Abstract:
Site Reliability Engineering (SRE) and AIOps are two of the most discussed topics in the IT world these days. SRE incorporates Infrastructure and Operation aspects to create scalable and reliable software systems that are highly automatic and self-healing. Artificial Intelligence for IT Operations (AIOps) takes a further step to automate and enhance IT operations by using data analytics and machine learning. This session covers the benefits of SRE & AIOps and how to adapt it.
Key Takeaways:
1. Understand the concepts of SRE & AIOps
2. Understand the importance and benefits of SRE & AIOps
3. How do we adapt to SRE & AIOps?
Doing DevOps for Big Data? What You Need to Know About AIOpsDevOps.com
AIOps has the promise to create hyper-efficiency within DevOps teams as they struggle with the diversity, complexity, and rate of change across the entire stack.
DevOps teams working with big data face unique challenges due to the complexity and diversity of the components that comprise the big data stack. At the same time, AIOps is maturing to the point of creating true efficiencies among these DevOps teams as they struggle against the diversity, complexity, dynamic behavior and rate of change across the entire stack.
Customers migrating workloads to AWS have a variety of tools to monitor their infrastructure, generating large volumes of alarms from services such as Amazon CloudWatch, AWS Config, and other third party tools. Without careful curation, events and tickets can exponentially multiply and overwhelm ITSM systems and the teams operating them, obscuring real problems and wasting time. Using advanced Machine Learning techniques, customers can reduce noise from these events and tickets and increase their service quality. In this presentation, we explore challengs of adopting AIOps, and provide examples of how AIOPs can be used to reduce Mean Time To Restore and improve customer outcomes
As more and more IT organizations look to improve their operational capacity with AIOps, there are certain steps that are necessary to help ensure a successful deployment. This session will walk attendees through proven best practices for preparing for AIOps.
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
Modernizing Infrastructure Monitoring and Management with AIOpsOpsRamp
Artificial intelligence for IT operations (AIOps), with its promises of smarter automation, data ingestion, and actionable insights, is all the rage in the world of IT infrastructure monitoring and management. But how do you fundamentally implement it in an organization that is simultaneously balancing the demands of legacy, cloud, and hyperconverged digital infrastructure?
Join the OpsRamp team to see a simplified roadmap to bring AIOps to hybrid infrastructure monitoring and management, and watch a demo of the OpsRamp platform in action.
You will learn:
How AIOps can drive faster alert correlation, deduplication, and suppression
How you can observe AIOps in action before you actually push a solution to production
How you can bring AIOps to both your IT operations and IT service management practices simultaneously
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
Amidst an industry cloud of confusion about what “AIOps” is and what it can do, these slides--based on the webinar from EMA research--delineates a clear path to victory for business and IT stakeholders seeking to use machine learning to optimize the performance of critical business services.
Doing DevOps for Big Data? What You Need to Know About AIOpsDevOps.com
AIOps has the promise to create hyper-efficiency within DevOps teams as they struggle with the diversity, complexity, and rate of change across the entire stack.
DevOps teams working with big data face unique challenges due to the complexity and diversity of the components that comprise the big data stack. At the same time, AIOps is maturing to the point of creating true efficiencies among these DevOps teams as they struggle against the diversity, complexity, dynamic behavior and rate of change across the entire stack.
Customers migrating workloads to AWS have a variety of tools to monitor their infrastructure, generating large volumes of alarms from services such as Amazon CloudWatch, AWS Config, and other third party tools. Without careful curation, events and tickets can exponentially multiply and overwhelm ITSM systems and the teams operating them, obscuring real problems and wasting time. Using advanced Machine Learning techniques, customers can reduce noise from these events and tickets and increase their service quality. In this presentation, we explore challengs of adopting AIOps, and provide examples of how AIOPs can be used to reduce Mean Time To Restore and improve customer outcomes
As more and more IT organizations look to improve their operational capacity with AIOps, there are certain steps that are necessary to help ensure a successful deployment. This session will walk attendees through proven best practices for preparing for AIOps.
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
Modernizing Infrastructure Monitoring and Management with AIOpsOpsRamp
Artificial intelligence for IT operations (AIOps), with its promises of smarter automation, data ingestion, and actionable insights, is all the rage in the world of IT infrastructure monitoring and management. But how do you fundamentally implement it in an organization that is simultaneously balancing the demands of legacy, cloud, and hyperconverged digital infrastructure?
Join the OpsRamp team to see a simplified roadmap to bring AIOps to hybrid infrastructure monitoring and management, and watch a demo of the OpsRamp platform in action.
