#SaaS with azure

[gqattech]

Cloud Platforms Testing at GQAT Tech: Powering Scalable, Reliable Apps

In today's digital world, most companies use the cloud to host their software, store their data, and provide users with seamless experiences and interactions, meaning their cloud-based systems have to be fast and secure (it could be an e-commerce site, a mobile app, or corporate software platform) and be able to provide a robust reliable level of service that does not fail. All this hard work to develop a cloud-based application means nothing if the application is not subjected to testing and verification to work properly in different cloud environments.

Credit should be given to GQAT Tech for making cloud platform testing a core competency, as the entire QA team tests applications in the cloud, on cloud-based platforms, i.e., AWS, Azure, Google Cloud, or Private Cloud, while testing for performance, security, scalability, and functionality.

Now, let's explore the definition of cloud platform testing, what it is, why it is important, and how GQAT Tech can help your company be successful in the cloud.

What Is Cloud Platform Testing?

Cloud platform testing provides validation of whether a web or mobile application will function correctly in a cloud-based environment (as compared to on a physical server).

It involves testing how well your app runs on services like:

Amazon Web Services (AWS)

Microsoft Azure

Google Cloud Platform (GCP)

IBM Cloud

Private/Hybrid cloud setups

The goal is to ensure your app is:

Scalability - Will it support more users over time with no performance degradation?  

Improve security - Is my data protected from being compromised/attacked?  

Stability - Is it repeatably functioning (no crashing or errors)?  

Speed - Is the load time fast enough for users worldwide?  

Cost - Is it utilizing cloud resources efficiently?

GQAT Tech’s Cloud Testing Services

GQAT Tech employs a hybrid process of manual testing, automated scripts, and real cloud environments to validate/applications in the most representative manner. The QA team manages real-time performance, availability, and security across systems.

Services Offered:

Functional Testing on Cloud

Validates that your app will behave in an appropriate way while hosted on different cloud providers.

Performance & Load Testing

Validates how your app behaves when 10, 100, or 10,000 users are accessing it at the same time.

Scalability Testing

Validates whether your app is capable of scaling up or down based on usage.

Security Testing

Validates for vulnerabilities specific to clouds: data leak vulnerabilities, misconfigured access, and DDoS risks.

Disaster Recovery & Backup Validation

Validates whether systems can be restored after failure or downtime.

Cross-Platform Testing

Validates your application's performance across AWS, Azure, GCP, and Private Cloud Systems.

Why Cloud Testing Is Important

By not testing your application in the cloud, you expose yourself to significant risks such as:

App crashes when usage is highest

Data loss because of inadequate backup

Cloud bills that are expensive due to inefficient usage

Security breaches due to weaker settings

Downtime that impacts customer frustration

All of these situations can be prevented and you can ensure your app runs smoothly every day with cloud testing.

Tools Used by GQAT Tech

GQAT Tech uses advanced tools for cloud testing:

Apache JMeter – Load testing and stress testing

Postman – API testing for cloud services

Selenium / Appium – Automated UI testing

K6 & Gatling – Performance testing

AWS/Azure/GCP Test Environments – Real cloud validation

CI/CD Pipelines (Jenkins, GitHub Actions) – Continuous cloud-based testing

Who Needs Cloud Platform Testing?

GQAT Tech works with startups, enterprises, and SaaS providers across industries like:

E-commerce

Healthcare

Banking & FinTech

Logistics & Travel

IoT & Smart Devices

Education & LMS platforms

If your product runs in the cloud, you need to test it in the cloud—and that’s exactly what GQAT does.

Conclusion

Cloud computing provides flexibility, speed, and power—but only if your applications are tested and validated appropriately. With GQAT Tech's cloud platform testing services, you can be confident that your application will work as required under all real-world environments.

They will help eliminate downtime, enhance app performance, protect user data and help optimize cloud expenditure—so you can expand your business without concern.

💬 Ready to test smarter in the cloud? 👉 Explore Cloud Platform Testing Services at GQAT Tech

[americeo-business]

6 Instagram Highlights Every Small Business Must Use!

Struggling to make your Instagram profile stand out? 🤔

These 6 highlights can turn casual visitors into loyal customers:

✨ About Me & My Brand

💬 Customer Love & Reviews

🆕 New Products

🔥 Best Sellers

🎁 Special Offers or Bundles

📩 VIP Email Sign Up

💡 Build trust. Drive sales. Look professional.

Let your Instagram work for your business 24/7! 🚀

📞 Need help setting it up? Let @americeo do it for you.

#InstagramTips #SmallBusinessMarketing #InstagramForBusiness #SocialMediaStrategy #InstaGrowth #BusinessHighlightReel #Americeo #MarketingThatWorks #BoostYourBrand #DigitalMarketingTips #SmallBizSupport #OnlinePresence #SocialSelling #InstaShop #InstagramSuccess

[techjour]

DO YOU USE #FAAS IN YOUR #APPLICATION?

FaaS stands for Function as a Service, Subset of Serverless architecture. It allows customers to run code in response to events without managing the complex infrastructure, associated with building and launching microservices applications. FaaS helps programmers solely focus on indivisual function in application.

e.g. AWS Lambda Function belongs to FaaS

Techjour assists to Customers to integrate high end technologies to scale their #business, product or application.

[katleenbrown440]

Facing Challenges to choose the right cloud platform to drive your business forward?

The battle of the clouds! AWS, Azure, or Google Cloud – which one truly fits your business needs? 🏆 Don’t let confusion hold you back from scaling! Our detailed comparison breaks down the pros, cons, and key features of each platform so you can make an informed decision for your cloud journey. Unlock the power of the right cloud today!

👉 Explore now: AWS vs Azure vs Google Cloud

[poojalate]

How Leading Companies Are Leveraging Infrastructure as a Service (IaaS)

As businesses increasingly turn to digital solutions, Infrastructure as a Service (IaaS) has emerged as a vital component for modern enterprises. By utilizing cloud platforms, companies can enhance their agility, scalability, and cost-efficiency. This article explores infrastructure as a service examples and how leading companies are leveraging IaaS providers to drive innovation and growth.

What is Infrastructure as a Service (IaaS)?

