#AWS Cloud Management
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Unveiling the Power of ServiceNow Hybrid Cloud Management
Businesses are gradually adopting hybrid cloud infrastructures to tackle the advantages offered by both public and private clouds. This dynamic environment provides unmatched cost-effectiveness, scalability, and adaptability. But managing hybrid cloud environments has its own set of difficulties, from operational silos and fragmented visibility to complexity and security issues. Leveraging…

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Abathur

At Abathur, we believe technology should empower, not complicate.
Our mission is to provide seamless, scalable, and secure solutions for businesses of all sizes. With a team of experts specializing in various tech domains, we ensure our clients stay ahead in an ever-evolving digital landscape.
Why Choose Us? Expert-Led Innovation – Our team is built on experience and expertise. Security First Approach – Cybersecurity is embedded in all our solutions. Scalable & Future-Proof – We design solutions that grow with you. Client-Centric Focus – Your success is our priority.
#Software Development#Web Development#Mobile App Development#API Integration#Artificial Intelligence#Machine Learning#Predictive Analytics#AI Automation#NLP#Data Analytics#Business Intelligence#Big Data#Cybersecurity#Risk Management#Penetration Testing#Cloud Security#Network Security#Compliance#Networking#IT Support#Cloud Management#AWS#Azure#DevOps#Server Management#Digital Marketing#SEO#Social Media Marketing#Paid Ads#Content Marketing
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PeopleSoft Cedar Consulting: Revolutionizing Enterprise Solutions with Expertise and Innovation
In the world of enterprise software solutions, PeopleSoft remains a key player, providing organizations with robust tools for managing human resources, finances, supply chains, and more. However, to fully harness the power of PeopleSoft and tailor it to a company's unique needs, businesses often turn to specialized consulting services. One such provider making waves in this space is Cedar Consulting, a firm that offers top-tier expertise in PeopleSoft and helps organizations optimize their use of this powerful software suite.
Understanding PeopleSoft: A Quick Overview
PeopleSoft, originally developed by PeopleSoft Inc., is a comprehensive suite of applications that help businesses manage a variety of operations, from human resource management to financials, supply chain management, and customer relationship management. PeopleSoft has evolved over time, being acquired by Oracle in 2005, but it remains one of the most widely used ERP (Enterprise Resource Planning) solutions worldwide.
Organizations across various sectors continue to rely on PeopleSoft for its scalability, flexibility, and advanced features. However, to ensure that the platform is implemented effectively and aligns with specific business goals, PeopleSoft consulting has become a critical component for success.
What Makes Cedar Consulting Stand Out?
Comprehensive PeopleSoft Services Cedar Consulting offers a wide range of services centered around PeopleSoft, including:
Implementations: Cedar assists organizations in smoothly deploying PeopleSoft applications, ensuring that the systems are configured to meet specific organizational requirements.
Upgrades: As PeopleSoft continually evolves, businesses need to stay up to date with the latest versions and features. Cedar provides seamless upgrade services to help clients transition to newer versions without disrupting business operations.
Customization and Configuration: Cedar’s experts understand that each business has unique needs. They customize PeopleSoft applications to ensure they work optimally for individual clients, improving functionality and integration with other systems.
Support and Optimization: Cedar’s consultants offer ongoing support to help businesses maximize their PeopleSoft investments, addressing issues as they arise and optimizing system performance over time.
Integration: PeopleSoft often needs to integrate with other enterprise systems. Cedar provides integration services to ensure smooth data flow and seamless operations across different software platforms.
Expert Knowledge and Experience Cedar Consulting distinguishes itself through its team of professionals with extensive PeopleSoft experience. Whether it's implementing new PeopleSoft modules, upgrading existing systems, or troubleshooting complex technical issues, Cedar’s consultants bring a wealth of expertise to the table. This deep knowledge ensures that clients receive not only a working solution but one that is efficient, scalable, and cost-effective.
Tailored Solutions One of Cedar Consulting's core strengths is its ability to provide customized solutions. They take the time to understand the unique challenges faced by each client and design strategies that align with specific business objectives. Cedar is particularly adept at making complex PeopleSoft systems more user-friendly and efficient, helping businesses achieve their full potential.
Proven Track Record of Success Cedar Consulting has built a reputation for delivering results. Their success stories span a wide range of industries, from higher education and healthcare to financial services and government. Organizations trust Cedar for their proven ability to optimize and enhance PeopleSoft systems, driving both operational efficiency and strategic growth.
Focus on Long-Term Relationships Cedar Consulting is not just about implementing a system and walking away. Their approach centers on building long-term relationships with clients. They provide ongoing support and consulting, ensuring that PeopleSoft systems continue to meet the evolving needs of the business. This commitment to customer success is what makes Cedar a preferred consulting partner for many organizations.
Benefits of Partnering with Cedar Consulting for PeopleSoft Solutions
Enhanced Efficiency and Productivity Cedar’s deep expertise ensures that businesses get the most out of their PeopleSoft systems, helping streamline workflows and improve productivity. Whether it’s simplifying user interfaces or automating routine tasks, Cedar’s solutions enable organizations to operate more efficiently.
Reduced Costs By optimizing the existing PeopleSoft system, Cedar helps businesses reduce operational costs. Moreover, their experience with system upgrades and integrations ensures that businesses avoid costly mistakes and delays in deployment.