You will learn:
How AIOps can drive faster alert correlation, deduplication, and suppression
How you can observe AIOps in action before you actually push a solution to production
How you can bring AIOps to both your IT operations and IT service management practices simultaneously
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
Amidst an industry cloud of confusion about what “AIOps” is and what it can do, these slides--based on the webinar from EMA research--delineates a clear path to victory for business and IT stakeholders seeking to use machine learning to optimize the performance of critical business services.
AIOps is becoming imperative to the management of today’s complex IT systems and their ability to support changing business conditions. This slide explains the role that AIOps can and will play in the enterprise of the future, how the scope of AIOps platforms will expand, and what new functionality may be deployed.
Watch the webinar here. https://www.moogsoft.com/resources/aiops/webinar/aiops-the-next-five-years
Survive the fog of system development! Developers' lives have gotten more complex in the last decade. There is too much to learn and understand now, and you need a co-pilot. Let AIOps be that co-pilot.
In this webinar, we'll share use cases and discuss:
What is AIOps?
Why AI and ML are well-suited for Ops and DevOps
A guide for assessing where to automate
What Does Artificial Intelligence Have to Do with IT Operations?Precisely
From the early days of IT, organizations have grappled with the challenges of understanding how well their infrastructure is performing in support of the business. They have used a plethora of tools to detect, manage, and resolve problems that are causing disruption of services, but still struggle to achieve a unified, cross-domain understanding of what is happening across their IT infrastructure. Fortunately, over the past few years analytics platforms like Splunk, Elastic, and others have emerged to address requirements around IT Operations Analytics (ITOA). Now today the buzz is around AIOps – Artificial Intelligence Operations. But what is AIOps, and what can it do to help organizations address IT challenges. In this presentation you will get a better understanding of:
What is Artificial Intelligence for IT Operations
What are the required technologies for success at AIOps
What challenges exist for achieving AIOPs
Doing DevOps for Big Data? What You Need to Know About AIOpsDevOps.com
AIOps has the promise to create hyper-efficiency within DevOps teams as they struggle with the diversity, complexity, and rate of change across the entire stack.
DevOps teams working with big data face unique challenges due to the complexity and diversity of the components that comprise the big data stack. At the same time, AIOps is maturing to the point of creating true efficiencies among these DevOps teams as they struggle against the diversity, complexity, dynamic behavior and rate of change across the entire stack.
Since 2012, leading IT research firm EMA has conducted more than five separate AIOps research projects, including reviews of more than 70 AIOps-related customer deployments. Deep insights into this topic continue with these slides—based on the research webinar--that provide the latest insights into how to best succeed in AIOps deployments and unify IT in the process.
No Ops? Or Yes, Ops! The Future of Operations in a DevOps WorldOpsRamp
DevOps is supposed to bring the worlds of software development and IT operations together, leveraging automation to shift the responsibilities of ops personnel away from traditional ops tasks.
In some circles, the natural evolution of this trend leads to ‘NoOps’ – where data centers are entirely lights-out, with nary an ops person in sight. For enterprises, the ops role will certainly evolve, but rumors of its demise have been greatly exaggerated.
In the future, IT capabilities will become a set of shared services with central governance that supports autonomy across the entire organization, so that teams can be as close to the customer experience as possible.
Join Jason Bloomberg, president of analyst firm Intellyx, and Darren Cunningham, vice president, marketing from OpsRamp, who will discuss:
What should be the role of IT ops in the new modern, hybrid, multi-cloud, cloud native world
What are the new skills, approaches, and strategies that ops teams will require
How DevOps and other transformative trends will actually make ops more important, not less
Bringing AIOps to Hybrid Cloud Monitoring and ManagementOpsRamp
Artificial intelligence for IT Operations is purpose-built to ingest large sources of data from infrastructure and point tools, and produce actionable insights on root-cause analysis and incident remediation. How do you bring these innovations to an enterprise ecosystem that’s also in the middle of cloud migration and overall digital transformation?
You will learn:
How artificial intelligence can transform your hybrid monitoring practice, making it more proactive and business-service-centric than ever before
How to build towards a unified and coordinated approach to IT operations management and IT service management
Key insights and tangible ideas for getting buy-in on your eventual adoption of AIOps, making for a smooth transition to the future
Learn about the OpsRamp platform: https://www.opsramp.com/the-opsramp-platform/
Learn about service-centric AIOps: https://www.opsramp.com/solutions/service-centric-aiops/
Read our blog: blog.opsramp.com
Download the State of AIOps Report: info.opsramp.com/state-of-aiops
Calculate your cost savings: opsramp.com/ROI
2019 Performance Monitoring and Management Trends and InsightsOpsRamp
Join 451 Research's Senior Analyst Nancy Gohring and OpsRamp's Vice President of Marketing Darren Cunningham as they discuss the latest trends in IT monitoring and management.
