Datavail

JANUARY 23, 2024

By leveraging the wide variety of benefits of AWS’s robust and powerful infrastructure and solutions, your business can substantially improve performance, reduce cost expenditure, and much more. This scalability can improve performance, flexibility, and reliability.

AWS 55

AWS Disaster Recovery Scalability Resources 55

Honeycomb

MARCH 18, 2020

While the first-generation Graviton processor that powered A1 instances was better suited to less compute-intensive workloads, this processor is intended to offer AWS customers a compelling alternative to conventional x86-powered instances on both performance and cost. Some architectural context. The machine booted and I could ssh in!

Load Balancer 135

Load Balancer AWS Architecture Testing 135

Linux Academy

FEBRUARY 26, 2019

Each month, we will kick off our community content with a live study group, allowing members of the Linux Academy community to come together and share their insights in order to learn from one another. March Study Group Course: Linux Operating System Fundamentals – Have you heard of Linux, but don’t really know anything about it?

Linux 80

Linux AWS Big Data Course 80

Tenable

NOVEMBER 25, 2022

Perform penetration tests and use static and dynamic application security testing tools. Ensure your cloud databases and storage are properly secured with strong authentication requirements and properly configured. Cloud storage data exfiltration. System vulnerabilities . Accidental cloud data disclosure.

Metrics 52

Metrics Cloud Backup Software Review 52

d2iq

JULY 11, 2022

1) Integrated Enterprise-Grade Cloud-Native Stack Organizations require a broader set of services for their production operations, such as security, networking, storage, and more. We back that up by conducting mixed workload validation and performance testing to ensure enterprise-ready operation of your Kubernetes stack of services.

Open Source 81

Open Source Artificial Inteligence Infrastructure Load Balancer 81

Cloudera

MAY 22, 2018

Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis. track model metrics, performance, and any model artifacts the user specifies. now extends the platform experience from research to production.

Data 41

Data Load Balancer Machine Learning Artificial Inteligence 41

AWS Machine Learning - AI

MARCH 28, 2024

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

Artificial Inteligence 105

Artificial Inteligence Generative AI AWS Load Balancer 105

Honeycomb

SEPTEMBER 20, 2018

To do that, you’ll have to load balance Logstash, deploy multiple parallel data nodes in Elastic, install and run something like Apache Kafka to avoid data loss if your traffic is bursty…and this will all be your responsiblity. All storage nodes are unreachable from the internet.

Software Review 63

Software Review Load Balancer Systems Review Internet 63

Kentik

MARCH 27, 2017

These datacenters each have multiple BGP Internet peerings to facilitate resilience and performance. Service components and dependencies are spread across datacenters, the cloud, and the Internet, and applications involve increased east-west traffic flows, which makes end-to-end performance heavily reliant on predictable network behavior.

Enterprise 40

Enterprise Policies Analytics Architecture 40

AWS Machine Learning - AI

APRIL 24, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Artificial Inteligence 101

Artificial Inteligence Lambda Generative AI Knowledge Base 101

Cloudera

DECEMBER 2, 2021

ensure your SLAs are met – via compute isolation, autoscaling, and performance optimizations. CDW has long had many pieces of this security puzzle solved, including private load balancers, support for Private Link, and firewalls. Create a resource group for CDP from the Microsoft Azure portal. Network Security.

Azure 125

Azure Load Balancer Firewall Data 125

Xebia

DECEMBER 21, 2022

While AWS is responsible for the underlying hardware and infrastructure maintenance, it is the customer’s task to ensure that their Cloud configuration provides resilience against a partial or total failure, where performance may be significantly impaired or services are fully unavailable. Pilot Light strategy diagram. Backup and Restore.

Disaster Recovery 130

Disaster Recovery AWS Strategy Backup 130

The Crazy Programmer

JULY 25, 2020

Resource group – Here you have to choose a resource group where you want to store the resources related to your virtual machine. Basically resource groups are used to group the resources related to a project. NIC network security group – It consists of the security rules that we want to apply on our network.

