#vmware developer

[vmflame]

Hey folks!

It's Peter here!

I'm back for VMflame adventures and I want to push my computer knowledge boundaries even further!

So here's what I was up to today.

I tried making my own OS using ArchLinux.

But the main trouble is - I don't have any non-Apple hardware to do that. That's why I needed to emulate the entire ArchLinux environment using VMware Fusion software on my Mac Pro.

I downloaded the ArchLinux distro from their official website.

On a first attempt, I configured the VM as a Linux 3.x x64 kernel operating system with a BIOS boot system.

Just for the record, today I used the guide by Chris Titus - he did a great job explaining the entire process, so if you want, you can check out his video.

It all started with a good old command line and some massive package installation and configuration. Well then I made it through the entire configuration process, and right on the step when I should have booted into the newly made OS, it rebooted to the command line - the place where I started the entire process. That's when I remembered that I configured the eintore thing with BIOS.

I then retried doing all the same stuff but at the VM configuration step, I tried it with UEFI boot system instead.

It all seemed to be a success, but then I got a kernel error

chmod cannot access mnt/root/archfi

I also retried for a third time giving the the VM more RAM (12GB contrary to previous 8GB) but I still failed.

So now am waiting for a Linux ISO to be downloaded to try an alternative route for my goal destination.

Wel it's it for today! See y'all tomorrow!

[tehkuhnz]

Want to learn the secret of #CloudNative #Development WITHOUT #Kubernetes ⁉

Then check out my session VMware Explore Las Vegas!! Register here

[virtualizationhowto]

Virtual machine vs container: Which is best for home lab?

Virtual machine vs container: Which is best for home lab @vexpert #homelab #VirtualMachines #Containers #HomeLabTechnology #VMvsContainer #DockerContainers #OperatingSystems #VirtualizationTechnology #SoftwareDevelopment #VMware #ContainerImages

No doubt, if you have worked with technology for any time, you have heard the terms “virtual machines” and “containers” more than once. Both virtual machines and containers are core technologies in today’s ever-advanced technology world. However, many running home lab environments may wonder which they should run, virtual machine vs container. This post will dive deep into virtual machines vs.…

[cyberstudious]

wednesday, august 7th, 2024

I'm attempting to learn proper software development this week: performance profiling, writing test cases, and I should probably add more exception handling to my code. I'm grateful that I'm not on a team that constantly demands new features above all else, because it's important to take the time to do maintenance and catch up on tech debt. I'm learning that it's super easy to write code that works, but writing good code requires more work and the results are mostly invisible to people who aren't actually reading & writing the code. it's kind of a weird dynamic, but I just want to level up my skills.

today's to-do list:

read the chapter on basic performance testing

go over the docs for writing unit tests for the web framework we're using

write some code for the current work project

find some time to read for fun

attempt to fix my vmware install so I can finally get back to doing the labs from Practical Malware Analysis

a handful of other small tasks

[tabootabletalk]

100 work from home job opportunities

1. Live Ops- www.liveops.com

2. TeleTech-TeleTech.localjobster.com

3. Amazon-Amazon.JobsOnline.com

4. Sutherland Global Services- http://www.sutherlandglobal.com/careers.aspx

5. UnitedHealth Group-https://careers.unitedhealthgroup.com/career-areas/customer-service-and-claims/customer-service-and-call-center