This interactive webinar will review the latest research and feature a live Q&A on what's hot, what's new, and what's next in this dynamic and distributed market. Sponsored by OpsRamp, this webinar will also provide an overview of OpsRamp's service-centric AIOps platform and how OpsRamp customers are controlling the chaos with a new approach to IT operations as a service.
To learn more, visit https://www.opsramp.com/about-opsramp...
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more -
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
Splunk’s machine learning framework mixed with Splunk’s Event Management capabilities gives operations teams the opportunity to proactively act and automate on an event before it becomes an IT outage. This session will detail and demonstrate how to predict a health score of your business service, proactively take action based on those predictions and publish to your collaborative messaging and automation solutions.
Artificial Intelligence for IT Operations (AIOps) is the concept of using big data analytics, machine learning, and other advanced technologies to enhance IT operations.
Research from leading IT analyst firm EMA has found that enterprises are applying AIOps solutions to network infrastructure today to enhance service assurance and automation.
These slides from the webinar featuring EMA Research and VeloCloud, now part of VMware, explore how research enterprises are driving toward self-healing networks with AIOps solutions and transforming network operations.
Context Is Critical for IT Operations - How Rich Data Yields Richer Results OpsRamp
This is the keynote presentation by Bhanu Singh delivered at Cloud Expo Santa Clara. He talks about the importance of context in AIOps and how rich data makes a difference in AIOps effectiveness.
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
Webinar Slides - How KeyBank Liberated its IT Ops from Rules-Based Event Mana...Moogsoft
Managing IT Operations is a challenging job that’s only getting harder. Humans can no longer effectively process the volumes of event data intended to help identify and remediate IT issues. So what’s an enterprise to do?
This fundamental question leads to another: is your legacy event management system still up to the job? For most enterprises, their legacy tool is based on technology that still relies on RULES.
KeyBank and Moogsoft describe the technical limitations of rules-based solutions, and how AIOps solutions represent the intelligent automation of the future. They also cover:
* How to move your monitoring regime from Reactive to Proactive to Predictive
* How AIOps can support the delivery of a great Customer Experience (Cx)
* The KeyBank story of AIOps adoption.
AIOps - Steps Towards Autonomous Operations - AWS Summit Sydney 2019Amazon Web Services
Automation has reaped efficiencies in business and IT operations and extending it with predictive maintenance will further improve reliability. In this session, learn how to architect a predictive and preventative remediation solution for your applications and infrastructure resources. We show you how to collect performance and operational intelligence, recognise and predict patterns using AI and machine learning, and fix issues. We show you how to achieve it using AWS native solutions, Amazon SageMaker and Amazon CloudWatch.
The 6 Steps to Becoming a Top-Performing Organization in Managing IT OperationsOpsRamp
Join OpsRamp and Bojan Simic, Founder and Chief Analyst at The Digital Enterprise Journal, for an insightful discussion on how top-performing IT organizations have successfully redefined the role of IT operations, including:
- Deploying platforms for greater operational intelligence
- Modernizing IT incident management strategies
- Incorporating automation into everything ITOps
- Taking a customer-centric approach to managing IT
https://www.brighttalk.com/webcast/17791/378577?utm_source=OpsRamp&utm_medium=brighttalk&utm_campaign=378577
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
AIOps: Anomalous Span Detection in Distributed Traces Using Deep LearningJorge Cardoso
The field of AIOps, also known as Artificial Intelligence for IT Operations, uses algorithms and machine learning to dramatically improve the monitoring, operation, and maintenance of distributed systems. Its main premise is that operations can be automated using monitoring data to reduce the workload of operators (e.g., SREs or production engineers). Our current research explores how AIOps – and many related fields such as deep learning, machine learning, distributed traces, graph analysis, time-series analysis, sequence analysis, and log analysis – can be explored to effectively detect, localize, and remediate failures in large-scale cloud infrastructures (>50 regions and AZs). In particular, this lecture will describe how a particular monitoring data structure, called distributed trace, can be analyzed using deep learning to identify anomalies in its spans. This capability empowers operators to quickly identify which components of a distributed system are faulty.
DevOps began as a way to deliver availability and survive agile methodologies. Along the way to CI/CD, it has become an overwhelming set of tools cobbled together to deploy code. Simultaneously, applications moved to mobile and IoT devices and from simple application servers to front end, backend, cloud, and microservices. The monitor stage of DevOps has exceeded the human capability for comprehension.
We are missing things and that leads to outages. We need to augment ourselves with ML & automation.
