AIOps - The next 5 years

•

6 likes•1,240 views

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

Software

© 2019 FORRESTER. REPRODUCTION PROHIBITED.
AIOps: The Next Five Years
Rich Lane, Sr. Analyst
Jan 29, 2019

2© 2019 FORRESTER. REPRODUCTION PROHIBITED.
The Changing World of Monitoring
AI is the key to future IT operations assurance

3© 2019 FORRESTER. REPRODUCTION PROHIBITED.
Agenda
› Where we were before
› Where we are now
› Where we will eventually be

4© 2019 FORRESTER. REPRODUCTION PROHIBITED.
The Good Old Days

5© 2019 FORRESTER. REPRODUCTION PROHIBITED.
Agenda
› Where we were before
› Where we are now
› Where we will eventually be

6© 2019 FORRESTER. REPRODUCTION PROHIBITED.
Today’s data overload

7© 2019 FORRESTER. REPRODUCTION PROHIBITED.
AI for IT Operations is a Culture Shift
› I&O teams will need to realign much like DevOps
• Silos must be broken down and monitoring tools consolidated
• Bridge calls, response teams, and war rooms are antiquated
› A single source of monitoring truth
• Today we measure digital experience not just 99.999
› Next Gen Systems – Contextual Intelligence
• Everything in modern IT relates and a fault has multiple follow on effects

8© 2019 FORRESTER. REPRODUCTION PROHIBITED.
Agenda
› Where we were before
› Where we are now
› Where we will eventually be

9© 2019 FORRESTER. REPRODUCTION PROHIBITED.
“In which of the following emerging technologies will your firm
invest/is your firm investing in as part of their most recent digital
transformation?”
Base: 2,391 services decision-makers who are involved in their company's digital transformation
Source: Business Technographics® Global Services Survey, 2018
2%
3%
19%
26%
31%
36%
41%
46%
51%
58%
Other
Don’t know
Virtual reality
Augmented reality
Containers
Insights services
Blockchain
AI, ML, and cognitive computing technologies
Automation software
Internet of Things (IoT)

10© 2019 FORRESTER. REPRODUCTION PROHIBITED.
AI for IT Operations Beyond Today
› Trust for AI to make a huge leap forward
• Operations teams will integrate AI systems into daily routines
• Low priority tasks that used to require humans to determine remediation path will be performed by
AI driven systems
› AI driven technology will go beyond automation
• Predictive insights will expand
• Prescriptive insights will increase in accuracy
› Integrations across the entire pipeline of IT services
• CI/CD systems will complete the loop of monitoring/remediation
• ITSM integrations will make history of ticket queue management
• AI driven monitoring systems will drive CMDB rationalization…finally

11© 2019 FORRESTER. REPRODUCTION PROHIBITED.
AI for IT Operations Beyond Today
› Closer team collaboration
• ChatOps becomes imbedded in everyday IT Ops life
› IT will become the leader of business insight data
• Using AI driven monitoring tools non-convention data consumers can be served
• CMO, Sales, and CFO dashboards for real-time financial performance will be provided by IT Ops
› Digital transformations will change IT
• Business is digitizing to compete effectively
• DT creates more and more pressure on IT through complexity, speed, data volumes
• Humans can no longer keep up
• AI must lead the way

FORRESTER.COM
Thank you
© 2019 FORRESTER. REPRODUCTION PROHIBITED.

Confidential and Proprietary Information for Moogsoft Inc.
AIOps: What is it and
where is it going?

Confidential and Proprietary Information for Moogsoft Inc.
What is AI?
The reverse engineering of cognitive algorithms deployed by the brain
with the goal of observing, understanding, and manipulating complexly
structured and dynamic environments.
Why? - because traditional programming techniques are pretty rubbish at
dealing with highly complex and dynamic environments!

Confidential and Proprietary Information for Moogsoft Inc.
What is AIOps?
The application of AI-based algorithms to IT operations use cases with
the goal of reducing MTTR and, by iteratively increasing the quality of
resolutions, MTBO.
We use don’t use AI because it’s cool. We use it because it is necessary!