6. Dell-http://jobs.dell.com/north-America-jobs

7. IBM-www.ibm.com/employment

8. U.S Department of Agriculture www.usda.gov

9. Working Solutions- http://workingsolutions.com

10. Humana- www.humana.com

11. Aetna- https://www.aetna.com/about-us/aetna-careers.html

12. Intuit- www.Intuit.com

13. Kaplan- kaplan.com/work-with-us/our-culture

14. Kelly Services- www.kellyservices.us/US/Careers/KellyConnect/Kelly-At-Home

15. Cactus Communications- https://www.flexjobs.com/jobs/telecommuting-jobs-at-cactus

16. Westat- https://www.westat.com

17. Salesforce- www.salesforce.com/company/careers

18. PAREXEL- https://jobs.parexel.com

19. CyberCoders- https://www.cybercoders.com/jobs/work-from-home-php-developer

20. American Express- https://jobs.americanexpress.com

21. Vmware- telecommuting-jobs-at-vmware

22. SAP- www.sap.com/career

23. Xerox- https://www.xerox.com/en-us/jobs/work-from-home

24. First Data- https://www.firstdata.com/en_us/about-first-data/careers

25. US-Report- www.us-reports.com/jobs

26. Oracle- Oracle-Work.Jobsgalore.com/Jobs

27. CACI International- careers.caci.com/key/work-from-home-jobs.html

28. A Place for Mom- www.aplaceformom.com/jobs

29. Anthem,Inc- careers.antheminc.com

30. DellSecureWroks- telecommuting-jobs-at-dell_secureworks

31. World Travel Holdings- www.worldtravelholdings.com/careers,work-home

32. ADP- www.adp.com/careers.aspx

33. Aon- telecommuting-jobs-at-aon

34. University of Maryland University College- www.umuc.edu/visitors/careers

35. Allergan Inc.- www.allergan.com/careers

36. K12- www.k12.com/careers

37. U.S. Department of Transportation- https://www.transportation.gov/careers

38. CSI companies- thecsicompanies.com/candidates

39. Robert Half- www.roberthalf.com

40. Nielsen- sites.nielsen.com/careers

41. Red Hat- www.redhat.com/en/jobs

42. Adobe Systems- www.adobe.com/careers

43. Overland Solutions, Inc.- overlandsolutionsinc.com

44. BCD travel- www.bcdtravel.com/get-to-know-us/careers

45. Connections Education- www.connectionsacademy.com/careers

46. Deloitte- www.deloitte.com/careers

47. Apple- https://jobs.apple.com

48. Mckesson Corporation- https://careers.mckesson.com

49. Thermo Fisher Scientific- corporate.thermofisher.com/en/home.html

50. Precyse- careers.precyse.com

51. Haynes & Company- www.haynesandcompany.com

52. Pharmaceutical Product Development Inc- www.ppdi.com/careers

53. IT Pro Philadelphia- www.phillymag.com/property/2013/10/22/live-work-homes

54. Cingna- www.cigna.com/career

55. Houghton Mifflin Harcourt- careers.hmhco.com

56. Sungard Availability Services- sungardas.com

57. Infor- www.infor.com/company/careers

58. Sodexo- www.sodexousa.com/home/careers-usa.html

59. About.com- About.com/Can I Work From Home

60. Altegra Health- altegrahealth.com/careers

61. GE- jobs.gecareers.com/

62. Western Governors University- www.wgu.edu/about_WGU/employment/work_remote

63. Grand Canyon University- jobs.gcu.edu/admissions-enrollment-jobs

64. Walden University- https://www.waldenu.edu

65. Vivint- www.vivint.com/company/careers

66. BroadSpire- https://www.choosebroadspire.com

67. Covance- careers.covance.com

68. Ellucian- www.ellucian.com

69. HD Supply- hdsupply.jobs

70. Perficient Inc.- www.perficient.com

71. Teradata- https://www.teradata.com

72. Wells Fargo- https://www.wellsfargo.com/about/careers

73. Symantec Corporation- www.Symantec.com

74. Real Staffing-www.realstaffing.com/en

75. Science Applications International- www.saic.com

76. AmerisourceBergen Company- www.amerisourcebergen.com

77. Appen- www.jobs.net/jobs/appen/en-us

78. Hartford Financial Services Group- https://www.thehartfordatwork.com

79. RetailDatat- retaildatallc.com

80. SYKES- www.sykes.com/Careers

81. CARA- www.jobbankusa.com

82. Citizens Financial Group- citizensbank.jobs/work-at-home

83. CVS Health- cvshealth.com

84. Healthfirst- https://healthfirst.taleo.net/careersection/hf_ext_cs/jobsearch

85. American Heart Association- careers.heart.org

86. BMC software- www.bmc.com/careers

87. Hibu- https://hibu.com

88. inVentive Health- www.inventivhealth.com/careers

89. Rosetta Stone- jobs.jobvite.com/rosettastone

90. Erie Insurance Group- https://www.erieinsurance.com/careers

91. Deluxe- https://ww.deluxe.com

92. Clevertech- https://weworkremotely.com/jobs

93. Achieve Test Prep- www.achievetestprep.com

94. Worldpay- www.worldpay.com

95. DataStax- https://www.datastax.com/

96. CDK Global- www.cdkglobal.com

97. Teleflex- www.teleflex.com/en/careers/workingAtTeleflex

98. Aquent- aquent.com/find-work

99. Parallon- www.parallon.com/careers

100. U.S Department of the Interior- https://www.doi.gov/careers

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[zerosecurity]

Ransomware Attacks Target VMware ESXi Infrastructure Following Interesting Pattern

Cybersecurity firm Sygnia has shed light on a concerning trend where ransomware attacks targeting VMware ESXi infrastructure follow a well-established pattern, regardless of the specific file-encrypting malware deployed. According to the Israeli company's incident response efforts involving various ransomware families, these attacks adhere to a similar sequence of actions.

The Attack Sequence

- Initial access is obtained through phishing attacks, malicious file downloads, or exploitation of known vulnerabilities in internet-facing assets. - Attackers escalate their privileges to obtain credentials for ESXi hosts or vCenter using brute-force attacks or other methods. - Access to the virtualization infrastructure is validated, and the ransomware is deployed. - Backup systems are deleted, encrypted, or passwords are changed to complicate recovery efforts. - Data is exfiltrated to external locations such as Mega.io, Dropbox, or attacker-controlled hosting services. - The ransomware initiates execution and encrypts the "/vmfs/volumes" folder of the ESXi filesystem. - The ransomware propagates to non-virtualized servers and workstations, widening the scope of the attack.

Mitigation Strategies

To mitigate the risks posed by such threats, organizations are advised to implement the following measures: - Ensure adequate monitoring and logging are in place - Create robust backup mechanisms - Enforce strong authentication measures - Harden the environment - Implement network restrictions to prevent lateral movement

Malvertising Campaign Distributing Trojanized Installers

In a related development, cybersecurity company Rapid7 has warned of an ongoing campaign since early March 2024 that employs malicious ads on commonly used search engines to distribute infected installers for WinSCP and PuTTY via typosquatted domains. These counterfeit installers act as a conduit to drop the Sliver post-exploitation toolkit, which is then used to deliver more payloads, including a Cobalt Strike Beacon leveraged for ransomware deployment. This activity shares tactical overlaps with prior BlackCat ransomware attacks that have used malvertising as an initial access vector, disproportionately affecting members of IT teams who are most likely to download the infected files.