During this session, I want you to think about your last war-room incident and consider whether you are reactive or proactive. By augmenting ourselves through AIOps, we move towards the nirvana of being preemptive.
SPEAKER BIO:
Marco Coulter, Technical Evangelist | AppDynamics
As the Technical Evangelist for AIOps at AppDynamics, Marco Coulter is passionate about the experience humans have when interacting with technology. A former startup CTO, Marco has progressed from operator to leadership roles at CSC, CA Technologies, and more recently 451 Research, where he led the data science team. He earned the nickname "the tech-whisperer" for his skills in translating business drivers for a technical audience and technical concepts for business leaders. When taking the rare break from technology, Marco can be found harvesting fresh vegetables from his NYC garden.
SRE (service reliability engineer) on big DevOps platform running on the clou...DevClub_lv
SRE (service reliability engineer). The talk is to explain the SRE philosophy and the principles of production engineering and operations in clouds.
(Language – English)
Pavlo is ADOP (Accenture DevOps Platform) Service Reliability Team Lead, SRE practitioner. Has more then 18 years of IT experience in Ops and Dev.
On the Application of AI for Failure Management: Problems, Solutions and Algo...Jorge Cardoso
Artificial Intelligence for IT Operations (AIOps) is a class of software which targets the automation of operational tasks through machine learning technologies. ML algorithms are typically used to support tasks such as anomaly detection, root-causes analysis, failure prevention, failure prediction, and system remediation. AIOps is gaining an increasing interest from the industry due to the exponential growth of IT operations and the complexity of new technology. Modern applications are assembled from hundreds of dependent microservices distributed across many cloud platforms, leading to extremely complex software systems. Studies show that cloud environments are now too complex to be managed solely by humans. This talk discusses various AIOps problems we have addressed over the years and gives a sketch of the solutions and algorithms we have implemented. Interesting problems include hypervisor anomaly detection, root-cause analysis of software service failures using application logs, multi-modal anomaly detection, root-cause analysis using distributed traces, and verification of virtual private cloud networks.
AIOps is becoming imperative to the management of today’s complex IT systems and their ability to support changing business conditions. This slide explains the role that AIOps can and will play in the enterprise of the future, how the scope of AIOps platforms will expand, and what new functionality may be deployed.
Watch the webinar here. https://www.moogsoft.com/resources/aiops/webinar/aiops-the-next-five-years
Survive the fog of system development! Developers' lives have gotten more complex in the last decade. There is too much to learn and understand now, and you need a co-pilot. Let AIOps be that co-pilot.
In this webinar, we'll share use cases and discuss:
What is AIOps?
Why AI and ML are well-suited for Ops and DevOps
A guide for assessing where to automate
What Does Artificial Intelligence Have to Do with IT Operations?Precisely
From the early days of IT, organizations have grappled with the challenges of understanding how well their infrastructure is performing in support of the business. They have used a plethora of tools to detect, manage, and resolve problems that are causing disruption of services, but still struggle to achieve a unified, cross-domain understanding of what is happening across their IT infrastructure. Fortunately, over the past few years analytics platforms like Splunk, Elastic, and others have emerged to address requirements around IT Operations Analytics (ITOA). Now today the buzz is around AIOps – Artificial Intelligence Operations. But what is AIOps, and what can it do to help organizations address IT challenges. In this presentation you will get a better understanding of:
What is Artificial Intelligence for IT Operations
What are the required technologies for success at AIOps
What challenges exist for achieving AIOPs
Doing DevOps for Big Data? What You Need to Know About AIOpsDevOps.com
AIOps has the promise to create hyper-efficiency within DevOps teams as they struggle with the diversity, complexity, and rate of change across the entire stack.
DevOps teams working with big data face unique challenges due to the complexity and diversity of the components that comprise the big data stack. At the same time, AIOps is maturing to the point of creating true efficiencies among these DevOps teams as they struggle against the diversity, complexity, dynamic behavior and rate of change across the entire stack.
Since 2012, leading IT research firm EMA has conducted more than five separate AIOps research projects, including reviews of more than 70 AIOps-related customer deployments. Deep insights into this topic continue with these slides—based on the research webinar--that provide the latest insights into how to best succeed in AIOps deployments and unify IT in the process.
No Ops? Or Yes, Ops! The Future of Operations in a DevOps WorldOpsRamp
DevOps is supposed to bring the worlds of software development and IT operations together, leveraging automation to shift the responsibilities of ops personnel away from traditional ops tasks.
In some circles, the natural evolution of this trend leads to ‘NoOps’ – where data centers are entirely lights-out, with nary an ops person in sight. For enterprises, the ops role will certainly evolve, but rumors of its demise have been greatly exaggerated.