Confidential and Proprietary Information for Moogsoft Inc.
The Three Dimensions of AI
Problem Selection/Action
Pattern Discovery
Inference

Confidential and Proprietary Information for Moogsoft Inc.
Situation
Room
Situation
Similarity
Collaboration
Learning
Causality
Probable
Root-Cause
Vertex
Entropy
Correlation
ABC
Topology
Text
Time
1010100
1010010
0100110
0010101
<f(x),x1> <g(x),x1>
INFORMATION
RICH
DATA
STREAM
CLUSTERS SITUATIONS
Entropy
Analysis
Metrics
AIOps In Action
TOPOLOGICAL
GRAPH
DATA
Dimension 3Dimension 1Dimension 2Dimension 3
Logs
Events

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

Unifying IT with Outcome-Aware AIOps

Enterprise Management Associates

AIOps, IT Analytics, and Business Performance: What’s Needed and What Works

Enterprise Management Associates

The future of AIOps

GAVS Technologies

AIOps: Your DevOps Co-Pilot

DevOps.com

How to Move from Monitoring to Observability, On-Premises and in a Multi-Clou...

Splunk

With the acceleration of customer and business demands, site reliability engineers and IT Ops analysts now require operational visibility into their entire architecture, something that traditional APM tools, dev logging tools, and SRE tools aren’t equipped to provide. Observability enables you to inspect and understand your IT stack on premises and in the cloud(s); It’s no longer about whether your system works (monitoring), but being able to task why it is not working? (Observability). This presentation will outline key steps to take to move from monitoring to observability.

FinOps for private cloud

Alexander Tokarev

AWS for Manufacturing: Digital Transformation throughout the Value Chain (MFG...

Amazon Web Services

The digital transformation of the manufacturing industry is underway in all aspects of the value chain, and the cloud is at the center. In this session, learn how global manufacturing companies are realizing the business value of AWS IoT services, HPC, machine learning, data lakes, and other AWS services in design, engineering, and manufacturing to service operations. Aerospace pioneer, Airbus, describes how its Skywise serverless platform uses AWS Lambda, Amazon DynamoDB, Amazon Elasticsearch Service, and other services to provide airlines with predictive maintenance solutions for its fleets. Georgia-Pacific, a leading manufacturer of paper and wood products, discusses the use of an operation’s data lake to predict asset reliability events and optimize manufacturing processes across 150 locations. Finally, global bearing manufacturer, SKF, demonstrates how it uses AWS IoT services to connect smart products with smart factories, providing real-time insights to its global customers worldwide to optimize machine health and reduce costs.

What is observability and how is it different from traditional monitoring? How do we effectively monitor and debug complex, elastic microservice architectures? In this interactive discussion, we’ll answer these questions. We’ll also introduce the idea of an “observability pipeline” as a way to empower teams following DevOps practices. Lastly, we’ll demo cloud-native observability tools that fit this “observability pipeline” model, including Fluentd, OpenTracing, and Jaeger.

API Strategy Evolution at Netflix

Michael Hart

MLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision

BATbern

What powers the AI/ML services of Switzerland's leading telecommunication company? In this talk, we will provide an overview of the different AI/ML projects at Swisscom, from Conversational AI and Recommender Systems to Anomaly Detection. Moreover, we will show how we automate, scale, and operationalise these ML pipelines in production, highlighting the MLOps techniques and open source tools that are used. Finally, we will present Swisscom's roadmap towards the cloud with AWS and discuss how we envision a common MLOps solution for the organisation.

The vital role of AIOps in overcoming IT operational challenges - DEM07-SR - ...

Amazon Web Services

Digital transformation has sparked an IT service availability crisis in the enterprise, driven by unprecedented levels of infrastructure scale and complexity, rendering the traditional, rules-driven approach to incident management obsolete. Artificial intelligence for IT Operations, or AIOps, is a new direction for assuring service availability via operational data. In this talk, we show how AIOps gives enterprises a critical advantage and paves the way for the future of service assurance. We examine how adopting AIOps yields greater business agility while improving customer service, lowering operation costs, and boosting IT Ops teams’ productivity. This presentation is brought to you by AWS partner, Moogsoft Inc.

