#Splunk Implementation Partners

[ludoonline]

Security and Compliance in the Cloud: Proactive Strategies for Risk Mitigation

As organizations shift their workloads to the cloud, ensuring robust security and compliance has become a top priority. With evolving cyber threats and stringent compliance requirements, businesses must adopt proactive strategies to safeguard data, applications, and infrastructure.

In this blog, we explore key security risks in cloud computing, the importance of compliance, and best practices to mitigate risks effectively.

Understanding Cloud Security Risks

While the cloud offers scalability and flexibility, it also introduces unique security challenges that businesses must address:

🔹 Data Breaches & Unauthorized Access

Weak authentication methods can expose sensitive data to cybercriminals.

Misconfigured cloud settings often lead to accidental data exposure.

🔹 Compliance Violations

Many industries require adherence to standards like GDPR, HIPAA, and ISO 27001.

Non-compliance can result in fines, legal consequences, and reputational damage.

🔹 Lack of Visibility & Control

Shadow IT (unauthorized cloud usage) increases security risks.

Multi-cloud environments can complicate security management.

🔹 DDoS and Insider Threats

Distributed Denial of Service (DDoS) attacks can disrupt cloud services.

Insider threats—whether malicious or accidental—pose significant risks to data integrity.

🚨 To counter these risks, businesses must adopt a proactive security and compliance strategy.

Proactive Strategies for Risk Mitigation

To ensure a secure and compliant cloud environment, organizations should implement the following best practices:

✅ 1. Implement a Zero Trust Security Model

🔒 “Never trust, always verify.”

Enforce multi-factor authentication (MFA) for all users.

Use role-based access control (RBAC) to limit privileges.

Monitor access logs to detect suspicious activity.

✅ 2. Encrypt Data at Rest and in Transit

🔑 Data encryption is critical for securing sensitive information.

Use AES-256 encryption for data stored in the cloud.

Ensure all communications use SSL/TLS encryption.

Regularly rotate encryption keys for enhanced security.

✅ 3. Automate Compliance Monitoring

📊 Continuous compliance tracking helps businesses avoid penalties.

Use compliance automation tools to check adherence to standards like SOC 2, PCI-DSS, and NIST.

Automate audits with cloud security posture management (CSPM) tools.

🛠 Recommended Tools: AWS Config, Microsoft Defender for Cloud, Prisma Cloud

✅ 4. Strengthen Cloud Monitoring and Threat Detection

🕵️ Real-time threat monitoring is essential to prevent cyberattacks.

Deploy SIEM (Security Information and Event Management) tools to analyze threats.

Use Intrusion Detection & Prevention Systems (IDPS) to block attacks.

Enable security logging to track abnormal user behavior.

🛠 Recommended Tools: Splunk, IBM QRadar, Google Chronicle

✅ 5. Regular Security Assessments and Penetration Testing

🔍 Continuous testing helps identify vulnerabilities before attackers do.

Perform automated vulnerability scanning across cloud workloads.

Conduct penetration tests to assess cloud security gaps.

Keep security patches updated to mitigate software vulnerabilities.

Ensuring Compliance in the Cloud

Compliance requirements vary based on industry regulations. Here’s how businesses can maintain compliance in the cloud:

📜 Common Cloud Compliance Frameworks

✔ GDPR (General Data Protection Regulation) – Protects personal data for EU residents. ✔ HIPAA (Health Insurance Portability and Accountability Act) – Secures healthcare information. ✔ SOC 2 (Service Organization Control 2) – Ensures cloud security best practices. ✔ ISO 27001 – International standard for cloud security governance.

🚀 Compliance Best Practices

✔ Keep detailed audit logs to track access and changes. ✔ Use automated compliance reporting tools. ✔ Partner with cloud service providers (CSPs) that meet compliance standards.

How Salzen Cloud Enhances Security and Compliance

At Salzen Cloud, we help businesses implement end-to-end security and compliance solutions to protect their cloud infrastructure. Our automated security frameworks ensure continuous compliance monitoring, threat detection, and risk mitigation.

🔹 Advanced encryption and identity management 🔹 Real-time security monitoring and incident response 🔹 Automated compliance tracking for regulatory frameworks

🚀 Want to secure your cloud infrastructure? Contact Salzen Cloud today!

[stigasoft]

DevOps Services and Solutions: Driving Efficiency and Innovation

In today's fast-paced digital world, businesses strive for agility, efficiency, and reliability in their software delivery processes. This is where DevOps Consulting Services and Solutions play a pivotal role.

DevOps integrates development and operations teams, fostering a culture of collaboration and automation. By implementing best practices, tools, and workflows, businesses can streamline their software development lifecycle and deliver high-quality applications faster.

Key Benefits of DevOps Services:

Accelerated Deployment: Automate processes to reduce time-to-market.

Enhanced Collaboration: Break down silos between teams for smoother workflows.

Improved Quality: Continuous testing and monitoring ensure reliable and secure applications.

Scalability: Easily adapt to business growth and technological changes.

DevOps Consulting Services and Solutions Include:

Assessment and Strategy: Evaluating current processes and designing a tailored DevOps roadmap.

CI/CD Implementation: Setting up Continuous Integration and Continuous Deployment pipelines for seamless updates.

Infrastructure Automation: Utilizing tools like Terraform or Ansible for efficient resource management.

Monitoring and Feedback: Integrating tools like Prometheus or Splunk for real-time insights and improvements.

By adopting DevOps, businesses can achieve operational efficiency, faster innovation, and enhanced customer satisfaction. Whether you're a startup or an enterprise, DevOps Consulting Services and Solutions can transform your IT landscape and position your business for long-term success.

Ready to embrace DevOps? Partner with Stigasoft today to streamline your operations and drive innovation! Contact us to get started.

[web-age-solutions]

Conquer Your Data Challenges with Web Age Solutions' Data Engineering Courses

Organizations are constantly bombarded with information. The ability to effectively collect, store, transform, and analyze this information is crucial for gaining valuable insights and making informed decisions. This is where data engineering comes in. Data engineers are the architects of the data pipelines that power these insights.

Web Age Solutions empowers you to build a skilled data engineering team with our comprehensive suite of data engineering courses. Led by industry experts, our courses provide a blend of theoretical knowledge and practical application, equipping you with the skills to tackle critical data challenges head-on.

What You'll Gain from Our Data Engineering Courses:

Master Data Wrangling with Python: The "Data Engineering with Python" course delves into the practical application of Python, a widely used programming language in data engineering. You'll gain proficiency in popular Python libraries like NumPy, pandas, and Matplotlib, enabling you to manipulate, analyze, and visualize data effectively.

