This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Arista Networks has added loadbalancing and AI job-centric observability features to core software products in an effort to help enterprise customers grow and effectively manage AI networked environments. Arista has also bolstered its CloudVision management package to better troubleshoot AI jobs as they traverse the network.
Fortinet has melded some of its previously available services into an integrated cloud package aimed at helping customers secure applications. Managing application security across multiple environments isn’t easy because each cloud platform, tool, and service introduces new layers of complexity.
Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Tableau Tableau is a popular software platform used for data analysis to help organizations make better data-driven decisions.
New to the platform is Juniper Apstra Cloud Services, a suite of cloud-based, AI-enabled applications for the data center, released along with the new 5.0 support which application flows,” wrote Ben Baker, senior director, cloud and data center marketing and business analysis at Juniper, in blog post. “App/Service
For example, if a company’s e-commerce website is taking too long to process customer transactions, a causal AI model determines the root cause (or causes) of the delay, such as a misconfigured loadbalancer.
To balance speed, performance and scalability, AI servers incorporate specialized hardware, performing parallel compute across multiple GPUs or using other purpose-built AI hardware such as tensor processing units (TPUs), field programmable gate array (FPGA) circuits and application-specific integrated circuit (ASIC).
Bridge is one of Kyndryl’s major services offerings, which include consulting, hybrid cloud, security, and applications services. What makes it unique is how we’ve created, or how we stitched together, organizational information, systems, applications, and more. [It Cloud Computing, Networking
Cloudant’s JSON cloud-based data service allows mobile and web developers to quickly and easily store and access the explosion of mobile data using an application programming interface (API) that is significantly easier to use than alternatives. Analysis Big Data CTO' The acquisition of Cloudant is expected to close in 1Q14.
Expanding the Cloud - Introducing AWS OpsWorks, a Powerful Application Management Solution. Today Amazon Web Services launched AWS OpsWorks , a flexible application management solution with automation tools that enable you to model and control your applications and their supporting infrastructure. Comments ().
Amazon SWF is an orchestration service for building scalable distributed applications. Often an application consists of several different tasks to be performed in particular sequence driven by a set of dynamic conditions. Application developers must coordinate multiple distributed components to get the desired results.
Researchers from Zafran have identified a critical misconfiguration in Web Application Firewalls (WAF) from major providers, including those from Akamai, Cloudflare, and Imperva. The misconfiguration stems from a lack of proper validation between backend web applications (origin servers) and the CDN layer.
This is a liveblog of the DockerCon 2017 Black Belt session led by Thomas Graf on Cilium , a new startup that focuses on using eBPF and XDP for network and application security. Graf points out that there is another session by Brendan Gregg on using BPF to do analysis performance and profiling. What is XDP?
Distributed denial-of-service (DDoS) attacks aim to overwhelm a target's application or website, exhausting the system's resources and making the target inaccessible to legitimate users. While DDoS attacks are relatively simple to execute, they are frequently used by threat actors and can be a real thorn in the side of an organization.
From financial processing and traditional oil & gas exploration HPC applications to integrating complex 3D graphics into online and mobile applications, the applications of GPU processing appear to be limitless. The different stages were then loadbalanced across the available units. Amazon DynamoDB â??
Even if attendees don’t have the sort of immediate scaling needs that Williams may be describing in this session, he believes that the lessons/fundamentals he discusses are applicable to lots of customers, lots of applications, and lots of use cases. Further, scaling up doesn’t address availability or redundancy.
I’d like to share some of these learnings with you, focusing on WebRTC stress testing: #1 – WebRTC stress testing comes in different shapes and sizes When developing a WebRTC application, there comes a point in time when you need to scale that application – make sure it works for more users, in more locations, in more ways.
Have you ever wondered how your computer can perform multiple tasks at lightning-fast speeds, even when you’re running multiple applications simultaneously? This can be especially useful for applications that involve complex calculations or require real-time data processing. What is parallel processing?
Application streams. AWS Certified Solutions Architect – Associate level has two new labs: Building a Serverless Application. Implementing an Auto Scaling Group and ApplicationLoadBalancer in AWS. This week, we’re diving into brand new DevOps courses. Red Hat Enterprise 8. Improved security.
All you have to worry about it is the application that runs on the database. This includes MapReduce, Spark, and Presto, and is a managed service that allows customers to pull data from S3, HDFS, or MapR to do analysis without having to worry about the details of managing and optimizing a cluster. Where is FanDuel’s application now?
Kamal Kyrala discusses a method for accessing Kubernetes Services without Ingress, NodePort, or loadbalancers. His points are spot-on: making the control plane highly available isn’t going to improve the availability or scalability of your applications. Operating Systems/Applications. Virtualization.
This makes them ideal for supporting complex machine learning and deep learning applications that require substantial processing power and parallel computing capabilities. Applications in machine learning and AI Advanced cloud GPU servers have a wide range of applications in machine learning and AI.
Machine learning deployment is a crucial step in bringing the benefits of data science to real-world applications. In every case, a deployed model is associated with an application that fulfills a particular use case. This approach is best suited for applications that require periodic updates and can tolerate some delay in results.
The Pivotal Engineering blog has an article that shows how to use BOSH with the vSphere CPI to automate adding servers to an NSX loadbalancing pool. The New Stack has a decent analysis of this latest move and the potential impact it will have on the container ecosystem. Operating Systems/Applications. Docker Inc.
Speaking of Ivan, he pointed out this post with 45 Wireshark challenges to help you improve your network analysis skills. Operating Systems/Applications. Here’s a Windows-centric walkthrough to using Nginx to loadbalance across a Docker Swarm cluster. This is a view shared by Ivan Pepelnjak.) Excellent stuff!
Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. So if you ever wanted to learn the basics of working with Git, this is the course for you.
Second, CoreOS recently announced Clair , their new container vulnerability analysis service designed to work hand-in-hand with their registry, Quay.io. Operating Systems/Applications. More on Clair from TechCrunch here.). Major Hayden has an article on using Ansible to secure OpenStack hosts. In case you missed it, Docker 1.9
The end result came from internal analysis and Latisys’ suggestions.”. There’s a lot of business intelligence and data warehousing that require a lot of horsepower, as well as application/web servers and other applications dedicated to handling massive email volumes. A lot of providers won’t let us in their plans.
But when it comes to migrating to the cloud, many software vendors and CSPs in the past decade have taken a 'lift-and-shift' approach, which involves taking modular applications and containerizing them in the belief that they are cloud-ready. It is therefore vital to assess application performance before taking the plunge.
Golub calls out a few particular sessions—protein folding, data analysis in sports, and extending a video game—and then unveils that these sessions are being presented by kids under the age of 13. Golub begins his portion with a quick “look back” at milestones from previous Docker events and the history of Docker (the open source project).
By running applications in parallel with real-time traffic routing, teams can gain insights into performance and functionality before fully committing to updates. This enables organizations to make informed decisions, enhancing both application reliability and user satisfaction. What is shadow deployment? What is shadow deployment?
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content