d2iq

APRIL 12, 2023

Kubernetes Scales All Businesses The Ticketmaster presale fiasco also highlights the need for enterprises to be able to scale on the back end. According to our recent Enterprise Kubernetes report , three-quarters (75%) of enterprises are using Kubernetes for production (40%) and development or pre-production (35%).

Scalability 81

Scalability Infrastructure Enterprise Google Cloud 81

d2iq

AUGUST 29, 2022

The adoption and maturation of Kubernetes has been rapid, driven by organizations moving to cloud-native infrastructures to modernize and gain agility. The Kubernetes growth trajectory reached a climax in 2021 as The Cloud Native Computing Foundation (CNCF) declared it “the year Kubernetes crossed the chasm.”

Survey 87

Survey Artificial Inteligence Serverless Artificial Intelligence 87

O'Reilly Media - Ideas

MAY 2, 2023

a 12B parameter model that is entirely open source and has been trained with data that is independent of the GPT models (unlike Alpaca and other small LLMs). The model and its training data are available on GitHub and HuggingFace. This could be a big step forward in GPT-4’s accuracy, at least for programming tasks.

Artificial Inteligence 106

Artificial Inteligence Trends ChatGPT Open Source 106

Cloudera

MAY 5, 2021

By leveraging the Gang Scheduling feature, Spark jobs scheduling on Kubernetes becomes more efficient. Apache YuniKorn (Incubating) is a new Apache incubator project that offers rich scheduling capabilities on Kubernetes. This is a common requirement for machine learning workloads, such as TensorFlow. What is Gang Scheduling?

Resources 135

Resources Groups Policies Applications 135

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Perficient

DECEMBER 2, 2022

Having the right data strategy is critical to get access to the right information at the right time and place. Processing data on-site allows you to react to events near real-time and propagating that data to every part of your organization will open a whole new world of capabilities and boost innovation. Data Collection.

IoT 69

IoT Systems Review Software Review Industry 69

CIO

NOVEMBER 17, 2022

Digital workplace, automation and ‘IT as consultants’ Drake highlights THG’s digital workplace and automation initiatives as her team’s most notable achievements over the last year, alongside its Ingenuity Compute Engine (ICE), through which THG is hoping to build ‘hyperscaler experiences’ across more than 50 data centres.

Sport 239

Sport Technology Weak Development Team Leadership 239

DevOps.com

OCTOBER 29, 2019

In the age of big data, businesses are inundated with data points. While they know there’s an abundance of valuable resources available to them, making sense of this data to derive actionable insights is often still a challenge.

Business Intelligence 56

Business Intelligence Big Data Survey Enterprise 56

Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . CDP data lifecycle integration and SDX security and governance. Key features of CDP Data Engineering.

Data Engineering 126

Data Engineering Azure Engineering Enterprise 126

The Citus Data

FEBRUARY 8, 2023

with built-in Citus support The big news for users who want to run Citus outside of Azure is that the latest release of the most popular high availability (HA) solution for PostgreSQL, Patroni 3.0 , comes with built-in Citus support ! The Citus 11.2 Before we dive in, two important things to know about the new Citus release.

Azure 114

Azure Open Source Storage Groups 114

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data 98

Data Technical Review Storage Systems Review 98

Datavail

JANUARY 13, 2021

Encrypt your sensitive data and data at rest: As an enterprise-grade edition, Percona gives you many ways to protect your data. Encrypt your sensitive data and data at rest: As an enterprise-grade edition, Percona gives you many ways to protect your data. Flexible data schemas. Hot backups.

Backup 98

Backup Open Source Storage Enterprise 98

Linux Academy

MARCH 28, 2019

A big reason is the proliferation of micro-services based applications in highly redundant and highly available cloud infrastructures. Add to that a desire for most enterprises to integrate cloud based workloads with legacy on-premises applications, and we have complex hybrid cloud deployments to deal with as the result.

Artificial Inteligence 60

Artificial Inteligence Metrics Machine Learning Linux 60

Altexsoft

JULY 2, 2020

Kubernetes is a popular open source container orchestration platform, used by many organizations throughout the world. Kubernetes is feature-rich, providing the controls needed for managing the deployment of enterprise-grade applications. However, Kubernetes is also very complex and difficult to learn and operate.

Technical Advisors 78

Technical Advisors Technical Review Systems Review Firewall 78

Perficient

MAY 23, 2023

Information technology (IT) typically refers to the use of computers, software, and networks for managing and processing data and information. It encompasses areas such as enterprise resource planning (ERP) systems, data analytics, cybersecurity, cloud computing, and communication networks.

Technology 59

Technology Artificial Inteligence IoT Azure 59

RapidValue

AUGUST 4, 2020

There is an accumulation of outdated data like reports and log files. It requires setting up process and workflows, deep expertise, and the right data. Minimize data transfer costs. Make sure your object storage and compute services are in the same region because data transfer is free in the same region. Utilize Heatmaps.

Cloud 92

Cloud How To Azure AWS 92

The Citus Data

MARCH 31, 2023

And we are honored that Simon Willison and Marco Slot will be keynoting Citus Con 2023, to talk about: Big Opportunities in Small Data , by Simon Willison, creator of Datasette and co-creator of Django. And yes, Citus Con is virtual again this year! So what’s on the schedule at Citus Con: An Event for Postgres 2023 , exactly?

Azure 85

Azure Open Source Virtualization Software Engineering 85

Cloudera

SEPTEMBER 2, 2021

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. fixed sized clusters).