Scalability and Flexibility Cedar Consulting’s solutions are designed to scale with the organization as it grows. Their custom solutions ensure that businesses can add new functionalities or integrate with new systems as needed, without requiring major overhauls.
Improved Decision-Making Cedar’s data-driven approach helps organizations leverage PeopleSoft’s robust reporting and analytics features. By improving access to critical data, businesses can make more informed decisions, whether it’s about financial planning, human resources, or supply chain management.
Ongoing Support Cedar Consulting provides continuous support to its clients, ensuring that their PeopleSoft systems stay up to date, secure, and effective over time. This proactive support helps organizations avoid costly downtime and disruptions.
Conclusion
As businesses continue to navigate the complexities of modern enterprise operations, the need for specialized PeopleSoft consulting services becomes ever more apparent. Cedar Consulting has established itself as a trusted partner for organizations seeking to unlock the full potential of their PeopleSoft systems. With a focus on tailored solutions, expert knowledge, and long-term customer success, Cedar Consulting stands out as a leader in the PeopleSoft consulting space, driving operational efficiency and delivering lasting value for clients.
#amazon web services#amazon sierra#oracle cloud consulting#aws cloud consultant#oracle consulting services#oracle public sector cloud#managed cloud services#oracle consulting#peoplesoft aws hosting#top oracle implementation partners
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The Comprehensive Guide to Web Development, Data Management, and More
Introduction
Everything today is technology driven in this digital world. There's a lot happening behind the scenes when you use your favorite apps, go to websites, and do other things with all of those zeroes and ones — or binary data. In this blog, I will be explaining what all these terminologies really means and other basics of web development, data management etc. We will be discussing them in the simplest way so that this becomes easy to understand for beginners or people who are even remotely interested about technology. JOIN US
What is Web Development?
Web development refers to the work and process of developing a website or web application that can run in a web browser. From laying out individual web page designs before we ever start coding, to how the layout will be implemented through HTML/CSS. There are two major fields of web development — front-end and back-end.
Front-End Development
Front-end development, also known as client-side development, is the part of web development that deals with what users see and interact with on their screens. It involves using languages like HTML, CSS, and JavaScript to create the visual elements of a website, such as buttons, forms, and images. JOIN US
HTML (HyperText Markup Language):
HTML is the foundation of all website, it helps one to organize their content on web platform. It provides the default style to basic elements such as headings, paragraphs and links.
CSS (Cascading Style Sheets):
styles and formats HTML elements. It makes an attractive and user-friendly look of webpage as it controls the colors, fonts, layout.
JavaScript :
A language for adding interactivity to a website Users interact with items, like clicking a button to send in a form or viewing images within the slideshow. JOIN US
Back-End Development
The difference while front-end development is all about what the user sees, back end involves everything that happens behind. The back-end consists of a server, database and application logic that runs on the web.
Server:
A server is a computer that holds website files and provides them to the user browser when they request it. Server-Side: These are populated by back-end developers who build and maintain servers using languages like Python, PHP or Ruby.
Database:
The place where a website keeps its data, from user details to content and settings The database is maintained with services like MySQL, PostgreSQL, or MongoDB. JOIN US
Application Logic —
the code that links front-end and back-end It takes user input, gets data from the database and returns right informations to front-end area.

Why Proper Data Management is Absolutely Critical
Data management — Besides web development this is the most important a part of our Digital World. What Is Data Management? It includes practices, policies and procedures that are used to collect store secure data in controlled way.
Data Storage –
data after being collected needs to be stored securely such data can be stored in relational databases or cloud storage solutions. The most important aspect here is that the data should never be accessed by an unauthorized source or breached. JOIN US
Data processing:
Right from storing the data, with Big Data you further move on to process it in order to make sense out of hordes of raw information. This includes cleansing the data (removing errors or redundancies), finding patterns among it, and producing ideas that could be useful for decision-making.
Data Security:
Another important part of data management is the security of it. It refers to defending data against unauthorized access, breaches or other potential vulnerabilities. You can do this with some basic security methods, mostly encryption and access controls as well as regular auditing of your systems.
Other Critical Tech Landmarks
There are a lot of disciplines in the tech world that go beyond web development and data management. Here are a few of them:
Cloud Computing
Leading by example, AWS had established cloud computing as the on-demand delivery of IT resources and applications via web services/Internet over a decade considering all layers to make it easy from servers up to top most layer. This will enable organizations to consume technology resources in the form of pay-as-you-go model without having to purchase, own and feed that infrastructure. JOIN US
Cloud Computing Advantages:
Main advantages are cost savings, scalability, flexibility and disaster recovery. Resources can be scaled based on usage, which means companies only pay for what they are using and have the data backed up in case of an emergency.
Examples of Cloud Services:
Few popular cloud services are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. These provide a plethora of services that helps to Develop and Manage App, Store Data etc.
Cybersecurity
As the world continues to rely more heavily on digital technologies, cybersecurity has never been a bigger issue. Protecting computer systems, networks and data from cyber attacks is called Cyber security.
Phishing attacks, Malware, Ransomware and Data breaches:
This is common cybersecurity threats. These threats can bear substantial ramifications, from financial damages to reputation harm for any corporation.
Cybersecurity Best Practices:
In order to safeguard against cybersecurity threats, it is necessary to follow best-practices including using strong passwords and two-factor authorization, updating software as required, training employees on security risks.
Artificial Intelligence and Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) represent the fastest-growing fields of creating systems that learn from data, identifying patterns in them. These are applied to several use-cases like self driving cars, personalization in Netflix.