Bridge the Gap for Data-Driven Leaders: The "Data Engineering for Managers" course is designed for business leaders who want to understand the fundamentals of data engineering and its role in driving business outcomes. This course equips you to make informed decisions about data infrastructure and effectively communicate with your data engineering team.

Harness the Power of Operational Data Analytics: "Operational Data Analytics with Splunk" introduces you to the Splunk platform, a powerful tool for analyzing machine-generated data. Through hands-on exercises, you'll learn to onboard and forward data, monitor systems in real-time, and create informative data visualizations.

Embrace Cloud-Based Data Processing: "Cloud Data Engineering with NiFi on AWS or GCP" equips you with the skills to leverage Apache NiFi, a visual programming tool, for data processing on cloud platforms like AWS and GCP. This course blends theoretical concepts with practical guidance to help you automate data movement and transformation within cloud environments.

Build a Solid Foundation in Data Engineering: "Data Engineering, ETL and DataOps" provides a comprehensive introduction to core data engineering principles. You'll gain hands-on experience with ETL (Extract, Transform, Load) processes, data manipulation with pandas, data visualization using Python, and essential data operations (DataOps) practices. Additionally, the course covers Apache Spark and Spark SQL, further equipping you for success in data engineering and data analytics roles.

Investing in Your Data Engineering Skills:

By empowering your team with data engineering expertise, you unlock a wealth of benefits for your organization. Data engineers can help you:

Optimize Risk and Performance: Analyze data to identify potential risks and opportunities, allowing for proactive decision-making.

Enhance Data Quality: Implement processes and tools to ensure data accuracy and consistency, leading to reliable insights.

Forecast with Precision: Leverage data to predict future trends and customer behavior, enabling informed business strategies.

Streamline Business Processes: Automate data-driven workflows, improving efficiency and productivity across your organization.

Web Age Solutions: Your Partner in Data Engineering Education

Our data engineering courses are designed to cater to a wide range of learners, from beginners seeking a foundational understanding to experienced professionals looking to refine their skillset. We offer flexible delivery options, including on-site and instructor-led virtual classes, to accommodate your team's learning preferences.

Ready to unlock the power of your data? Browse our complete course catalog or contact Web Age Solutions today to discuss your data engineering training needs. With expert-led instruction and a practical approach, we will equip your team with the skills to transform your data into actionable insights.   

For more information visit: https://www.webagesolutions.com/courses/data-engineering-training

[techtweek]

Introduction

The DevOps approach has revolutionized the way software development and operations teams collaborate, significantly improving efficiency and accelerating the delivery of high-quality software. Understanding the DevOps roadmap is crucial for organizations looking to implement or enhance their DevOps practices. This roadmap outlines the key stages, skills, and tools necessary for a successful DevOps transformation.

Stage 1: Foundation

1.1 Understanding DevOps Principles: Before diving into tools and practices, it's essential to grasp the core principles of DevOps. This includes a focus on collaboration, automation, continuous improvement, and customer-centricity.

1.2 Setting Up a Collaborative Culture: DevOps thrives on a culture of collaboration between development and operations teams. Foster open communication, shared goals, and mutual respect.

Stage 2: Toolchain Setup

2.1 Version Control Systems (VCS): Implement a robust VCS like Git to manage code versions and facilitate collaboration.

2.2 Continuous Integration (CI): Set up CI pipelines using tools like Jenkins, GitLab CI, or Travis CI to automate code integration and early detection of issues.

2.3 Continuous Delivery (CD): Implement CD practices to automate the deployment of applications. Tools like Jenkins, CircleCI, or Spinnaker can help achieve seamless delivery.

2.4 Infrastructure as Code (IaC): Adopt IaC tools like Terraform or Ansible to manage infrastructure through code, ensuring consistency and scalability.

Stage 3: Automation and Testing

3.1 Test Automation: Incorporate automated testing into your CI/CD pipelines. Use tools like Selenium, JUnit, or pytest to ensure that code changes do not introduce new bugs.

3.2 Configuration Management: Use configuration management tools like Chef, Puppet, or Ansible to automate the configuration of your infrastructure and applications.

3.3 Monitoring and Logging: Implement monitoring and logging solutions like Prometheus, Grafana, ELK Stack, or Splunk to gain insights into application performance and troubleshoot issues proactively.

Stage 4: Advanced Practices

4.1 Continuous Feedback: Establish feedback loops using tools like New Relic or Nagios to collect user feedback and performance data, enabling continuous improvement.

4.2 Security Integration (DevSecOps): Integrate security practices into your DevOps pipeline using tools like Snyk, Aqua Security, or HashiCorp Vault to ensure your applications are secure by design.

4.3 Scaling and Optimization: Continuously optimize your DevOps processes and tools to handle increased workloads and enhance performance. Implement container orchestration using Kubernetes or Docker Swarm for better scalability.

Stage 5: Maturity

5.1 DevOps Metrics: Track key performance indicators (KPIs) such as deployment frequency, lead time for changes, mean time to recovery (MTTR), and change failure rate to measure the effectiveness of your DevOps practices.

5.2 Continuous Learning and Improvement: Encourage a culture of continuous learning and improvement. Stay updated with the latest DevOps trends and best practices by participating in conferences, webinars, and training sessions.

5.3 DevOps as a Service: Consider offering DevOps as a service to other teams within your organization or to external clients. This can help standardize practices and further refine your DevOps capabilities.

Conclusion

Implementing a DevOps roadmap requires careful planning, the right tools, and a commitment to continuous improvement. By following this comprehensive guide, organizations can streamline their development and operations processes, achieve faster delivery times, and enhance overall product quality.

For organizations looking to accelerate their DevOps journey, partnering with experienced DevOps service providers can provide the expertise and support needed to successfully navigate the DevOps landscape.

[bitsiousa-blog]

Bitsioinc.com have decades of experience in providing Splunk consulting services, We have expert consultants who can help you with any size of implementation which can be scaled over time.

[bitsioinc]

Bitsioinc specialize in Splunk Professional Services and Managed Services. We are experts at implementing premium apps such as ES, ITSI, Phantom & Signalfx.

[remotecareers]

Customer Success Manager – Remote – 20078

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone.

We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers.

At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success.

Learn more about Splunk careers and how you can become a part of our journey!

Splunk is the world’s first Data-to-Everything Platform.

Now organizations no longer need to worry about where their data is coming from, and they are free to focus on the business outcomes that data can deliver.

Role: Are you passionate about customer success and big data?

Are you a true hybrid professional with customer acumen and a proven technical foundation?

Then come be a member of Splunk Customer Success, providing mentorship, planning and oversight while demonstrating adoption and technical best practices.