New Ransomware Families and Global Trends

The cybersecurity landscape has witnessed the emergence of new ransomware families like Beast, MorLock, Synapse, and Trinity. The MorLock group has extensively targeted Russian companies, encrypting files without first exfiltrating them and demanding substantial ransoms. According to NCC Group's data, global ransomware attacks in April 2024 registered a 15% decline from the previous month, with LockBit's reign as the top threat actor ending in the aftermath of a sweeping law enforcement takedown earlier this year. The turbulence in the ransomware scene has been complemented by cyber criminals advertising hidden Virtual Network Computing (hVNC) and remote access services like Pandora and TMChecker, which could be utilized for data exfiltration, deploying additional malware, and facilitating ransomware attacks. Read the full article

[shopingstate]

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Nespresso Original Line Coffee Pod with 1 Storage Drawer Holder, 50 Capsule Capacity, Black

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[hydralisk98]

Czarina-VM, study of Microsoft tech stack history. Preview 1

Write down study notes about the evolution of MS-DOS, QuickBASIC (from IBM Cassette BASIC to the last officially Microsoft QBasic or some early Visual Basic), "Batch" Command-Prompt, PowerShell, Windows editions pathing from "2.11 for 386" to Windows "ME" (upgraded from a "98 SE" build though) with Windows "3.11 for Workgroups" and the other 9X ones in-between, Xenix, Microsoft Bob with Great Greetings expansion, a personalized mockup Win8 TUI animated flex box panel board and other historical (or relatively historical, with a few ground-realism & critical takes along the way) Microsoft matters here and a couple development demos + big tech opinions about Microsoft too along that studious pathway.

( Also, don't forget to link down the interactive-use sessions with 86box, DOSbox X & VirtualBox/VMware as video when it is indeed ready )

Yay for the four large tags below, and farewell.

[pixelpioneer]

How to Choose the Best Software Company for Your Needs

Choosing the right software company is essential for the success of any project. With so many companies to choose from, it can be difficult to know where to start. Here are some tips on how to choose top software companies:

Define your goals. What do you want to achieve with your software project? Once you know your goals, you can start to narrow down your search to companies that have the expertise and experience to help you achieve them.

Do your research. Read reviews, compare portfolios, and talk to other businesses that have worked with software development companies. This will give you a good sense of the company's reputation and track record.

Ask the right questions. When you're interviewing software companies, be sure to ask about their methodology, their team's experience, and their process for quality assurance. You should also get a clear understanding of the company's pricing structure and their timeline for completing your project.

Get multiple quotes. Don't just go with the first company you talk to. Get quotes from several different companies so you can compare prices and services.

Trust your gut. When you're interviewing software companies, you should get a sense of whether or not you're a good fit. If you feel comfortable with the company and their team, then you're more likely to have a successful project.

Here are some additional tips for choosing top software companies:

Look for companies that have a strong track record of delivering high-quality software.

Make sure the company has the experience and expertise to meet your specific needs.

Choose a company that is a good fit for your culture and communication style.

Get everything in writing, including the scope of work, timeline, and deliverables.

By following these tips, you can be sure to choose a top software company that will help you achieve your business goals.

Top Software Companies

There are many top software companies in the world, but some of the most well-known include:

Microsoft Corporation

IBM

Oracle Corporation

SAP SE

Salesforce

Adobe

Intuit

VMware

Google

These companies have a strong track record of delivering high-quality software solutions that meet the needs of businesses of all sizes.

When choosing a software company, it is important to consider your specific needs and requirements. However, by following the tips above, you can be sure to find a top software company that will help you achieve your business goals.

[aimarketresearch]

In-Memory Computing Market Size, Share, Trends, Growth Opportunities and Competitive Outlook

Executive Summary In-Memory Computing Market :

Global in-memory computing market size was valued at USD 30.43 billion in 2023 and is projected to reach USD 170.09 billion by 2031, with a CAGR of 24.00% during the forecast period of 2024 to 2031. 

The key factors discussed in the report will surely aid the buyer in studying the In-Memory Computing Market on competitive landscape analysis of prime manufacturers, trends, opportunities, marketing strategies analysis, market effect factor analysis and consumer needs by major regions, types, applications in Global In-Memory Computing Market considering the past, present and future state of the industry. Competitive analysis conducted in this report makes you aware about the moves of the key players in the market such as new product launches, expansions, agreements, joint ventures, partnerships, and acquisitions. The report also includes the detailed profiles for the In-Memory Computing Market’s major manufacturers and importers who are influencing the market.

In-Memory Computing Market report not only provides knowledge and information about all the recent developments, product launches, joint ventures, mergers and acquisitions by the several key players and brands but also acts as a synopsis of market definition, classifications, and market trends. Estimations about the rise or fall of the CAGR value for specific forecast period, market drivers, market restraints, and competitive strategies are evaluated in the report. The In-Memory Computing Market report gives details about market trends, future prospects, market restraints, leading market drivers, several market segments, key developments, key players in the market, and competitor strategies.

