enterprise Applications Development Scalability 130

AWS Machine Learning - AI

AUGUST 8, 2024

The architecture is built on a robust and secure AWS foundation: The architecture uses AWS services like Application Load Balancer , AWS WAF , and EKS clusters for seamless ingress, threat mitigation, and containerized workload management. Ravi’s expertise includes microservices, containerization, AI/ML, and generative AI.

Generative AI 111

Generative AI Artificial Inteligence AWS Machine Learning 111

Cloudera

APRIL 26, 2023

It offers features such as data ingestion, storage, ETL, BI and analytics, observability, and AI model development and deployment. Reduced cost by optimizing compute utilization to run more analytics with the same hardware allocation. What is cloud native exactly? This is exactly how the platform was designed from the ground up.

Cloud 64

Cloud Data Load Balancer Storage 64

Confluent

OCTOBER 10, 2019

Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. In some scenarios, the main challenge and requirement is to ingest data into Kafka for further processing and analytics in other backend systems. MQTT Proxy for data ingestion without an MQTT broker. HTTP(S) Proxy is push based.

IoT 20

IoT Internet Weak Development Team Scalability 20

Palo Alto Networks

JUNE 4, 2019

Security analytics: Along with security governance and compliance assurance, Prisma Public Cloud integrates with VPC flow logs to provide useful insight into east-west and north-south traffic flows by correlating data with various security intelligence sources.

Google Cloud 59

Google Cloud Network Cloud Load Balancer 59

Kentik

FEBRUARY 7, 2023

This might mean a complete transition to cloud-based services and infrastructure or isolating an IT or business domain in a microservice, like data backups or auth, and establishing proof-of-concept. Either way, it’s a step that forces teams to deal with new data, network problems, and potential latency.

Network 59

Network Cloud Data Data Center 59

Netflix Tech

DECEMBER 14, 2018

Integration with other Netflix Systems In the Netflix microservices environment, different business applications serve as the system of record for different media assets. Different metrics can be used to configure a continuous deployment platform, such as Spinnaker for load balancing and auto-scaling for NMDB.

Media 97

Media Systems Review Storage Performance 97

Kentik

MARCH 13, 2018

Hyperscale data centers are true marvels of the age of analytics, enabling a new era of cloud-scale computing that leverages Big Data, machine learning, cognitive computing and artificial intelligence. Which services or microservices are being accessed? To further complicate matters: These workloads are highly distributed and dynamic.

Data Center 40

Data Center Artificial Inteligence Data Load Balancer 40

Palo Alto Networks

NOVEMBER 12, 2019

Security analytics: Along with security governance and compliance assurance, Prisma Cloud integrates with VPC flow logs to provide useful insight into east-west and north-south traffic flows by correlating data with various security intelligence sources.

Google Cloud 8

Google Cloud Cloud Firewall Load Balancer 8

LaunchDarkly

SEPTEMBER 13, 2018

So internally, Netflix canaries, lots of different things, not just microservices, I think, like binary pushes to microservices are the dominant use case, but it’s not the only use case inside of Google. So here’s that same conceptual overview of what a typical canary deployment for microservice looks like.

Analysis 58

Analysis Performance Metrics Microservices 58

Palo Alto Networks

JUNE 4, 2019

Security analytics: Along with security governance and compliance assurance, Prisma Public Cloud integrates with VPC flow logs to provide useful insight into east-west and north-south traffic flows by correlating data with various security intelligence sources.

Google Cloud 40

Google Cloud Network Cloud Load Balancer 40

Mobilunity

DECEMBER 19, 2024

Storage optimization strategies are also significant in large datasets management, including product catalogs and customer analytics. Balancing compliance and cost efficiency in the Insurtech Industry Insurtech companies increasingly use AWS to boost advanced analytics, AI-driven risk models, and customer-centric platforms.

Budget 52

Budget AWS Strategy Cloud 52

CIO

DECEMBER 10, 2024

Its used for web development, multithreading and concurrency, QA testing, developing cloud and microservices, and database integration. Azure Microsoft Azure is another widely used cloud computing service deployed for cloud infrastructure management, data analytics, artificial intelligence, machine learning, and network virtualization.

UI/UX 203

UI/UX Enterprise Artificial Inteligence Database Administration 203

Altexsoft

JULY 4, 2022

communication skills, strong problem-solving and analytical skills, strategic thinking, and. designing secure networks, creating hybrid, cloud-native, microservices, and serverless architectures , delivering infrastructure as code, deploying Oracle databases, migrating on-premises resources to the Oracle cloud, and.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Openxcell

DECEMBER 27, 2021

offers complete load balancing, and its runtime environment follows a cluster module. Highly flexible for microservice development. For microservice architecture, multiple module execution and development are required. Some of the major reasons for choosing Python are its speed, data analytics, and reliability.

Technical Review 52

Technical Review Technology Software Review Open Source 52

Instaclustr

OCTOBER 14, 2019

I attended this talk as I’m from a middleware background, and I’m very interested in trends around microservices and integration. Finally, Kai suggested that once Kafka is introduced into an enterprise as a data integration pipeline, new microservice components can be developed which just interact with Kafka. Kai Waehner. Apache Druid.

Technical Review 36

Technical Review Technology Report Open Source 36

Instaclustr

OCTOBER 14, 2019

I attended this talk as I’m from a Middleware background, and I’m very interested in trends around microservices and integration. Finally, Kai suggested that once Kafka is introduced into an enterprise as a data integration pipeline, new microservice components can be developed which just interact with Kafka. Kai Waehner. Apache Druid.

Technical Review 28

Technical Review Technology Report Open Source 28

LaunchDarkly

JANUARY 17, 2019

We have customers like IBM who use us to manage microservices. JM: They’re doing load balancing via feature flags? EH: Quality balancing too. JM: Logi Analytics is an embedded business intelligence tool. Create, deploy and constantly improve your analytic applications that engage users and drive revenue.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Confluent

FEBRUARY 13, 2019

Do I need to use a microservices framework? Core function: Building the event streaming model for item bid activity and analytics. We’ve quickly learned through microservices and SOA with the traditional model that RPC-based systems don’t scale, and managing state and correctness also doesn’t scale.

Architecture 92

Architecture Programming Microservices Serverless 92

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. Over the next year, Pouria’s team expanded the analytics dashboard, adding in more metrics and more interactive features. Figure 1: Screenshot of the GOV.UK

Azure 99

Azure Open Source Software Review Analytics 99

High Scalability

NOVEMBER 25, 2019

Load Balancers / Reverse Proxy. 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. How do you handle load balancing?

Architecture 21

Architecture Data Center Software Review Systems Review 21