The Customer Success Manager (CSM) is the key partner helping our valued customers achieve their strategic objectives and maximum value from their investment in Splunk.

Additionally, the CSM serves as the liaison between the customer and the Splunk ecosystem, streamlining partnership with Product Management, Engineering, Professional Services, Education, and others.

Responsibilities: I Want To and Can Do That!

* Orchestrate overall relationship with assigned clients, which will include: Growing adoption, ensuring retention, and happiness.* Work with clients to build Customer Success Plans, establishing critical goals, to aid the customer in achieving their objectives.* Measure and monitor customer’s achievement of critical and key performance indicators, reporting both internally to Splunk Account team and externally to Customer Sponsors and Executives.* Establish regular cadence (Weekly, Monthly, Quarterly) with each assigned client, to review executive dashboards, and program status.* Cement yourself as a trusted/strategic advisor with customers and drive continued value of our products and services.* Work closely with the Splunk Account Team (Account Manager, SE, PS and EDU) to find opportunities for new usage of Splunk across organizational functions.* Work to identify and/or develop upsell opportunities.* Advocate customer needs/issues cross-departmentally and program-manage customer concerns.* Assist and provide expert deployment, operational standard methodologies and establish a Splunk Center of Excellence.* Assist in workshops to help customers demonstrate the full value of Splunk solutions and lead periodic partner meetings.* Provide insight with respect to the availability and applicability of new products and features.* Support Professional Services with scoping, and selling follow-on and new service opportunities.* Support Education Services in identifying and recommending staff training opportunities.* Identify in cooperation with the Account team the key success criteria for Splunk deployment and drive customer happiness.* Act as the Splunk liaison for Splunk technical inquiries, issues or escalations.

This will include working with Splunk Support, Product Management (i.e.

roadmaps), or others as needed.* Maintain current functional and technical knowledge of the Splunk platform and future products.

Requirements: I’ve already done that or have that!

* 3-5 + years in a related function with direct customer advocacy and engagement experience in post-sales or professional services functions in Fortune 1000, mid-tier, start-up companies, or Public Sector organizations.* Since this role is essential to Splunk’s customer success initiative, you will have a rich history of growing customer happiness, adoption, and retention.* Prior experience in observability, Dev/Ops, cloud is desired* Confirmed ability to drive continuous product value.* Experience developing product use-cases with customers.* You will be a strong teammate, but still a self-starter.* Since this role is customer facing, you will possess exceptional verbal, written, social, presentation, and interpersonal skills.* Thrives in a multi-tasking environment and can adjust priorities on-the-fly while still having the ability to focus on details and be analytical.* Good technical and problem solving skills coupled with the ability to provide quick resolution to problems.* Prior experience conducting workshops to customers and discussing pros cons of implementing various technologies and business value.* You have played in the Enterprise and/or cloud software space.* Experience navigating and steering customer engagements to completion with a high level of customer happiness.* Willingness to travel up to 50% (estimated average 25%).

Since travel is based on customer and business need there may be more or less travel depending on location of customers.#Ll – Remote We value diversity at our company.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

The post Customer Success Manager – Remote – 20078 first appeared on Remote Careers.

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[marketsizereport]

Big Data as a Service Market Size, Sales, Growth Drivers, Opportunities, Industry Trends and Forecast to 2027

The global big data as a service market is growing at a rapid pace. Big data as a service (BDaaS) tool helps enterprises to implement, understand, and gain insights from a vast set of raw and unstructured information (data). Hence, the growing requirement of the structured data analysis is considered as a primary factor driving the growth of the market. Besides, the market growth attributes to the massive demand for predictive analysis and data science.

Moreover, improvements and technology upgrades by key big data service providers escalate the growth of the market. According to Market Research Future (MRFR), the Big Data as a Service Market Size is projected to reach over USD 18 BN by 2022, registering a whopping 28% CAGR throughout the forecast period (2016-2022). Increasing artificial intelligence related applications for improving the data visibility to secure private data boost the growth of the market.

Also, growing numbers of data science researches for data cataloging and data refining accelerate market growth. Additionally, rising predictive modeling tools, alongside the proliferation of interactive visualization and automation, influence the growth of the market. Increasing usages of customer analytics and risk reporting & threat management and the rising developments of predictive analytics substantiate the market growth.

Get a Free Sample @ https://www.marketresearchfuture.com/sample_request/1209

Big Data as a Service Market – Regional Analysis

North America dominates the global big data as a service market. The largest market share attributes to the higher adoption of big data as a service across various industrial segments. Besides, the early adoption of cloud-based deployment services drives the market growth, making it easier for industrial verticals to opt for big data analysis services to re-structure business functions & strategies.

Moreover, technological advances and the vast amount of unstructured big data accumulating due to the digital revolution across the industries in the region positively impact the growth of the market. Also, the presence of several notable players and the early adoption of connected devices boost the growth of the regional market.

Europe holds the second-largest share in the global big data as a service market. The big data as a service market has seen an increased application in IT & telecommunication sector in the region, which fosters market growth. Additionally, the market growth is driven by the increasing deployment of advanced big data as a service features across the industries. Furthermore, increasing deployments of advanced big data as a service feature increase the size of the European BDaaS market.

The Asia Pacific big data as a service market is emerging as a profitable market, globally. Factors such as the increasing uptake of cloud-based services and enormous opportunities across businesses propel the growth of the regional market. Also, the growing adoption of big data as a service influences the growth of the regional market. The APAC big data as a service market is expected to create a substantial revenue pocket over the forecast period, valuing considerably.

Global Big Data as a Service Market – Competitive Analysis

The well-established BDaaS market appears fragmented due to the presence of several key big data as a service companies. Big data as service providers incorporate strategic initiatives such as mergers & acquisitions, collaboration, expansion, and product launch to gain a competitive advantage. Big data service providers focus on innovations and the development of new solutions, fueling the already intensified market competition.

Major Players:

Players leading the global BDaaS market include Oracle Corporation (US), IBM (US), Microsoft Corporation (US), Google (US), Amazon Web Services (US), SAP SE (Germany), New Relic (US), Arcadia Data (US), Cazena (US), Tableau Software (US), DataTorrent (US), VMware, Inc (US), Hewlett-Packard (US), Splunk (US), DataHero (US), SAS Institute (US), and Teradata Corporation (US), among others.

Industry/ Innovation/ Related News

September 23, 2020 ---- Big Data Exchange (BDx), a content exchange platform with data centers in China, announced its partnership with SpaceBelt Pte. Ltd.(the US), a subsidiary of Cloud Constellation Corporation. The association is focused on offering secured data storage services through the Cloud Constellation SpaceBeltTM Data Security-as-a-Service (DSaaS) offering.

