Driving Observability Through Machine Learning and Predictive Analytics

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This research from leading IT research firm Enterprise Management Associates (EMA) evaluated how machine learning changed the landscape of observability into a critical foundation of predictive analytics in driving business outcomes. These slides cover: - Observability in today’s landscape - Implanting an observability solution in a hybrid, multi-cloud environment - Successes and challenges of implementing an observability solution - How observability enhances the data-driven journey - Key components of a successful observability solution

Technology

Driving Observability Through
Machine Learning and
Predictive Analytics
William Schoeppner
Research Director
wschoeppner@enterprisemanagement.com
Sponsored by . . .

Watch the On-Demand Webinar
• Driving Observability Through Machine Learning and Predictive
Analytics On-Demand Webinar:
https://info.enterprisemanagement.com/machine-learning-and-
predictive-analytics-webinar-ss
• Check out upcoming webinars from EMA here:
https://www.enterprisemanagement.com/freeResearch

| @ema_research
Featured Speaker
Will is an accomplished information technology
and business operations leader with more than 25
years of experience developing, managing, and
leading business operations, integrated
technology, and vendor management. Prior to
joining EMA, he led Strategy and Performance for
the Governor’s Office of Information Technology
as the Deputy Chief Strategy Officer.
© 2022 Enterprise ManagementAssociates, Inc. 3
| @ema_research
Will Schoeppner
Director of Research
Enterprise Management Associates

| @ema_research
Sponsor
© 2022 Enterprise ManagementAssociates, Inc. 4
| @ema_research

| @ema_research
The Maturity of
a Successful, Data-Driven
Organization
1 2 4
Agenda
© 2022 Enterprise ManagementAssociates, Inc. 5
3
The Foundation of Data
Management
Business Success
in Adapting ML/AI
to Observability
The Challenges in
a Complex Landscape
Trends in
Predictive Analytics
and Observability
5 6 7
Finding the
Right Observability
Solution
Summary
Observations

| @ema_research
Demographics
© 2022 Enterprise ManagementAssociates, Inc. 6
Total Qualified: 155
Location
Total: 1382
Company Size: 1,000+
49% US
17% France
16% Germany
17% UK

| @ema_research
Demographics
© 2022 Enterprise ManagementAssociates, Inc. 7

The Maturity of a
Successful, Data-
Driven Organization

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 9

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 10

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 11

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 12

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 14

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 15

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 16

Business Success in
Adapting ML/AI to
Observability

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 18

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 19

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 20

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 22

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 23

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 24

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 25

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 26

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 27

Trends in Predictive
Analytics and
Observability

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 29

Finding the Right
Observability Solution

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 31

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 32

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 33

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 34

| @ema_research
Learn more at
https://www.elastic.co/
Thanks to Research Sponsor
© 2022 Enterprise ManagementAssociates, Inc. 36
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Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process. In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds. - These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.

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Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management. The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM). Speakers: Bob Boule Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle. Gopinath Rebala Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.

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Epistemic Interaction - tuning interfaces to provide information for AI support

Alan Dix

Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

Video Streaming: Then, Now, and in the Future

Alpen-Adria-Universität

In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.

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The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more. Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/ Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.

Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf

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Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack. While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack. I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:

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Driving Observability Through Machine Learning and Predictive Analytics

1. Driving Observability Through Machine Learning and Predictive Analytics William Schoeppner Research Director wschoeppner@enterprisemanagement.com Sponsored by . . .

2. Watch the On-Demand Webinar • Driving Observability Through Machine Learning and Predictive Analytics On-Demand Webinar: https://info.enterprisemanagement.com/machine-learning-and- predictive-analytics-webinar-ss • Check out upcoming webinars from EMA here: https://www.enterprisemanagement.com/freeResearch

3. | @ema_research Featured Speaker Will is an accomplished information technology and business operations leader with more than 25 years of experience developing, managing, and leading business operations, integrated technology, and vendor management. Prior to joining EMA, he led Strategy and Performance for the Governor’s Office of Information Technology as the Deputy Chief Strategy Officer. © 2022 Enterprise ManagementAssociates, Inc. 3 | @ema_research Will Schoeppner Director of Research Enterprise Management Associates

5. | @ema_research The Maturity of a Successful, Data-Driven Organization 1 2 4 Agenda © 2022 Enterprise ManagementAssociates, Inc. 5 3 The Foundation of Data Management Business Success in Adapting ML/AI to Observability The Challenges in a Complex Landscape Trends in Predictive Analytics and Observability 5 6 7 Finding the Right Observability Solution Summary Observations

8. The Maturity of a Successful, Data- Driven Organization

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