IaaS is a cloud computing service model that delivers virtualized computing resources over the internet. It enables businesses to rent infrastructure components like servers, storage, and networking, rather than investing in physical hardware. This flexibility allows companies to scale resources according to their needs and focus on core activities without the burden of managing IT infrastructure.

1. Netflix: Enhancing Scalability and Performance

Cloud Infrastructure Examples

Netflix, the global streaming giant, leverages IaaS to manage its vast content library and ensure seamless streaming experiences for millions of users worldwide. By using IaaS providers like Amazon Web Services (AWS), Netflix can quickly scale its infrastructure to handle peak loads, such as new releases or seasonal spikes in viewership. This scalability ensures high performance and availability, crucial for maintaining customer satisfaction.

2. Airbnb: Optimizing Resource Management

IaaS Use Cases

Airbnb, the popular online marketplace for lodging, utilizes IaaS to manage its global operations. The company employs cloud services examples like dynamic scaling to match infrastructure resources with fluctuating demand. During peak travel seasons or significant events, Airbnb can scale up its infrastructure to accommodate increased traffic, ensuring reliable service and user experience.

3. Slack: Ensuring Data Security and Compliance

Cloud Platforms

Slack, a leading collaboration platform, relies on IaaS for data security and regulatory compliance. By partnering with IaaS providers like Google Cloud Platform (GCP), Slack benefits from advanced security features, including encryption and compliance with industry standards such as GDPR and HIPAA. This ensures that sensitive business communications remain secure and compliant with regulations.

4. Pinterest: Enhancing Development and Innovation

IaaS Providers

Pinterest, a visual discovery and bookmarking platform, leverages IaaS to accelerate development cycles and foster innovation. Using cloud platforms like Microsoft Azure, Pinterest provides its developers with the tools and resources needed to build, test, and deploy new features rapidly. This agile development environment supports continuous improvement and innovation.

5. Spotify: Delivering Seamless Music Streaming

Cloud Infrastructure Examples

Spotify, the music streaming service, utilizes IaaS to manage its extensive music catalog and deliver high-quality streaming experiences. By using cloud platforms like Google Cloud, Spotify ensures that users can access their favorite music anytime, anywhere. The scalable infrastructure allows Spotify to handle millions of concurrent users without compromising performance.

6. Coca-Cola: Supporting Global Operations

IaaS Use Cases

Coca-Cola, a global beverage leader, uses IaaS to support its worldwide operations. By partnering with IaaS providers like IBM Cloud, Coca-Cola manages its supply chain, customer data, and digital marketing initiatives across different regions. This integrated approach enables Coca-Cola to maintain consistency and efficiency in its global operations.

7. Twitter: Managing Real-Time Data

Cloud Services Examples

Twitter, the social media platform, leverages IaaS to manage and process vast amounts of real-time data. Using cloud platforms like AWS, Twitter can handle high volumes of tweets, mentions, and user interactions with minimal latency. This capability is crucial for delivering real-time updates and maintaining user engagement.

8. General Electric: Facilitating Industrial IoT

IaaS Providers

General Electric (GE) uses IaaS to power its Industrial Internet of Things (IIoT) initiatives. By utilizing cloud platforms like Microsoft Azure, GE connects industrial equipment and collects data to optimize performance and predict maintenance needs. This data-driven approach enhances operational efficiency and reduces downtime.

9. eBay: Ensuring High Availability

Cloud Infrastructure Examples

eBay, the e-commerce giant, employs IaaS to ensure high availability and reliability for its global marketplace. By using IaaS providers like AWS, eBay can quickly scale its infrastructure to handle large volumes of transactions and user interactions. This reliability is essential for maintaining trust and satisfaction among buyers and sellers.

10. Zoom: Supporting Remote Communication

IaaS Use Cases

Zoom, the video conferencing service, relies on IaaS to support its global user base. By leveraging cloud platforms like Oracle Cloud, Zoom ensures high-quality video and audio communication, even during peak usage times. This scalability and reliability are critical for supporting remote work and virtual events.

Conclusion

Leading companies across various industries are leveraging Infrastructure as a Service (IaaS) to enhance scalability, performance, security, and innovation. By partnering with top IaaS providers and utilizing cloud infrastructure services, these businesses can stay agile, competitive, and responsive to market demands. Whether it's optimizing resource management, ensuring data security, or supporting global operations, IaaS provides the flexibility and power needed to drive business success in the digital age.

[govindhtech]

Red Hat Linux on Azure: Unleash the RHEL Advantage

Microsoft Azure offers the world’s premier enterprise Linux platform, Red Hat Enterprise Linux (RHEL).

Red Hat Linux on Azure Over 33,000 customers and 90% of Fortune 500 firms use Red Hat Enterprise Linux. This intelligent OS underpins Microsoft Azure, on-premise, hybrid, multicloud, and edge settings. Red Hat Enterprise Linux is cloud-optimized and secure enough to host your most important workloads. Red Hat Enterprise Linux purchases may also be made via Microsoft Azure Consumption Commitment (MACC), reducing expenses and obligations.

Why do global companies pick Red Hat Enterprise Linux (RHEL)? Reduce risk Security tools and features: Red Hat Enterprise Linux simplifies risk reduction and compliance with built-in security features and profiles. Security standards certification and a trustworthy software supply chain let enterprises operate Red Hat Enterprise Linux applications safely.

Build quicker Tools and features for developers: Red Hat Enterprise Linux balances production stability with developer agility. It speeds up application development and provides easy access to dependable Azure OS images. Azure integrates toolchains, libraries, container tools, and runtimes.

Avoid unexpected Integrating analytics and remediation: Red Hat Insights, a SaaS solution within Red Hat Enterprise Linux, gathers statistics about each deployment to proactively detect and help address problems. Red Hat Insights provides ongoing vulnerability warnings and tailored support to optimize uptime and minimize security risks, noncompliant settings, unpatched systems, and configuration drift situations. Red Hat Insights is FedRAMP-approved.

Save time The built-in workflow automation features in Red Hat Enterprise Linux and its integration with Red Hat Ansible Automation Platform enable enterprises manage their environments more efficiently. Red Hat Enterprise Linux system roles allow enterprises to quickly and reliably setup various instances using the same automation playbooks.