Introdution to Dataops and AIOps (or MLOps)

Adrien Blind

AIOps: Anomalies Detection of Distributed Traces

Jorge Cardoso

AWS Cloud Adoption Framework

Amazon Web Services

FinOps introduction

Alexander Tokarev

Observability & Datadog

JamesAnderson599331

Azure Cloud Adoption Framework + Governance - Sana Khan and Jay Kumar

Timothy McAliley

A cloud readiness assessment framework

Carlo Colicchio

Cloud computing is an emerging technology that offers opportunities for organisations to hire precisely those ICT services they need (SaaS/PaaS/IaaS). Small and medium sized enterprises (SMEs) can benefit a lot from software services that are managed in a professional way. Cloud computing enables them to overcome restrictions from low budgets and limited resources for ICT. However, cloud adoption is challenging and requires a clear cloud roadmap. Organisations lack knowledge of cloud computing and are usually challenged by the adoption of cloud services. In most cases, SMEs do not know what aspects they have to take into consideration for a sound decision in favour or against the cloud. A cloud readiness assessment is a general approach to facilitate this decision-making process. The presented study focuses on the development of an assessment framework for cloud services (SaaS) in the domain of enterprise content management (ECM) and social software (ecollaboration).

.conf Go 2022 - Observability Session

Splunk

IT Infrastructure Managed Services and RIMS

Razak Mohammed Ali

Journey to Cloud-Native: Where to start in your app modernization process

VMware Tanzu

Initiatives to modernize applications to a cloud-native architecture begin with big questions - where do I start, what applications would require the most changes, and what is the user impact? Join Mike Villiger from Dynatrace and Kamala Dasika from Pivotal as they take you step-by-step from planning through scoping strategies, so you can begin your app modernization journey today. In this webinar, you will learn how to: - Discover dependencies in your applications - Identify parts of your applications that are good candidates for refactoring - Minimize customer impact during migration - Deliver business value through measurable digital transformation View Complete Webinar Series at https://content.pivotal.io/webinars: - Journey to Cloud-Native: Where to start in your app modernization process - Journey to Cloud-Native: Continuous Delivery with Artificial Intelligence - Journey to Cloud-Native: Making Sense of Your Service Interactions - Journey to Cloud-Native: Reducing Production Risks at Scale About the Speakers: Kamala Dasika has been working on the Cloud Foundry product team since its inception in 2011 and previously held various product or engineering positions at VMware, Tibco, SAP and Applied Biosystems. Mike Villiger helps Dynatrace customers implement Application Performance Management technologies and processes in the worlds of Public/Private Cloud, DevOps, Platform-as-a-Service (PaaS) and NoSQL.

Combining logs, metrics, and traces for unified observability

Elasticsearch

OpenText Cloud Managed Services

OpenText

Webinar: Implementation of 10 Integration Patterns on iPaaS Platform

APPSeCONNECT

We recently had a #Webinar on Integration Patterns for iPaaS Platform. The key points discussed over the webinar were: 1. Understanding the best practices that should be followed to correctly utilize an iPaaS platform. 2. Some of the best use cases of the iPaaS platform. 3. A walkthrough of APPSeCONNECT Integration Platform to feature the scenarios of an iPaaS platform. #iPaaS #IntegrationPlatform Integrate your business applications under one single platform: https://www.appseconnect.com/integrations/

MLOps and Data Quality: Deploying Reliable ML Models in Production

Provectus

Looking to build a robust machine learning infrastructure to streamline MLOps? Learn from Provectus experts how to ensure the success of your MLOps initiative by implementing Data QA components in your ML infrastructure. For most organizations, the development of multiple machine learning models, their deployment and maintenance in production are relatively new tasks. Join Provectus as we explain how to build an end-to-end infrastructure for machine learning, with a focus on data quality and metadata management, to standardize and streamline machine learning life cycle management (MLOps). Agenda - Data Quality and why it matters - Challenges and solutions of Data Testing - Challenges and solutions of Model Testing - MLOps pipelines and why they matter - How to expand validation pipelines for Data Quality

