Upcoming Webinars

January 26, 2022

What do leaders like you need to know to maintain your edge in the new year? Attend our virtual event, Executive Predictions 2022, to engage with our executives as we explore a future shaped by data. Learn more about trends and emerging technologies:
- Edge computing: There will be a lot of talk in 2022, but it’s not just hype.
- Talent: In the pandemic era, every organization must redesign how it attracts, trains and retains top performers.
- Cloud: A sudden, uneven rush into the cloud creates new challenges for customer experience.
- And More: Serverless, blockchain, and an explosion of M&A.

January 27, 2022

Join Lead Gartner Analyst, Pankaj Prasad, who will cover the state of the AIOps market, and where he sees the industry going over the coming years. Moderated by John Haley, VP of Marketing at Moogsoft, together they will deliver an informative session and discuss the criticality of AIOps as companies continue to adopt new technologies. Hear how modern companies strive for operational efficiencies while maintaining high availability and customer satisfaction. To wrap up, Phil Tee, CEO of Moogsoft, who will briefly discuss Moogsoft’s perspective and what’s in store for 2022. Here are key takeaways you will learn from tuning in to our strategic advisory session with Gartner:
1. How digital businesses are becoming observable
2. How AIOps allows for continuous insights across ITOM
3. How monitoring is converging with AIOps

February 03, 2022

Join this live interactive webinar, Top IT and Observability Predictions for 2022, to understand the challenges ahead and the most effective approaches to solving them:
- Why observability is the next battleground for CX
- Why serverless and edge computing will be huge
- How AI is converging with observability
- Why everyone is using DevSecOps (even if they don’t know it yet)
- How Web3 technologies will impact digital services

On-Demand Webinars

Join this interactive session to learn to how to continuously monitor your end user experiences in real-time and troubleshoot application performance down to the line of code. See first hand how you can:
- Understand end-user experience in real-time and identify, alert on critical patterns.
- Always be able to correlate end-user experience degradation due to backend applications down to the line of code.
- Inspect detailed information for every single request across your application.

Register for this webinar today to troubleshoot user experience issues all the way to the line of code. Find your application performance issues quickly and identify root causes for faster MTTD/MTTR as you keep critical customer services running at scale.

This webinar discusses best practices to maintain optimal performance for Kafka data streaming and includes the following topics:
– Apache Kafka cluster components: producers, consumers, and brokers
– Key Kafka performance metrics: throughput and latency
– Kafka performance tuning: tuning brokers, producers, and consumers
– Offline partitioning
– Balancing Apache Kafka clusters
– Optimizing Kafka performance

Join industry experts from Splunk and Amazon Web Services (AWS) as they discuss serverless architecture and how Splunk’s AWS Lambda Extension provides a simplified runtime-independent interface to collect high-resolution observability data with minimal overhead. Join the live webinar and learn about:
- Serverless architecture and the serverless journey
- Challenges in operating serverless applications
- How to use Splunk’s AWS Lambda Extension to monitor, manage and optimize the performance and cost of your serverless applications

In this self-guided demo, you’ll learn how to:
- Improve application performance and reduce waste.
- Significantly improve your current AWS autoscaling.
- Get job-specific recommendations to optimize Spark performance.
- Customize alerts to quickly troubleshoot application and infrastructure issues.

Although Docker and Kubernetes are now becoming standard components for building and orchestrating applications, you are still responsible for managing application performance across the stack, and an increasing area of focus in IT is finding a way to monitor, manage, and find opportunities for optimization across these sprawling big data environments. Join this webinar to learn how to:
– Identify Kubernetes challenges: virtualization, distributed applications, and multi-cloud
– Meet the demands of new microservices apps while maintaining legacy apps
– Deploy, manage, monitor, and simplify: big data analytics monitoring, automation, platform monitoring, and dynamic optimization
– Reduce the complexity of monitoring and managing Kubernetes with full-stack observability
– Find and capitalize on optimization opportunities

Join Best-Selling Author Nigel Poulton to learn what Kubernetes is, why it's central to the future of cloud-native infrastructure and applications, and what it means to your career. Participate in the Q and A that follows the webinar for a chance to win a free copy of Quick Start Kubernetes.