Discover the latest trends, growth opportunities, and strategic insights in our comprehensive In-Memory Computing Market report. Download Full Report: https://www.databridgemarketresearch.com/reports/global-in-memory-computing-market

In-Memory Computing Market Overview

**Segments**

- Based on component, the Global In-Memory Computing Market can be segmented into solutions and services. The solutions segment can further be categorized into in-memory data management and in-memory application platforms. The services segment includes consulting, implementation, and support and maintenance services. - On the basis of organization size, the market is divided into small and medium-sized enterprises (SMEs) and large enterprises. In-memory computing solutions are implemented by both SMEs and large enterprises to boost their operational efficiency and achieve real-time data processing. - In terms of deployment mode, the market can be segmented into on-premises and cloud-based deployment. The cloud-based deployment model is gaining popularity due to its flexibility, scalability, and cost-effectiveness. - By vertical, the in-memory computing market is segmented into BFSI, healthcare, retail, manufacturing, IT and telecom, government, and others. The BFSI sector is a major contributor to the market growth as in-memory computing helps financial institutions in real-time risk management and fraud detection.

**Market Players**

- Some of the key market players in the Global In-Memory Computing Market include SAP SE, Oracle, IBM, GigaSpaces, Hazelcast, GridGain Systems, TIBCO Software, Software AG, and Microsoft Corporation. These companies are focusing on product innovations, strategic partnerships, and acquisitions to enhance their market presence and expand their customer base. - Other notable players in the market are Intel Corporation, VMware, Altibase Corporation, MemVerge, Exasol, and ScaleOut Software. These players are actively investing in research and development activities to introduce advanced in-memory computing solutions that cater to the evolving needs of organizations across different industry verticals.

In the Global In-Memory Computing Market, one emerging trend is the growing adoption of in-memory computing solutions for data analytics and business intelligence. Organizations across various sectors are leveraging in-memory computing technology to gain real-time insights from their data, enabling them to make informed decisions quickly and stay ahead in today's competitive landscape. This trend is driven by the increasing need for faster processing speeds and improved performance in handling large volumes of data. By utilizing in-memory computing solutions, businesses can eliminate data latency issues and enhance their overall operational efficiency.

Another key development in the market is the rising demand for in-memory computing in the healthcare sector. With the healthcare industry generating massive amounts of data from electronic health records, medical imaging, and patient monitoring systems, there is a growing need for real-time data processing and analysis to improve patient care and support clinical decision-making. In-memory computing solutions enable healthcare providers to access and analyze critical information instantaneously, leading to better patient outcomes, reduced costs, and increased operational efficiency within healthcare facilities.

Furthermore, the integration of in-memory computing technology with artificial intelligence (AI) and machine learning (ML) capabilities is set to drive significant advancements in the market. By combining in-memory computing with AI and ML algorithms, organizations can enhance their data processing capabilities, automate decision-making processes, and unlock valuable insights from complex datasets. This convergence of technologies opens up new opportunities for businesses to extract actionable intelligence from their data, optimize operations, and drive innovation across various industry verticals.

Additionally, the market is witnessing a surge in strategic collaborations and partnerships among key players to accelerate product development and expand their global footprint. Companies are joining forces to integrate complementary technologies, enhance interoperability, and deliver comprehensive in-memory computing solutions that address the diverse needs of customers. These partnerships enable market players to leverage each other's strengths, access new markets, and create synergies that drive innovation and drive market growth.

Overall, the Global In-Memory Computing Market is poised for substantial growth driven by the increasing demand for real-time data processing, the rising adoption of in-memory computing across diverse industry verticals, and the convergence of technologies like AI and ML. As organizations continue to prioritize data-driven decision-making and digital transformation initiatives, in-memory computing solutions will play a pivotal role in enabling enterprises to unlock the full potential of their data assets, drive business agility, and stay competitive in today's fast-paced digital economy.One significant aspect impacting the Global In-Memory Computing Market is the increasing focus on real-time data processing capabilities across various industry verticals. Organizations are recognizing the need to harness the power of in-memory computing solutions to analyze data instantaneously, enabling them to make timely and informed decisions that can drive operational efficiency and competitive advantage. The ability to access and process large volumes of data in real-time is becoming a crucial differentiator for businesses looking to stay ahead in the rapidly evolving digital landscape. As a result, the demand for in-memory computing technologies is expected to witness steady growth as more companies seek to leverage these solutions for enhanced data analytics and business intelligence applications.

Moreover, the integration of in-memory computing with advanced technologies such as artificial intelligence (AI) and machine learning (ML) is poised to revolutionize the market further. By combining in-memory computing capabilities with AI and ML algorithms, organizations can unlock deeper insights from their data, automate decision-making processes, and drive innovative solutions across various sectors. The synergy created by merging these technologies offers businesses a competitive edge by enabling them to extract actionable intelligence, optimize operations, and drive transformative changes in how data is processed and utilized. This convergence presents a wealth of opportunities for market players to develop innovative solutions that cater to the evolving needs of businesses across different industries, fueling further growth and advancement in the in-memory computing market.

