Mobilunity

DECEMBER 26, 2024

Decompose these into quantifiable KPIs to direct the project, utilizing metrics like migration duration, savings on costs, and enhancements in performance. Think about refactoring to microservices or containerizing whenever feasible, to enhance performance in the cloud setting. lowering costs, enhancing scalability). How to prevent it?

AWS 52

AWS Cloud Weak Development Team DevOps 52

The Citus Data

JULY 18, 2023

Schema-based sharding gives an easy path for scaling out several important classes of applications that can divide their data across schemas: Multi-tenant SaaS applications Microservices that use the same database Vertical partitioning by groups of tables Each of these scenarios can now be enabled on Citus using regular CREATE SCHEMA commands.

Microservices 98

Microservices Metrics Open Source IoT 98

CIO

JANUARY 26, 2023

See Azure Cost Management , Google Cloud Cost Management , and AWS Cloud Financial Management tools for the big three clouds. The dashboard produces a collection of infographics that make it possible to study each microservice or API and determine just how much it costs to keep it running in times of high demand and low.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

Altexsoft

DECEMBER 28, 2018

Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. Azure Functions by Microsoft. Azure Functions offers a similar set of services to Amazon, with a focus on the Microsoft family of languages and tools.

Serverless 68

Serverless Azure AWS Architecture 68

Altexsoft

OCTOBER 27, 2020

Cloud services like Azure and AWS became a standard way for DevOps projects to set the infrastructure. In a microservice architecture , dozens of containers will be interconnected making up the app. Microsoft Azure. If, for some reason, major tools don’t fit your needs, check also GitHub workflows , Circle CI , and Azure.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

Linux Academy

MAY 28, 2019

Implement And Manage Application Services (Azure)- This course provides instructions on how to manage and maintain the infrastructure for the core web apps and services developers build and deploy. To use Docker Compose to deploy Microservices to Docker. Docker Deep Dive In this course we will cover Docker 18.09.4,

Linux 104

Linux AWS Azure Technical Review 104

The Citus Data

SEPTEMBER 22, 2023

And if you use the Citus on Azure managed service, the answer is yes, Postgres 16 support is also coming soon to Azure Cosmos DB for PostgreSQL. My Microsoft colleague Melanie Plageman added a new view called pg_stat_io to PostgreSQL 16, which shows essential I/O metrics for in-depth examination of I/O access patterns.

Load Balancer 135

Load Balancer Azure Testing Microservices 135

CIO

NOVEMBER 29, 2023

If you choose not to use a cloud provider’s native services in order to remain agnostic, you lose many of the ‘better, cheaper, faster’ business case metrics,” says Holcombe. And while Kubernetes is an industry standard, implementations of it, such as Azure Communication Services and Google Kubernetes Engine, don’t work identically.

Cloud 187

Cloud Technical Review Software Review Systems Review 187

Perficient

JANUARY 6, 2023

One of the big drivers of adopting containers to deploy microservices is the elasticity provided by platforms like Kubernetes. Refine the metric to minimize the number of pods running. Supports CPU and memory-based scaling out-of-the-box but supports custom metrics as well. Introduction. Understand these principles.

Metrics 83

Metrics Testing Azure Applications 83

Datavail

JUNE 9, 2020

Microsoft Azure services such as Azure SQL Database and Azure HDInsight. Microservices. Microservices is a trendy development architecture that separates the different components of an application into multiple connected services. Oracle services such as Oracle Database Cloud and OCI Object Storage. Conclusion.

Innovation 59

Innovation Microservices Azure Big Data 59

Perficient

MARCH 13, 2023

Openshift Monitoring manages the collection and visualization of internal metrics like resource utilization, which can be leveraged to create alerts and used as the source of data for autoscaling. A less-know feature is the ability to leverage Cluster Monitoring to collect your own application metrics.

Serverless 83

Serverless Azure Metrics AWS 83

Linux Academy

JUNE 25, 2019

We’ll build a foundation of general monitoring concepts, then get hands-on with common metrics across all levels of our platform. Azure CLI Essentials. This beginner-level course teaches the essentials of using the Azure CLI to manage your Azure environment using the command line. Azure Concepts.