AI vs ML —
AI is the broader concept of machines being able to carry out tasks in a way we would consider “smart”. Machine learning is a type of Artificial Intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. JOIN US
Applications of Artificial Intelligence and Machine Learning: some common applications include Image recognition, Speech to text, Natural language processing, Predictive analytics Robotics.
Web Development meets Data Management etc.
We need so many things like web development, data management and cloud computing plus cybersecurity etc.. but some of them are most important aspects i.e. AI/ML yet more fascinating is where these fields converge or play off each other.
Web Development and Data Management
Web Development and Data Management goes hand in hand. The large number of websites and web-based applications in the world generate enormous amounts of data — from user interactions, to transaction records. Being able to manage this data is key in providing a fantastic user experience and enabling you to make decisions based on the right kind of information.
E.g. E-commerce Website, products data need to be saved on server also customers data should save in a database loosely coupled with orders and payments. This data is necessary for customization of the shopping experience as well as inventory management and fraud prevention.
Cloud Computing and Web Development
The development of the web has been revolutionized by cloud computing which gives developers a way to allocate, deploy and scale applications more or less without service friction. Developers now can host applications and data in cloud services instead of investing for physical servers.
E.g. A start-up company can use cloud services to roll out the web application globally in order for all users worldwide could browse it without waiting due unavailability of geolocation prohibited access.
The Future of Cybersecurity and Data Management
Which makes Cybersecurity a very important part of the Data management. The more data collected and stored by an organization, the greater a target it becomes for cyber threats. It is important to secure this data using robust cybersecurity measures, so that sensitive information remains intact and customer trust does not weaken. JOIN US
Ex: A healthcare provider would have to protect patient data in order to be compliant with regulations such as HIPAA (Health Insurance Portability and Accountability Act) that is also responsible for ensuring a degree of confidentiality between a provider and their patients.
Conclusion
Well, in a nutshell web-developer or Data manager etc are some of the integral parts for digital world.
As a Business Owner, Tech Enthusiast or even if you are just planning to make your Career in tech — it is important that you understand these. With the progress of technology never slowing down, these intersections are perhaps only going to come together more strongly and develop into cornerstones that define how we live in a digital world tomorrow.
With the fundamental knowledge of web development, data management, automation and ML you will manage to catch up with digital movements. Whether you have a site to build, ideas data to manage or simply interested in what’s hot these days, skills and knowledge around the above will stand good for changing tech world. JOIN US
#Technology#Web Development#Front-End Development#Back-End Development#HTML#CSS#JavaScript#Data Management#Data Security#Cloud Computing#AWS (Amazon Web Services)#Cybersecurity#Artificial Intelligence (AI)#Machine Learning (ML)#Digital World#Tech Trends#IT Basics#Beginners Guide#Web Development Basics#Tech Enthusiast#Tech Career#america
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Focus on Your Business: Let Professional IT Services Handle Your Technology Department
For any business to succeed today, its technology infrastructure must be dependable and always operate optimally. Communication, handling data, cybersecurity, and new solutions rely on technology to function in today's world. At the same time, many SMEs find it too costly and demanding to maintain and build an effective IT team within the company. Joining up with expert IT specialists is especially beneficial here, as you are free to focus on essential factors while IT professionals handle everything computer-related. Source URL: https://virtualvivienne.com/focus-on-your-business-let-professional-it-services-handle-your-technology-department/
#managed it services#it services#microsoft 365 consulting#cloud solutions#data backup & ransomware protection#it support#amazon aws consulting#google workspace consulting#it consulting#microsoft azure consulting
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ML-KEM post-quantum TLS in AWS KMS, ACM, And AWS SM

ML-KEM post-quantum TLS supports Secrets Manager, ACM, and AWS KMS.
Amazon Web Services (AWS) is pleased to announce that three services now implement the latest hybrid post-quantum key agreement TLS standards. Each AWS Region supports ML-KEM for hybrid post-quantum key agreement in non-FIPS endpoints via AWS KMS, ACM, and AWS Secrets Manager. Hybrid post-quantum key agreement is optional for the AWS Secrets Manager Agent, based on the Rust SDK. Customers can incorporate secrets in apps using end-to-end post-quantum TLS.
Three AWS security-critical services with the biggest post-quantum secrecy demand were chosen. These three AWS services served CRYSTALS-Kyber, ML-KEM's predecessor. ML-KEM will replace CRYSTALS-Kyber across all AWS service endpoints in 2026.
AWS use of post-quantum encryption
AWS will follow its post-quantum cryptography migration approach. AWS plans to offer ML-KEM across all HTTPS-endpointed AWS services in the next years as part of this pledge and the post-quantum shared responsibility paradigm. Customers connecting to AWS HTTPS endpoints must upgrade their TLS clients and SDKs to enable ML-KEM. This will prevent further harvesting and identify quantum computing risks later. When clients provide ML-KEM, AWS will let HTTPS endpoints pick.
AWS's open-source FIPS-140-3-validated cryptographic library, AWS Libcrypto (AWS-LC), and its open-source TLS implementation, s2n-tls, used across AWS service HTTPS endpoints facilitate hybrid post-quantum key agreement negotiations.