Additionally, the healthcare sector's increasing adoption of in-memory computing solutions for real-time data processing and analysis represents a significant growth opportunity in the market. With the healthcare industry generating vast amounts of data from various sources, the ability to access and analyze this information instantly can vastly improve patient care, enhance clinical decision-making, and drive operational efficiencies within healthcare organizations. In-memory computing technologies offer healthcare providers the capability to extract critical insights from complex datasets rapidly, leading to better patient outcomes, cost savings, and overall improvements in the quality of care delivered. This trend is expected to drive substantial growth in the adoption of in-memory computing solutions within the healthcare sector, creating new avenues for market players to innovate and expand their presence in this burgeoning market segment.

In conclusion, the Global In-Memory Computing Market is undergoing significant transformations driven by the increasing demand for real-time data processing, the integration of advanced technologies like AI and ML, and the expanding adoption of in-memory computing solutions across diverse industry verticals. Organizations are embracing these technologies to unlock the full potential of their data assets, gain competitive advantages, and drive business growth in a data-driven digital economy. As the market continues to evolve, market players have the opportunity to capitalize on these trends, innovate new solutions, and establish strong footholds in the rapidly expanding in-memory computing landscape.

The In-Memory Computing Market is highly fragmented, featuring intense competition among both global and regional players striving for market share. To explore how global trends are shaping the future of the top 10 companies in the keyword market.

Learn More Now: https://www.databridgemarketresearch.com/reports/global-in-memory-computing-market/companies

DBMR Nucleus: Powering Insights, Strategy & Growth

DBMR Nucleus is a dynamic, AI-powered business intelligence platform designed to revolutionize the way organizations access and interpret market data. Developed by Data Bridge Market Research, Nucleus integrates cutting-edge analytics with intuitive dashboards to deliver real-time insights across industries. From tracking market trends and competitive landscapes to uncovering growth opportunities, the platform enables strategic decision-making backed by data-driven evidence. Whether you're a startup or an enterprise, DBMR Nucleus equips you with the tools to stay ahead of the curve and fuel long-term success.

Influence of the In-Memory Computing Market Report:

Comprehensive assessment of all opportunities and risk in the In-Memory Computing Market

Lead In-Memory Computing Market recent innovations and major events

Detailed study of business strategies for growth of the In-Memory Computing Market market-leading players

Conclusive study about the growth plot of In-Memory Computing Market for forthcoming years

In-depth understanding of In-Memory Computing Market -particular drivers, constraints and major micro markets

Favourable impression inside vital technological and In-Memory Computing Marketlatest trends striking the Cannabis Seeds Market

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Tag: In-Memory Computing, In-Memory Computing Size, In-Memory Computing Share, In-Memory Computing Growth

[tehkuhnz]

I have seen a lot of mentions about "alternatives" to #kubernetes lately... Just here to remind you about #CloudFoundry and #VMwareTanzu Application Service, running apps at scale since 2011 😎

[cybersecurityict]

How does cloud computing enable faster business scaling for me

Cloud Computing Market was valued at USD 605.3 billion in 2023 and is expected to reach USD 2619.2 billion by 2032, growing at a CAGR of 17.7% from 2024-2032. 

Cloud Computing Market is witnessing unprecedented growth as businesses across sectors rapidly adopt digital infrastructure to boost agility, scalability, and cost-efficiency. From small startups to global enterprises, organizations are shifting workloads to the cloud to enhance productivity, improve collaboration, and ensure business continuity.

U.S. Market Leads Cloud Innovation with Expanding Enterprise Adoption

Cloud Computing Market continues to expand as emerging technologies such as AI, machine learning, and edge computing become more integrated into enterprise strategies. With increased reliance on hybrid and multi-cloud environments, providers are innovating faster to deliver seamless, secure, and flexible solutions.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2779 

Market Keyplayers:

Amazon Web Services (AWS) (EC2, S3)

Microsoft (Azure Virtual Machines, Azure Storage)

Google Cloud (Google Compute Engine, Google Kubernetes Engine)

IBM (IBM Cloud Private, IBM Cloud Kubernetes Service)

Oracle (Oracle Cloud Infrastructure, Oracle Autonomous Database)

Alibaba Cloud (Elastic Compute Service, Object Storage Service)

Salesforce (Salesforce Sales Cloud, Salesforce Service Cloud)

SAP (SAP HANA Enterprise Cloud, SAP Business Technology Platform)

VMware (VMware vCloud, VMware Cloud on AWS)

Rackspace (Rackspace Cloud Servers, Rackspace Cloud Files)

Dell Technologies (VMware Cloud Foundation, Virtustream Enterprise Cloud)

Hewlett Packard Enterprise (HPE) (HPE GreenLake, HPE Helion)

Tencent Cloud (Tencent Cloud Compute, Tencent Cloud Object Storage)

Adobe (Adobe Creative Cloud, Adobe Document Cloud)

Red Hat (OpenShift, Red Hat Cloud Infrastructure)

Cisco Systems (Cisco Webex Cloud, Cisco Intersight)

Fujitsu (Fujitsu Cloud Service K5, Fujitsu Cloud IaaS Trusted Public S5)

Huawei (Huawei Cloud ECS, Huawei Cloud OBS)

Workday (Workday Human Capital Management, Workday Financial Management)

Market Analysis

The global cloud computing landscape is being redefined by increasing demand for on-demand IT services, software-as-a-service (SaaS) platforms, and data-intensive workloads. In the U.S., cloud adoption is accelerating due to widespread digital transformation initiatives and investments in advanced technologies. Europe is also experiencing significant growth, driven by data sovereignty concerns and regulatory frameworks like GDPR, which are encouraging localized cloud infrastructure development.