This year BigPanda is hosting its customer festival over two days, and it’s all online, so you and your team can participate wherever you are. Each day, Pandapalooza will take place two and a half hours to talk about where customers are in their AIOps journey, get product updates and share best practices in event correlation, triage, root cause analysis, automation and reporting/analytics. Each session will be fast and engaging – and you will walk away with lots of ideas on how to increase the value BigPanda delivers to your organization.

Join Pepperdata Field Engineer Kirk Lewis for this discussion about operational challenges associated with maintaining optimal big data performance in the cloud with a focus on Google Dataproc, what milestones to set, and best practices for managing a successful cloud framework.

Join Splunk’s leaders, top customers and partners from around the world to hear how Splunk empowers you to turn data into doing and get an experience you won’t want to miss that’s filled with opportunities to enhance your skillset and network amongst peers.

In this webinar, we’ll discuss how to prepare and ensure that your organization has a solid plan to manage big data analytics in the cloud. Topics include:
– Primary characteristics of big data and putting your data in the cloud
– The challenges of managing big data performance in the cloud
– FinOps (chargeback, analyzing wasted spend)
– Planning for day 2
– Achieving cloud performance
– Observability, continuous tuning, and managed autoscaling

This session will discuss OpenTelemetry, who’s behind it, what it actually contains, and the immediate benefits to Splunk customers and anyone who builds and manages production services. You’ll learn about how OpenTelemetry already powers new functionality in Splunk Observability Cloud, the amount of integrations and flexibility that it unlocks, and how it will bring together experiences across the entire Splunk product line. Join this interactive session which will cover:
- An overview on the OpenTelemetry OTel Collector architecture
- The benefits of OTel for increased visibility in your applications
- How Splunk is supporting and integrating with OpenTelemetry
- How to build an OpenTelemetry Pipeline for yourself

Join Pepperdata Field Engineer Alex Pierce as he discusses how to reduce the complexity of monitoring and managing Spark on Kubernetes with autonomous optimization and full-stack observability. Topics include:
• Automation and observability for lowering costs and improving performance
• Deploying, managing, monitoring, and simplifying Spark on Kubernetes: big data application monitoring, platform monitoring, and dynamic optimization
• Configuring for performance and efficiency
• Spark app-level dynamic allocation and cluster level autoscaling
• What Spark on Kubernetes performance success looks like

Join Pepperdata Field Engineer Alex Pierce for a webinar on gaining visibility into cloud GPU resource utilization at the application level and improving the performance of your GPU-accelerated big data applications. Topics include:
- Why GPU-accelerated big data applications are going mainstream
- Getting visibility into GPU memory usage and waste
- Fine-tuning GPU usage through end-user recommendations
- Manage costs at a granular level: attributing usage and cost to specific end-users
- Monitoring and eliminating waste with GPU monitoring solutions

This webinar will dissect the 5 different strategies for cloud migration and application modernization; Rehost, Refactor, Revise, Rebuild, Replace. The webinar will walk through how to implement each one, review their pros and cons, and highlight the potential challenges if the time comes to combine them. Join the live webinar to learn:
- Everything you need to know about “The 5 Rs” in order to select the right one(s) for your migration
- The new challenges IT practitioners face from ‘Digital Transformation’ events such as Observability, Distributed Tracing, Service Monitoring, Business Insights and AIOps
- How Splunk can help you migrate, manage and secure your workloads for on-prem (or existing cloud) to Google Cloud(s) such as GCP or Google Workspace

Join Pepperdata VP of Customer Success Joel Stewart as he discusses how to navigate through the noise of big data cloud performance recommendations and more efficiently manage big data performance.

On August 26, 2021, attend this free 30-minute BigPanda webinar and find out why event enrichment is either a landmine or linchpin for successful AIOPs efforts. First, you will hear from Sid Roy, VP of Operations and Client Support at Scicom, who will explain why many AIOps projects fail to live up to their promise because alerts don’t get enriched with operational, topological or other contextual data, making it difficult to separate noisy alerts from meaningful alerts, and then eliminate the noise. Next, meet Samy Senthivel, Sr. Digital Enterprise Monitoring Services Manager at AutoDesk. Learn how his team uses technology to structure their event data and add more context to alerts so their Operations team can triage issues quickly and achieve better alert compression rates. Moderated by Anirban Chatterjee, Director of Product Marketing at BigPanda, this conversation will leave attendees with important things to consider as they evaluate AIOps solutions.