Effect of hybrid post-quantum ML-KEM on TLS performance
An ECDH+ML-KEM hybrid key agreement requires the TLS handshake to deliver more data and perform more cryptographic operations than an ECDH-only key agreement. Switching from a classical to a hybrid post-quantum key agreement will add 1600 bytes to the TLS handshake. ML-KEM cryptographic procedures need 80–150 microseconds more processing time. The initial TLS connection fee is subtracted from the total HTTP requests sent throughout the connection's lifetime.
AWS wants TLS to migrate smoothly to hybrid post-quantum key agreement. To help customers understand the impacts of hybrid post-quantum key agreement with ML-KEM, this study benchmarks typical workloads.
AWS evaluated the number of AWS KMS GenerateDataKey requests per second a single thread can transmit serially between an Amazon EC2 C6in.metal client and the public AWS KMS endpoint using the AWS SDK for Java v2. The client and server were in US-West-2.
Classical TLS connections to AWS KMS utilised the P256 elliptic curve for key agreement, whereas hybrid post-quantum TLS connections used the X25519 with ML-KEM-768. Your performance characteristics will vary depending on your instance type, workload profiles, parallelism and thread utilisation, network location, and capabilities. HTTP request transaction rates were measured with active and disabled TLS connection reuse.
AWS found that hybrid post-quantum TLS with regular SDK configuration settings has negligible performance impact. AWS testing showed that hybrid post-quantum TLS lowered maximum TPS rate by 0.05 percent for a default-case sample workload. The maximum TPS rate was only lowered by 2.3% when SDK settings were modified to force a fresh TLS handshake for each request, according to AWS.
AWS service endpoints that support CRYSTALS-Kyber—ML-KEM's predecessor—will continue to do so through 2025. We will progressively stop supporting CRYSTALS-Kyber installations after clients move to ML-KEM. If they use earlier Java SDKs with CRYSTALS-Kyber support, customers should upgrade to the latest AWS SDK with ML-KEM support. Customers using the general release of the AWS SDK for Java v2 can upgrade from CRYSTALS-Kyber to ML-KEM without code modifications.
After CRYSTALS-Kyber is removed from AWS service HTTPS endpoints in 2026, users that are actively negotiating it and do not upgrade their AWS Java SDK v2 clients will have their clients gradually regress to a traditional key agreement.
A hybrid post-quantum key agreement
If you're using the AWS SDK for Rust, add the rustls package to your crate and enable the prefer-post-quantum feature flag to enable the hybrid key agreement.
Call.postQuantumTlsEnabled(true) to enable hybrid post-quantum key agreement in your AWS Common Runtime HTTP client using the AWS SDK for Java 2.x.
First, add the AWS Common Runtime HTTP client to your Java dependencies.
Your Maven dependencies should include AWS Common Runtime HTTP client. The latest version is recommended by AWS. To utilise ML-KEM, require 2.30.22 or later.
Second, enable post-quantum TLS in your Java SDK client.
Set up your AWS service client with the post-quantum TLS-configured AwsCrtAsyncHttpClient.
Things to try
Tips for utilising this post-quantum client:
Benchmark and load test: AWSCrtAsyncHttpClient uses AWS Libcrypto on Linux and is performance-optimized. If you haven't seen the performance gains over the SDK HTTP client by default, use the AwsCrtAsyncHttpClient. After using AwsCrtAsyncHttpClient, activate post-quantum TLS.
Try joining from several networks: Your request may be refused by intermediary hosts, proxies, or DPI firewalls based on its network path. Your IT administrators or security team may need to update your firewalls to unblock these new TLS methods.
In conclusion
ML-KEM hybrid key agreements are supported by three security-critical AWS service endpoints. When TLS connection reuse is allowed, hybrid post-quantum TLS may have no performance impact. AWS testing showed that executing AWS KMS GenerateDataKey only reduced maximum transactions per second by 0.05 percent.
As of version 2.30.22, the AWS SDK for Java v2 enables ML-KEM-based hybrid key agreement for Linux-based AWS Common Runtime HTTP clients. Turn on TLS post quantum key agreement in your Java SDK client setup immediately.
AWS plans to offer ML-KEM-based hybrid post-quantum key agreement on all AWS service HTTPS endpoints over the next several years as part of its cryptography migration strategy. AWS customers must update their TLS clients and SDKs to ensure ML-KEM key agreement when connecting to AWS service HTTPS endpoints. This will prevent further harvesting and identify quantum computing risks later.
#technology#technews#govindhtech#news#technologynews#cloud computing#ML-KEM#AWS Secrets Manager#ML-KEM post-quantum#post-quantum#hybrid post-quantum#post-quantum TLS
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ZeaCloud Managed Public Cloud – Scalable, Secure Cloud Solutions in India
ZeaCloud’s Managed Public Cloud service provides fully managed cloud infrastructure with end-to-end support across leading platforms like AWS and Microsoft Azure. Businesses benefit from scalable resources, built-in security, cost optimization, and 24/7 monitoring — all customized to meet enterprise IT needs. Whether you're migrating, optimizing, or expanding cloud operations, ZeaCloud ensures a seamless experience backed by certified cloud experts.
