Dzone - DevOps

JUNE 30, 2022

A properly managed and implemented observability system provides DevOps with granular insights that can be used to debug and heal complex systems. Today, containers and microservices are emerging as the cornerstone of a flexible hybrid cloud strategy. Let’s take a look! Kubernetes at Its Boom.

Tools 74

Tools Microservices Data Center Metrics 74

Dzone - DevOps

JULY 30, 2021

Service mesh technology emerged with the popularization of microservice architectures. Microservice applications are distributed over multiple servers, data centers, or continents, making them highly network-dependent.

Network 98

Network Microservices Data Center Architecture 98

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

SEPTEMBER 30, 2022

The cloud-native approach offers the best features, such as service meshes, immutable infrastructure, declarative APIs , microservices and containers. Microservices. Microservices is considered an architectural strategy capable of managing complex applications simply. Key principles of cloud-native architecture.

Applications 52

Applications Cloud Software Review Microservices 52

Kentik

JANUARY 31, 2023

We’ll look at how, by combining DevOps observability data with network telemetry, you can get strong, network-focused observability. After identifying and categorizing the relevant KPIs, you need to gather data about these KPIs. In your own data centers, you will need to choose, install, and configure network monitoring tools.

Network 105

Network Analysis Data Center Metrics 105

d2iq

MAY 9, 2022

A smart cloud-native business application consists of a number of components, including microservices, data services, and AI/ML pipelines. Smart Cloud-Native Challenges Organizations that want to build smart cloud-native apps must also learn how to deploy those workloads in the cloud, in data centers, and at the edge.

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. When he saw the costs of the infrastructure, networking, and other cloud resources he asked, “Why would we ever do anything in our own data center again?”. Last but not least is cloud optimization.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

xmatters

NOVEMBER 15, 2021

There can be a variety of reasons why systems fail: software bugs, misconfiguration or interactions between services that cause unexpected behavior, the network is down, and of course, those rare occasions where natural events can render data centers inoperative.

Software Review 98

Software Review Systems Review Microservices Testing 98

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

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

RapidValue

JANUARY 31, 2021

If you’re into Microservices , then you must have heard about these two terms – API Gateway and Service Mesh, several times. East-west traffic is the indication of a traffic flow inside a data center, Kubernetes cluster, or a distributed system. Building Microservices using API Gateway.

Microservices 40

Microservices Applications Authentication Architecture 40

CircleCI

SEPTEMBER 22, 2021

Microservice architecture. In microservice architecture, developers build an application as a collection of discrete services (modules) with an efficient communication protocol binding them together. In a microservice, this means breaking down your application into its constituent services. Distributed systems best practices.

Systems Review 59

Systems Review System Microservices SOA 59

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. But in whose network?

WAN 40

WAN Cloud Data Center DevOps 40

Daniel Bryant

MARCH 10, 2020

Speed and stability, platforms, and full cycle development The emergence of “cloud native” technologies and practices, such as microservices, cloud computing, and DevOps, has enabled innovative organisations to respond and adapt to market changes more rapidly than their competitors. Operators built and managed data centers.

Cloud 52

Cloud SDLC Microservices Quality Assurance 52

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. It ingests this data from a myriad of sources but one of the largest contributors is the log files associated with our applications.

Data 189

Data How To Metrics Artificial Intelligence 189

Openxcell

NOVEMBER 27, 2023

They are thus able to make better use of their infrastructure and expand the scope of their data centers. The difference is that it is now hosted in a cloud data center, which is based on the latest hardware technology, which is maintained by the provider, not your IT department.

Strategy 52

Strategy Tools Cloud Disaster Recovery 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. An Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

Palo Alto Networks

FEBRUARY 19, 2021

These organizations are looking beyond short-term benefits and investing in a cloud foundation to increase competitiveness, so as to accommodate technologies such as artificial intelligence (AI), advanced data analytics, IoT and edge computing. Therefore, more entities within production and the application lifecycle need to be protected.

Enterprise 73

Enterprise Cloud Serverless Artificial Intelligence 73

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

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

LaunchDarkly

SEPTEMBER 17, 2018

It’s about like way of thinking when you take large-scale data centers, information, like data centers whatever. Our infrastructure is mostly based on Microservice architecture, okay? We are more interested in the microservice and application, okay? Uh with up-layer, cache-layer, database-layer, etc.

Architecture 53

Architecture Microservices Infrastructure Course 53

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. This microservices architecture—with APIs providing connective tissue between the services—allows for easier scaling of an application.

Load Balancer 53

Load Balancer Microservices DevOps Infrastructure 53

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

Altexsoft

JULY 4, 2022

An infrastructure engineer is a person who designs, builds, coordinates, and maintains the IT environment companies need to run internal operations, collect data, develop and launch digital products, support their online stores, and achieve other business objectives. Agile and DevOps methodologies. Key components of IT infrastructure.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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 89

Artificial Inteligence Trends Artificial Intelligence Microservices 89

Tenable

APRIL 24, 2023

The 2021 Cloud Native Computing Foundation survey , which polled more than 2,000 DevOps professionals worldwide, revealed that 91% of respondents are using Kubernetes in production, a significant increase from the 58% who reported doing so in 2018. Here’s what you need to know.

Software Review 52

Software Review Policies Systems Review Technical 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. An automotive marketplace, when migrating from on-premises data centers to the cloud, needed to move data in small increments to check for errors.

Open Source 109

Open Source Continuous Delivery Testing Automotive 109

ParkMyCloud

MARCH 21, 2019

While some listed seem to stretch the idea of an announcement – customer case studies, for example – others were more interesting, ranging from Google Cloud Functions (serverless) to Istio for microservices management to resource-based pricing. DevOps in a Serverless World. An Insider’s Look: Google’s Data Centers.

Google Cloud 44

Google Cloud Cloud Serverless Conference 44

O'Reilly Media - Ideas

JANUARY 25, 2021

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. Operations or DevOps or SRE. Cloud computing has replaced data centers, colocation facilities, and in-house machine rooms. 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. For more than two decades, large-scale data centers and private WANs have been the backbone of business operations.

WAN 40

WAN Weak Development Team IoT Internet 40

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

Loom Systems

OCTOBER 31, 2018

The across-the-board enthusiasm for -and appropriation of- DevOps, containers, microservices, cloud, SD-WAN, low-code/no-code platform, and numerous other quickly rising approaches are all confirmation of these endeavors.

Technical Review 43

Technical Review Software Review Systems Review WAN 43

Tenable

NOVEMBER 29, 2022

Due to the open nature, users are required to configure additional security controls to restrict access to sensitive data. Depending on the web application cloud resources usage, data exposure can arise from different sources: Development and CI/CD-based files: CI/CD DevOps tools automate application builds and deployments.

Applications 52

Applications Cloud Software Review Systems Review 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and multi-cloud also provide flexible data management, governance, compliance, availability, and durability. Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. It eliminates upfront capital costs and avoids the risk of infrastructure vendor lock-in.

Cloud 49

Cloud AWS Azure Data Center 49

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

O'Reilly Media - Ideas

DECEMBER 7, 2021

Only 7% are data professionals (analysts, data scientists, or statisticians), and only 6% are operations staff (DevOps practitioners, sysadmins, or site reliability engineers). No CIO wants to build an on-premises data center that can handle 100x changes in load. 21% are architects or technical leads.

Cloud 134

Cloud eCommerce Azure Google Cloud 134

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