Join Splunk’s Billy Hoffman for a deep dive into Core Web Vitals and see why incorporating these user-centric metrics into your deployments can create great user experiences and improve your business. In this webinar you will learn:
- What Core Web Vitals are, how they’re measured, and why they’re important to both the business and your Google ranking.
- What aspects of a web site, such as JavaScript size or critical rendering path, impact each metric.
- How to measure Google Web Vitals on your website.
- Which Performance optimizations should be adopted to improve specific Web Vitals.
- Best practices for benchmarking and improving web vitals scores.
- How organizations can put systems in place to prevent regressions.

Are you getting the best price/performance from your big data cloud solution? Which cloud performance benchmarks do you use? Using cloud performance benchmarks and measuring your performance are key to understanding price/performance. This webinar will discuss the importance of understanding key benchmark metrics and how you can use benchmarking to improve performance. Learn the following:
- Current big data benchmarking methods and trends
- Preferred benchmarking datasets
- Best practices for evaluating benchmarking reports

In this webinar, Alex Pierce will talk about how to optimize Spark performance on Kubernetes. Topics include:
– Making Spark-on-k8s reliable at scale
– Core concepts and setup of Spark on Kubernetes
– Configuration tips for performance and efficient resource sharing
– Spark-app level dynamic allocation and cluster level autoscaling
– Monitoring and security best practices

Face and eliminate your worst big data nightmare with Pepperdata Field Engineer Kirk Lewis as he presents best practices for automatic optimization, cloud efficiency, and cost optimization. Topics include:
- Optimizing your modern big data architecture
- Delivering deep insight from across more data sources and types
- Managing the increased velocity of analytics requests, across the cloud and on premises
- Controlling costs and resources while supporting more users who want self-service capabilities
- Meeting the needs of data scientists and data analysts

Join Pepperdata Field Engineer Alex Pierce for this webinar on Presto performance management best practices to learn:
—When to use Presto versus other engines
—Key criteria to look for in a query engine for interactive analytics
—Visibility into all of your queries in one place with continuous, automated application and infrastructure tuning
—How to enable self-service access to your data lake
—How to Immediately improve and scale application performance through automated tuning
—How to Improve query performance through job-specific recommendations, query run comparisons, and IT chargeback reports

Join industry experts from Splunk and ESG as they discuss what benefits global organizations that have adopted observability are experiencing in areas such as application performance, deployment velocity, and application development. In this interactive session, they will present some results from this research and then start a discussion around:
- What is observability and what outcomes you’ll see from adopting observability practices
- The four characteristics of a mature observability practice
- Common pain points in the adoption of observability
- What to look for in an observability solution and how to justify your requests

Join Pepperdata Field Engineer Alex Pierce for this discussion about operational challenges associated with maintaining optimal big data performance in the cloud, what milestones to set, and recommendations on how to create a successful cloud migration framework. Learn the following:
– Autoscaling types
– Autoscaling strengths and weaknesses
– When to use autoscaling and what autoscaling does well
– Is traditional autoscaling limiting your success?
– What is optimized cloud autoscaling?

Big data self-service analytics is the solution to two critical issues: the proliferation of data and the subsequent shortage of data scientists to capture, manage, and analyze it all. To bridge the gaps and to take business analytics beyond what legacy reporting tools can do, many organizations are implementing self-service solutions that enable users to extract more value from ever-growing data volumes. When today’s cloud platforms are combined with modern big data performance solutions, data analysis power users can leverage self-service to gain business insights, optimize scaling, and create a unified interface to simplify analysis. Join us as we discuss the best practices for simplifying big data analytics while providing data analysts and scientists with self-service access on AWS cloud. Watch this webinar to:
• Understand why more organizations are moving to the self-service analytics model.
• Learn how to more easily create elastic Hadoop, Spark, and other big data clusters for dynamic, large-scale workloads.
• Learn the best practices for cost optimization of big data workloads.
• Understand how to evaluate big data SaaS criteria and determine whether “as-a-service” is right for your organization.

