xmatters

NOVEMBER 15, 2021

As infrastructure stacks grow increasingly complex and involve an ever-growing number of services, system failures are becoming more and more common. In the face of these threats, companies are switching towards a microservices architecture for increased service availability and resilience to failure. That doesn’t sound very appealing.

Software Review 98

Software Review Systems Review Microservices Testing 98

d2iq

MAY 9, 2022

Kubernetes provides a layer of abstraction that enables data scientists to access the services they require without worrying about the details of the underlying infrastructure. Kubernetes provides a single way to manage the many components of an AI/ML pipeline across disparate infrastructures.

Cloud 114

Cloud Open Source Artificial Inteligence Data Center 114

Linux Academy

JANUARY 26, 2019

Cloud computing is not just about having virtual servers in an off-premises data center. Many organizations, such as Capital One and Salesforce, utilize cloud infrastructures to reduce costs and increase capacity to meet growing demand. There is no doubt that the pay-as-you go model has impressed many organizations.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Palo Alto Networks

FEBRUARY 19, 2021

According to Gartner’s latest IT spending forecast, the amount spent on cloud system infrastructure will reach $81 billion by 2022 (from about $63 billion in 2020). Additional data indicates that, of organizations currently using cloud services, 70% plan to increase their cloud spend.

Enterprise 76

Enterprise Cloud Serverless Artificial Intelligence 76

Openxcell

NOVEMBER 27, 2023

A cloud migration involves moving an organization’s digital assets, IT resources, services, databases, and applications from an on-premises legacy infrastructure into a public cloud hyperscale environment such as AWS, GCP, or Azure. Data migration involves moving both data and analytics workloads.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

Kentik

APRIL 9, 2018

Ensuring application and network performance looms as a critical concern in environments where a new generation of IT software and computing infrastructure spans multiple geographically distributed data centers and a mix of public and private networks, including SD-WAN overlays.

WAN 40

WAN Cloud Data Center DevOps 40

Palo Alto Networks

MAY 15, 2020

Application codes developed as containers are highly portable and can run anywhere across virtual machines, hard servers in data centers and across private or public clouds. In a recent 451 Research VotE study DevOps practices, more than half of the. You can see the full infographic on data center transformation here.).

Security 53

Security Data Center Policies Virtualization 53

CircleCI

SEPTEMBER 22, 2021

In the distributed computing software architecture model, independently-developed objects and components make up an application connected by network infrastructure. This network infrastructure enables and manages communication between the functions regardless of their network location. Microservice architecture.

Systems Review 59

Systems Review System Microservices SOA 59

Trigent

APRIL 14, 2022

From an IT/networking perspective, distributed enterprises always moved away from a centralized IT infrastructure to connected islands to maximize convenience, networking and efficiency, faster access, and localized control. AIOps will be very much a requirement for the DevOps teams.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Kentik

MARCH 7, 2018

However, in this post and the next, I’d like to take a closer look at the unique challenges of managing network performance inside the new generation of hyperscale data centers supporting the delivery of cloud-scale applications. applications. applications. Management consultants designated the term “Industry 4.0” Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

OverOps

AUGUST 14, 2018

It has become a standard in the data center. Splunk does so by investigating machine data – the digital exhaust created by the systems, technologies, and infrastructure powering business. This especially becomes a stress point with the introduction of microservices.

Data 189

Data How To Metrics Artificial Intelligence 189

Tenable

APRIL 24, 2023

The use of Kubernetes introduces complexity to the modern attack surface and requires a different approach to security than traditional IT infrastructure. Kubernetes requires a different approach to security than traditional IT infrastructure. Here’s what you need to know.

Software Review 52

Software Review Policies Systems Review Technical Review 52

Exadel

MARCH 18, 2020

Partial replatforming with microservices provides a less risky approach and can easily lead to a complete re-platform over time, without a huge upfront budget. When calculating the R in ROI ensure that you include cost savings from shutting down data centers, third party hosting, and co-location facilities that you currently use.

Technical Review 52

Technical Review Software Review Systems Review Cloud 52

O'Reilly Media - Ideas

SEPTEMBER 9, 2019

Kubernetes allows DevOps teams to automate container provisioning, networking, load balancing, security, and scaling across a cluster, says Sébastien Goasguen in his Kubernetes Fundamentals training course. Containerizing an application and its dependencies helps abstract it from an operating system and infrastructure. Efficiency.

Load Balancer 54

Load Balancer Microservices DevOps Infrastructure 54

O'Reilly Media - Ideas

DECEMBER 7, 2021

Two-thirds of respondents (67%) reported using a public cloud; 45% are using a private cloud; and 55% are using traditionally managed on-premises infrastructure. Only 5% are engaged in “repatriation” (bringing cloud applications back to on-premises infrastructure). 20% plan ti migrate all of their applications. 8% are managers.

Cloud 138

Cloud eCommerce Azure Google Cloud 138

LaunchDarkly

SEPTEMBER 17, 2018

Daniel Mor, Systems Operations Engineer at Waze, gave a talk about monitoring infrastructure. Watch his talk below to learn more about how his small team manages real-time infrastructure based on a miscroservice architecture that receives high volumes of traffic. Our infrastructure is mostly based on Microservice architecture, okay?