Azure 249

Azure Virtualization Windows Data Center 249

Cloudera

APRIL 26, 2023

It offers features such as data ingestion, storage, ETL, BI and analytics, observability, and AI model development and deployment. Secondly, it uses Apache Yunikorn, a modern, enterprise-grade resource scheduler for Kubernetes, enhancing resource utilization and providing strong user, group, and application isolation.

Cloud 65

Cloud Data Load Balancer Storage 65

ParkMyCloud

SEPTEMBER 30, 2019

There are other “services” involved, such as networking, storage and load balancing, when looking at your overall bill. Flocks of these instances spun up from a snapshot according scaling rules are called “auto scaling groups” in AWS. The similar concept can be created within GCP using “instance groups”.

Google Cloud 11

Google Cloud AWS Cloud Sustainability 11

CircleCI

JULY 29, 2020

A “backend” in Terraform determines how state is loaded and how an operation such as apply is executed. This abstraction enables non-local file state storage, remote execution, etc. These are a core grouping primitive in Kubernetes. It specifies the type of Terraform Backend. In this code block, we’re using the remote backend.

Software Review 135

Software Review Infrastructure Load Balancer Google Cloud 135

Kentik

FEBRUARY 20, 2023

Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

Honeycomb

AUGUST 17, 2023

Compliance and audit workloads require 100% data completeness over much longer (or “infinite”) time spans, and are content to give up query performance in return. You can create a data lifecycle that handles long-term storage. User experience comparison This isn’t a way to get Honeycomb-like performance from S3.

AWS 98

AWS Software Review Compliance Data 98

Openxcell

JUNE 9, 2023

Each service emphasizes performing a determined task or function of the application. For example:- payment processing, user authentication, and data storage. To explain better, let’s look at a generic example; suppose it is a group of specialists working to accomplish one big goal. Implementing Microservices with Node.js

Microservices 52

Microservices Software Review How To Systems Review 52

Altexsoft

SEPTEMBER 21, 2023

You can leverage Elasticsearch as a storage engine to automate complex business workflows, from inventory management to customer relationship management (CRM). Data Node stores data and performs data-related operations like search and aggregation. Indices Indices are like categories under which similar types of documents are grouped.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Honeycomb

MAY 23, 2022

As we shared at re:Invent 2021 , we had the chance to take a little sneak peek under the Graviton3 hood to find out what even more performance will mean for Honeycomb and our customers. Can we move our workload over safely, knowing we can always go back if we don’t see meaningful gains in performance and cost?

AWS 88

AWS Lambda Architecture Testing 88

Cloudera

JANUARY 21, 2022

Next, authorization mechanisms are applied to assign privileges to users and user groups. A secure CDP cluster will feature full transparent HDFS Encryption, often with separate encryption zones for the various storage tenants and use cases. AuditRanger provides a full audit trace of all actions performed by Ranger KMS.

Architecture 110

Architecture Data Authentication Policies 110

Honeycomb

JUNE 1, 2023

Benefits Service boundary transitions are measured Infrastructure issues can correlate with trace performance Still fairly simple and low overhead Drawbacks A lot of service configurations to coordinate (e.g., These are commonly used for virtual network, service mesh, storage controllers, and other infrastructure-layer containers.

Load Balancer 109

Load Balancer Metrics Network Cloud 109

Cloudera

OCTOBER 20, 2020

Many of these are performance improvements, such as the feature described below which will give anywhere from a 2x to 7x performance improvement by taking better advantage of all the CPU cores. Performance Improvements with Apache Impala’s New Multithreading Model (20 executors, mt_dop=12). the build output ids are shown in red.

Storage 104

Storage Software Review Performance Analytics 104

Confluent

MAY 7, 2019

Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. Consumers and consumer groups. Consumers typically perform multiple fetches in parallel internally and accumulate data.

Data 111

Data Groups Scalability Windows 111

Coveros

AUGUST 31, 2021

Assuming it holds up, you promote your microservice to different environments, where it gets exposed to other batteries of tests: dev, test, QA, performance, staging, pre-production, and whatever else you call it. In Kubernetes, you maintain a “cluster”—a group of servers that work together to host all the containers you run.