Market Trends

Surge in hybrid and multi-cloud deployments

Integration of AI and ML for intelligent workload management

Growth of edge computing reducing latency in critical applications

Expansion of industry-specific cloud solutions (e.g., healthcare, finance)

Emphasis on cybersecurity and compliance-ready infrastructure

Rise of serverless computing for agile development and scalability

Sustainability focus driving adoption of green data centers

Market Scope

Cloud computing's scope spans nearly every industry, supporting digital-first strategies, automation, and real-time analytics. Organizations are leveraging cloud platforms not just for storage, but as a foundation for innovation, resilience, and global expansion.

On-demand infrastructure scaling for startups and enterprises

Support for remote workforces with secure virtual environments

Cross-border collaboration powered by cloud-native tools

Cloud-based disaster recovery solutions

AI-as-a-Service and Data-as-a-Service models gaining traction

Regulatory-compliant cloud hosting driving European market growth

Forecast Outlook

The future of the Cloud Computing Market is driven by relentless demand for agile digital infrastructure. As cloud-native technologies become standard in enterprise IT strategies, both U.S. and European markets are expected to play pivotal roles. Advanced cloud security, integrated data services, and sustainability-focused infrastructure will be at the forefront of upcoming innovations. Strategic alliances between cloud providers and industry players will further fuel momentum, especially in AI, 5G, and IoT-powered environments.

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Conclusion

As the digital economy accelerates, the Cloud Computing Market stands at the core of modern enterprise transformation. It empowers businesses with the tools to scale intelligently, respond to market shifts rapidly, and innovate without limits. For leaders across the U.S. and Europe, embracing cloud technology is no longer optional—it's the strategic engine driving competitive advantage and sustainable growth.

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[coredgeblogs]

Kubernetes Cluster Management at Scale: Challenges and Solutions

As Kubernetes has become the cornerstone of modern cloud-native infrastructure, managing it at scale is a growing challenge for enterprises. While Kubernetes excels in orchestrating containers efficiently, managing multiple clusters across teams, environments, and regions presents a new level of operational complexity.

In this blog, we’ll explore the key challenges of Kubernetes cluster management at scale and offer actionable solutions, tools, and best practices to help engineering teams build scalable, secure, and maintainable Kubernetes environments.

Why Scaling Kubernetes Is Challenging

Kubernetes is designed for scalability—but only when implemented with foresight. As organizations expand from a single cluster to dozens or even hundreds, they encounter several operational hurdles.

Key Challenges:

1. Operational Overhead

Maintaining multiple clusters means managing upgrades, backups, security patches, and resource optimization—multiplied by every environment (dev, staging, prod). Without centralized tooling, this overhead can spiral quickly.

2. Configuration Drift

Cluster configurations often diverge over time, causing inconsistent behavior, deployment errors, or compliance risks. Manual updates make it difficult to maintain consistency.

3. Observability and Monitoring

Standard logging and monitoring solutions often fail to scale with the ephemeral and dynamic nature of containers. Observability becomes noisy and fragmented without standardization.

4. Resource Isolation and Multi-Tenancy

Balancing shared infrastructure with security and performance for different teams or business units is tricky. Kubernetes namespaces alone may not provide sufficient isolation.

5. Security and Policy Enforcement

Enforcing consistent RBAC policies, network segmentation, and compliance rules across multiple clusters can lead to blind spots and misconfigurations.

Best Practices and Scalable Solutions

To manage Kubernetes at scale effectively, enterprises need a layered, automation-driven strategy. Here are the key components:

1. GitOps for Declarative Infrastructure Management

GitOps leverages Git as the source of truth for infrastructure and application deployment. With tools like ArgoCD or Flux, you can:

Apply consistent configurations across clusters.

Automatically detect and rollback configuration drifts.

Audit all changes through Git commit history.

Benefits:

·       Immutable infrastructure

·       Easier rollbacks

·       Team collaboration and visibility

2. Centralized Cluster Management Platforms

Use centralized control planes to manage the lifecycle of multiple clusters. Popular tools include:

Rancher – Simplified Kubernetes management with RBAC and policy controls.

Red Hat OpenShift – Enterprise-grade PaaS built on Kubernetes.

VMware Tanzu Mission Control – Unified policy and lifecycle management.

Google Anthos / Azure Arc / Amazon EKS Anywhere – Cloud-native solutions with hybrid/multi-cloud support.

Benefits:

·       Unified view of all clusters

·       Role-based access control (RBAC)

·       Policy enforcement at scale

3. Standardization with Helm, Kustomize, and CRDs

Avoid bespoke configurations per cluster. Use templating and overlays:

Helm: Define and deploy repeatable Kubernetes manifests.

Kustomize: Customize raw YAMLs without forking.