Key Features:
Cloud setup, migration & lifecycle management
Integrated with AWS, Azure & more
Pay-as-you-go scalability
24/7 monitoring & support
Security, compliance & performance optimization
for more knowledge, visit: Zeacloud Managed Public Cloud
#managed public cloud#cloud services India#AWS partner India#Azure cloud management#scalable cloud hosting#ZeaCloud cloud solutions#enterprise cloud India#Zeacloud
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Lingping Gao, Founder, CEO and Chairman of NetBrain Technologies – Interview Series
New Post has been published on https://thedigitalinsider.com/lingping-gao-founder-ceo-and-chairman-of-netbrain-technologies-interview-series/
Lingping Gao, Founder, CEO and Chairman of NetBrain Technologies – Interview Series
Lingping Gao, Founder, Chief Executive Officer, and Chairman of NetBrain Technologies, established the company in 2004 with a mission to simplify network management. Prior to founding NetBrain, Mr. Gao was the Chief Network Architect at Thomson Financial, where he managed the complexities of large enterprise networks and experienced the challenges of maintaining network performance.
Mr. Gao has experience within multiple areas of business, including management, engineering, and international business within the networking, software, and automotive industries. He holds a BS and a BA in Automotive Engineering from Tsinghua University and an MS in Engineering from Yale University.
Founded in 2004, NetBrain is the market leader for network automation. Its technology platform provides network engineers with end-to-end visibility across their hybrid environments while automating their tasks across IT workflows. Today, more than 2,400 of the world’s largest enterprises and managed services providers use NetBrain to automate network documentation, accelerate troubleshooting, and strengthen network security—while integrating with a rich ecosystem of partners. NetBrain is headquartered in Burlington, Massachusetts, with employees located across the United States and Canada, Germany, the United Kingdom, India, and China.
What inspired you to start NetBrain in 2004? Were there any specific challenges you faced at Thomson Financial that led you to see a gap in network management?
Early in my career, I spent five years as a network engineer at Thomson Financial. I remember getting pulled into the NOC on my way out of the building one day and spending all night helping troubleshoot a problem. It turns out that a Cisco switch had been upgraded and, it changed an important configuration. I remember wondering why it took so long, even though we had a whole team of smart engineers working on it. Surely, there must be a better way.
I realized that the reason troubleshooting was so difficult was a lack of data. During those long nights, engineers always ask the same few questions. What devices is my network made of? What does the baseline look like? Who made this, and why is it configured this way? I started NetBrain to make it easier to answer those questions.
I knew that if network data was more easily accessible, problems could be solved much more quickly. At that first job, you’d have to take a pager and a stack of network diagrams with you whenever you went on vacation! My vision for NetBrain was to give engineers fast and easy access to the network data they need to solve problems and a way to easily automate their tasks so they can be scaled up and done proactively instead of reactively. If we can catch and fix an issue before it affects an end-user then no one has to spend all night troubleshooting! Now, 20 years later, my vision is coming to fruition with NetBrain.
NetBrain pioneered no-code automation for network management. What was the thought process behind developing a no-code solution instead of traditional scripting or programming-based automation?
We wanted to solve the critical challenges facing network operations teams by lowering the barrier to adopting and using network automation while making it accessible to all levels of IT skillsets. We see automation as harnessing the expertise of network engineers to create automation, making the platform more useful and ingrained in the culture of network operations.
Script-based DIY network automation requires an engineer who knows coding such as Python and has a high level of networking and CLI knowledge. There are just not enough people with that particular skill set (and they’re expensive!). Projects that pair coders with network engineers end up producing relatively few automations that can only address a limited set of problems instead of stopping recurrences.
No-code automation makes it easy enough to deploy and scale automation across hybrid networks that it can be used for many problems – really any repetitive task. This leads to a change in mindset where NetOps and other IT teams will look to automation as their first solution for most problems, rather than a “last resort” reserved for only a few high-priority issues.
AI is increasingly shaping enterprise IT operations. How does AI enhance NetBrain’s network automation capabilities, particularly in troubleshooting and security enforcement?
AI-powered features were a major update in NetBrain’s most recent version, Next-Gen Release 12 (R12). One of these capabilities includes a GenAI LLM Co-Pilot, which can assess, orchestrate, and summarize network automation results using natural language. This AI Co-Pilot serves as a technology translator, enabling users to engage with no-code automation without the need for extensive training. We plan to continue expanding our AI capabilities in upcoming releases.
Our chatbot also functions as a virtual self-service tool, allowing operations and security teams to gather essential network information, thereby conserving valuable NetOps resources for more strategic activities. Users can pose questions in natural language, facilitating intuitive problem resolution and automating troubleshooting, change management, and assessment workflows.
Broadly, we see automation as the way to scale NetOps processes up to machine scale and AI as the way people can interact with those automations and the network overall. Together, they help bridge the knowledge gap within IT teams by capturing years of expert experience and making it available to engineers of all levels. Nearly every enterprise has an engineer who knows how to solve every networking issue. But what do you do when that person is on vacation, in a different country, or unavailable? Automation and AI help share that person’s knowledge with the rest of the IT team without requiring deep engineering and coding skills.
Can you walk us through how NetBrain’s Digital Twin technology works and how it benefits organizations managing hybrid and multi-cloud networks?
NetBrain’s Digital Twin is a live model of a client’s multi-vendor networks that incorporates Intent, traffic forwarding, topology, and device data and supports no-code automation and dynamic maps. Unlike other digital twins, our intent layer houses a large collection of network configurations and service-level designs essential for effectively delivering any and all application requirements.
Another unique feature of our digital twin is that it provides real-time data across all layers, creating a more seamless, integrated system. Our customers are guaranteed live calculations of baseline and historical forwarding paths across multi-cloud and hybrid environments, as well as real-time topology and configurations of traditional, virtual, and cloud-based components with our hybrid network. This, combined with Network Auto-Discovery, removes the necessity of manually creating static network maps and continuously updates every component of the connected multi-vendor network. The benefit of real-time data is the ability to work more efficiently internally without the worry of human error while working in a single device that supports the discovery of traditional, virtual, and cloud-based devices.