Microservices 52

Microservices DevOps How To Weak Development Team 52

Netflix Tech

DECEMBER 14, 2018

A specific media analysis that has been performed on various media assets (e.g., Figure 1: NMDB DataStore semantics We have chosen the namespace portion of a DS definition to correspond to an LDAP group name. In principle, a graph database can answer arbitrary queries and promises optimal query performance for joins.

Media 94

Media Systems Review Storage Performance 94

Altexsoft

MARCH 25, 2021

What network or performance constraints they will be dealing with? High performance. Now, how does it achieve such performance? They use numbers, not field names, to save storage. When we go into more detail, more problems need solving. Who will be using your API? Lightweight messages. Built-in code generation.

Microservices 75

Microservices Weak Development Team Comparison Load Balancer 75

Gorilla Logic

JANUARY 31, 2020

To easily and safely create, manage, and destroy infrastructure resources such as compute instances, storage, or DNS, you can save time (and money) using Terraform , an open-source infrastructure automation tool. Application Load Balancer: It redirects and balances the traffic to my ECS cluster. Enter a value: Enter yes.

Infrastructure 64

Infrastructure AWS Software Review How To 64

Kentik

MARCH 6, 2019

Let’s first review a few basic Kubernetes concepts: Pod: “A pod is the basic building block of Kubernetes,” which encapsulates containerized apps, storage, a unique network IP, and instructions on how to run those containers. Sometimes, 1 & 2 are grouped as “pod networking” and 3 & 4 as “service networking.”. Pod-to-pod.

Network 63

Network Microservices .Net Load Balancer 63

High Scalability

OCTOBER 24, 2022

A group advocating for fair licensing. The larger point is there is a large competitive market amongst a group of competing enterprises. Nitro is a revolutionary combination of purpose-built hardware and software designed to provide performance and security. My answers are no and no, but probably not for the reasons you think.

Cloud 75

Cloud Infrastructure Weak Development Team Hardware 75

Codegiant

JULY 2, 2020

You can use live logs to see how your builds perform in real-time through colors and emoji. Also, GitHub’s storage limit on the free plan can be a bit low. GitLab comes with multiple integrations, LDAP group sync filters, SAML SSO for groups, and LDAP support. Analyze your tasks’ performance. Check more here.

Software Review 52

Software Review Open Source Systems Review AWS 52

Instaclustr

SEPTEMBER 9, 2021

Some common use cases for Elasticsearch include log analysis, full-text search, application performance monitoring, SIEM, etc. Lucene is an open source, high-performance search library built with Java, and acts as the basis of some of the popular search engines such as Apache Solr, Apache Nutch, OpenSearch, and Elasticsearch.

Architecture 55

Architecture Metrics Scalability Analytics 55

Confluent

FEBRUARY 13, 2019

With the event-driven streaming architecture, the central concept is the event stream, where a key is used to create a logical grouping of events as a stream. To determine which partition is used for storage, the key is mapped into a key space. Event-driven, streaming architecture. Materialized views scaling against a stream.

Architecture 89

Architecture Programming Microservices Serverless 89

ParkMyCloud

DECEMBER 13, 2019

It offers rightsizing for the M, C, R, T, and X instance families and Auto Scaling groups of a fixed size (with the same values for desired/min/max capacity). Looking at how they perform relative to the current M5 family, AWS described the following performance improvements: HTTPS load balancing with Nginx: +24%.

AWS 11

AWS Machine Learning Artificial Inteligence Load Balancer 11

Confluent

SEPTEMBER 20, 2019

A distributed streaming platform combines reliable and scalable messaging, storage, and processing capabilities into a single, unified platform that unlocks use cases other technologies individually can’t. In the same way, messaging technologies don’t have storage, thus they cannot handle past data.

Software Review 21

Software Review Technical Review Storage Cloud 21

Confluent

OCTOBER 10, 2019

Some specific use cases are: Connected car infrastructure: cars communicate with each other and the remote datacenter or cloud to perform real-time traffic recommendations, prediction maintenance, or personalized services. Long-term storage and buffering. Example: Audi. Apache Kafka as an event streaming platform. High throughput.

IoT 20

IoT Internet Weak Development Team Scalability 20