Take away doubt Long-term life cycle support and flexibility: Red Hat Enterprise Linux meets business needs with flexible and reliable performance. Multiple supported versions, on-demand upgrades, and new features are available to organizations. Red Hat’s consistent release cycle lets companies prepare for long-term success with up to 10 years of major release support and 2 years of minor release support. Red Hat maintains a constant kernel version for each major and minor release, assuring application and hardware stability. Red Hat offers in-place upgrade solutions to assist enterprises move to newer Red Hat Enterprise Linux versions.

LVM 9 Red Hat Enterprise Linux LVM 9 Red Hat Enterprise Linux Versions of Red Hat Enterprise Linux 8.9 (LVM) and 8 LVM 9 Red Hat Enterprise Linux LVM 9.0 Red Hat Enterprise Linux LVM 8.8 Red Hat Enterprise Linux LVM 8.7 Red Hat Enterprise Linux LVM 8.6 Red Hat Enterprise Linux Red Hat Enterprise Linux 8.5 LVM 8.4 Red Hat Enterprise Linux LVM 8.3 Red Hat Enterprise Linux LVM 8.2 Red Hat Enterprise Linux 8.1 LVM Red Hat Enterprise Linux LVM 8.0 Red Hat Enterprise Linux Red Hat Enterprise 7 Red Hat Enterprise 8.1 Red Hat Enterprise 8 Red Hat Enterprise Linux 7.9 Red Hat Enterprise 7.8 Red Hat Enterprise 7.6 Red Hat Enterprise Linux 7.7 Red Hat Enterprise 7.5 Red Hat Enterprise Linux 7.4 Pricing

This Pay-As-You-Go image has an hourly price in addition to Microsoft’s Linux VM charges. The VM pricing includes the standard Linux VM price and RHEL VM image cost. Learn about Red Hat Enterprise Linux pricing.

RHEL is a prominent corporate Linux platform. Enterprise clients entrust Microsoft Azure with their business-critical applications and use its services and solutions to innovate and modernize in the cloud. RHEL and Azure provide exceptional stability, security, scalability, agility, and cost-efficiency.

But don’t believe us. Microsoft and Red Hat hired Forrester Consulting to undertake a Total Economic Impact (TEI) analysis of Red Hat Enterprise Linux on Azure based on interviews with RHEL migration clients. Forrester researchers constructed a composite organization based on these interviews to reflect consumers and their economic reality.

Based on a composite organization, trusted financial model, and decision-maker interviews, the new Forrester report illustrates how Red Hat Linux on Azure generated 192% ROI and $11.94 million in benefits present value over three years. To quantify this large sum, Forrester calculates $3.9 million in business continuity savings and $4.4 million in data center cost reductions.

Improve business performance and resilience Reducing outage frequency and duration improves business continuity, according to the research. Before installing Red Hat Linux on Azure, the composite business had 12 4-hour disruptions per year due to hardware issues and natural calamities. After switching to Azure, outage frequency dropped 50% and downtime dropped 85%. The quantifiable advantages include 60% lower legacy solution expenses and 40% FTE reallocation to value-added business activities.

These stats are based on Red Hat and Microsoft customers’ genuine experiences, reported directly to Forrester’s seasoned analysts.

RHEL is a prominent corporate Linux platform. Enterprise clients entrust Microsoft Azure with their business-critical applications and use its services and solutions to innovate and modernize in the cloud. RHEL and Azure provide exceptional stability, security, scalability, agility, and cost-efficiency.

A desk-bound individual may use Red Hat Linux on Azure to accelerate innovation and prepare for AI with a flexible, open, and secure basis.

Start now

Based on a composite organization, trusted financial model, and decision-maker interviews, the new Forrester report illustrates how Red Hat Linux on Azure generated 192% ROI and $11.94 million in benefits present value over three years. To quantify this large sum, Forrester calculates $3.9 million in business continuity savings and $4.4 million in data center cost reductions.

TEI benefit summary infographic Improve business performance and resilience Reducing outage frequency and duration improves business continuity, according to the research. Before installing Red Hat Linux on Azure, the composite business had 12 4-hour disruptions per year due to hardware issues and natural calamities. After switching to Azure, outage frequency dropped 50% and downtime dropped 85%. The quantifiable advantages include 60% lower legacy solution expenses and 40% FTE reallocation to value-added business activities.

These stats are based on Red Hat and Microsoft customers’ genuine experiences, reported directly to Forrester’s seasoned analysts.

Azure were sold for many reasons. First, Azure lets us mix and match Red Hat subscriptions, which is big. Second, Microsoft Azure Red Hat Enterprise Linux compatibility is ensured. Third, their facilities may access locally installed core systems in diverse markets.”

Reduce security threats Security is a key issue and a possible barrier to cloud adoption. Azure offers code-to-cloud security. The respondents’ firms experienced smooth workload transfer, effective data recovery, resource scalability, proactive problem identification, and speedier deployment and upgrades after migrating Red Hat Linux on Azure. Integration of Red Hat and Microsoft support for RHEL on Azure provides a single point of contact for complete support and problem resolution.

Make buying easier Executive decision makers interviewed by Forrester also praised the Azure Marketplace, which streamlines procurement by offering prebuilt solutions and services that can be installed. Find and buy the tools and apps your organization needs fast, improving time to market and simplifying procurement.

Road ahead for RHEL Azure speak about technology as a journey, and Red Hat Linux on Azure helps companies adapt digitally. Modern firms get a full answer from this partnership. Munich Re enhanced flexibility by migrating SAP on Azure with Red Hat Enterprise Linux for SAP Apps. SAP on Azure and infrastructure automation make adding resources an hour, compared to four to six months. AIA, a Hong Kong insurance and financial services provider, delivered more than 100 major AI and analytics projects on Red Hat Enterprise Linux on Azure after moving to Azure and running its Enterprise Service Bus solution, which is core to the company.