CI:CD in Lightspeed with kubernetes and argo cd

Billy Yuen

Enterprises have benefited greatly from the elastic scalability and multi-region availability by moving to AWS, but the fundamental deployment model remains the same. At Intuit, we have adopted k8s as our new saas platform and re-invented our CI/CD pipeline to take full advantage of k8s. In this presentation, we will discuss our journey from Spinnaker to Argo CD. 1. Reduce CI/CD time from 60 minutes to 10 minutes. 2. Reduce production release (or rollback) from 10 minutes to 2 minutes. 3. Enable concurrent deployment using spinnaker and argo cd as HA/DR to safely adopt the new platform with no downtime. 4. Be compatible with the existing application monitoring toolset.

IBM InterConnect 2013 Cloud General Session: Robert LeBlanc

IBM Events

Presentation cloud as a growth engine for a smarter enterprise

xKinAnx

What's hot

Mastering System Resiliency with AIOps

Peterson Technology Partners

Cloud-Native Observability

Tyler Treat

API Strategy Evolution at Netflix

Michael Hart

MLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision

BATbern

The vital role of AIOps in overcoming IT operational challenges - DEM07-SR - ...

Amazon Web Services

Introdution to Dataops and AIOps (or MLOps)

Adrien Blind

AIOps: Anomalies Detection of Distributed Traces

Jorge Cardoso

AWS Cloud Adoption Framework

Amazon Web Services

FinOps introduction

Alexander Tokarev

Observability & Datadog

JamesAnderson599331

Azure Cloud Adoption Framework + Governance - Sana Khan and Jay Kumar

Timothy McAliley

A cloud readiness assessment framework

Carlo Colicchio

.conf Go 2022 - Observability Session

Splunk

IT Infrastructure Managed Services and RIMS

Razak Mohammed Ali

Journey to Cloud-Native: Where to start in your app modernization process

VMware Tanzu

Combining logs, metrics, and traces for unified observability

Elasticsearch

OpenText Cloud Managed Services

OpenText

Webinar: Implementation of 10 Integration Patterns on iPaaS Platform

APPSeCONNECT

MLOps and Data Quality: Deploying Reliable ML Models in Production

Provectus

CI:CD in Lightspeed with kubernetes and argo cd

Billy Yuen

What's hot (20)

Mastering System Resiliency with AIOps

Cloud-Native Observability

API Strategy Evolution at Netflix

MLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision

The vital role of AIOps in overcoming IT operational challenges - DEM07-SR - ...

Introdution to Dataops and AIOps (or MLOps)

AIOps: Anomalies Detection of Distributed Traces

AWS Cloud Adoption Framework

FinOps introduction

Observability & Datadog

Azure Cloud Adoption Framework + Governance - Sana Khan and Jay Kumar

A cloud readiness assessment framework

.conf Go 2022 - Observability Session

IT Infrastructure Managed Services and RIMS

Journey to Cloud-Native: Where to start in your app modernization process

Combining logs, metrics, and traces for unified observability

OpenText Cloud Managed Services

Webinar: Implementation of 10 Integration Patterns on iPaaS Platform

MLOps and Data Quality: Deploying Reliable ML Models in Production

CI:CD in Lightspeed with kubernetes and argo cd

Similar to AIOps - The next 5 years

IBM InterConnect 2013 Cloud General Session: Robert LeBlanc

IBM Events

Presentation cloud as a growth engine for a smarter enterprise

xKinAnx

10 IT Infrastructure & Operations Trends for 2019

OpsRamp

The bottom line heading into 2019? The future of infrastructure is everywhere. You must adapt, rethink your organization (people, process, and technology), and how you achieve this while still keeping the lights on. In the short term, it will be critical to impose order on chaos. In the longer term, it’s all about ensuring agility, moving to a “product orientation,” and partnering with the business to deliver better digital customer experiences. Check out the full blog here: https://blog.opsramp.com/aiops-gartner-iocs