Data Engineering 83

Data Engineering Performance Engineering Data 83

Bernd Rucker

APRIL 20, 2022

“Process instances started per second” is easy to measure, but this number does not tell you if those processes can be completed, or if you simply start a big wave of instances that pile up. We packaged both as Java applications and allowed to configure, deploy and scale them via Kubernetes. Yeah for reactive programming!

How To 95

How To Metrics Engineering Hardware 95

Trigent

MARCH 24, 2021

74% of CIOs were reportedly using cloud-native technologies, including microservices, containers, and Kubernetes, and 61% said these environments changed every minute or less. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps. What is AIOps?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

MARCH 24, 2021

74% of CIOs were reportedly using cloud-native technologies, including microservices, containers, and Kubernetes, and 61% said these environments changed every minute or less. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps. What is AIOps?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Lacework

SEPTEMBER 9, 2022

In order to help with these familiar challenges, the big three cloud CSPs all have published their version of a cloud adoption framework. Moving infrastructure from like-to-like (VMWare Cloud to VMWare Cloud or Kubernetes to Kubernetes) falls under relocate, and is again straightforward. . Cloud adoption. Steps to maturity.

Cloud 57

Cloud Serverless Google Cloud DevOps 57

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?”. 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

Kentik

AUGUST 11, 2017

Disney is also showing big money, reportedly paying $1.6 And how much of your home data is getting capped? AWS Joins the Cloud Native Computing Foundation (TechCrunch) Amazon announced AWS is now part of the Cloud Native Computing Foundation (CNCF), the open-source home of the Kubernetes project. Disney Nabs BAMTech in $1.6B

Big Data 40

Big Data Network Data Open Source 40

Existek

JANUARY 11, 2022

At some point, cloud computing has changed how to streamline business processes and deal with data in general. List of the Content. Azure vs AWS market share. What is Microsoft Azure used for? What is Amazon AWS used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better? In conclusion.

Azure 52

Azure AWS Cloud How To 52

CIO

JANUARY 26, 2023

Cost containment is a big issue for many CIOs now and the cloud companies know it. See Azure Cost Management , Google Cloud Cost Management , and AWS Cloud Financial Management tools for the big three clouds. They’re designed to work with multiple clouds and build reports that unify the data for easy consumption.

Tools 291

Tools Cloud Artificial Inteligence Artificial Intelligence 291

Cloudera

FEBRUARY 8, 2023

For convenience purposes I chose to limit the scope of this exercise to a specific function that prepares the data prior to the churn analysis. appName( "Churn Analysis Data Preparation Test Harness" ) .getOrCreate() json('data/df_baseline') stayed_baseline.write.mode("overwrite").json('data/stayed_baseline') distinct().collect()

Lambda 57

Lambda Performance Testing Analysis 57

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. Infrastructure is quite a broad and abstract concept. How is it possible?

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

ProdOps

JUNE 3, 2019

Kubernetes So much has been said and written about K8S (in its abbreviated name); it’s today’s leader when it comes to container orchestration. Leaving the ideas of why and how aside, Kubernetes is a trend , and it’s a massive trend in China: “Kubernetes” trend by region. This “way in” needs to be planned and well prepared for.

AWS 40

AWS Firewall Technical Review Internet 40

RapidValue

SEPTEMBER 3, 2019

The rise of Kubernetes epitomizes the transition from Big Data to flexible data and it is evolving from supporting simple, stateless applications to sophisticated data-driven applications. Azure Kubernetes Service or AKS enables you to do that. The Benefits.

Azure 12

Azure Applications Agile Systems Review 12

Hacker Earth Developers Blog

AUGUST 13, 2020

In our fifth episode of Breaking 404 , we caught up with Monica Bajaj, Senior Director of Engineering, Workday to hear out the different biases that exist in tech roles across organizations and how difficult it can get for a woman to reach a senior position, especially in tech. Subscribe: Spotify | iTunes | Stitcher | SoundCloud | TuneIn.

Technical Review 130

Technical Review Part-Time VPE Software Review CTO Coach 130

Cloudera

OCTOBER 14, 2020

A single, unified infrastructure for both majority of batch workloads and microservices. Kubernetes as a de-facto standard for service deployment offers finer control on all of the above aspects compared to other resource orchestrators. Background. Why choose K8s for Apache Spark. Fine-grained access controls on shared clusters.

Policies 114

Policies Resources Systems Review Technical Review 114

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As Every day, huge amounts of data are generated, streamed, and moved in cloud environments.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Infinidat

APRIL 26, 2022

By understanding the nature of workloads over time and in real-time, InfiniBox is continually, automatically, and autonomously adapting for optimal performance even as workloads change. These insights simplify delivery of service levels and minimizes management of costs over the entire data lifecycle. Dev/QA data refresh.

DevOps 98

DevOps Technology Storage SMB 98

CIO

DECEMBER 13, 2022

And you might know that some big, very successful companies rely on it, including LinkedIn, Netflix, The Home Depot, and Apple. They’re very powerful because they ensure data consistency and availability at the same time, and they’re effective and relatively easy to use — as long as your databases are running on the same machine.

Disaster Recovery 148

Disaster Recovery Open Source Data Center Scalability 148

TechCrunch

OCTOBER 21, 2022

According to several cloud investors, startups should prioritize building over optimization — unless it’s going to save them a big chunk of money. Major cloud providers often lure startups with free credit, but they also charge data egress fees later on. Anshu Sharma , angel investor and co-founder/CEO, Skyflow.

Cloud 226

Cloud Survey AWS Storage 226