Architecture 53

Architecture Microservices Infrastructure Course 53

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. 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.

Data 84

Data Disaster Recovery Analytics Microservices 84

O'Reilly Media - Ideas

JANUARY 25, 2021

While we can’t compare in-person conference data with virtual event data, we can make a few observations. The most successful superstream series focused on software architecture and infrastructure and operations. Operations or DevOps or SRE. The term “DevOps” has fallen on hard times.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

Kentik

FEBRUARY 27, 2018

Many large businesses already have DevOps teams deploying new microservices-based applications in public cloud infrastructure. How are they able to diagnose network problems that might span the cloud provider’s infrastructure, the public Internet, enterprise networks and service provider access networks?

WAN 40

WAN Weak Development Team IoT Internet 40

Tenable

NOVEMBER 29, 2022

Web applications deployed on cloud infrastructures can suffer the same vulnerabilities as applications deployed on-premises. However, the impact of these vulnerabilities can be more severe on cloud infrastructures as an attacker may be able to reach other cloud resources. Common web application vulnerabilities. Insecure APIs.

Applications 52

Applications Cloud Software Review Systems Review 52

LaunchDarkly

JUNE 10, 2020

The Accelerate: State of DevOps Report outlines the characteristics of high performing organizations. Test new microservices or third-party tags in production for interoperability testing. Experiments are one way of learning about our software, infrastructure, users, and systems. Why use feature flags?

Open Source 109

Open Source Continuous Delivery Testing Automotive 109

DevOps.com

JANUARY 11, 2019

trillion in 2018 on digital transformation technologies such as public cloud platforms, microservices and containers, edge computing, machine learning and artificial intelligence to improve […]. Enterprises spent $1.3 The post 5 Trends Transforming Digital and IT Operations Management appeared first on DevOps.com.

Artificial Inteligence 105

Artificial Inteligence Trends Artificial Intelligence Microservices 105

Exadel

DECEMBER 19, 2019

In a project environment with numerous services or applications that need to be registered and stored in data centers, it’s always essential to constantly track the status of these services to be sure they are working correctly and to send timely notifications if there are any problems. A tool we use for this is Consul. About Consul.

DevOps 10

DevOps Load Balancer Data Center Open Source 10

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

Kentik

MARCH 28, 2018

microservices). Moving from statically deployed applications to DevOps, CI/CD development models. Migrating from a central internal data center to a hybrid multi-cloud environment. All those teams are going to use the data differently, however. Relentless growth of traffic volume and network elements.

Network 40

Network Data WAN Technical Review 40

StubHub

NOVEMBER 5, 2018

Using the Pivotal Cloud Foundry (PCF) platform as a service (PaaS) in private data center ? Auto-scaling microservices clusters to drive higher utilization ? Hybrid deployment allows services to incrementally move to microservices. For each respective team, we’ve found that they look like this: Ops ?

Architecture 40

Architecture Weak Development Team SDLC Microservices 40

RapidValue

FEBRUARY 8, 2021

Introduced during Andy Jassy’s keynote address, Amazon ECS and EKS Anywhere enable users to run ECS and EKS in their own data centers. AWS Proton is another exciting service that helps manage and automate code deployments and infrastructure provisioning for applications that are serverless and container-based. AWS Trainium.

AWS 52

AWS Serverless Open Source Machine Learning 52

Altexsoft

DECEMBER 14, 2022

delivering microservice-based and cloud-native applications; standardized continuous integration and delivery ( CI/CD ) processes for applications; isolation of multiple parallel applications on a host system; faster application development; software migration; and. Common Docker use cases. Typical areas of application of Docker are.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

BPM

JANUARY 18, 2019

The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait Customer demand for solutions built on lean, loosely coupled BPM microservices will skyrocket. wait did I just do that. Scott Menter BP Logix [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

FEBRUARY 19, 2019

Will it work with my infrastructure? Software tools differ in their infrastructure management. The responsibility for deploying and maintaining them rests solely on your shoulders, or rather on your in-house DevOps team. They also hold an annual conference DevOps World | Jenkins World. How hard is it to learn?

Continuous Integration 90

Continuous Integration Comparison Weak Development Team Software Review 90

CIO

JANUARY 26, 2023

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. Its CloudSpend tool will extract data from cloud spreadsheet bills and aggregate it to provide a useful, actionable level of understanding.

Tools 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

LeanEssays

JULY 14, 2019

It took some years to evolve to a software architecture that supported such teams, but eventually small, independent services owned by two-pizza teams made up the core of Amazon’s infrastructure. At the heart this approach to infrastructure are the core strategies of isolation, redundancy, fault detection, and automation.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91

High Scalability

NOVEMBER 25, 2019

Egnyte Connect platform employs 3 data centers to fulfill requests from millions of users across the world. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. On prem data processing. Data interdependence.

Architecture 21

Architecture Data Center Software Review Storage 21