Name: Fireside Chat: The Future of Observability
Start: 2020-12-15T18:00:00Z
End: 2020-12-15T18:01:08.000Z
Location: BrightTALK
Rating: 5

Moogsoft develops AIOps technology that helps enterprise IT Ops and DevOps teams become faster, smarter and more effective. Moogsoft AIOps’ real-time machine learning algorithms help teams remediate issues that impact their customers’ experience by:

• Reducing operational noise (alert fatigue) across your production stack

• Proactively detecting Incidents and correlating Events across your monitoring ecosystem

• Streamlining collaboration and workflow across teams and toolsets

• Codifying knowledge to make operators smarter when encountering future Incidents

Over the past several years you have likely adopted (or planned to adopt) an observability strategy. As you dig into the Metrics, Logs, and Traces (and maybe Events too), you may have realized that increasing amounts of data don't necessarily make your problems go away.

Tune in to hear from Moogsoft CTO, Richard Whitehead and Director of Product Marketing, Kai Rostcheck for a conversation on how to extend Observability into AIOps for a single-pane-of-glass, and the benefits of less noise, fewer incidents, proactive detection, more meaningful insights, and improved automation of your incident management process.

The session will cover:
- The Evolution of Observability
- Common Challenges with Observability
- AIOps: What Is It and Where Does It Fit In?
- Key Use Cases of AIOps with Observability
- Q&A

Presenter Bios:

Richard Whitehead, CTO 
Richard Whitehead serves as CTO at Moogsoft. With more than two decades of industry experience Richard previously served as VP of Strategic Technologies at Micromuse (MUSE/IBM) where he was responsible for identifying strategic markets, partnerships and product research, and was instrumental in bringing Netcool (IBM Tivoli Netcool) to market.

Kai Rostcheck, Director of Product Marketing 
Kai enjoys solving puzzles and connecting ideas. He’s spent his career enabling technical solutions for large enterprise environments, and is weirdly fascinated with the elegance of AIOps - turning disparate data into something meaningful, to help people do their jobs better. Kai values both the technical and human sides of User Experience and enjoys personal growth through global travel.

Observability without AIOps is just Noise

With organizations reporting up to 40 different monitoring tools in place and teams spending twice as much time monitoring more than any other tasks, we ask why SLAs are still being breached and customer experience is suffering.

Join host Helen Beal and DevOps industry experts Tracy Bannon and Leo Murillo as they discuss the findings of the new State of Availability report and what they mean for the way we architect, design, and build scalable infrastructure.

Key takeaways:

- Designing architectural patterns using cloud and DevOps that provide high availability in the digital economy
- How to consolidate tools and inject capacity so that teams can adopt higher levels of capability
- When to use automation and AI to support the goal of improving customer experience

Platform Engineering: Architecting a Scalable Infrastructure for 2023

Toil and trouble go together like peanut butter and jelly but are not nearly as sweet. For Dinesh, one SRE’s relentless approach to eliminating toil might sometimes feel like ‘whack-a-mole.’ Thankfully automation is the cure for unreliability. However, the amount of tools available and in use can be overwhelming, so SREs like him need to pick their fire-fighting equipment carefully. 

In this webinar, DevOps Institute Chief Ambassador Helen Beal and Moogsoft Director of SRE Thom Duran will explore why intelligent monitoring is an SRE’s best friend. Join us as we discuss the day-to-day impact of leveraging AI-driven observability for:

- Monitoring SLIs and SLOs
- The Rule of 3 and automation effort
- Prioritizing reliability over functionality
- Managing tool heterogeneity and proliferation
- Chaos engineering for anti-fragility

You’ll learn:
- How to measure system reliability over time
- Why toil causes so much trouble
- Where to prioritize effort
- AIOps tips and techniques for SREs

Coffee Break with Helen Beal: Intelligent Observability for SREs

These days, an ITOps team with time on their hands is a rare sight. Monolithic, legacy infrastructure that is inherently fragile fuels a fraught working environment and puts ITOps at risk of burnout. Meet James, a skilled IT operator for whom pressure is stacking up as digital transformation drives business demands for increased change velocity from software developers. 