Read more on Govindhtech.com

[otiskeene]

Oracle Launches Red Hat In The battle Of Hyperscalers

The increasing adoption of cloud computing technologies is causing a dramatic upheaval in the European corporate landscape. Oracle, a well-known name in the database space, is putting itself in a position to become one of Europe's top hyperscalers with the goal of hastening the cloud migration of enterprises. Information Services Group (ISG), a well-known consulting company and expert in technology research, has released the 2023 ISG Provider LensTM Oracle Cloud and Technology Ecosystem Report for Europe, which features a feature on this effort.

Oracle's approach entails strategic alliances with major players in the market, such as Microsoft and Red Hat. Notably, Oracle Cloud Infrastructure (OCI) now supports Red Hat Enterprise Linux, and Oracle Database@Azure offers direct access to Oracle database services that are set up in OCI data centers. With an emphasis on tackling specific concerns faced by Europe, like cybersecurity, data protection, and privacy, these alliances seek to provide customers with increased choice and flexibility in cloud services.

The study emphasizes how cloud computing, which is transforming company operations and data accessibility, is essential to the European digital landscape. But as reliance on the cloud increases, it also draws attention to issues like cybersecurity risks and data breaches. Oracle's growth in Europe is a result of its extensive cloud service portfolio and emphasis on offering business-class solutions that successfully handle these issues.

Oracle's cloud platform is praised for its easy connection with current corporate software, providing European companies with a large selection of cloud service alternatives that can be customized to meet their specific requirements. To demonstrate its dedication to improving cloud security measures, the firm announced Oracle Access Governance at Oracle CloudWorld 2023 with the goal of making security adoption simpler.

Read More - bit.ly/487cnk2

[bugendaitechgerman]

Efficient Data Workflow: Streamlining Your Process with Azure Data Factory Pipelines

In todays data-driven world, organizations constantly seek efficient and reliable ways to process large volumes of data. Azure Data Factory, a cloud-based data integration service from Microsoft, offers a powerful solution for orchestrating and automating data workflows. One of the critical components of Azure Data Factory is creating a pipeline that enables users to design and run complex data integration processes.

This blog will explore the pipeline creation process in Azure Data Factory and discuss its benefits in streamlining your data workflow.

What is Azure Data Factory?

Azure Data Factory is a fully managed data integration service that enables creating, orchestrating, and managing data pipelines. It provides a platform for collecting, transforming, and moving data across different sources and destinations. With its intuitive user interface and extensive integration options, Azure Data Factory enables users to create scalable and efficient data flows.

Pipeline components

A pipeline in Azure Data Factory consists of various components that work together to facilitate the data integration process. These components include:

A. Activities

Activities represent individual actions that take place within a channel. These can be data movement activities (copying data between sources and targets), data transformation activities (manipulating data using mapping or transformation logic), control activities (branching, looping, conditional execution), or custom activities (external scripts or code).

B. Datasets

Datasets define the data structures and formats used in the channel. They represent input and output data for activities. Azure Data Factory supports various data sources, including on-premises databases, cloud storage, and SaaS applications. Datasets specify connection information and data source schema.

C. Linked Services

Linked services establish connections to external data sources or computing resources. They provide the necessary credentials and configuration to access the data. Azure Data Factory supports different types of connected services, such as Azure Storage, Azure SQL Database, and Salesforce.

Piping design

The process of creating a pipeline in Azure Data Factory involves several steps:

A. Define pipe structure

Start by outlining the sequence of activities and their dependencies. Determine the order in which the activities should be performed and identify any dependencies between them.

B. Configure activities

Define each activitys type, input, output, and properties. This includes the specification of the source and target datasets, the transformation logic, and any required parameters.

C. Set dependencies

Create dependencies between activities by defining the conditions under which the activity should be executed. This allows you to create robust and flexible workflows that adapt to changing data conditions.

D. Test and verify

Test piping thoroughly before deploying to ensure accuracy and efficiency. Validate data transformations and verify connections to data sources and targets.

What are the benefits of creating a pipeline in Azure Data Factory?

Implementing pipeline creation in Azure Data Factory offers several benefits for organizations:

A. Efficiency and automation

By automating data workflows, pipelines eliminate the need for manual intervention and reduce the risk of errors. They ensure data integration processes are performed consistently and efficiently, saving time and effort.

B. Scalability

Azure Data Factory enables seamless scalability and the processing of large volumes of data. Pipelines can be easily modified to meet changing business needs and growing data demands.

C. Monitoring and Visibility

Azure Data Factory provides comprehensive monitoring and logging capabilities that allow users to monitor pipeline progress and performance. Enables proactive problem-solving and ensures data integrity during the integration process.

D. Integration with other Azure services

Azure Data Factory integrates seamlessly with other Azure services such as Azure Databricks, Azure Machine Learning, and Azure Synapse Analytics. This integration allows users to take advantage of additional features and improve their data flow.

E. Data Security and Compliance

Azure Data Factory includes robust security measures to protect data during transport and at rest. It supports encryption, access control, and compliance to ensure data privacy and regulatory compliance.

F. Cost optimization

Azure Data Factory offers cost optimization features like data movement parallelism and scheduling capabilities. Users can optimize data transmission and processing to minimize costs while maintaining high performance.

G. Ecosystem integration

Azure Data Factory integrates with various data storage platforms, databases, and analytics tools. This enables data to be seamlessly moved and transformed between different systems, allowing the organizations to leverage their existing investments.

Conclusion

Creating pipelines in Azure Data Factory enables organizations to streamline workflows and achieve efficient data integration. By leveraging the powerful capabilities of Azure Data Factory, users can design and automate complex data pipelines to ensure smooth movement and transformation of data across multiple sources and destinations.

Harness the power of Azure Data Factory to unlock the potential of your data-driven initiatives. With its extensive integration capabilities, scalability, monitoring capabilities, and integration with other Azure services, Azure Data Factory provides a comprehensive solution for managing and orchestrating data workflows in the cloud.

[eitanblumin]

I'm Speaking at DataWeekender 6.5!