In the future, IT capabilities will become a set of shared services with central governance that supports autonomy across the entire organization, so that teams can be as close to the customer experience as possible.
Join Jason Bloomberg, president of analyst firm Intellyx, and Darren Cunningham, vice president, marketing from OpsRamp, who will discuss:
What should be the role of IT ops in the new modern, hybrid, multi-cloud, cloud native world
What are the new skills, approaches, and strategies that ops teams will require
How DevOps and other transformative trends will actually make ops more important, not less
Bringing AIOps to Hybrid Cloud Monitoring and ManagementOpsRamp
Artificial intelligence for IT Operations is purpose-built to ingest large sources of data from infrastructure and point tools, and produce actionable insights on root-cause analysis and incident remediation. How do you bring these innovations to an enterprise ecosystem that’s also in the middle of cloud migration and overall digital transformation?
You will learn:
How artificial intelligence can transform your hybrid monitoring practice, making it more proactive and business-service-centric than ever before
How to build towards a unified and coordinated approach to IT operations management and IT service management
Key insights and tangible ideas for getting buy-in on your eventual adoption of AIOps, making for a smooth transition to the future
Learn about the OpsRamp platform: https://www.opsramp.com/the-opsramp-platform/
Learn about service-centric AIOps: https://www.opsramp.com/solutions/service-centric-aiops/
Read our blog: blog.opsramp.com
Download the State of AIOps Report: info.opsramp.com/state-of-aiops
Calculate your cost savings: opsramp.com/ROI
2019 Performance Monitoring and Management Trends and InsightsOpsRamp
Join 451 Research's Senior Analyst Nancy Gohring and OpsRamp's Vice President of Marketing Darren Cunningham as they discuss the latest trends in IT monitoring and management.
This interactive webinar will review the latest research and feature a live Q&A on what's hot, what's new, and what's next in this dynamic and distributed market. Sponsored by OpsRamp, this webinar will also provide an overview of OpsRamp's service-centric AIOps platform and how OpsRamp customers are controlling the chaos with a new approach to IT operations as a service.
To learn more, visit https://www.opsramp.com/about-opsramp...
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more -
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
Splunk’s machine learning framework mixed with Splunk’s Event Management capabilities gives operations teams the opportunity to proactively act and automate on an event before it becomes an IT outage. This session will detail and demonstrate how to predict a health score of your business service, proactively take action based on those predictions and publish to your collaborative messaging and automation solutions.
Artificial Intelligence for IT Operations (AIOps) is the concept of using big data analytics, machine learning, and other advanced technologies to enhance IT operations.
Research from leading IT analyst firm EMA has found that enterprises are applying AIOps solutions to network infrastructure today to enhance service assurance and automation.
These slides from the webinar featuring EMA Research and VeloCloud, now part of VMware, explore how research enterprises are driving toward self-healing networks with AIOps solutions and transforming network operations.
Context Is Critical for IT Operations - How Rich Data Yields Richer Results OpsRamp
This is the keynote presentation by Bhanu Singh delivered at Cloud Expo Santa Clara. He talks about the importance of context in AIOps and how rich data makes a difference in AIOps effectiveness.
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
Webinar Slides - How KeyBank Liberated its IT Ops from Rules-Based Event Mana...Moogsoft
Managing IT Operations is a challenging job that’s only getting harder. Humans can no longer effectively process the volumes of event data intended to help identify and remediate IT issues. So what’s an enterprise to do?
This fundamental question leads to another: is your legacy event management system still up to the job? For most enterprises, their legacy tool is based on technology that still relies on RULES.
KeyBank and Moogsoft describe the technical limitations of rules-based solutions, and how AIOps solutions represent the intelligent automation of the future. They also cover:
* How to move your monitoring regime from Reactive to Proactive to Predictive
* How AIOps can support the delivery of a great Customer Experience (Cx)
* The KeyBank story of AIOps adoption.
AIOps - Steps Towards Autonomous Operations - AWS Summit Sydney 2019Amazon Web Services
Automation has reaped efficiencies in business and IT operations and extending it with predictive maintenance will further improve reliability. In this session, learn how to architect a predictive and preventative remediation solution for your applications and infrastructure resources. We show you how to collect performance and operational intelligence, recognise and predict patterns using AI and machine learning, and fix issues. We show you how to achieve it using AWS native solutions, Amazon SageMaker and Amazon CloudWatch.