The use of secure data access, cloud applications, storage ability, and effective data processing between offices on the SpaceBelt network enables businesses to avoid the unreliability of terrestrial networks. BDx is the only data center service provider in Asia so far to partner with SpaceBelt to offer increased access to SpaceBelt's space-based secure data storage services, expanding SpaceBelt's innovative data security platform in Asia.

Global Big Data as a Service Market – Segmentation

The report is segmented into five dynamics;

By Services         : HaaS (Hadoop as a Service), DaaS (Data as a Service), and AaaS (Analytics as a Service).

By Organization Size      : Small & Medium Enterprises and Large Enterprises.

By Deployment : On-Premise, On-Demand, and Hybrid.

By Industry         : BFSI, Manufacturing, Retail, Healthcare, Media & Entertainment, Government, and others.

By Regions                          : Asia Pacific, Europe, Americas, and the Rest-of-the-World.

Browse Complete Report @ https://www.marketresearchfuture.com/reports/big-data-as-a-service-market-1209

About Market Research Future:

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help to answer all their most important questions.

Contact:                                                                                    

Market Research Future

+1 646 845 9312

Email: sales@marketresearchfuture.com

[orbismarketreports]

Global IT Operations Market Key Players Change the View of the Global Face of Industry by 2028: ORACLE, IBM, SAP, HEWLETT-PACKARD (HP), SPLUNK, EVOLVEN SOFTWARE, MICROSOFT, VMWARE, EXTRAHOP NETWORKS, PRELERT ,etc.

Introduction and Scope: Global IT Operations Market The novel coronavirus has continued to spread across the world and has had a deterring impact on the Global IT Operations Market . Investors, product managers, business owners, startups, and others are constantly tracking the impact of the pandemic on the markets, consumer behavior & buying patterns, trading activities, distribution channels, and more. This report study provides the latest estimates and analysis regarding the current market trends, buying patterns, growth opportunities, future forecast, and more about the market. This report is an exhaustive study of the implications of the pandemic (including the positive and negative implications) on the global IT Operations market.

Vendor Profile: ORACLE IBM SAP HEWLETT-PACKARD (HP) SPLUNK EVOLVEN SOFTWARE MICROSOFT VMWARE EXTRAHOP NETWORKS PRELERT

The study presented here about the global IT Operations market studies the impact of participation in the IT Operations industry, it evaluates the market trends and forecasts about the market. The report studies the main factors influencing the purchase of products and services and contributing to the overall growth of the market. The study also looks into the most popular companies and their brands in the market, evaluates their market performance, and helps the market participants reach a certain inference detailed in the interpretation and findings. The report finds out the most preferred end-use segments and the most preferred industrial segments of the global IT Operations market.

Find full report and TOC here: @ https://www.orbismarketreports.com/global-it-operations-market-2021-analysis-by-growth-trends-and-forecast-2028?utm_source=PujaM4

The market is roughly segregated into: • Segmentation by Type Big Companies Small And Medium-Sized Enterprises

• Segmentation by Application Medical Retail Manufacturing Tourism Communication The Media Other

This IT Operations industry research report identifies the key vendors in the global market and presents a comprehensive analysis of the industry by end-use, by country, and by geography. The study finds out the emerging segments and the primary growth factors for the global IT Operations market.

Do You Have Any Query or Specific Requirement? Ask Our Industry Expert@ https://www.orbismarketreports.com/enquiry-before-buying/169614?utm_source=PujaM4

Highlights of the Report

• The report reviews the biggest competitors across various segments in the global IT Operations market. • The report explores different buyers and sellers through the global IT Operations market’s value chain. • The report identifies the top 100 marketplaces in the year 2021 for the products and services. • The report has identified the specific categories of products that compete with the international marketplace giants. • The product categories that ensure high profit for the vendors and other participants are presented in the study. • The new entrants and alternative products and services that pose a significant threat to the competitors in the future are highlighted in the report. • Business models adopted by the leading players for partnering with the other growing competitors. • The report exploits unexplored market spaces that may enable the market participants to compete with the leading players. • The report puts together the key takeaways that the market participants can start implementing straight away.

Table of Contents Chapter One: Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Players Covered: Ranking by IT Operations Revenue 1.4 Market Analysis by Type 1.4.1 Global IT Operations Market Size Growth Rate by Type: 2020 VS 2028 1.5 Market by Application 1.5.1 Global IT Operations Market Share by Application: 2020 VS 2028 1.6 Study Objectives 1.7 Years Considered

Chapter Two: Global Growth Trends by Regions 2.1 IT Operations Market Perspective (2015-2028) 2.2 IT Operations Growth Trends by Regions 2.2.1 IT Operations Market Size by Regions: 2015 VS 2020 VS 2028 2.2.2 IT Operations Historic Market Share by Regions (2015-2020) 2.2.3 IT Operations Forecasted Market Size by Regions (2021-2028) 2.3 Industry Trends and Growth Strategy 2.3.1 Market Top Trends 2.3.2 Market Drivers 2.3.3 Market Challenges 2.3.4 Porter’s Five Forces Analysis 2.3.5 IT Operations Market Growth Strategy 2.3.6 Primary Interviews with Key IT Operations Players (Opinion Leaders)

Looking for provoking fruitful enterprise relationships with you!

Find Our Lates Reports @ https://issuu.com/orbispuja/docs/global_stacking_and_packaging_solutions_market

About Us : With unfailing market gauging skills, has been excelling in curating tailored business intelligence data across industry verticals. Constantly thriving to expand our skill development, our strength lies in dedicated intellectuals with dynamic problem solving intent, ever willing to mold boundaries to scale heights in market interpretation.

Contact Us : Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155

[web-age-solutions]

Data Engineering Courses – Equipping Your Team with the Skills to Flourish

The world today is highly data-driven. To stay relevant in this technological realm and enjoy continued growth, IT teams need to master data engineering skills. Data engineering courses offer incredible opportunities to learn how to design, implement, and manage data infrastructure and pipelines across diverse industries.

Let us now explore some of the most popular data engineering courses and how these courses equip teams to grow.

Data Engineering with Python Training Course – To Shine as A Data Analyst

The data engineering with Python training course has been designed to offer the fundamental skills required to create, process, and evaluate data using the Python programming language. 

During the course, learners will be introduced to manipulation libraries, data visualization tools, and data processing techniques. If you are keen to excel as a Data Analyst, Python Developer, or Data Engineer in e-commerce, finance, or healthcare industries, this is the best data engineering course out there.