Custom Resource Definitions (CRDs): Extend Kubernetes API to include enterprise-specific configurations.

Pro Tip: Store and manage these configurations in Git repositories following GitOps practices.

4. Scalable Observability Stack

Deploy a centralized observability solution to maintain visibility across environments.

Prometheus + Thanos: For multi-cluster metrics aggregation.

Grafana: For dashboards and alerting.

Loki or ELK Stack: For log aggregation.

Jaeger or OpenTelemetry: For tracing and performance monitoring.

Benefits:

·       Cluster health transparency

·       Proactive issue detection

·       Developer fliendly insights

5. Policy-as-Code and Security Automation

Enforce security and compliance policies consistently:

OPA + Gatekeeper: Define and enforce security policies (e.g., restrict container images, enforce labels).

Kyverno: Kubernetes-native policy engine for validation and mutation.

Falco: Real-time runtime security monitoring.

Kube-bench: Run CIS Kubernetes benchmark checks automatically.

Security Tip: Regularly scan cluster and workloads using tools like Trivy, Kube-hunter, or Aqua Security.

6. Autoscaling and Cost Optimization

To avoid resource wastage or service degradation:

Horizontal Pod Autoscaler (HPA) – Auto-scales pods based on metrics.

Vertical Pod Autoscaler (VPA) – Adjusts container resources.

Cluster Autoscaler – Scales nodes up/down based on workload.

Karpenter (AWS) – Next-gen open-source autoscaler with rapid provisioning.

Conclusion

As Kubernetes adoption matures, organizations must rethink their management strategy to accommodate growth, reliability, and governance. The transition from a handful of clusters to enterprise-wide Kubernetes infrastructure requires automation, observability, and strong policy enforcement.

By adopting GitOps, centralized control planes, standardized templates, and automated policy tools, enterprises can achieve Kubernetes cluster management at scale—without compromising on security, reliability, or developer velocity. 

[nimilphilip]

A Complete Guide to Cloud Computing Master’s Degrees in France, Germany, and Ireland

The digital world is changing because of cloud computing. It's at the centre of today's tech-driven world, from streaming services and mobile apps to AI and data analytics. The need for skilled workers is skyrocketing as businesses quickly move to cloud infrastructure. And where better to learn these skills that are in high demand than in Europe?

 France, Germany, and Ireland are now the best places for international students who want to specialise in cloud computing to study. These countries are great places to start your cloud-focused career because they have strong academic programs, access to global tech companies, and great job opportunities after you finish school.

 We'll show you everything you need to know about getting a Master's degree in Cloud Computing in these three countries in this guide. We'll talk about why they're a great choice, the best schools to go to, and what you can do after you graduate.

Why Pursue Cloud Computing in Europe?

Europe is now a hotbed of new technology. Cloud computing is a top priority for governments all over Europe as they work on digital transformation. France is making tech hubs like Station F in Paris. Germany is ahead of the rest of the world when it comes to digitising industry. Ireland is home to the European headquarters of the largest cloud service providers.

 You can find a lot of master's programs in tech that are taught entirely in English, even in countries where English isn't the first language, like France and Germany. This makes it possible for international students to get a good education without having to worry about language problems.

 All three countries have a lot of job opportunities after you finish your studies. Most graduates have 18 to 24 months to find a job, which gives you plenty of time to get into cloud development, security, DevOps, and other fields.

Studying Cloud Computing in France

The number of international tech students choosing France is increasing. Light fees, excellent research results and worldwide cooperation have made it the ideal base for cloud-related studies.

At the Institut Polytechnique de Paris, the MSc in Cloud and Network Infrastructures (provided by EIT Digital) lets students study and apply what they have learned in industry projects. Within two years, students become familiar with cloud systems, mobile networks and virtualization by learning at several European universities.

EPITA School of Engineering and Computer Science has developed a MSc in Cloud Computing and Virtualisation that focuses on gaining practical skills in distributed technologies, security for cloud environments and important virtualization tools like VMware and Docker. The teaching is closely linked to what is used in the real world.

A research-focused approach is taken in the MSc in Computer Science (Cloud and Network Security) offered by the University of Lille. Students engage in both cloud infrastructure and security topics such as cryptography, secure protocols and intrusion detection which helps them succeed in industry and PhD programs.

With cloud companies OVHCloud and Thales based in France, graduates have plenty of employment opportunities as a Cloud Architect, DevOps Engineer or Cloud Security Analyst.

Studying Cloud Computing in Germany

Long ago, Germany became well-known for its top-level engineering and technical education. Also, Germany is emerging as a major part of Europe’s digital transformation which makes it an ideal choice for cloud studies.

People looking for a master’s degree in Informatics can find a well-regarded program with a Cloud Computing track at TUM. This course is especially suitable for students wishing to study distributed systems and scalable system design supported by up-to-date research and labs.

RWTH Aachen University has a cloud focus for its MSc in Computer Science program. Students develop strong understanding and skills in distributed systems, scalable computing and high-performance networks which are vital for cloud computing.

In the MSc in Software Engineering and Management at the University of Stuttgart, students have the option to focus on Cloud Technology. This two-year program provides a mix of theoretical learning and tasks in cloud systems, agile teamwork and the use of Kubernetes and other tools.