In this webinar, DevOps Institute Chief Ambassador Helen Beal and Moogsoft CTO Dave Casper will examine the ways intelligent observability helps bring joy back into the ITOps department. They will explore how clever ITOps pros like James can restore order to the NOC and driving efficiency across teams through:

- Minimized unplanned work
- Reduced alert noise
- Streamlined collaboration
- Ample time for innovation
- Autonomic systems

You’ll learn:
- How ITOps can gain control of unpredictable infrastructure
- Why creating self-healing infrastructure is challenging
- Methods for paying down technical debt
- Insights on drastically reducing MTTR

Coffee Break with Helen Beal: Intelligent Observability for ITOps

Teams practicing DevOps build it and own it, so they need to be fully equipped to quickly resolve challenges with their code and infrastructure when they arise. Software systems are complex and can be noisy when it comes to problem alerting, so how can we help DevOps teams filter fast to the real issues and arm them with the knowledge they need to resolve at high speed? 

In this webinar, DevOps Institute Chief Ambassador Helen Beal and Moogsoft Chief Evangelist Richard Whitehead will introduce Sarah, a bright DevOps engineer looking to accelerate time-to-resolve incidents so she can accelerate delivery of new features. Throughout this conversation, our hosts will have a discuss The Three Ways and how they inform:

- Anomaly detection
- Periodicity models
- The impossibility of prediction
- Telemetry, events and CICD
- Automating fixes via the DevOps Toolchain

You’ll learn about:

- How smart teams leverage AIOps to optimize flow
- Why observability supercharges feedback
- Experiments for anti-fragility
- Treating problems and incidents as learning opportunities

Coffee Break with Helen Beal: Intelligent Observability for DevOps

Time spent triaging alerts and identifying incident root cause impairs the value DevOps practitioners and SRE teams can deliver to organizations. Available through the Datadog Marketplace, this new bi-directional integration between Moogsoft and Datadog allows SREs, IT Ops, and DevOps pros to instantly see context-rich Moogsoft-generated incidents from across the full stack in either platform, boosting service availability. Put simply, it slashes the time a user must spend sifting through data to get to the cause of a service outage.
 
In this live webinar, Moogsoft CEO Phil Tee, CTO Dave Casper and VP of Marketing John Haley will discuss and demonstrate the deep integration between these platforms that enables users to easily start ingesting events and metrics from Datadog and other sources into the Moogsoft Observability Cloud. 

Attendees will also learn how Datadog users can easily:

- Achieve more context across incidents.
- Accelerate identification of root cause.
- Minimize the impact and time spent on service-impacting outages.
- Accelerate monitoring transformation by automating event correlation.

There will also be a Q&A with the speakers.

Datadog Expands Your Monitoring Reach with Moogsoft Observability Cloud

The shift to a fully digital economy over the past year has accelerated the complexity and scale of IT infrastructure powering today’s digital business. This creates an unprecedented volume and variety of observability data. DevOps and SRE teams must leverage new approaches to decipher these growing streams of metrics, logs, traces and events, and understand how their digital services impact the experience they deliver customers.

This fireside chat will examine the future direction of observability, and the impact that artificial intelligence will have on teams’ abilities to discover actionable insight in record times. Attend to learn:

- How do the practices of AI and observability complement each other?
- How will AI-driven observability deliver automation to today’s and tomorrow’s digital business?
- What areas of leading-edge science and mathematics will be most likely sources of future AI-driven observability features?
- What is Phil’s forward-looking vision of AI for Moogsoft and for the economy at large?

Fireside Chat: The Future of Observability

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Fireside Chat: The Future of Observability

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About this talk

Moogsoft