The 6 Steps to Becoming a Top-Performing Organization in Managing IT OperationsOpsRamp
Join OpsRamp and Bojan Simic, Founder and Chief Analyst at The Digital Enterprise Journal, for an insightful discussion on how top-performing IT organizations have successfully redefined the role of IT operations, including:
- Deploying platforms for greater operational intelligence
- Modernizing IT incident management strategies
- Incorporating automation into everything ITOps
- Taking a customer-centric approach to managing IT
https://www.brighttalk.com/webcast/17791/378577?utm_source=OpsRamp&utm_medium=brighttalk&utm_campaign=378577
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
AIOps: Anomalous Span Detection in Distributed Traces Using Deep LearningJorge Cardoso
The field of AIOps, also known as Artificial Intelligence for IT Operations, uses algorithms and machine learning to dramatically improve the monitoring, operation, and maintenance of distributed systems. Its main premise is that operations can be automated using monitoring data to reduce the workload of operators (e.g., SREs or production engineers). Our current research explores how AIOps – and many related fields such as deep learning, machine learning, distributed traces, graph analysis, time-series analysis, sequence analysis, and log analysis – can be explored to effectively detect, localize, and remediate failures in large-scale cloud infrastructures (>50 regions and AZs). In particular, this lecture will describe how a particular monitoring data structure, called distributed trace, can be analyzed using deep learning to identify anomalies in its spans. This capability empowers operators to quickly identify which components of a distributed system are faulty.
DevOps began as a way to deliver availability and survive agile methodologies. Along the way to CI/CD, it has become an overwhelming set of tools cobbled together to deploy code. Simultaneously, applications moved to mobile and IoT devices and from simple application servers to front end, backend, cloud, and microservices. The monitor stage of DevOps has exceeded the human capability for comprehension.
We are missing things and that leads to outages. We need to augment ourselves with ML & automation.
During this session, I want you to think about your last war-room incident and consider whether you are reactive or proactive. By augmenting ourselves through AIOps, we move towards the nirvana of being preemptive.
SPEAKER BIO:
Marco Coulter, Technical Evangelist | AppDynamics
As the Technical Evangelist for AIOps at AppDynamics, Marco Coulter is passionate about the experience humans have when interacting with technology. A former startup CTO, Marco has progressed from operator to leadership roles at CSC, CA Technologies, and more recently 451 Research, where he led the data science team. He earned the nickname "the tech-whisperer" for his skills in translating business drivers for a technical audience and technical concepts for business leaders. When taking the rare break from technology, Marco can be found harvesting fresh vegetables from his NYC garden.
SRE (service reliability engineer) on big DevOps platform running on the clou...DevClub_lv
SRE (service reliability engineer). The talk is to explain the SRE philosophy and the principles of production engineering and operations in clouds.
(Language – English)
Pavlo is ADOP (Accenture DevOps Platform) Service Reliability Team Lead, SRE practitioner. Has more then 18 years of IT experience in Ops and Dev.
On the Application of AI for Failure Management: Problems, Solutions and Algo...Jorge Cardoso
Artificial Intelligence for IT Operations (AIOps) is a class of software which targets the automation of operational tasks through machine learning technologies. ML algorithms are typically used to support tasks such as anomaly detection, root-causes analysis, failure prevention, failure prediction, and system remediation. AIOps is gaining an increasing interest from the industry due to the exponential growth of IT operations and the complexity of new technology. Modern applications are assembled from hundreds of dependent microservices distributed across many cloud platforms, leading to extremely complex software systems. Studies show that cloud environments are now too complex to be managed solely by humans. This talk discusses various AIOps problems we have addressed over the years and gives a sketch of the solutions and algorithms we have implemented. Interesting problems include hypervisor anomaly detection, root-cause analysis of software service failures using application logs, multi-modal anomaly detection, root-cause analysis using distributed traces, and verification of virtual private cloud networks.
A Study on the Application of Web-Scale IT in Enterprises in IoT Era Hassan Keshavarz
The concept of Web-Scale IT has become a pattern of global class computing that delivers the capabilities of large cloude sevice provider in the enterprise IT industry and business sector. Based on the Gartner report, WebScale IT is one of the technology trends probably to have a significant effect on companies over the next three years, by 2017. Web-Scale IT is clearly defined as the all things accouring in large scale could service firms such as Google, Amazon, Netfilx, Facebook and so on, that enables them to get high levels of agility and scalability by using new processes and architecures according to the report. This paper scrutinizes how technology can change the business style for IoT using in the future. It is expected that using of Web-Scale IT is critical in this turning point of changing the business method so as to IoT using in the future. For achieve tha aim, the first step toward the WebScale IT for many organization should be bringing Developing and Operations together. This is the movment known as “DevOps”.