Operational Data Analytics - To Explore IT Operations Engineer Roles

This will be an ideal course for IT Operations Engineers, Data Analysts, or Security Analysts. The operational data analytics with Splunk Training course is currently one of the best courses in this field.

Such data engineering courses focus on operational data analytics, acquiring insights into data, and monitoring operational performance. As learners progress through the course, they will learn how to process and visualize data to ensure accurate monitoring and troubleshooting.

Excel In Managerial Roles with Data Engineering for Managers Training

The course has been designed to equip managers and leaders with the skills to monitor data engineering initiatives in their respective organizations.

Through such data engineering courses, managers learn about best practices for managing data engineering projects, fundamentals of data architecture, and ideal governance practices for data architecture. Once you have been certified, you will be capable enough to lead data engineering teams, excel in strategic decision-making, and enjoy successful project results.

Final word

Data engineering courses offer excellent options for teams looking for ways to enhance their skills in the highly competitive data-driven realm. Whether you need to master Python to tackle data manipulation or utilize Splunk to manage operational analytics, these courses will equip your team with knowledge and updated skills to excel across diverse industries.

From health care and finance to cyber security and e-commerce, Data Engineers now have a crucial role in ensuring efficiency, innovation, and productivity in organizations across different industries worldwide. A deep understanding of data engineering skills and experience gained through practical sessions will position your team for continued advancement.

Partner with a reliable and reputed course provider like Web Age Solutions to ensure you receive accredited and recognized certifications that will prepare your team for unprecedented growth.

For more information visit: https://www.webagesolutions.com/courses/data-engineering-training

[bitsiousa-blog]

Tested and Effective Splunk Upgrade Services by BitsIO

Would you like to get custom Splunk Upgrade Services? Are you looking for a reliable team to handle the whole project? Just get in touch with BitsIO and leave the rest on the experts. They are ready to offer you bespoke Splunk Upgrade Services based on the highest level of standards as well as according to your business goals. BitsIO has the best staff where the specialists can assist you perfectly and get the best services. The professional team of Splunk service personnel will offer a unique approach so that you will make most out of your experience. Here, you will enjoy the most affordable solutions you can't find anywhere else. The best thing about these services is that they can be tailored specifically to your organization’s needs no matter how large or small your company is. You can always rely on this team because the experts have much experience in this field and they have already served hundreds of companies. Through these years, BitsIO inc. has become a reliable company that delivers splunk security implementation and IT services. If you are looking for economical, timely, effective, and fast solutions based on your business needs then hurry up to contact this team. BitsIO will have all your Splunk security needs covered in no time.

Start your Splunk journey with BitsIO and you will enjoy the best value for your investment. The company offers you round the clock support as well. No matter it is splunk enterprise security implementation, development, training or health checks, the expert team can handle everything smoothly and timely. Not all companies deliver technical support but BitsIO offers it and even customizes every service. BitsIO is uniquely designed to make machine data accessible and usable to everyone. This company uses the holistic 360-degree approach which results in drawing better ROI on your Splunk investments. The professionals at bitsIO have all the know-how of Splunk system. Thus, you can enjoy the highest quality services yet pay the most economical prices. This team understands that the mission of every company is different so the experts are dedicated to offering only bespoke solutions based on each firm's goals.

As Splunk Implementation Partners  , the experts of this company offer you not only implementation, but also Data onboarding from various data sources, Splunk Distributed Architecture review, Indexing Strategy to save storage costs, Health Check of Splunk infrastructure, End to End support for Splunk, Splunk Managed Services and much more. You can always rely on these Splunk Implementation Partners because they hold Certifications in Power User / Splunk Admin / Splunk Architect / Splunk Consultant Level I & II /Enterprise Security & ITSI which means that they are reliable and have much experience in this field. Imagine or not, but more than 500 companies of various domains like Healthcare, Finance, Retail etc. have got help from this company and this collaboration with the Splunk Partners is growing day by day. BitsIO has established to help these companies get positive bottom-line results. With this team, you will avoid cyber threats and you won't face issues in processing big data efficiently. So never hesitate to deal with Splunk Partners and let the professionals take care of your big data!

[healthcare00897]

Big Data in Healthcare Market - Global Industry Insights, Trends, Outlook, and Opportunity Analysis, 2018-2026

Big data in healthcare market revenue is expected to grow at lucrative rate over the forecast period primarily due to increased digitalization in industrial process. Digitization is transforming industrial processes, functions, products, and services. Advent of e-commerce has resulted in a sudden spurt in data being generated by various companies. Also, with decades of research and development activities across the healthcare industry, there is a large amount of data, referred to as 'big data', piled up with host organizations. It is therefore essential to ensure optimum utilization of this data for reducing costs, providing targeted products and services, and avoiding duplication of work. Big data solution helps simplifying and analyze complex and diverse data, a task that cannot be achieved using conventional software and hardware. Moreover, such kind of data cannot be managed with trivial data management tools and methods. Various tools such as Pentaho, Hadoop, Cloudera, and MongoDB are available in the market for the same. These tools help in data cleaning, mining, and analyzing of big data. There are also various data visualization tools such as Tableau, Silk, and Chartio that help in presenting the data in a more convenient and readable form.

https://www.coherentmarketinsights.com/ongoing-insight/Big-data-in-healthcare-market-16

Big data helps healthcare companies to mitigate the risk of losing millions of dollars in revenue and profits through their conventional strategic decision making methods. Globally, big data in healthcare market scenario can be segmented on the basis of application, analytics type, delivery model, and end users.

Descriptive Analytics

Predictive Analytics

Prescriptive Analytics

Clinical Analytics

Financial Analytics

Operational and Administrative Analytics

Population Health Analytics

On-premise

On-demand

Payers

Providers

Third party care organizations

Pharmaceutical companies, payers, and experts are using big data analytics/solutions to analyze and obtain insights about industry trends and accordingly make detailed and accurate projections about the market. Based on the insights from big data solutions, various recipients can make informed decisions to improve their products or services.

Dearth of Skilled Manpower to Inhibit Growth of Big Data in Healthcare

Although, the market is huge in the developed nations, particularly in the U.S., dearth of trained personnel for analyzing big data is projected to limit the growth of this market in North America. Moreover, factors such as decreasing profit margins, slowdown in the global economy, and lack of skilled manpower is inhibiting growth of big data implementation in the healthcare industry. Some of the other challenges for big data in healthcare include data fragmentation, security issues, and lack of standardization. Furthermore, big data solution providers need to ensure compliance with regulations laid by the Health Insurance Portability and Accountability Act of 1996 (HIPAA). These factors are especially prevalent in developing economies of Asia Pacific and Latin America due to lack of effective healthcare infrastructure and inadequate supportive government regulations. Increasing cost pressure and lack of trained professionals dissuades healthcare providers from implementing expensive systems supporting big data solutions. However, improvement in IT infrastructure in developing economies over the near future is expected to be a major contributor for increase in demand for big data.