Many companies struggle with network downtime and troubleshooting. How does NetBrain’s AI-driven automation help reduce Mean Time to Repair (MTTR)?
NetBrain reduces MTTR by making troubleshooting more efficient and streamlined. Our AI-powered automation does this in several ways:
Automatically create shareable incident summary dashboards.
Conduct automated monitoring to detect troubleshooting issues before they affect a user
Automatically conduct basic diagnostic tests whenever a ticket is opened
Automatically close tickets
Suggest remediations or possible causes for issues
Give other IT teams easier access to network data
Even small time savings compound quickly at scale – one of our customers estimated that NetBrain saved them 16,000 troubleshooting hours in 2022 on about 63,000 tickets by automating a series of routine diagnostic tests. All in all, these capabilities make troubleshooting more efficient and reduce MTTR directly. They also enable level 1 engineers to solve more problems on their own and reduce escalations. This is often called “shifting left.” It frees up more time for senior engineers to spend on more difficult troubleshooting.
With the rise of hybrid cloud and SDN environments, how does NetBrain ensure end-to-end network observability and compliance across diverse infrastructures?
NetBrain ensures comprehensive network observability and compliance across hybrid cloud and SDN environments. We seamlessly support multi-cloud infrastructures like AWS, Microsoft Azure, and Google Cloud Platform, as well as traditional networks, SD-WAN, and SDN deployments.
Our platform enables clients to monitor cloud configuration changes in real time, automate continuous compliance assessments, and track evolving network configurations through an intuitive dashboard. Additionally, NetBrain provides multi-layered security observability, continuously evaluating cloud security across network, server, data, and application layers.
For SDN fabrics, NetBrain enhances visibility and makes SDN knowledge easily shareable across teams. By leveraging automation, organizations can scale SDN expertise while accelerating incident response. Our “Shift Left” approach proactively identifies root causes and resolves data center issues earlier in the network support lifecycle, significantly reducing MTTR.
How has NetBrain adapted to new cybersecurity challenges, especially with growing concerns about network security vulnerabilities?
Cyber threats are evolving rapidly, and traditional, reactive security approaches can no longer keep up. NetBrain has adapted by making network security proactive and automated, helping IT find misconfigurations and vulnerabilities before they can be exploited by attackers.
We offer Triple Defense Change Management, which validates every network change against security policies before, during, and after implementation. This ensures compliance and prevents unintended exposure. Our automation also continuously audits configurations, detects drift, and integrates with ITSM and security platforms to enforce best practices in real-time.
By leveraging AI and automation, NetBrain helps enterprises reduce human error, improve response times, and prevent security gaps, ensuring networks remain secure without adding operational overhead.Given NetBrain’s ability to eliminate outages and improve security enforcement, do you see a future where AI-driven networks become fully autonomous?
As AI-driven networks continue to advance, they are gradually replacing traditional networking methods. However, full autonomy remains a future possibility rather than an immediate reality.
AI plays a crucial role in streamlining NetOps by automating labor-intensive tasks. For example, identifying and cataloging IT infrastructure components—traditionally a time-consuming process—can now be significantly accelerated. With AI-powered Digital Twin technology, tasks like diagnosing a BGP tunnel issue can be reduced from two hours to just ten minutes. AI also helps bridge the knowledge gap within IT teams by capturing and distributing years of expert experience to engineers of all levels. When an issue arises, AI can not only assist with diagnosis but also recommend corrective actions, next steps, and follow-up procedures—dramatically reducing response times and enabling teams to resolve problems faster.
That said, AI still has limitations. While it can analyze data, suggest optimizations, and automate certain processes, it cannot make decisions, take accountability, or approve network changes without human oversight. Given the complexity and high stakes of enterprise networking, AI’s recommendations must be validated by engineers to prevent costly errors and downtime. Until AI can demonstrate greater reliability and contextual decision-making, fully autonomous networks will remain an aspiration rather than a reality.
NetBrain now serves over 2,500 enterprise customers, including one-third of Fortune 500 companies. What do you think has been the key to your success in scaling and gaining enterprise adoption?
Our success comes from fundamentally transforming how enterprises manage their networks. Traditional, reactive troubleshooting no longer scales, so we pioneered no-code network automation to make network operations proactive, not just reactive.
A key differentiator is our Digital Twin, which provides real-time visibility into the entire hybrid network, allowing teams to automate diagnostics, enforce golden engineering standards, and prevent outages before they happen. Combined with our ITSM-integrated troubleshooting and Triple Defense Change Management, enterprises can scale automation across even the most complex environments—without requiring an army of developers.
Ultimately, NetBrain makes automation accessible, enabling teams to resolve issues faster, enforce design intent, and keep business-critical applications running smoothly. Automation combined with accurate network mapping and deeper network insight lets us solve many NetOps challenges without additional overhead.
Looking ahead five years, how do you see the landscape of network automation evolving, and what role do you envision NetBrain playing in shaping the future of AI-driven network operations?
Over the next five years, network automation will move beyond scripted tasks and reactive troubleshooting to AI-driven, intent-based automation that dynamically adapts to changing network conditions. The days of manual diagnostics and fragmented tools are numbered — automation will be the backbone of network operations, ensuring resilience, security, and agility at scale.