This webinar discusses best practices to overcome critical performance challenges for Kafka data streaming that can negatively impact the usability, operation, and maintenance of the platform, as well as the data and devices connected to it. Topics include: Kafka data streaming architecture, key monitoring metrics, offline partitioning, broker, topics, consumer groups, and topic lag.

This webinar explores the results of analyzing thousands of Spark jobs on many multi-tenant production clusters. The webinar will focus on common issues, the symptoms of those issues, and how you can address and overcome them without thinking too hard. Topics include best and worst practices, gotchas, machine learning, and tuning recommendations.

Join this webinar as it showcases Splunk’s ability to identify issues across complete web transactions that span the end-user experience on web browsers, all the way to backend services. In this session, you will learn:
- How engineers benefit from unsampled data and end-to-end visibility across complete web transactions
- How to quantify full stack performance (frontend and backend) on your end-user experience
- How to troubleshoot complex user impacting issues

Join SplunkLive! Virtual! This free interactive educational experience is dedicated to helping you remove the barriers between data and action. Designed for technologists who want to learn about the Splunk Data-to-Everything Platform and new users looking to unlock the value of their data to power business and drive transformation.

Join Splunk SRE leaders Ram Jothikumar and Jakub Barc where they will discuss exactly how they keep the Observability Suite running, by using Splunk Observability Cloud to get full insight into every transaction, no matter when or where it happens. In this webinar you will learn:
- How Splunk uses Splunk’s tools to monitor and optimize performance of a 24/7 application relied upon by users around the world
- How to use Splunk Infrastructure Monitoring combined with Splunk APM to determine within seconds when issues exist and where exactly in the stack they are occurring
- How Splunk APM lets Splunk isolate issues to particular customers or regions effortlessly
- Why Splunk’s Observability Suite is the optimal way to get insight into your application

Splunk provides visibility across the entire IT landscape – on-prem, hybrid/multi-cloud leveraging data from any source, at any scale, and in real-time. Infrastructure can and should be an enabler for companies as they embrace DevOps practices and the journey to Cloud. Find out how visibility and action can turn infrastructure from being a bottleneck to a transformation accelerator. What to expect:
- Define and implement strategies that fast-track your digital transformation
- Understand the importance of full-stack visibility for all IT and engineering assets
- Accelerate hybrid and cloud migrations

In this webinar, we’ll discuss how to prepare and ensure that your organization has a solid plan to manage big data analytics in the cloud. Topics include:
– Primary characteristics of big data and putting your data in the cloud
– The challenges of managing big data performance in the cloud
– FinOps (chargeback, analyzing wasted spend)
– Planning for day 2
– Achieving cloud performance
– Observability, continuous tuning, and managed autoscaling

During this webinar, hear from industry leaders, Ahmed Kamran Imadi, Big Data Solutions Engineering at Fortune 100 Financial Institution, Mark Kidwell, Chief Data Architect at Autodesk, Satish Nekkalapudi, Sr. Manager at Magnite, and VP of Customer Success Joel Stewart at Pepperdata about what role big data is playing in their business today and how they are adapting their IT ops and development teams to keep pace with change. Topics include:
- What will be big data’s role in the future for business and how will IT adapt and grow?
- How will the growth in big data affect IT ops and developer processes today?
- Will this change skill sets for these roles?
- What skills will be needed in IT as the need for big data increases?

Join Pepperdata Field Engineer Kirk Lewis for this discussion about operational challenges associated with maintaining optimal big data performance in the cloud, what milestones to set, and recommendations on how to create a successful cloud migration framework. Learn the following:
– What are the types of autoscaling?
– What does autoscaling do well?
– When should you use autoscaling?
– Does traditional autoscaling limit your success?
– What is optimized cloud autoscaling?