How Dealertrack Optimizes the DevOps Toolchain, FutureStack17New Relic
Dealertrack explains how they optimize their DevOps toolchain at FutureStack17.
Be sure to subscribe and follow New Relic at:
https://twitter.com/NewRelic
https://www.facebook.com/NewRelic
https://www.youtube.com/NewRelicInc
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AIOps is the future scope of innovation, designed with multi-layered technology to enhance IT operations using Big data analytics and Machine learning. Integration of Machine learning and Big data on AIOps process to successful IT operational tasks.
Big data + Machine learning = Successful IT Operations
AIOps hold Big data by gathering heterogeneous data from various IT operational app devices to encounter issues in real-time scenarios that automatically produce accurate outcomes with
Artificial Intelligence and Data Analysis, which drives robust enhancements for organizations.
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SOC Lessons from DevOps and SRE by Anton ChuvakinAnton Chuvakin
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A perspective on cloud computing and enterprise saa s applicationsGeorge Milliken
A perspective on Cloud computing and SaaS for Enterprise applications by a SaaS industry veteran.
Please make sure you read the speakers notes, there's a significant amount of content there.
Imagine an airport on a tropical island. Friendly airport staff assists travelers on their way to the taxis parked in front of the terminal. Bigger groups got bigger vehicles, smaller are directed to smaller cars. This cozy and old fashioned service is good for small airports. But can you imagine this model on a really big airline hub? No? Then, why we still want to have some process done manually in data centers?
The challenge for organizations is not whether or not to modernize their Enterprise Resource Planning (ERP ) Systems, but how to modernize their ERP systems.
How to Migrate Applications Off a MainframeVMware Tanzu
Ah, the mainframe. Peel back many transactional business applications at any enterprise and you’ll find a mainframe application under there. It’s often where the crown jewels of the business’ data and core transactions are processed. The tooling for these applications is dated and new code is infrequent, but moving off is seen as risky. No one. Wants. To. Touch. Mainframes.
But mainframe applications don’t have to be the electric third rail. Modernizing, even pieces of those mainframe workloads into modern frameworks on modern platforms, has huge payoffs. Developers can gain all the productivity benefits of modern tooling. Not to mention the scaling, security, and cost benefits.
So, how do you get started modernizing applications off a mainframe? Join Rohit Kelapure, Consulting Practice Lead at Pivotal, as he shares lessons from projects with enterprises to move workloads off of mainframes. You’ll learn:
● How to decide what to modernize first by looking at business requirements AND the existing codebase
● How to take a test-driven approach to minimize risks in decomposing the mainframe application
● What to use as a replacement or evolution of mainframe schedulers
● How to include COBOL and other mainframe developers in the process to retain institutional knowledge and defuse project detractors
● How to replatform mainframe applications to the cloud leveraging a spectrum of techniques
Presenter : Rohit Kelapure, Consulting Practice Lead, Pivotal
Modernize and Simplify IT Operations Management for DevOps SuccessDevOps.com
Whether your organization is already leveraging tools that are cloud based tools or you are part of an organization undergoing transformation, you may have the challenge of a hybrid set of workload deployments, both cloud based and on-premises. Join us for this webinar to explore the common operational challenges many DevOps teams are facing today, how IT operations best practices could be leveraged for use in a DevOps methodology and how modern operations management tools can help you carry out those best practices to meet your goals on an on-going basis.
Azure Migration
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2. AGILE, DEVOPS AND SRE..
2
Agile Development
• Transformed the way software being built
• Collaboration & quicker feedback loop
• Better control, early value
DevOps
• Cultural transformation focused on delivery speed
• Enable automation wherever possible
• Make development and operation process frictionless
Site Reliability Engineering
Focus to improve the reliability of software in production by implementing the best practices in engineering and operations
3. Tesco Transport Systems Adjustment3
SITE RELIABILITY ENGINEERING
SRE incorporates Engineering, Infrastructure and
Operation aspects to create scalable and reliable
software systems that are highly automatic and
self-healing.
SRE aims at DevOps to NoOps - “what happens
when a software engineer is tasked with what
used to be called operations.” - Ben Treynor,
Founder of Google SRE
The purpose of SRE is to achieve reliability by
implementing the best practices in engineering
and operations.
SRE can be thought of as an extreme
implementation of DevOps.