Fragmented Market

There are various small and global players offering big data software and services. The small regional players offer big data services at low costs, which creates a high entry barrier for global players looking to establish their footprint in emerging markets. The market is highly fragmented, with various players offering services differentiated in terms of pricing and inclusions. Some of the key companies in the global big data in healthcare market include Hewlett-Packard Co., Teradata Corporation, Opera Solutions, Cognizant Technology Solutions, Siemens Healthcare Gmbh, Mu Sigma, Splunk Inc., Cloudera, EMC, IBM, Calpont Corporation, and Oracle Corporation.

Key Developments

Key players in the market are focused on partnering with various governments to launch big-data healthcare services. For instance, in August 2019, KT Corporation, a South Korea-based telecommunication provider, launched the Global Epidemic Prevention Platform (GEPP) in Ghana, in collaboration with the Ghana Health Service (GHS), a Ghanaian government body.

Major market players are also adopting acquisition strategies to expand their product portfolio. For instance, in June 2019, Cognizant announced to acquire Zenith Technologies, a privately-held life sciences manufacturing technology services company headquartered in Cork, Ireland.

Market players are adopting marketing strategies to increase their customer base. For instance, in March 2018, Siemens Healthineers presented its Digital Ecosystem Store at the Healthcare Information and Management Systems Society (HIMSS) 2018 held in Las Vegas, U.S. The store provides all digital offerings and allows users to search or request a quotation or trial and download offerings as part of specific subscription models.

[ritukhatri]

Big Data Market is projected to grow by USD 142.5 billion during 2020-2024

The big data market size has the potential to grow by USD 142.5 billion during 2020-2024, and the market’s growth momentum will accelerate during the forecast period.

Know more: https://www.technavio.com/talk-to-us?report=IRTNTR40885&type=sample&src=report

This report provides a detailed analysis of the market by deployment (on-premise, cloud-based, and hybrid) and geography (APAC, Europe, MEA, North America, and South America). Also, the report analyzes the market’s competitive landscape and offers information on several market vendors, including Alphabet Inc., Amazon.com Inc., Dell Technologies Inc., Hewlett Packard Enterprise Co., International Business Machines Corp., Microsoft Corp., Oracle Corp., SAP SE, SAS Institute Inc., and Splunk Inc.

Market Overview

Browse TOC and LoE with selected illustrations and example pages of big data market

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Market Competitive Analysis

The market is fragmented, and the degree of fragmentation will increase during the forecast period. Market vendors are focusing on increasing the number of partnerships and acquisitions to offer and expand their big data services and position their services closer to the end-users to deliver faster services with minimal latency. Microsoft Corp., Oracle Corp., SAP SE, SAS Institute Inc., and Splunk Inc. are some of the major market participants. Although the growing Investment in Smart City Initiatives will offer immense growth opportunities, data security issues will challenge the growth of the market participants. To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

To help clients improve their market position, this big data market forecast report provides a detailed analysis of the market leaders and offers information on the competencies and capacities of these companies. The report also covers details on the market’s competitive landscape and provides information on the products offered by various companies. Moreover, this big data market analysis report also includes information on the upcoming trends and challenges that will influence market growth. This will help companies create strategies to make the most of future growth opportunities.

This report provides information on the production, sustainability, and prospects of several leading companies, including:

Alphabet Inc.

Amazon.com Inc.

Dell Technologies Inc.

Hewlett Packard Enterprise Co.

International Business Machines Corp.

Microsoft Corp.

Oracle Corp.

SAP SE

SAS Institute Inc.

Splunk Inc.

Big Data Market: Segmentation by Region

For more insights on the market share of various regions Request for a FREE sample now!

North America had the largest big data market share in 2019, and the region will offer several growth opportunities to market vendors during the forecast period. The digital transformation initiatives undertaken by enterprises and the rising need for enterprises to reduce operational expenses will significantly influence big data market growth in this region.

47% of the market’s growth will originate from North America during the forecast period. The US is one of the critical markets for big data in North America. Market growth in this region will be slower than the growth of the market in APAC and South America.

Big Data Market: Segmentation by Type

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The demand for big data services is growing due to the rising demand from enterprises. They are implementing big data software solutions and modernizing infrastructure to gain a competitive edge in the market. Additionally, vendors are also offering big data services to help enterprises manage their operations efficiently.

Market growth in this segment will be faster than the growth of the market in the software type segment. This report provides an accurate prediction of the contribution of all the segments to the growth of the big data market size.

Big Data Market: Key Drivers and Trends

Factors such as the adoption of smart grid technologies, the use of IT to improve traffic, the number of Wi-Fi enabled points, mobile application landscape, and video surveillance are considered to recognize a city as a smart city. Therefore, global companies such as IBM, Microsoft, Cisco Systems, and Schneider Electric are supporting the development of smart cities by announcing initiatives and developing IT solutions. Moreover, big data analytics bring data pre-processing and decision-making capabilities closer to the data source and subsequently reduces data deluge and delays in communication. Additionally, the adoption of big data helps in processing data collected through connected IoT devices and analyzes and recognizes patterns to reshape the various areas of development. Therefore, a rise in the number of smart cities has increased the adoption of big data analytics, which will significantly drive the growth of the big data market during the forecast period.

The combination of blockchain with big data is one of the critical big data market trends as it helps enterprises track and store the information and data generated from various sensors.

Using the combination of blockchain and big data, enterprises can identify the reasons for failure in production, without interrupting the operations.

Vendors are, therefore, partnering with the end-users to integrate big data analytics into their production process.

Abu Dhabi National Oil Company (ADNOC) announced that it has partnered with IBM to work on piloting a blockchain-based automated system across the full value chain.

The use of blockchain helps to enhance the business value derived from big data implementations,

During 2020-2024, the market will grow at a CAGR of over 13%.

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Big Data Market: Key Highlights of the Report for the Forecast Period 2020-2024

CAGR of the market during the forecast period 2020-2024

Detailed information on factors that will drive big data market growth during the next five years

Precise estimation of the big data market size and its contribution to the parent market

Accurate predictions on upcoming trends and changes in consumer behavior

The growth of the big data market industry across APAC, Europe, MEA, North America, and South America

A thorough analysis of the market’s competitive landscape and detailed information on vendors

Comprehensive details of factors that will challenge the growth of big data market vendors

[un-enfant-immature]

StackRox nabs $26.5M for a platform that secures containers in Kubernetes

Containers have become a ubiquitous cornerstone in how companies manage their data, a trend that has only accelerated in the last eight months with the larger shift to cloud services and more frequent remote working due to the coronavirus pandemic. Alongside that, startups building services to enable containers to be used better are also getting a boost.