Running Spark on Kubernetes is growing in popularity. Reasons for the growth are improved isolation, better resource sharing, and the ability to leverage homogeneous and cloud-native infrastructure for the entire stack. But running Spark on Kubernetes in a stable, performant, cost-efficient, and secure manner also presents specific challenges. In this webinar, Alex Pierce will talk about how to optimize Spark performance on Kubernetes. Topics include:
– Making Spark-on-k8s reliable at scale
– Core concepts and setup of Spark on Kubernetes
– Configuration tips for performance and efficient resource sharing
– Spark-app level dynamic allocation and cluster level autoscaling
– Monitoring and security best practices

This webinar draws on experiences across dozens of production deployments and explores the best practices for managing Apache Spark performance. Learn how to avoid common mistakes, improve the usability, supportability and performance of Spark. Topics include:
– Serialization
– Partition sizes
– Executor resource sizing
– DAG management

Join industry experts from Splunk and Amazon Web Services (AWS) as they discuss how to efficiently scale Kubernetes applications with Amazon Elastic Kubernetes Service (EKS) and how to gain observability into your entire Kubernetes environment with Splunk -- no matter where you choose to deploy Kubernetes clusters; on the AWS Cloud or on-premises. Join the live webinar, Scaling Kubernetes with Splunk and AWS, and learn about:
- Challenges in operating distributed cloud-native environments such as Kubernetes
- Key considerations in choosing Kubernetes platform - on Amazon Elastic Compute Cloud (EC2), serverless deployments using AWS Fargate or on-premises using Amazon EKS Distro (EKS-D)
- Real-time monitoring and troubleshooting strategies for Kubernetes deployments
- Demo covering monitoring and investigation of real-world performance issues with Splunk

This webinar considers key aspects of cloud system observability and management, including cost management, ensuring compliance with agreed service-level agreements (SLAs), and balancing cloud resource usage to optimize performance. Attendees will learn about:
- The concept of observability for overseeing cloud-based big data applications
- Efficiently and autonomously optimizing big data environments at scale
- Automating performance analysis to help identify performance issues
- Determining where system complexity introduces congestion and bottlenecks that impact observing SLAs
- Understanding cloud service use and optimizing cloud service costs

With many companies prioritizing containers for more applications and more uses, an increasing area of concern for everyone in IT is finding a way to monitor, manage, and optimize performance across these sprawling environments. Join this webinar to learn:
– A brief history of current trends in computing, cloud, containerization, and Kubernetes
– Challenges: virtualization, distributed applications, and multi-cloud
– How to meet the demands of new microservices apps while maintaining legacy apps
– How to deploy, manage, monitor, and simplify: big data analytics monitoring, platform monitoring, and dynamic optimization
– Ways to reduce the complexity of monitoring and managing Kubernetes with automated full-stack observability
– What Kubernetes performance management success looks like

There are immutable laws and rules for many things, from nature to physics to karma. Observability, with its innate complexity, also has its own immutable rules, which transform elastic and ephemeral rote reactions to a clear and concise approach and understanding of your environment. Join this webinar to learn the rules you should understand with your approach to observability, including:
- The impact of open and flexible data ingest and instrumentation
- The impact of data retention and aggregation on blind spot analysis
- The observability corollary to the Von Neumann bottleneck
- The innate drive for seamless workflow integration

RESOLVE '21 is the only virtual conference designed exclusively for IT Ops, NOC, DevOps and SRE professionals who are creating the next-gen operations environment with AIOps, machine learning, automation and world-class incident management. BigPanda is excited to announce keynote speaker, Steve Wozniak, along with an agenda packed with networking opportunities, eight breakout sessions, games and more.

In this panel discussion, IT Ops pros from NTT Data, WEC Energy Group, Machinify and Blackrock 3 Partners provide insights on what IT Operations will look like in 2021 and how it will continue to evolve.Topics covered in this 45-minute session include:
- Remote workforce
- AI and Automation
- ITIL model
- Adopting SRE models
- New skills
- Big ideas for 2021

Join Anirban Chatterjee, Director of Product Marketing for BigPanda and Waldo Grunenwald, Technical Evangelist, Datadog as they discuss:
- transformation projects IT Ops customers they are working with are undertaking
- steps they are taking to accelerate those projects
- how they use modern observability, event correlation and automation solutions with AIOps to stay ahead of whatever 2021 brings them.

IDG conducted a survey of IT professionals examining how IT Ops teams have been impacted as the demand for digital services has skyrocketed since the start of the pandemic. During this webinar will present the survey findings as well as look at how IT Ops teams are planning for 2021 with a remote workforce model that is here to stay for the foreseeable future.

In this session, you will hear from Expedia, the World’s Travel Platform, on how they modernized Operations on one of the world's fastest-moving IT stacks, and why they chose the BigPanda AIOps platform to help them with their mission.