5. SITE RELIABILITY ENGINEER
5
The ideal site reliability engineer is either a software engineer with a good administration
background or a highly skilled system administrator with knowledge of coding and automation –
“Part systems administrator, part second tier support and part developer”
50% cap on the aggregate "ops" work for all SREs. SRE team must spend the remaining 50% of its
time actually doing development activities
An SRE team is responsible for,
• availability,
• latency,
• performance,
• efficiency,
• change management,
• monitoring,
• emergency response,
• capacity planning
7. SRE - METRICS & MEASUREMENTS
7
Service Level Indicators that measures failures per request by calculating request latencySLI
Service Level Objectives that sets goals for System availability, performance, success ratesSLO
Service level agreements that are driven from SLO and dictate commercial penaltiesSLA
It is a measure of risk and the amount of headroom you have above the SLAError Budget
Mean time to repair is average time required to repair a failureMTTR
Predicted elapsed time between inherent failures of a system during operationMTTF
8. TAKE AWAY..
8
..and AIOps takes a further step from SRE towards automating IT operations using
advanced analytics !!!
9. COGNITIVE LEARNING – INTELLIGENT OPERATIONS (AIOps)
9
Insight Predict
Big Data Machine
Learning
10. Definition - What Does AIOps Mean?
10
AIOps is a methodology that is on the frontier of enterprise IT
operations. AIOps automates various aspects of IT and utilizes
the power of artificial intelligence to create self-learning
programs that help revolutionize IT services.
It is the application of advanced analytics—in the form of
machine learning (ML) and artificial intelligence (AI), towards
automating operations so that your IT Ops team can move at
the speed that your business expects today.
AIOps refers to multi-layered technology platforms that automate
and enhance IT operations by 1) using analytics and machine
learning to analyze big data collected from various IT operations
tools and devices, in order to 2) automatically spot and react to
issues in real time.
11. What Will Tomorrow Look Like ?
11
….Function Follows Need
Distributed Computing
Software Defined
Everything
Monitoring
Platforms
ISV Platforms
Patchwork, Open source,
Departmental
Source Events
Custom/Standard/Fixed
~ 100 – 1000 eps
Chaotic, Unstructured
~ 1000 – 100,000 eps
Configuration
Flexible
TBC ~ hours
Chaotic
TBC < 1 second
Infrastructure
Multi vendor
UNIX/IP/Windows client
server
Virtualised/Containers
Fluid/UNIX/Mobile/Micro
Digital
Transformation
Demands DevOps &
elastic
2010 2020
12. Current and Future Demands
12
Scale
• 105+ Moving Parts
• 106+ Notifications
• 109+ Data Points
• 1012 -> 10120+ Possible Failure Modes
+ Bounded by the estimated information content of the
universe !
Compulsion of Change
Complexity
Reduction in the Unit of compute
Mainframe → Server → VM → Container
Multiple Orders of Magnitude
Increase in Change Cycle
Fully fluid CI/CD Cycle
13. Traditional IT Ops caught Flat - Footed
13
Overwhelmed by DATA and a lack of INFORMATION
Siloed
teams and
tools
Too
many
alerts
No context
when an
incident
occurs
No
early
warning
DevOps
lacks
proactive
assurance
75-80%
~ 90%
> 45%
> 73%
Many Siloed
War room
14. IT Ops Priorities Driven by Digital Transformation
14
INCREASE frequency of change, stability and availability of IT services1
REDUCE resource operations workload and INCREASE productivity2
CONSOLDATE tools3
MIGRATE to the cloud4
SUPPORT software-defined services5
SUPPORT microservices based software architecture6
15. AIOps Agile and Proactive Event-to-Resolution Workflow
15
Early Detection, fewer tickets, reduced MTTR
Industrialised data
ingestion from
multiple sources
Automatically resolves
signals from alert noise
Proactively and
automatically detects
incidents and probable root
causes (reduced MTTD)
Enables collaborative
workflows (reduces
adverse business
impact)
Triggers automation
to restore services
Predictive insights
(reduced support
escalations and
MTTR)
16. How AIOps makes ITOps Robutst ?
16
• Determine the service health of
mission-critical services or
applications.
• Gain control and visibility to
spiraling consumption of cloud
resources.
• Accelerate MTTR with automated
incident management and real-
time configuration management
database (CMDB) updates.
• Build context-rich data lakes
integrating disparate, third-party
data sources.
17. AIOps makes Teams Faster, Smarter, and More
Productive
17
Level 0/NOC Operators
• Improve efficiency by consolidating related alerts together
• Reduce catch-n-dispatch activities
Support SMEs & Developers
• Pass incident resolution knowledge to lower support tiers
• Collaborate across complex multi-disciplinary incidents
IT Operations Managers
• Delivery service-level state monitoring
• Improve efficiency and job satisfaction
• Identify and address repeating mundane work with run book automation
• Investigate and problem-solve for frequently repeating P3-P5 incidents
IT Senior Management
• Achieve overall per-alert efforts reduction
• Re -purpose the savings towards business’s bottom line