Back Office Transformation | Accenture

accenture

Gartner IT Infrastructure & Operations Management Summit 2014 - Trip Report

Paul Woudstra

Ahead of the Curve: Digital Reinvention in Electronics with Intelligent IoT

Christophe Begue

Among the electronics firms currently employing AI and IoT, a group of Reinventors is leveraging these technologies in a particularly transformative and visionary way. Understanding the commonalities between these firms is crucial in this era of fast-paced change for electronics, as industry boundaries blur, and rich ecosystems develop around newly available data sources. A fundamental step towards success in this age of Digital Reinvention is the development of an appropriate hybrid cloud strategy, to support advanced applications of AI and IoT.

About i psoft

Craig Bohrman

Extreme Automation: The Emergence of RPA and AI for Treasury

Kyriba Corporation

IYF Smarter Value Chain Enabled by IoT Leads to Smarter Management

Information Services Group (ISG)

Track 3 session 2 - st dev con 2016 - arrow - identifying business challeng...

ST_World

[Webinar] - Intelligent Automation: Enabling Bots with Brain

JK Tech

Customer experience and productivity of employees has always been the key priority to any organization. We always think about how to get rid of repetitive and redundant tasks in our day to day life. The main reason for this thought process is to automate repetitive tasks and enable employees to focus on more important tasks that can add value to the organization. While Robotic Process Automation (RPA) has been always the solution here; but it had its own limitation of being able to automate the processes where human intervention was not present. This is where the need for intelligent and hyper-automation comes in which is capable of not only mimicking human tasks but can also learn and make decisions. Intelligent Automation = Robotic Process Automation + Artificial Intelligence Intelligent Automation (IA) empowers Robotic Process Automation (RPA) with Artificial Intelligence (AI) capabilities for end-to-end automation that covers the phases of process identification, automation, optimization and orchestration of a business process involved in creating a robot teamed up with humans. In this webinar, we had come live together with UiPath – named a leader in Robotic Process Automation by Gartner – to help you and your organization leverage the best from both the worlds. We will discuss how Intelligent Automation can be embraced by organizations and how it can be used to enhance the efficiency of various processes along with various hyper-automation related features that UiPath has come up with. KEY TAKEAWAYS - Current trend of Automation. - What is Intelligent Automation? - Why Intelligent Automation? - Benefits of Intelligent Automation over RPA. - How Intelligent Automation helps organizations accelerate digital transformation and prepare better for future unprecedented times? - How to embrace the Intelligent Automation journey?

Intelligent Business Process Management Suites (iBPMS) - The Next-Generation ...

Kai Wähner

Artificial Intelligence (AI) & The Future of Employee Service

ITSM Academy, Inc.

Dan Turchin, Astound he bots are coming… but not to take your job. Learn how and why AI and machine learning are making humans better and how organizations like McDonald’s and adidas are delivering better service today. Astound co-founder Dan Turchin will discuss the future of AI in IT and provide actionable tips that will guarantee your AI initiatives succeed. Key takeaways: How artificial intelligence is impacting IT Why machine learning accelerates shift left strategies How AI and natural language processing (NLP) are used to improve KPIs like MTTR, FCR, cost per ticket, and customer satisfaction How AI-driven automation benefits the entire service lifecycle from provisioning and monitoring to incident, problem, and change management

2019 technology innovations and investments

Marko Paris

NUS-ISS Learning Day 2018- Harnessing the power of cloud solutions in urban a...

NUS-ISS

Outsourcing in a digital world (1)

Donald Smith

Top Digital Transformation Trends (2020)

Cygnet Infotech

Traversing the Digital Vortex, Lux Rao, Director & Leader, Digital Transforma...