StackRox, which develops Kubernetes-native security solutions, says that its business grew by 240% in the first half of this year, and on the back of that, it is announcing today that it has raised $26.5 million to expand its business into international markets, and to continue investing in its R&D.

The funding, which appears to be a Series C, has an impressive list of backers. It is being led by Menlo Ventures, with Highland Capital Partners, Hewlett-Packard Enterprise, Sequoia Capital and Redpoint Ventures all also participating. Sequoia and Redpoint are previous investors, and the company has raised around $60 million to date.

HPE is a strategic backer in this round:

“At HPE, we are working with our customers to help them accelerate their digital transformations,” said Paul Glaser, VP, Hewlett Packard Enterprise, and Head of Pathfinder. “Security is a critical priority as they look to modernize their applications with containers. We’re excited to invest in StackRox and see it as a great fit with our new software HPE Ezmeral to help HPE customers secure their Kubernetes environments across their full application life cycle. By directly integrating with Kubernetes, StackRox enables a level of simplicity and unification for DevOps and Security teams to apply the needed controls effectively.”

Kamal Shah, the CEO, said that StackRox is not disclosing its valuation, but he confirmed it has definitely gone up. For some context, according to PitchBook data, the company was valued at $145 million in its last funding round, a Series B in 2018. Its customers today include the likes of Priceline, Brex, Reddit, Zendesk and Splunk, as well as government and other enterprise customers, in a container security market that analysts project will be worth some $2.2 billion by 2024, up from $568 million last year.

StackRox first got its start in 2014, when containers were starting to pick up momentum in the market. At the time, its focus was a little more fragmented, not unlike the container market itself: it provided solutions that could be used with Docker containers as well as others. Over time, Shah said that the company chose to hone its focus just on Kubernetes, originally developed by Google and open-sourced, and now essentially the de-facto standard in containerisation.

“We made a bet on Kubernetes at a time when there were multiple orchestrators, including Mesosphere, Docker and others,” he said. “Over the last two years Kubernetes has won the war and become the default choice, the Linux of the cloud and the biggest open source cloud application. We are all Kubernetes all the time because what we see in the market are that a majority of our customers are moving to it. It has over 35,000 contributors to the open source project alone, it’s not just Red Hat (IBM) and Google.” Research from CNCF estimates that nearly 80% of organizations that it surveyed are running Kubernetes in production.

That is not all good news, however, with the interest underscoring a bigger need for Kubernetes-focused security solutions for enterprises that opt to use it.

Shah says that some of the typical pitfalls in container architecture arise when they are misconfigured, leading to breaches; as well as around how applications are monitored; how developers use open-source libraries; and how companies implement regulatory compliance. Other security vulnerabilities that have been highlighted by others include the use of insecure container images; how containers interact with each other; the use of containers that have been infected with rogue processes; and having containers not isolated properly from their hosts.

But Shah noted, “Containers in Kubernetes are inherently more secure if you can deploy correctly.” And to that end that is where StackRox’s solutions attempt to help: the company has built a multi-purposes toolkit that provides developers and security engineers with risk visibility, threat detection, compliance tools, segmentation tools and more. “Kubernetes was built for scale and flexibility, but it has lots of controls so if you misconfigure it it can lead to breaches. So you need a security solution to make sure you configure it all correctly,” said Shah.

He added that there has been a definite shift over the years from companies considering security solutions as a optional element into one that forms part of the consideration at the very core of the IT budget — another reason why StackRox and competitors like TwistLock (acquired by Palo Alto Networks) and Aqua Security have all seen their businesses really grow.

“We’ve seen the innovation companies are enabling by building applications in containers and Kubernetes. The need to protect those applications, at the scale and pace of DevOps, is crucial to realizing the business benefits of that innovation,” said Venky Ganesan, partner, Menlo Ventures, in a statement. “While lots of companies have focused on securing the container, only StackRox saw the need to focus on Kubernetes as the control plane for security as well as infrastructure. We’re thrilled to help fuel the company’s growth as it dominates this dynamic market.”

“Kubernetes represents one of the most important paradigm shifts in the world of enterprise software in years,” said Corey Mulloy, General Partner, Highland Capital Partners, in a statement. “StackRox sits at the forefront of Kubernetes security, and as enterprises continue their shift to the cloud, Kubernetes is the ubiquitous platform that Linux was for the Internet era. In enabling Kubernetes-native security, StackRox has become the security platform of choice for these cloud-native app dev environments.”

[workfromhomeyoutuber]

Float: Senior DevOps Engineer | Kubernetes

Headquarters: New York, NY URL: https://www.float.com/

Float is the world's leading resource scheduling app, helping more than 3,000 creative teams plan their time. 

We are looking for a remote Senior DevOps Engineer to join our team of 19.

You will work with our engineering team to provision, automate, and tune our microservice-based architecture. Your focus will be on reliable deployments, high availability, and scalability that allows our engineers to quickly and safely build features on our Kubernetes-based infrastructure (GKE on GCP). You will be a strong communicator and collaborator, with experience working remotely and/or across time zones.

Reporting to the CTO, the key responsibility of this role is building, maintaining, and streamlining Float's automated build and release pipelines within our GCP and Kubernetes infrastructure. Other key responsibilities include:

Create, maintain, and iterate CI/CD pipelines and scripts

Ensure site reliability through actionable monitoring, alerting, and escalation procedures

Support and evolve internal DevOps best practices

Troubleshoot and resolve infrastructure issues/outages

Contribute to the design and implementation of Float features via infrastructure support

Lead internal data security policies and practices

Maintain and improve data processing compliance standards, including GDPR, Privacy Shield, and SOC 2

Requirements

Proven track record as a DevOps engineer working with Kubernetes and Docker in a production environment

DevOps engineering experience working with GCP cloud architecture products (GKE, Google Serverless, CloudSQL, etc.) in production

Solid experience with CI/CD tools (CircleCI, Jenkins, Travis, Spinnaker, CodeFresh, etc.) and pipeline-based build processes

Deep understanding of network, application, and infrastructure security including DNS, networking, TCP/IP, SSL, and firewall/VPN concepts

Experience deploying and supporting distributed microservices-based containerized architecture

Proficient, hands-on scripting experience in Bash, Python, Go, etc.