Unfortunately, the Data TLV summit was delayed. But I still have some good news: I'll be speaking at #DataWeekender 6.5 on November 11, and I will be delivering a brand new session! ✨ It's next week! Register now! #Microsoft #SQLServer #MadeiraData

Unfortunately, the Data TLV summit was delayed. But I still have some good news: I’ll be speaking at #DataWeekender 6.5 on November 11, and I will be delivering a brand new session! ✨ Continue reading Untitled

[kennak]

はじめに 　みなさん初めまして、本田技研工業デジタルプラットフォーム開発部のTera-Cです。ソフトウェアエンジニアを10年程度経験してから自動車業界に転職して8年、Hondaでの業務歴は2年の若手?です。 　我々の部署ではAWSを活用して、Hondaの車やアプリに向けたWebサービスやサーバーの開発をしています。仕事を進めるうちに得られたAWSに関連する知見や事例、SaaSの活用情報などを発信していきます。 　今回はそのような技術的なお話の前に、ソフトウェアエンジニアが自動車会社に転職してきて感じた違いや、困ったこと、良かったことなどを「4選」、お伝えします。 はじめに 1. ソフトウェアの仕事の経験がある人が少ない 2. ソフトウェア開発のインフラが整っていない 3. 能力が高い人が多い 4. 労働組合の正体が分かる まとめ 1. ソフトウェアの仕事の経験がある人が少ない 　我々は自動車会社なので当たり前のことではあるのですが・・・SIerやソフトウェアベンダーなど、ソフトウェアの会社というのは人事、総務、経理、法務、営業、広報、もちろん開発や品質保証もですが、すべての組織がソフトウェアと関わる仕事をしている、と言ってよいと思います。自動車会社はソフトウェアではなく、自動車と関わる仕事をしているわけです。 　なので自動車会社でソフトウェアの仕事をする時には、非常に手間がかかります。 　自動車のマーケティングはできるけど、自動車と接続するiPhoneアプリのエンゲージメントを向上させるためのマーケティングはしたことがない。 　アメリカで組立てた自動車をインドに輸出することはできるけど、インドの開発拠点でAWSのオレゴンリージョンのEC2で運用してるGitLabからビルドイメージをダウンロードする時の輸出手続きはわからない。 　これらは自動車会社にとっては普通なわけです。でも、自動車会社でソフトウェアを開発しようとすると、ものすごい足かせとなります。 　長年のソフトウェア領域における自動車会社の努力によって、少しずつ組織の力は向上してきています。とはいえ、Hondaは自動車を売る会社でソフトウェアを売る会社ではないし、とても大きな組織です。なかなか難しいことはご想像できると思います。 　逆に言うと、自動車会社のソフトウェアエンジニアは大量で広範囲に及ぶ仕事があります（笑） 2. ソフトウェア開発のインフラが整っていない 　ソフトウェアエンジニアと言っても、いろんな種類があると思います。わたしはセキュリティ対策ソフトウェアのパッケージベンダーのエンジニアでした。自動車業界に比べると事業規模は小さく、仕事の内容は上流から下流まで全部やるのが普通でした。 　プログラミングやビルドもしなければならないため、最高レベルのスペックのデスクトップPCと、VMware、もしくはAWSやAzureなどのクラウド、豊富なコンピューターリソースを自由に使えることが多かったです。 　自動車業界に転職して、仕事で使うのはノートパソコンだけになりました。 最新のソフトウェアやプログラミング技術は好きなのですが、仕事で使う必要がないので、いらないでしょ？ということのようです。 　最初に飛び込んだ自動車会社ではAndroidを使った次世代のカーナビを内製開発するミッションを担当することになったので、かなりの問題がありました。 　ノートパソコンでAndroidをビルドすることはかなりのストレスです。自動車会社でデスクトップパソコンはどうやって調達すればよいのでしょうか。Raspberry Piとか、カーナビの試作基盤も欲しいですよね。サーバーや仮想環境はどこにあるのでしょうか。 　ネットワークにも問題があります。AOSPをcloneするにはプロキシを越えなければなりません。プロキシを超えたら超えたで、こんどは通信帯域を圧迫する問題があります。 　ソフトウェア企業ではふつうに存在していたインフラは自動車会社には存在せず、その構築にはお金がかかり、お金を使うためにはソフトウェアについてあまり詳しくない他部署の社員の説得や承認が必要でした。 3. 能力が高い人が多い 　同僚、後輩、先輩、上司、ともに仕事を進める以上、無意識でその人の能力を評価してしまってることはありませんか？あまりよくない癖だとは思うのですが、わたしはそうしてしまうことが結構あります。 　記憶力が良い、とか、論理を組み立てるのが速い、とか、なにかを整理して説明することが上手いとか、「能力が高い」と判断する要素というのは無数にあります。ただ、その能力と言うのはテストの点数のように表示されるものではないので、あくまで自分の主観に頼った評価になります。 主観に頼っているので、どうしても自分びいきになる。 それなのに、能力が高いと感じられる人が多くいる。 ということは、能力が高い人が多いんだ！ ・・・わたしの能力が低い、という可能性ももちろんあります。 　ともあれ、一緒に仕事をしていて、さまざまな場面でそのように感じることがあるのは事実です。そして、それはソフトウェアベンダーで働いていた時よりも多いのです。 自分のキャリアが進んで視点が変わったのはあると思います。また、年齢を重ねて自分の中にもっていた自信やプライドのようなものが丸くなってきたこともあるでしょう。 　それと同じように、日本における自動車会社は、新卒・中途採用��マーケットで、優秀な従業員を採用し続けているというのも事実でしょう。 　自動車会社でソフトウェアの仕事を進めるときには困ることはたくさんあります。しかし、進め方の説明をしたり、不足する知識や技術を補うと、とたんに仕事がスムーズに進み始める。そこには自動車会社の従業員の底力、を感じます。 4. 労働組合の正体が分かる 　日本には労働組合がない企業の方が多いのではないかと思います。春になると「春闘」といって、ベアが何％とか、ボーナスは5か月分だとかいうニュースが流れますが、自動車会社に入るまでは他人事でした。 　自動車会社では、管理職でなければ入社と同時に労働組合に加入します。月にいくらか組合費を支払います。 　通常の業務をするうえで組合の活動と言うものを意識することはないのですが、組合で何か決めたいことがある場合などは会議に呼ばれて、意見などを求められることがあります。月に1回あるかないかでしょうか。 　そういう活動を取りまとめる係が各部署単位で設定されたりするので、係になった人はもう一段階仕事が増えたりします。 　自分の代わりに労働組合が、給与やボーナスの基礎値のようなものを上げてくれたり、その交渉をしてくれたりする。組合費以上のメリットはあると思います。選挙の際には労働組合関連の市議、県議、国会議員の応援などを求められますが、それもまた経費ですね。 まとめ 　というわけで、ソフトウェアエンジニアがHondaに転職して感じたこと4選でした。 ソフトウェアに関わる仕事の経験がある人が少ない ソフトウェア開発のインフラが整っていない 能力が高い人が多い 労働組合の正体が分かる 　最近の自動車はさまざまなソフトウェアを部品として活用していて、Software Defined Vehicleという言葉も一般的になってきました。自動車会社のソフトウェアエンジニアとして、少しずつソフトウェアのことが分かる人を増やしていこうとしています。 　感じたことはまだまだあるので、また別の機会があればお伝えします。 　最後までお付き合いいただきありがとうございました。 Tera-C 本田技研工業株式会社、デジタルプラットフォーム開発部。Honda歴は2年。セキュリティ対策ソフトウェアのエンジニアが自動車業界へ飛び込んで、カーナビとかクラウドPFとか、いろんなものを開発してきました。Hondaとソフトウェアに関する記事を投稿していきます。