AI will make that automation accessible and lower the barrier to usability at all levels in operations. It will make it easier to obtain and tailor network data into digestible and meaningful information so teams can reduce risk and gain efficiencies faster.
NetBrain is at the forefront of this evolution. Our Digital Twin provides a live model of the network, allowing AI to understand its design intent and enforce it proactively. We are pioneering GenAI-driven troubleshooting, self-healing networks, and deeper ITSM integrations so enterprises can shift from manual intervention to fully autonomous operations. Our vision is simple: make network automation intuitive, scalable, and indispensable — turning every engineer into an automation expert without requiring them to code.
In the next few years, AI-driven network operations won’t be a luxury, it will be a necessity. NetBrain is leading that charge, ensuring enterprises stay ahead of complexity while keeping networks secure, compliant, and always available.
Thank you for the great interview, readers who wish to learn more should visit NetBrain.
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Best amazon cloud computing | Fastcurve
Fastcurve is your partner of choice for Amazon cloud computing solutions that will drive operational excellence and innovation. They understand the important role a strong cloud strategy can have, and their team is here to simplify your journey with AWS. Through the innovative implementation of cloud solutions tailored to your specific business needs, they empower you to scale effectively while enhancing security and optimizing costs. Rely on Fastcurve to equip your organization with the tools and expertise necessary to thrive in today’s digital landscape.
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How a Managed Cloud Services Provider Can Boost Your Business Efficiency
In today’s fast-paced, digital world, businesses face pressure to achieve more with less. Efficiency has become a necessity for enhancing customer experiences and streamlining operations. However, attaining this agility can be complex and costly. Managed Cloud Services Providers (MCSPs) step in to alleviate the operational burden of IT infrastructure, security, and application management, allowing internal teams to focus on innovation and strategy. Let’s explore how an MCSP can boost your business efficiency.
Understanding Managed Cloud Services
A Managed Cloud Services Provider offers ongoing management of cloud infrastructure, including computing, storage, networks, and applications. These services are designed to optimize performance, improve security, and ensure reliability across your cloud environment.
Whether you’re hosting web applications on AWS, managing enterprise tools like PeopleSoft, or deploying microservices, an MCSP brings specialized expertise to handle it all behind the scenes.
Strategic Cloud Planning and Execution
Every cloud journey starts with a plan—but not every business has the internal expertise to build and execute one effectively. That’s where having a trusted cloud consultant becomes essential.
For organizations operating within the AWS ecosystem, working with an experienced AWS Cloud Consultant can make all the difference. From architecting secure, scalable cloud environments to identifying the right services and configurations, these consultants streamline the entire process. They ensure your infrastructure supports your business goals while keeping operational costs under control.
Proactive Infrastructure Management
Efficiency isn't just about deploying cloud infrastructure—it's about managing it effectively over time.
Managed service providers continuously monitor your cloud environment, apply patches and updates, manage incidents, and optimize performance. This proactive approach ensures systems stay up-to-date and resilient, reducing the risk of unplanned downtime and performance issues.
Instead of spending valuable internal resources on routine cloud management, businesses can rely on their MCSP to keep operations running smoothly and efficiently.
Enhanced Security and Compliance
Security is a constant concern, especially for businesses dealing with sensitive data or operating in regulated industries.
An MCSP helps enforce strict security protocols, including encryption, access controls, threat detection, and compliance reporting. These providers are well-versed in industry standards like GDPR, HIPAA, and PCI-DSS, helping your business meet compliance requirements without disrupting daily operations.
By offloading security management to professionals, your internal teams can focus on business priorities rather than navigating evolving threat landscapes and regulations.
Streamlined Application Management
For companies using enterprise software like Oracle PeopleSoft, application performance and availability are critical to business operations. However, maintaining and optimizing PeopleSoft environments internally can be both complex and time-intensive.
That’s where PeopleSoft Application Managed Services come into play. Managed service providers with experience in PeopleSoft can take over the routine management, updates, performance tuning, and troubleshooting of the application. This allows HR, finance, and operations teams to rely on a stable and responsive platform without the internal maintenance burden.
These services ensure that your PeopleSoft applications run efficiently, integrate seamlessly with other systems, and remain aligned with your evolving business needs.
Faster Innovation and Time to Market
Innovation often takes a backseat when internal IT teams are bogged down by routine maintenance and firefighting. With a Managed Cloud Services Provider handling the operational workload, your team gains the bandwidth to focus on building, testing, and deploying new features.
Many MCSPs also support DevOps initiatives, helping implement automation, CI/CD pipelines, and infrastructure-as-code. This support accelerates the software development lifecycle and reduces the time it takes to bring products or updates to market.
With faster release cycles and more stable environments, your business can stay ahead of competitors and respond more quickly to customer needs.
24/7 Support and Operational Continuity
Cloud environments operate around the clock—and so should the teams managing them.
Managed service providers typically offer 24/7 support, ensuring that any issues are addressed quickly and efficiently, no matter when they arise. This level of support is essential for global businesses, customer-facing applications, and mission-critical systems.
Knowing that your systems are monitored and supported at all times provides peace of mind and keeps your business running smoothly.
Shifting Focus to Strategic Growth
At the core of it, working with a Managed Cloud Services Provider allows your business to refocus. Instead of getting pulled into cloud infrastructure, patching, and performance issues, your internal teams can concentrate on strategic initiatives like improving customer experiences, expanding product offerings, or entering new markets.