Graduates in Germany typically find work as Cloud Infrastructure Engineers, Cloud Project Managers or Systems Administrators in tech hubs such as Berlin, Munich and Frankfurt due to the healthy job market in Germany.

Studying Cloud Computing in Ireland

Ireland is quickly becoming Europe's tech centre. Almost every big tech company, from Microsoft to Google, has a presence there, making it a great place for IT workers. This is one of the best places to start a career in cloud computing.

 Dublin City University (DCU) has a one-year MSc in Computing with a Cloud Computing stream. This program gives you a full picture of cloud technologies, such as DevOps, cloud-native development, and scalable architectures. It does this through strong ties to the industry and learning through projects.

The National College of Ireland (NCI) offers an MSc in Cloud Computing that focusses on using tools like AWS, Azure, and Google Cloud in real life. Students get an edge in the Irish and global job markets by working on real projects and doing internships.

The MSc in Computer Science with a focus on Cloud and Network Technologies at Technological University Dublin (TU Dublin) is for people who want to be technical leaders. Students learn about enterprise networks, cloud orchestration, virtualisation, and distributed systems.

 Ireland has a booming tech industry, which means there are good jobs at companies like Amazon, IBM, and Accenture. Cloud Software Developer, Solutions Architect, and Site Reliability Engineer are some of the jobs that graduates often get.

Are you looking for the best study abroad consultants in Kochi

[deshpandeisha]

Global Intrusion Detection and Prevention System Market Forecast: Trends, Demand Drivers, and Competitive Landscape

The Intrusion Detection and Prevention System market is expected to grow from an estimated USD 5,142.5 million in 2024 to USD 9,064.0 million in 2033, at a CAGR of 6.5%. The Intrusion Detection and Prevention System market is projected to grow, owing to rising adoption of cloud computing. Cloud computing has transformed the way an organization operates its infrastructure and data.

The latest research on the Intrusion Detection and Prevention System market applies both qualitative and quantitative data analysis to present an overview of the future adjacencies around the Intrusion Detection and Prevention System industry. An extensive study of the product application and services conducted by subject matter experts assessing the Intrusion Detection and Prevention System market will help product owners to make a wise decision. From analyzing which products companies should produce, expand to how brands should position their product the study covers all that business owners require meeting the buyers’ requirement.

Get Download Pdf Sample Copy of this Report@ https://www.emergenresearch.com/request-sample/3223

Competitive Terrain:

The global Intrusion Detection and Prevention System industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.

The leading market contenders listed in the report are:

Microsoft, IBM, AWS, Google, Alibaba Cloud, VMWare, Huawei, Citrix, Tencent Cloud, Scality

Key market aspects studied in the report:

Market Scope: The report explains the scope of various commercial possibilities in the global Intrusion Detection and Prevention System market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.

Competitive Outlook: The leading companies operating in the Intrusion Detection and Prevention System market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.

Report Objective: The primary objective of this report is to provide the manufacturers, distributors, suppliers, and buyers engaged in this sector with access to a deeper and improved understanding of the global Intrusion Detection and Prevention System market.

Emergen Research is Offering Limited Time Discount (Grab a Copy at Discounted Price Now)@ https://www.emergenresearch.com/request-discount/3223

Market Segmentations of the Intrusion Detection and Prevention System Market

This market is segmented based on Types, Applications, and Regions. The growth of each segment provides accurate forecasts related to production and sales by Types and Applications, in terms of volume and value for the period between 2022 and 2030. This analysis can help readers looking to expand their business by targeting emerging and niche markets. Market share data is given on both global and regional levels. Regions covered in the report are North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Research analysts assess the market positions of the leading competitors and provide competitive analysis for each company. For this study, this report segments the global Intrusion Detection and Prevention System market on the basis of product, application, and region:

Segments Covered in this report are:

Components Outlook (Revenue, USD Million; 2020-2033)

Solutions

Hardware

Software

Services

Integration

Support and Maintenance

Type Outlook (Revenue, USD Million; 2020-2033)

Network-based

Wireless-based

Network behaviour analysis

Host-based

Organization Size Outlook (Revenue, USD Million; 2020-2033)

Small and Medium-sized Enterprises (SMEs)

Large Enterprise

Browse Full Report Description + Research Methodology + Table of Content + Infographics@ https://www.emergenresearch.com/industry-report/intrusion-detection-and-prevention-system-market

Major Geographies Analyzed in the Report:

North America (U.S., Canada)

Europe (U.K., Italy, Germany, France, Rest of EU)

Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)

Latin America (Chile, Brazil, Argentina, Rest of Latin America)

Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

ToC of the report:

Chapter 1: Market overview and scope

Chapter 2: Market outlook

Chapter 3: Impact analysis of COVID-19 pandemic

Chapter 4: Competitive Landscape

Chapter 5: Drivers, Constraints, Opportunities, Limitations

Chapter 6: Key manufacturers of the industry

Chapter 7: Regional analysis

Chapter 8: Market segmentation based on type applications

Chapter 9: Current and Future Trends

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Emergen Research is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyse consumer behavior shifts across demographics, across industries, and help clients make smarter business decisions. We offer market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Types, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trends existent in the market. Emergen Research has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.

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