Rahul Neel Mani

Discover Rootstock ERP: Top Manufacturing Trends to Watch in 2018

Rootstock Software

Manufacturers must embrace industry trends in order to stay ahead of the competition. With 2017 coming to a close, it is time to start focusing on the top manufacturing trends that will impact the industry and your organization in the upcoming year. You will learn: - What the top manufacturing trends are for 2018 - How these trends will impact manufacturing - How Rootstock Cloud ERP fits into these trends

IT as a Service Provider

Vistara

Similar to AIOps - The next 5 years (20)

IBM InterConnect 2013 Cloud General Session: Robert LeBlanc

Presentation cloud as a growth engine for a smarter enterprise

10 IT Infrastructure & Operations Trends for 2019

Back Office Transformation | Accenture

Gartner IT Infrastructure & Operations Management Summit 2014 - Trip Report

Ahead of the Curve: Digital Reinvention in Electronics with Intelligent IoT

About i psoft

Extreme Automation: The Emergence of RPA and AI for Treasury

IYF Smarter Value Chain Enabled by IoT Leads to Smarter Management

Track 3 session 2 - st dev con 2016 - arrow - identifying business challeng...

[Webinar] - Intelligent Automation: Enabling Bots with Brain

Intelligent Business Process Management Suites (iBPMS) - The Next-Generation ...

Artificial Intelligence (AI) & The Future of Employee Service

2019 technology innovations and investments

NUS-ISS Learning Day 2018- Harnessing the power of cloud solutions in urban a...

Outsourcing in a digital world (1)

Top Digital Transformation Trends (2020)

Traversing the Digital Vortex, Lux Rao, Director & Leader, Digital Transforma...

Discover Rootstock ERP: Top Manufacturing Trends to Watch in 2018

IT as a Service Provider

Recently uploaded

Accelerate Enterprise Software Engineering with Platformless

WSO2

Key takeaways: Challenges of building platforms and the benefits of platformless. Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience. How Choreo enables the platformless experience. How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo. Demo of an end-to-end app built and deployed on Choreo.

Globus Compute Introduction - GlobusWorld 2024

Globus

2024 RoOUG Security model for the cloud.pptx

Georgi Kodinov

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

WSO2

top nidhi software solution freedownload

vrstrong314

This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.

A Comprehensive Look at Generative AI in Retail App Testing.pdf

kalichargn70th171

Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...

Globus

The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.

Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf

AMB-Review

Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos https://www.amb-review.com/tubetrivia-ai Exclusive Features: AI-Powered Questions, Wide Range of Categories, Adaptive Difficulty, User-Friendly Interface, Multiplayer Mode, Regular Updates. #TubeTriviaAI #QuizVideoMagic #ViralQuizVideos #AIQuizGenerator #EngageExciteExplode #MarketingRevolution #BoostYourTraffic #SocialMediaSuccess #AIContentCreation #UnlimitedTraffic

Explore Modern SharePoint Templates for 2024

Sharepoint Designs

In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...

Juraj Vysvader

How to Position Your Globus Data Portal for Success Ten Good Practices

Globus

Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.

Enhancing Research Orchestration Capabilities at ORNL.pdf

Globus

Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.

Software Testing Exam imp Ques Notes.pdf

MayankTawar1

Developing Distributed High-performance Computing Capabilities of an Open Sci...

Globus

COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.

Advanced Flow Concepts Every Developer Should Know

Peter Caitens

First Steps with Globus Compute Multi-User Endpoints

Globus

In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.

Globus Compute wth IRI Workflows - GlobusWorld 2024

Globus

As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.

Quarkus Hidden and Forbidden Extensions

Max Andersen

SOCRadar Research Team: Latest Activities of IntelBroker

SOCRadar

The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month. The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies. However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News. Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!

Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL

Natan Silnitsky

In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey. Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience. Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system. Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.

Recently uploaded (20)

Accelerate Enterprise Software Engineering with Platformless

Globus Compute Introduction - GlobusWorld 2024

2024 RoOUG Security model for the cloud.pptx

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

top nidhi software solution freedownload

A Comprehensive Look at Generative AI in Retail App Testing.pdf

Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...

Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf

Explore Modern SharePoint Templates for 2024

In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...

How to Position Your Globus Data Portal for Success Ten Good Practices

Enhancing Research Orchestration Capabilities at ORNL.pdf

Software Testing Exam imp Ques Notes.pdf

Developing Distributed High-performance Computing Capabilities of an Open Sci...