By letting the experts handle the technical details, you gain the freedom and agility to grow faster and operate more efficiently.
Conclusion
Cloud technology has significant potential for businesses when managed effectively. Partnering with a Managed Cloud Services Provider can transform cloud operations into a catalyst for growth. Whether you need PeopleSoft Application Managed Services or assistance from an AWS Cloud Consultant, the right partner can help you act more quickly, spend wisely, and scale with confidence.
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#Remote IoT APIs#IoT Device Management#Google Cloud IoT Core#AWS IoT#Microsoft Azure IoT#ThingSpeak#Losant IoT#IBM Watson IoT#IoT Solutions 2025
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The Right Way To Use Tagging In The Cloud
This came up today at work and I realized that over my now-decades of cloud engineering, I have developed a very specific way of using tags that sets both infra dev teams and SRE teams up for success, and I wanted to share it. Who cares about tags? I do. They are the only persistent source of information you can trust (as much as you can trust anything in this fallen world) to communicate…
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Unlocking Business Potential with AWS Cloud Managed Services: A 2025 Perspective

In the swiftly transforming digital environment of today, enterprises are progressively adopting cloud solutions to foster innovation, enhance scalability, and streamline operations. Within this sphere, AWS Cloud Managed Services distinguish themselves as transformative for organizations across diverse industries. However, what elevates these services to a pivotal role in achieving business success in 2025 and beyond? Let us delve into the realm of AWS Managed Services to examine how they are redefining the future of cloud computing.
The Rise of AWS Cloud Managed Services
As we navigate through 2025, the demand for efficient, secure, and scalable cloud solutions has never been higher. AWS Cloud Managed Services have emerged as a cornerstone for businesses looking to leverage the full potential of cloud computing without the burden of day-to-day management. These services provide a comprehensive suite of tools and expertise that allow organizations to focus on their core competencies while leaving the complexities of cloud infrastructure to the experts.
Key Benefits of AWS Managed Services
AWS Managed Services offer a myriad of advantages that are particularly crucial in today's fast-paced business environment:
Enhanced Security: With cyber threats becoming increasingly sophisticated, AWS Managed Services provide robust security measures, including continuous monitoring, threat detection, and compliance management.
Scalability and Flexibility: Businesses can easily scale their resources up or down based on demand, ensuring optimal performance without unnecessary costs.
Cost Optimization: By leveraging AWS's economies of scale and expertise, companies can significantly reduce their IT infrastructure costs while improving efficiency.
24/7 Support and Monitoring: Round-the-clock support ensures that any issues are promptly addressed, minimizing downtime and maintaining business continuity.
Transforming Industries with AWS Cloud Services
The impact of AWS Managed Services extends across various sectors, revolutionizing how businesses operate:
Healthcare
In the healthcare industry, AWS Cloud Services are empowering providers to deliver patient-centric care with innovative solutions. From secure storage of sensitive patient data to powering telemedicine platforms, AWS is at the forefront of healthcare transformation.
Publishing
Publishers are leveraging AWS Managed Services to streamline content delivery, enhance digital platforms, and analyze reader behavior, leading to more personalized and engaging reading experiences.
Education
Educational institutions are harnessing the power of AWS to create robust e-learning environments, manage vast amounts of research data, and provide seamless access to educational resources for students worldwide.
Choosing the Right AWS Managed Services Provider
While the benefits of AWS Managed Services are clear, selecting the right provider is crucial for maximizing these advantages. Here are some key factors to consider:
Expertise and Experience: Look for providers with a proven track record in AWS cloud management and relevant industry experience.
Comprehensive Service Offerings: Ensure the provider offers a full range of services, from migration and implementation to ongoing management and optimization.
Customization Capabilities: Your provider should be able to tailor solutions to your specific business needs and goals.
Proactive Approach: Choose a partner that takes a proactive stance in managing your cloud infrastructure, anticipating needs, and suggesting improvements.
The Future of Cloud Computing with AWS Managed Services
As we look towards the future, AWS Managed Services are set to play an even more crucial role in driving digital transformation. With advancements in AI and machine learning, we can expect to see more intelligent, automated cloud management solutions that further enhance efficiency and innovation.
The integration of AWS Managed Services with emerging technologies like edge computing and IoT will open up new possibilities for businesses, enabling real-time data processing and analysis at unprecedented scales.
Conclusion
AWS Cloud Managed Services have become indispensable for businesses aiming to thrive in the digital age. By providing robust, scalable, and cost-effective cloud solutions, these services are enabling organizations to focus on innovation and growth while leaving the complexities of cloud management to the experts.
As we continue to navigate the ever-evolving technological landscape, partnering with a knowledgeable and experienced AWS Managed Services provider is more crucial than ever. It's time to unlock your business's full potential with the power of AWS Cloud Managed Services.
Ready to take your cloud strategy to the next level? Explore how our team of cloud experts can help you leverage AWS Managed Services to drive your business forward. Contact us today to start your cloud transformation journey.
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Transform Your Business with Microsoft Azure Consulting Experts
Super Cloud offers cutting-edge Microsoft Azure Consulting to help organizations scale faster and smarter. Our consultants provide deep cloud insights, deployment strategies, and ongoing optimization. Whether you're migrating legacy systems or building cloud-native applications, our Microsoft Azure Consulting ensures cost-effective and secure cloud transformation. Partner with Super Cloud for trusted guidance across every stage of your cloud journey.
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