Visibility With Veeam One

•

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During VeeamOn2018 Malaysia, i've presented about Veeam One capabilities and share new features on Update 4

Visibility with Veeam ONE
Lai Yoong Seng
Systems Engineer

Physical
Public cloud
SaaS
Managed
cloud
Edge/
IoT
Universal APIs
Veeam
Backup &
Recovery
Replication
and failover
Visibility and
control
SaaSCloud Physical
Private
cloud
Any app, any data on any cloud
Veeam® Backup & ReplicationTM
Veeam Agent for Microsoft Windows
Veeam Agent for Linux
Veeam ONETM
Veeam Management PackTM
Veeam Availability Orchestrator
Veeam Backup for Microsoft Office 365
Veeam Availability for AWS
Veeam Availability Console
Veeam
Hyper-Availability
Platform

What is Veeam ONE?

Visibility

Outage avoidance
Visibility

Visibility
Availability more than a heartbeat

Outage avoidance
Visibility

Outage avoidance
Detect:
• Alarms (e.g., RPOs out of whack)
• Job failed or backup window missed
Troubleshoot:
• Host and datastores performance analysis
• Configuration change tracking
Optimize:
• Undersized and oversized VMs
• Poor backup resources utilization

Outage avoidance capacity planning
Historical performance analysis and trends:
• Hosts CPU and memory usage
• Datastores space and read/write utilization
• Backup repository space
What if scenarios:
• Host failure modelling
• Amount of VMs to provision
• Backup resources capacity

Performance
Visibility

Performance alarms
100+ predefined alarms for:
• Backup infrastructure, including Veeam Agents
• vSphere, including vCD
• Hyper-V
• Internal
Various alarm types:
• Performance
• Event
• Condition-based

Alarm-related features
Suppression and exclude:
• For resource-consuming operations, such as backup
• For particular objects
SNMP traps:
• Send SNMP traps to third-party tools
Alarm reports:
• Current state report
• Historical analysis

What’s Next in Update 4

New features in Veeam ONE 9.5
Update 4
Automated remediation:
• Automate common remedies (e.g., delete snapshots)
• Automate backup tasks (e.g., add to job, VeeamZIPTM
)
• Automatic and manual execution
Application-level alarms:
• Both Windows and Linux VMs
• Agentless data collection
• Service state and number, processes performance
Business view integration:
• Only BV group admin receive alarms

Conclusion
Veeam ONE provide visibility
Outage avoidance
Performance optimization

STAGE 1 Aggregation
Backup
STAGE 2
Orchestration
Automation
Visibility
STAGE 3
STAGE 4
STAGE 5
Behavior BasedPolicy Based
5 Stages
of Intelligent Data Management

Thank you

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Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Top 10 Most Downloaded Games on Play Store in 2024

Top 10 Most Downloaded Games on Play Store in 2024

Top 10 Most Downloaded Games on Play Store in 2024

SynarionITSolutions

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

The Digital Insurer

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Scaling API-first – The story of a global engineering organization

Scaling API-first – The story of a global engineering organization

Scaling API-first – The story of a global engineering organization

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

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Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

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Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

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Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

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Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

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Automating Google Workspace (GWS) & more with Apps Script

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TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

Visibility With Veeam One

1. Visibility with Veeam ONE Lai Yoong Seng Systems Engineer

2. Physical Public cloud SaaS Managed cloud Edge/ IoT Universal APIs Veeam Backup & Recovery Replication and failover Visibility and control SaaSCloud Physical Private cloud Any app, any data on any cloud Veeam® Backup & ReplicationTM Veeam Agent for Microsoft Windows Veeam Agent for Linux Veeam ONETM Veeam Management PackTM Veeam Availability Orchestrator Veeam Backup for Microsoft Office 365 Veeam Availability for AWS Veeam Availability Console Veeam Hyper-Availability Platform

3. What is Veeam ONE?

5. Outage avoidance Visibility

6. Visibility Availability more than a heartbeat

7. Outage avoidance Visibility

8.

9. Outage avoidance Detect: • Alarms (e.g., RPOs out of whack) • Job failed or backup window missed Troubleshoot: • Host and datastores performance analysis • Configuration change tracking Optimize: • Undersized and oversized VMs • Poor backup resources utilization

10. Outage avoidance capacity planning Historical performance analysis and trends: • Hosts CPU and memory usage • Datastores space and read/write utilization • Backup repository space What if scenarios: • Host failure modelling • Amount of VMs to provision • Backup resources capacity

11. Performance Visibility

12. Performance alarms 100+ predefined alarms for: • Backup infrastructure, including Veeam Agents • vSphere, including vCD • Hyper-V • Internal Various alarm types: • Performance • Event • Condition-based

13. Alarm-related features Suppression and exclude: • For resource-consuming operations, such as backup • For particular objects SNMP traps: • Send SNMP traps to third-party tools Alarm reports: • Current state report • Historical analysis

14. What’s Next in Update 4

15. New features in Veeam ONE 9.5 Update 4 Automated remediation: • Automate common remedies (e.g., delete snapshots) • Automate backup tasks (e.g., add to job, VeeamZIPTM ) • Automatic and manual execution Application-level alarms: • Both Windows and Linux VMs • Agentless data collection • Service state and number, processes performance Business view integration: • Only BV group admin receive alarms

16. Conclusion Veeam ONE provide visibility Outage avoidance Performance optimization

17. STAGE 1 Aggregation Backup STAGE 2 Orchestration Automation Visibility STAGE 3 STAGE 4 STAGE 5 Behavior BasedPolicy Based 5 Stages of Intelligent Data Management