Advanced Flow Concepts Every Developer Should Know

First Steps with Globus Compute Multi-User Endpoints

Globus Compute wth IRI Workflows - GlobusWorld 2024

Quarkus Hidden and Forbidden Extensions

SOCRadar Research Team: Latest Activities of IntelBroker

Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL

AIOps - The next 5 years

7. 7© 2019 FORRESTER. REPRODUCTION PROHIBITED. AI for IT Operations is a Culture Shift › I&O teams will need to realign much like DevOps • Silos must be broken down and monitoring tools consolidated • Bridge calls, response teams, and war rooms are antiquated › A single source of monitoring truth • Today we measure digital experience not just 99.999 › Next Gen Systems – Contextual Intelligence • Everything in modern IT relates and a fault has multiple follow on effects

9. 9© 2019 FORRESTER. REPRODUCTION PROHIBITED. “In which of the following emerging technologies will your firm invest/is your firm investing in as part of their most recent digital transformation?” Base: 2,391 services decision-makers who are involved in their company's digital transformation Source: Business Technographics® Global Services Survey, 2018 2% 3% 19% 26% 31% 36% 41% 46% 51% 58% Other Don’t know Virtual reality Augmented reality Containers Insights services Blockchain AI, ML, and cognitive computing technologies Automation software Internet of Things (IoT)

10. 10© 2019 FORRESTER. REPRODUCTION PROHIBITED. AI for IT Operations Beyond Today › Trust for AI to make a huge leap forward • Operations teams will integrate AI systems into daily routines • Low priority tasks that used to require humans to determine remediation path will be performed by AI driven systems › AI driven technology will go beyond automation • Predictive insights will expand • Prescriptive insights will increase in accuracy › Integrations across the entire pipeline of IT services • CI/CD systems will complete the loop of monitoring/remediation • ITSM integrations will make history of ticket queue management • AI driven monitoring systems will drive CMDB rationalization…finally

11. 11© 2019 FORRESTER. REPRODUCTION PROHIBITED. AI for IT Operations Beyond Today › Closer team collaboration • ChatOps becomes imbedded in everyday IT Ops life › IT will become the leader of business insight data • Using AI driven monitoring tools non-convention data consumers can be served • CMO, Sales, and CFO dashboards for real-time financial performance will be provided by IT Ops › Digital transformations will change IT • Business is digitizing to compete effectively • DT creates more and more pressure on IT through complexity, speed, data volumes • Humans can no longer keep up • AI must lead the way

13. Confidential and Proprietary Information for Moogsoft Inc. AIOps: What is it and where is it going?

14. Confidential and Proprietary Information for Moogsoft Inc. What is AI? The reverse engineering of cognitive algorithms deployed by the brain with the goal of observing, understanding, and manipulating complexly structured and dynamic environments. Why? - because traditional programming techniques are pretty rubbish at dealing with highly complex and dynamic environments!

15. Confidential and Proprietary Information for Moogsoft Inc. What is AIOps? The application of AI-based algorithms to IT operations use cases with the goal of reducing MTTR and, by iteratively increasing the quality of resolutions, MTBO. We use don’t use AI because it’s cool. We use it because it is necessary!

16. Confidential and Proprietary Information for Moogsoft Inc. The Three Dimensions of AI Problem Selection/Action Pattern Discovery Inference

17. Confidential and Proprietary Information for Moogsoft Inc. Situation Room Situation Similarity Collaboration Learning Causality Probable Root-Cause Vertex Entropy Correlation ABC Topology Text Time 1010100 1010010 0100110 0010101 <f(x),x1> <g(x),x1> INFORMATION RICH DATA STREAM CLUSTERS SITUATIONS Entropy Analysis Metrics AIOps In Action TOPOLOGICAL GRAPH DATA Dimension 3Dimension 1Dimension 2Dimension 3 Logs Events

AIOps - The next 5 years

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to AIOps - The next 5 years

Similar to AIOps - The next 5 years (20)

Recently uploaded

Recently uploaded (20)

AIOps - The next 5 years