【魚拓】ソフトウェアエンジニアがHondaに転職して感じたこと4選 - Honda Tech Blog

[techjour]

Techjour can provide devops architect and engineer for your prominent Project OR Client. we can also offer you support and consulting.

DevOps team reduces your server cost by integrating tools, deliver scalable application and optimise your business processes.

[itcareerblogs]

Top 10 In- Demand Tech Jobs in 2025

Technology is growing faster than ever, and so is the need for skilled professionals in the field. From artificial intelligence to cloud computing, businesses are looking for experts who can keep up with the latest advancements. These tech jobs not only pay well but also offer great career growth and exciting challenges.

In this blog, we’ll look at the top 10 tech jobs that are in high demand today. Whether you’re starting your career or thinking of learning new skills, these jobs can help you plan a bright future in the tech world.

1. AI and Machine Learning Specialists

Artificial Intelligence (AI)  and Machine Learning are changing the game by helping machines learn and improve on their own without needing step-by-step instructions. They’re being used in many areas, like chatbots, spotting fraud, and predicting trends.

Key Skills: Python, TensorFlow, PyTorch, data analysis, deep learning, and natural language processing (NLP).

Industries Hiring: Healthcare, finance, retail, and manufacturing.

Career Tip: Keep up with AI and machine learning by working on projects and getting an AI certification. Joining AI hackathons helps you learn and meet others in the field.

2. Data Scientists

Data scientists work with large sets of data to find patterns, trends, and useful insights that help businesses make smart decisions. They play a key role in everything from personalized marketing to predicting health outcomes.

Key Skills: Data visualization, statistical analysis, R, Python, SQL, and data mining.

Industries Hiring: E-commerce, telecommunications, and pharmaceuticals.

Career Tip: Work with real-world data and build a strong portfolio to showcase your skills. Earning certifications in data science tools can help you stand out.

3. Cloud Computing Engineers: These professionals create and manage cloud systems that allow businesses to store data and run apps without needing physical servers, making operations more efficient.

Key Skills: AWS, Azure, Google Cloud Platform (GCP), DevOps, and containerization (Docker, Kubernetes).

Industries Hiring: IT services, startups, and enterprises undergoing digital transformation.

Career Tip: Get certified in cloud platforms like AWS (e.g., AWS Certified Solutions Architect).

4. Cybersecurity Experts

Cybersecurity professionals protect companies from data breaches, malware, and other online threats. As remote work grows, keeping digital information safe is more crucial than ever.

Key Skills: Ethical hacking, penetration testing, risk management, and cybersecurity tools.

Industries Hiring: Banking, IT, and government agencies.

Career Tip: Stay updated on new cybersecurity threats and trends. Certifications like CEH (Certified Ethical Hacker) or CISSP (Certified Information Systems Security Professional) can help you advance in your career.

5. Full-Stack Developers

Full-stack developers are skilled programmers who can work on both the front-end (what users see) and the back-end (server and database) of web applications.

Key Skills: JavaScript, React, Node.js, HTML/CSS, and APIs.

Industries Hiring: Tech startups, e-commerce, and digital media.

Career Tip: Create a strong GitHub profile with projects that highlight your full-stack skills. Learn popular frameworks like React Native to expand into mobile app development.

6. DevOps Engineers

DevOps engineers help make software faster and more reliable by connecting development and operations teams. They streamline the process for quicker deployments.

Key Skills: CI/CD pipelines, automation tools, scripting, and system administration.

Industries Hiring: SaaS companies, cloud service providers, and enterprise IT.

Career Tip: Earn key tools like Jenkins, Ansible, and Kubernetes, and develop scripting skills in languages like Bash or Python. Earning a DevOps certification is a plus and can enhance your expertise in the field.

7. Blockchain Developers

They build secure, transparent, and unchangeable systems. Blockchain is not just for cryptocurrencies; it’s also used in tracking supply chains, managing healthcare records, and even in voting systems.

Key Skills: Solidity, Ethereum, smart contracts, cryptography, and DApp development.

Industries Hiring: Fintech, logistics, and healthcare.

Career Tip: Create and share your own blockchain projects to show your skills. Joining blockchain communities can help you learn more and connect with others in the field.

8. Robotics Engineers

Robotics engineers design, build, and program robots to do tasks faster or safer than humans. Their work is especially important in industries like manufacturing and healthcare.

Key Skills: Programming (C++, Python), robotics process automation (RPA), and mechanical engineering.

Industries Hiring: Automotive, healthcare, and logistics.

Career Tip: Stay updated on new trends like self-driving cars and AI in robotics.

9. Internet of Things (IoT) Specialists

IoT specialists work on systems that connect devices to the internet, allowing them to communicate and be controlled easily. This is crucial for creating smart cities, homes, and industries.

Key Skills: Embedded systems, wireless communication protocols, data analytics, and IoT platforms.

Industries Hiring: Consumer electronics, automotive, and smart city projects.