Linux 60

Linux Course Cloud Google Cloud 60

Daniel Bryant

OCTOBER 24, 2018

In order to effectively build cloud native microservices applications, your engineering organization has to adopt a culture of decentralized decision-making to move faster. In a competitive market, the engineering teams that can address user needs and iterate the fastest will typically gain the biggest market share.

Microservices 40

Microservices System Weak Development Team Engineering 40

Altexsoft

FEBRUARY 11, 2020

Pros include: Supports cloud monitoring in AWS and Azure. It features dynamic dashboards for tracking metrics of cases, recording response progress, and automating response tasks. MozDef is a set of microservices that you can use in combination with Elasticsearch as a SIEM. Includes compliance mapping. GRR Rapid Response.

Tools 109

Tools Linux Analysis Open Source 109

Altexsoft

APRIL 22, 2021

When you’re employing a lot of APIs to digitize, adopt a microservices architecture, or build your business strategy around APIs, you need to control not just one aspect of your APIs, but their full life cycle, including such tasks as: Defining API schemas and publishing them. When you’re adopting a microservices architecture.

Microservices 64

Microservices Weak Development Team Analytics Software Review 64

CloudGeometry

FEBRUARY 7, 2022

Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics. On the other hand, the cost profile, access patterns, and agility of another microservice may necessitate using a Pool model. The tenants can then access compute resources (Lambda or Azure Functions, etc.)

Architecture 130

Architecture Policies Resources Construction 130

Datavail

APRIL 6, 2022

For example, refreshing your.NET applications makes it much easier to adopt modern IT best practices such as cloud computing and microservices. Selecting the right metrics. Data security, too, can be a crucial business metric. Looking to move your legacy.NET apps to the Microsoft Azure cloud? We can help.

Azure 52

Azure Metrics Test-Driven Development Applications 52

Cloudera

JUNE 16, 2022

Application integration and microservices: Real-time integration use cases required applications to have the ability to subscribe to these streams and integrate with downstream systems in real-time. The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities.

Data 88

Data Disaster Recovery Analytics Microservices 88

Kentik

JANUARY 29, 2020

SNMP is used to collect metadata and metrics about a network device. AWS VPC Flow Logs, Google VPC Flow Logs, and Azure NSG Flow Logs) which should be part of all flow strategies. As organizations adopt microservices architectures, they are most often deploying on top of orchestration platforms built on top of Kubernetes.

Network 16

Network Data Center Construction Architecture 16

Kentik

NOVEMBER 7, 2018

Dynamically orchestrated” and “microservices-oriented” are key aspects of “cloud-native” architecture that make this especially challenging. Moreover, the logs also store information like timestamps, performance metrics (e.g. Microsoft Azure - Flow Logging & Virtual Network TAP. Working With Flow Logs.

Cloud 53

Cloud Azure AWS Google Cloud 53

Mobilunity

DECEMBER 5, 2024

Managing the expenses of cloud providers such as AWS, Azure, and Google Cloud has become a major difficulty for modern businesses. Effectively managing costs is crucial for sustainable growth as businesses depend more on platforms such as AWS, Azure, and Google Cloud. Why is effective cloud cost management so important?

Cloud 52

Cloud Strategy Technical Review Database Administration 52

Perficient

JULY 20, 2023

One of the most important design decisions when configuring autoscaling is selecting the right metrics to use for the scaling rules – each system is unique, and while some applications may require heavy compute, others may need more memory or storage to operate efficiently. Docker) allows for better resource utilization.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

Kentik

JANUARY 29, 2020

SNMP is used to collect metadata and metrics about a network device. AWS VPC Flow Logs, Google VPC Flow Logs, and Azure NSG Flow Logs) which should be part of all flow strategies. As organizations adopt microservices architectures, they are most often deploying on top of orchestration platforms built on top of Kubernetes.

Network 78

Network Data Center Construction Architecture 78

ParkMyCloud

MAY 7, 2019

It is no surprise the top cloud providers that are investing in a major way on serverless include AWS, Microsoft Azure, and Google Cloud. Microsoft Azure Functions enables you to run code-on-demand without having to explicitly provision or manage infrastructure. In brief, here is how they approach serverless computing.