Ability to leverage application and system metrics, log events, and wire data to analyze performance

Production experience with at least one configuration management framework (Terraform preferred)

Strong Linux fundamentals

Understanding and experience with one or more logging and monitoring tools (Pagerduty, Datadog, Appdynamics, Sumologic, VividCortex, ELK, etc.)

Knowledge of NGINX, RabbitMQ, and Redis

Experience with Helm

Bonus points for experience in:

Logging and log analysis systems (ELK, Stackdriver, Splunk)

Experience with Linux system administration

Automated application testing (API, consumer contracts, Selenium, etc.)

Load testing

User management on cloud platform (IAM administration)

Domain management/Let's Encrypt

Experience with one or more compliance certifications including Privacy Shield, SOC 2, or equivalent

Benefits

💼 Co-working expense budget: A budget for when you'd like to work out of home

🖥 Home office expense budget: We help kickstart or upgrade your home office setup

💪 Health & fitness expense budget: A budget for the activities that help keep your mind and body in shape

🏖 Work where you want: As long as you have great internet speeds, be wherever you want to be

🏰 Annual team meetup: We get together as a full team every year. The last two were in Athens and Lisbon

⚕️ Medical, dental & vision: In the US, we pay 50% of your coverage, including partners and children

💰 Team liquidity pool: Rewarding our team if there's ever an exit

We’re a 100% remote and global team. We’re looking for the best of the best, so your location is not important. We encourage people of different backgrounds and perspectives to join our team and deliver their best work. The salary range is US $90K - $120K. Compensation is benchmarked relative to experience and equitable to other roles at Float. If you are based outside the US, as half our team is, you will be hired as a Contractor. Applications close on Friday, 17th April. 

To apply: https://apply.workable.com/floatjobs/j/28BC3C2CD1/apply/

from We Work Remotely: Remote jobs in design, programming, marketing and more https://ift.tt/3bEhcV3 from Work From Home YouTuber Job Board Blog https://ift.tt/2Uuuy0p

[nuadox]

Tony Flath on the evolution from cloud to AI-enabled multicloud

- By Phil Siarri , Nuadox -

Tony Flath is an Edmonton, Canada-based tech influencer who specializes in various fields including cloud computing, cybersecurity, IoT and artificial intelligence to name a few. I had the opportunity to sit down with him and discuss the evolution of cloud technology which is progressively utilizing advanced AI frameworks.

Phil Siarri: Hi Tony, how are you? Can you tell our audience a little bit about your professional experience?

Tony Flath: Hi Phil, I’m doing great, thanks!  I hope that you are doing well too.  My professional experience has been an interesting one, from years of sales of complex solutions to 15 years of human resources management practitioner experience with a CHRP designation to 2016.  Now working as a telecommunications and technology advisor with specialty in cloud and cybersecurity.  As well over the last 5 years I’ve focused my social media efforts as “@TmanSpeaks” across social media where I am recognized as a technology influencer for cloud, cybersecurity, and artificial intelligence. I have built an amazing global technology community and represent brands like IBM Cloud as an IBM Partner and Microsoft Canada as a Microsoft Change Agent.

Image: Tony Flath, Twitter.

PS: What was your first introduction to cloud computing?

TF: Years back I worked with Ceridian Canada first as an HR product consultant and implemented complex HR systems with some pre-sales to account executives and solution consultants in the sales organization. I first learned on-premises and then was involved in the first HR SaaS before anyone even knew what cloud was. These years gave me great insight into devOps application development and cloud.  

PS: Back then, did you think “the cloud” would become such a massive sector?  

TF: Hell no! I certainly did see that shared infrastructure, platform, and application just made sense and devOps mentality meant you could build and innovate along the way. If anything this made me look at the world of work in this way and is certainly part of the reason I became a cloud disruptor.  

PS: Can you describe what a multicloud strategy is and how it can be beneficial to a given organization?

TF: There are many clouds now, from public to private, to running on virtualized software “on-prem”. First there was the notion that hybrid cloud was required to manage cloud from one ‘single pane of glass’, one GUI to control all, this at first was a lot of hype without good control. Containers and Kubernetes have been showing great advancement for true multicloud control. Just look at IBM’s pending purchase of Red Hat and their release last year of the world’s first multicloud manager. Other public cloud providers like Amazon and Google have certainly showed more development and services for multicloud. What multicloud offers an organization is the ability to manage many workloads across many platforms with governance and devOps controls providing cost savings, increased controls, & application development enablement.  

PS: According to you, what are promising, relatively untapped arenas for cloud providers in 2019 (and beyond)?

TF: IoT and edge computing are going to further cement multicloud with fog computing at the edge. IoT with rich Analytics and Big Data will continue to fuel machine learning and deep learning. Where I see huge opportunity is automation of code where artifical intelligence tools will know what data trends mean to customers and auto develop new code to better support application. There has already been evidence that AI neural networks are exceeding human capabilities. 5G will rock IoT with massive app development and at some point desktop and mobile will become one.  

PS: Can you expand on as to what AI can bring to cloud computing?

TF: AI is already bringing some game to cloud computing. First, let’s look at cloud cybersecurity. If you look at leading edge SIEM solutions like LogRhythm and Splunk, these solutions use “threat intelligence” obtained through machine learning and artificial intelligence to automate and use predictive analytics to detect possible threats as they happen based on patterns and traits known to contribute to cybercrime efforts. Microsoft’s recent announcement of Azure Sentinel, a complete cloud automated SIEM with cybersecurity professionals constantly monitoring, detecting and isolating in literally seconds. Another thing that AI can bring to cloud is better orchestration and control of a mass number of workloads running across clouds - a multicloud that not only enables better management of various cloud platforms but automates and controls those platforms for efficiencies and cost saving. A good example of this is Densify, that offers automated cloud and container workload management which results in significant savings.  

PS: What are important considerations when it comes to building and scaling AI-enabled cloud solutions?

TF: First and foremost, you need to have a good reason for why you are looking to cloud AI before just jumping into the “how am I going to do this?”… don’t just throw tech at it!  Look at the economic outcomes from both cost savings and solution development enablement and then do your homework by looking at solutions and making sure to look at a proof of concept as many solutions are early days and you want to test and then scale deployment.  

PS: Thanks for your time Tony, anything you’d like to add before we wrap up? Any announcements or projects you are working on?

TF: Thanks so much, Phil!  Really enjoyed the chat! I’m working with Microsoft Canada on some exciting cybersecurity events taking place in the spring. I’m doing some interesting work in the multicloud space. I’m anxiously waiting on IBM Cloud on a follow up podcast on the Red Hat acquisition, of course all the legal needs to be complete. Other than that, I’m looking forward to spring and summer in Edmonton and any events that I may end up at.

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