Career Tip: Create IoT prototypes and learn to use platforms like AWS IoT or Microsoft Azure IoT. Stay updated on 5G technology and edge computing trends.

10. Product Managers

Product managers oversee the development of products, from idea to launch, making sure they are both technically possible and meet market demands. They connect technical teams with business stakeholders.

Key Skills: Agile methodologies, market research, UX design, and project management.

Industries Hiring: Software development, e-commerce, and SaaS companies.

Career Tip: Work on improving your communication and leadership skills. Getting certifications like PMP (Project Management Professional) or CSPO (Certified Scrum Product Owner) can help you advance.

Importance of Upskilling in the Tech Industry

Stay Up-to-Date: Technology changes fast, and learning new skills helps you keep up with the latest trends and tools.

Grow in Your Career: By learning new skills, you open doors to better job opportunities and promotions.

Earn a Higher Salary: The more skills you have, the more valuable you are to employers, which can lead to higher-paying jobs.

Feel More Confident: Learning new things makes you feel more prepared and ready to take on tougher tasks.

Adapt to Changes: Technology keeps evolving, and upskilling helps you stay flexible and ready for any new changes in the industry.

Top Companies Hiring for These Roles

Global Tech Giants: Google, Microsoft, Amazon, and IBM.

Startups: Fintech, health tech, and AI-based startups are often at the forefront of innovation.

Consulting Firms: Companies like Accenture, Deloitte, and PwC increasingly seek tech talent.

In conclusion,  the tech world is constantly changing, and staying updated is key to having a successful career. In 2025, jobs in fields like AI, cybersecurity, data science, and software development will be in high demand. By learning the right skills and keeping up with new trends, you can prepare yourself for these exciting roles. Whether you're just starting or looking to improve your skills, the tech industry offers many opportunities for growth and success.

[govindhtech]

Exploring Microsoft Ignite’s Confidential Computing

Missed the Ignite breakout session on “Azure confidential computing and Intel: Technology for the AI era”? No problem. Intel will cover the announcement of new Confidential VM instances on Azure powered by Intel Trust Domain Extensions (Intel TDX) and other Confidential Computing announcements from Microsoft and Intel. This on-demand video features Intel’s VP and GM of Security and Systems Architecture, Anil Rao, and Microsoft’s Azure confidential computing Head of Product, Vikas Bhatia.

Data potential has arrived

For many applications, public cloud resources are cheaper and endlessly scalable than on-prem infrastructure. Multiple parties sharing data for analysis and solution development is an intriguing innovation field. As AI advanced, enormous amounts of data were needed to create new models, analysis, and solutions.

However, data is typically private or sensitive and regulated, making it difficult to maximize its value. New data protection solutions have addressed privacy, security, and compliance concerns, but there was always a gap. Before today, storage and disk encryption protected data at rest, and network encryption protected data in transit. When data is in use in the processor and memory, those methods fail. Off-storage and off-network vulnerability exists.

Data in use can be valuable to sophisticated hackers, nation-state actors, and hostile insiders. A service innovation may add value and convenience for users, but activating the data beyond a locked-down storehouse is often too risky, resulting in data silos and unrealized potential.

Azure confidential computing fills this gap in data protection, protecting data through the end.

Confidential computing?

Computing confidentiality serves three fundamental purposes.

1. Isolation:

A silicon-based Trusted Execution Environment (TEE) is used in confidential computing. Only software within the TEE’s trust boundary can decrypt sensitive data there. This technologically isolates protected content from software and admins outside the trust boundary. It’s even separated from the cloud provider’s management stack, hypervisor, and infrastructure admins.

2. Encryption/Control

Confidential Computing restricts data access to authorized users. Thus, data outside the TEE is encrypted and only approved software or parties can view it within. Your data cannot be accessed in plaintext by the cloud provider, other tenants, or users.

3. Verification:

Can you verify your TEE’s authenticity and functionality? Cryptographic verification of the TEE’s authenticity, policy updates, and, depending on the technology, software compliance are all part of confidential computing technology. This is called “Attestation.”

Intel SGX and TDX: TEE foundations

Intel has the largest secret computing portfolio to address modern enterprises’ various needs for TEEs. With hardware-based memory encryption Intel Software Guard Extensions (Intel SGX), Intel pioneered Confidential Computing for the data center by isolating application code and data in memory.

But Intel SGX was just the start. Microsoft Azure now offers Intel Trust Domain Extensions (TDX), VM isolation technology launched in 2023 by Intel.

Intel’s unrivaled ecosystem, solution provider enabling, “security first” development methods, and best-in-class lifecycle security support support these products and services. Intel protects consumers long after they buy an Intel-based platform. Let’s discuss Intel Trust Authority’s additional protection.

Assurance from Intel Trust Authority Attestation ensures that the cloud instance where you’re deploying sensitive data is what you anticipate. Intel Trust Authority delivers independent SaaS attestation services for public or private cloud, on-prem, and edge. It provides cryptographic proof of a secret computing environment independent of the cloud provider that any stakeholder can request at any time and confirms that:

The TEE uses a genuine, security-enabled Intel CPU. The processor’s microcode patch is updated by policy. The TEE launched with authorized firmware. TEE software matches developer manifest and customer policy. Intel Trust Authority verifies your security hardware.

Deeper Intel TDX confidence Ephemeral VMs and OS disk integrity, Intel TDX secret VM security features in preview, can be used even if you missed the Ignite talk.

Ephemeral VMs add security when a confidential VM is stopped and revived. Cloud virtual machine (CVM) images could keep configurations, data, and secrets from the previous boot, exposing potentially confidential information. Intel TDX has an ephemeral virtual trusted platform module (vTPM) that does not store secrets like keys or configurations.

The OS disk integrity tool is an Azure CLI plugin that prepares, measures, and verifies OS disk launch. It lets users cryptographically verify OS disk root or system partition contents before processing private workloads. Sign up for the OS disk integrity tool preview now.

Experience Azure and Intel’s power Read Azure secret computing and Intel technology case studies.

Azure secret computing with Intel SGX and Intel TDX is helping Fireblocks advance asset tokenization.

Even as cookies disappear, Decentriq is helping retailers use confidential computing in data clean rooms to better customer targeting and marketing with first-party data.