In this webinar, Splunk will share insights from customers, and chat with Splunk engineers to hear how they dogfood Splunk APM to troubleshoot issues in new products and services that Splunk creates. Join the webinar to learn about Splunk’s approach to modern APM and observability! During this session you will learn:
- How observability can help accelerate your transition to the cloud and modernize your applications
- The different levers you can pull in order to reduce MTTR
- Issues that our customers faced that prompted them to use a modern approach to APM
- How engineers at Splunk use this approach to troubleshoot issues, and what best-practices they recommend

Managing applications across different clouds is easier said than done. Organizations often cite challenges with siloed tools, inconsistent management and visibility gaps. In this session, Splunk and Google Cloud will demonstrate how Anthos and Splunk provide consistent ways to manage and monitor your workloads across multiple clouds. Join Splunk's webinar to learn:
- How to implement effective multicloud strategies and patterns.
- Anthos - how to achieve portability using Anthos across multiple environments.
- Multicloud observability with Splunk Infrastructure Monitoring and Splunk Cloud.
- Monitoring and investigation of real-world performance issues with Splunk.

A well-run incident may still be viewed poorly if incident communications miss the mark! All too often, technical problem solving is narrowly focused on finding root cause or staying so focused on the resolution that communications appear to be a distraction. While resolution is the holy grail of incident response, the benefit of placing a high priority on communications cannot be overstated. Hosted by BigPanda VP of Sales Engineering, Iain Armstrong, Blackrock3 Partners’ Rob Schnepp will share their incident communications methodology, and why the job function of Liaison Officer is so crucial. Key learnings from this session will include:
- Why incident communications are so important
- The role of Liaison Officer
- CAN reports
- Tips and tactics of Incident communications

What is required for modern monitoring? During this live Q&A you will learn from our expert panelists the core capabilities that will drive a successful monitoring strategy no matter what your stack looks like.

Companies are achieving quantifiable results with AIOps today. Customers who have implemented intelligent, analytics-driven technology report 64% reduction in costly outages, improved business service performance and visibility, and hundreds of thousand dollars saved through more efficient IT management. Join this virtual summit to learn from leading analysts, partners and customers on how activating AIOps can help you ensure and improve business outcomes. Attend this virtual event to learn:
- Industry trends and recommended best practices from thought leaders
- Technical deep-dive on using AI-driven monitoring for SAP environments and services
- How Splunk customers are activating AIOps to modernize IT management

You are invited to join hundreds of IT Ops, DevOps and SRE professionals for a virtual summit, hosted by BigPanda. Over the course of two days — September 30 and October 1, 2020 — a dozen customers and industry thought leaders will explain what factors set them up to manage through the last six months, what critical projects are on their 2021 roadmap, and any insights they want to share with other IT leaders who must be ready for anything.

Are your apps and services distributed in the cloud, getting refactored as microservices or becoming more complex? If they are, you must factor in observability. Observability is about using all your data to help you find unexpected failure conditions, explain why they happened, and resolve them - FAST. This event is about the challenges, opportunities, and best practices to successfully build observability into everything you develop, deliver or monitor. Top Reasons to Attend:
- Better understand how observability is critical to key initiatives, such as cloud migration, hybrid/multi-cloud monitoring, application monitoring, and incident response
- Get a first-hand look at the practices and technologies that are core to observability
- Learn from those who have embraced observability as their approach to achieve stellar service availability and performance

Rob Schnepp, former Incident Commander from the United States Fire Service and Paul Jacques, Incident Commander for Dell, will examine what it takes to be an effective Incident Commander. Hosted by BigPanda AVP of Sales Engineering, Iain Armstrong, the webinar covers the need for calm, directed, and cooperative discussions, and how to interact with the various stakeholders involved in the incident management life cycle, including the Liaison Officer, Scribe, subject matter experts, customers, executives and internal stakeholders.

In this session, BigPanda Field CTO Jason will explain what’s possible when you can create a big picture by enriching incidents with contextual information and unifying analytics.

In this webinar, BigPanda Field CTOs Jason Walker and Scott Stradley will talk about monitoring challenges and how to build the right monitoring strategy, tools and processes to collect alerts and turn them into meaningful insights and actions.