Serverless 58

Serverless Lambda Google Cloud Azure 58

O'Reilly Media - Ideas

MAY 1, 2019

60 Minutes to Better Product Metrics , July 10. Deploying Container-Based Microservices on AWS , June 10-11. Exam AZ-103: Microsoft Azure Administrator Crash Course , June 12-13. Microservices Caching Strategies , June 17. Microservice Fundamentals , July 10. Microservice Collaboration , July 11.

Course 59

Course Training Artificial Inteligence Machine Learning 59

John Snow Labs

APRIL 29, 2025

Enterprise-Grade Security: Runs securely on-prem, in air-gapped environments, or via cloud marketplaces (AWS/Azure). OPA for user access control: Open Policy Agent (OPA) is integrated with CVAT as a microservice that makes policy decisions based on queries sent by CVAT. Just hit Improve Test Results and let it work.

Artificial Inteligence 52

Artificial Inteligence Training Tools Generative AI 52

Honeycomb

NOVEMBER 6, 2018

Serverless applications are becoming more popular, thanks to AWS Lambda , Azure Functions , and other serverless platforms. Thundra collects and correlates all your metrics, logs, and traces, allowing you to quickly identify problematic invocations and also analyzes external services associated with that function.

Serverless 45

Serverless Lambda AWS Metrics 45

Kentik

JUNE 14, 2023

An engineer standing in front of a console today stares at the traffic moving from their on-prem data center up and out to a CASB, receiving DNS responses from a cloud-provided DNS service, and then on through an ephemeral microservices architecture in a public cloud. And this, of course, is just to reach the front end.

WAN 59

WAN Enterprise Data Center Internet 59

Modus Create

JUNE 20, 2023

All major cloud providers (AWS, Azure, Google Cloud) provide serverless options, with AWS Lambda being the most popular serverless computing platform. You can think of them as microservices but for UI. Now, product development teams can use these key results as their guiding metrics and ensure their day-to-day work aligns with them.

Trends 75

Trends Development Serverless Technical Review 75

CircleCI

MAY 27, 2022

The leading offerings are AWS Lambda , Azure Functions , and Google Cloud Functions , each with many integrations within the associated ecosystems. They are ideal for providing API endpoints or microservices. Most cloud providers offer serverless functions, which they may refer to as functions as a service (FaaS). What are containers?

Serverless 52

Serverless Applications Technical Review Microservices 52

Linux Academy

JUNE 28, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. Whether you are aggregating log files, system resource utilization metrics, or application data, Splunk is there to centralize your IT data for easy search and visualization. Use Docker Compose to deploy Microservices to Docker.

Course 60

Course DevOps Training Linux 60

The Agile Monkey

NOVEMBER 27, 2018

A “Traditional” Microservice Architecture for a Catalog It wasn’t that long ago that we were talking about decomposing monoliths into microservices (in fact we still are!). If we can’t get performance comparable to a microservice architecture then we’re doing something wrong (or AWS is). Monitoring/Metrics/Alerting?—?CloudWatch

Serverless 40

Serverless AWS Architecture Microservices 40

Instaclustr

AUGUST 19, 2021

The primary providers are Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Looking at Metrics. Metrics can be viewed through the Instaclustr Console and additionally via the Instaclustr API. You will then be able to view metrics including CPU usage, disk usage, reads/sec, writes/sec, and more.

Metrics 46

Metrics Authentication Open Source Enterprise 46

CircleCI

MARCH 22, 2021

This is where using the microservice approach becomes valuable: you can split your application into multiple dedicated services, which are then Dockerized and deployed into a Kubernetes cluster. When moving to more distributed architectures, such as microservices, you will end up with some caching instances regardless. Automate first.

Applications 59

Applications Load Balancer Software Review Storage 59

Altexsoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. The performance consists of two main metrics — throughput and latency.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Kentik

NOVEMBER 15, 2017

With an infrastructure that’s pervasively instrumented for actual network performance metrics, the above issues disappear. You might deliver an Internet-facing service from AWS, Azure, or GCE. Or possibly you have a microservices architecture with distributed application components.

Metrics 40

Metrics Internet WAN Network 40

Confluent

JULY 31, 2019

If you prefer fully managed services in the cloud, Confluent Operator also supports services from all major cloud providers, including Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (Amazon EKS), and Azure Container Service (AKS). Brokers overview: provides an at-a-glance view of key Kafka metrics.

Open Source 19

Open Source Authentication Cloud Resources 19