Read more on Govindhtech.com

[arzelace]

5 Trends in ICT

Exploring the 5 ICT Trends Shaping the Future The Information and Communication Technology (ICT) landscape is evolving at a rapid pace, driven by advancements that are transforming how we live, work, and interact. Here are five key trends in ICT that are making a significant impact:

1. Convergence of Technologies

Technologies are merging into integrated systems, like smart devices that combine communication, media, and internet functions into one seamless tool. This trend enhances user experience and drives innovation across various sectors

Convergence technologies merge different systems, like smartphones combining communication and computing, smart homes using IoT, telemedicine linking healthcare with telecom, AR headsets overlaying digital on reality, and electric vehicles integrating AI and renewable energy.

2. Social Media

Social media platforms are central to modern communication and marketing, offering real-time interaction and advanced engagement tools. New features and analytics are making these platforms more powerful for personal and business use.

Social media examples linked to ICT trends include Facebook with cloud computing, TikTok using AI for personalized content, Instagram focusing on mobile technology, LinkedIn applying big data analytics, and YouTube leading in video streaming.

3. Mobile Technologies

Mobile technology is advancing with faster 5G networks and more sophisticated devices, transforming how we use smartphones and tablets. These improvements enable new applications and services, enhancing connectivity and user experiences.

Mobile technologies tied to ICT trends include 5G for high-speed connectivity, mobile payment apps in fintech, wearables linked to IoT, AR apps like Pokémon GO, and mobile cloud storage services like Google Drive.

4. Assistive Media

Assistive media technologies improve accessibility for people with disabilities, including tools like screen readers and voice recognition software. These innovations ensure that digital environments are navigable for everyone, promoting inclusivity.

Assistive media examples linked to ICT trends include screen readers for accessibility, AI-driven voice assistants, speech-to-text software using NLP, eye-tracking devices for HCI, and closed captioning on video platforms for digital media accessibility.

5. Cloud Computing

Cloud computing allows for scalable and flexible data storage and application hosting on remote servers. This trend supports software-as-a-service (SaaS) models and drives advancements in data analytics, cybersecurity, and collaborative tools.

Cloud computing examples related to ICT trends include AWS for IaaS, Google Drive for cloud storage, Microsoft Azure for PaaS, Salesforce for SaaS, and Dropbox for file synchronization.

Submitted by: Van Dexter G. Tirado

[miyadateryota]

【lyrics translation】

Color me live...

ー english translation by chye

Woah, Color me live…

誰の声も 届かない

Dare no koe mo todokanai

A place where no voice can reach

Deep self, here is so deep

何も視(み)えない 聴こえない

Nani mo mienai kikoenai

A place where nothing can be seen and heard

Ain’t nothing, here is nothing

深い海の底へと 堕ちてくような

Fukai umi no soko e to ochiteku youna

At the bottom of the deep sea, It seems like I fell down

日々に 呑み込まれて

Hibi ni nomikomarete

And I drowned within the days

I can’t breath

「逃げたい、そっと」 「出来ない、ずっと」

Nigetai sotto dekinai zutto

“I've always wanted to run away” “There's nothing I can ever do”

光のない 物語(ストーリー) But, one day…

Hikari no nai suutori, but one day

It's a story filled with darkness, but one day...

I found...

Color me live

Color me bright

生まれたての Heart Beats

Umaretate no heart beats

Newborn heartbeats

“希望”へと繋ぐ 音色(おと)

Kibou e to tsunagu oto

A hope that connects to a colorful tone

消えそうな 勇気を 照らしてく

Kienai souna yuuki wo terashiteku

The once disappearing courage brightly shines

今

Ima

At this very moment

世界に 忘れられたような

Sekai ni wasurerareta youna

It seems like the world had forgotten us

Tiny sounds, tiny signs

無限にループするような Waviness It's me

Mugen ni ruupu suru youna waviness it's me

Waviness that stuck in an endless loop, it's me

やっと、気付いてしまうよ...

Yatto kizuite shimauyo

Finally, I realized it

鮮明すぎる 蒼に舞う

Senmei sugiru ao ni mau

Too vivid, the dance within the azure

呼吸の粒 美しく 儚く I can see

Kokyuu no tsubu utsukushiku hakanaku i can see

Shallow breath, and ephemeral beauty, it's all I can see

「感じたい、もっと」「欲しいよ、もっと」

Kanjitai motto hoshii yo motto

“I want to feel more” “I want to feel what greed is”

光射してゆく Feelings…

Hikari sashiteku feelings

Feelings that sparkled...

I found…

Color me live

Color me bright

ありのままの My world

Ari no mama my world

In my very own world,

“自由”を知った

Jiyuu wo shitta

I've learned what “Freedom” means

鼓動 新たな旋律(リズム)を刻んでく

Kodou arata na rizumu wo kizandeku

And the beating new found rhythm scattered

初めて 映した色に

Hajimete utsushita iro ni

The first color I projected

初めて 夢見た明日に

Hajimete yumemita asu ni

On that first day where I saw my dream

心と身体はもう 捉えようのない 好奇心へ

Kokoro to karada wa mou toraeyou no nai koukishin e

My body and mind is set to that unstoppable curiosity

誘われ 飛び込む New wave

Sasoware tobikomu new wave

And invited myself to dive in that new wave

そう、モノクロだった 未来までも

Sou monokuro datta mirai made mo

That's right, even until that monochrome colored future

さぁ、もう一度

Saa mou ichido

Why don't we try again?

Color me live

Color me bright

生まれたての Heart Beats

Umaretate no heartbeats

Newborn heartbeats

“希望”へと繋ぐ 音色(おと)

Kibou e to tsunagu oto

A hope that connects to a colorful tone

いまなら 愛せる あの日の 自分(ぼく)も

Ima nara aiseru ano hi no boku mo

Maybe now I can finally love myself from that day

Color me live

胸踊るヒカリへと

Mune odoru hikari e to

To the light that can make my heart dance

Color me bright

想うがまま 泳ごう

Omou ga mama oyogou

Swimming until my heart's content

Color me live

僕だけの“Color”で ...

Boku dake no karaa de

With my very own color...