In this session, Matheus Milani will present and demo two of WatchTower’s core capabilities: – Centralized mainframe alert insights, which streamlines IT workflows so that IT staff can accelerate problem identification, investigation, and incident resolution. – ML Insights, which uses machine learning to proactively detect when systems are behaving abnormally and provide anomaly alerts to […]
The Broadcom WatchTower Platform for Mainframe Observability
Broadcom invests in the most strategic and business-critical technologies for our customer base. Our business model is based on an investment strategy where we maximize re-investment into technological leadership. We lead the industry in investing our profits back into R&D and will always continue to invest in and fund that innovation. We aim to lead […]
Simplify Mainframe Management with AI and Cloud using the BMC AMI Platform
Anthony DiStauro presents the BMC AMI Platform initiative, designed to simplify mainframe management by integrating AI and cloud technologies. The initiative addresses the challenge of an evolving workforce, where experienced professionals are retiring and new entrants, proficient in modern programming languages and cloud concepts, are joining the industry. DiStauro emphasizes the importance of leveraging AI […]
Measuring What Matters with BMC AMI zAdviser DORA Metrics Dashboards
In this presentation, Anthony Anter, a DevOps Architect and Evangelist for BMC Software, discusses the importance of measurement in mainframe transformation and the value of BMC’s zAdviser tool. He emphasizes that organizations often invest heavily in new tools and processes but struggle to quantify the value of these investments. Anter highlights the reluctance of many […]
Mastering the Fear of Change with BMC AMI DevX Code Insights
Mark Schettenhelm, Product Manager from BMC, addresses the pervasive fear of change within mainframe environments, particularly when dealing with COBOL applications. He argues that the issue is not COBOL itself, but rather the monolithic and complex nature of existing COBOL programs, which have become difficult to maintain and evolve. Schettenhelm highlights that modern developers are […]
PopUp Mainframe Deep Dive and Demo
PopUp Mainframe enables organizations to spin up ephemeral z/OS instances in under 10 minutes running on-prem and in the cloud. PopUp comes with automation and DevOps tools preconfigured and ready to use. Using PopUp & Delphix, full z/OS environments can be bookmarked and rewound at the click of a button. In this demo, Gary Thornhill, […]
Deliver Changes Faster, Cheaper and Better with PopUp Mainframe On-Demand z/OS Instances for DevTest
PopUp Mainframe is a cutting-edge mainframe modernization product. PopUp Mainframe enables customers to create z/OS environments on-demand and deploy them anywhere, including in the cloud. PopUp Mainframe is a game changer for organizations which rely on mainframe as it removes the bottlenecks surrounding mainframe environments and finally allows mainframe projects to be fully agile! PopUp […]
Selector AI Alerting Discussion with Nitin Kumar
Selector delivers consolidated, actionable alerts through your preferred collaboration platform, such as Slack or Teams. Alerts depend on Selector’s powerful event correlation fueled by advanced AI/ML techniques. Automations can be leveraged to generate service tickets that include detailed summaries, root cause analysis, and even suggested remediations.
Selector AI Demo: Part 2
In this demo, a user leverages Selector’s Conversational AI, Selector Copilot, to investigate performance within their network infrastructure. The user first probes into the health of tenants located in a specific geographic region. Selector Copilot provides a visualization of the current state and summarization of the overall condition and afflicted tenants, along with probable root […]
Selector AI and the Workings of an LLM
An LLM differs from a function in that it takes output and imputes, or infers, a function and its arguments. We first consider how this process works within Selector for an English phrase converted to a query. We then step through the design of Selector’s LLM, which relies on a base LLM trained with English […]
Solving the Query Problem with Selector AI
Selector translates English phrases to SQL queries through the use of an LLM. Each SQL query includes the table, or data set to be searched, along with filters, or conditions which prune the search results. We walk through a number of SQL queries and sample search results, before considering the LLM-based translation of a sample […]
Democratization of Data Access Using Network LLMs with Selector AI
In this brief demo of the Selector platform, a user interacts with Selector Copilot to explore behavior within their network infrastructure. They first look into the latency of their transit routers, revealing a regional issue. The user drills down into network topology information to further investigate the latency, where they access details about devices, interfaces, […]
Selector AI Introduction with Debashis Mohanty
Selector’s customer base includes 50 deployments across service providers as well as large enterprises in retail, media distribution, colocation services, and multi-cloud networking services. These customers aim to correlate events across their network, applications, and infrastructure; eliminate the need for human intervention in RCS and remediation; and democratize access to insights using conversational natural language […]
Arrcus Demo: Egress Cost Control (ECC)
In this section, Arrcus will demonstrate ECC to help reduce Cloud Egress charges, for accessing Al workloads across clouds. They will discuss how the platform can consolidate data and reduce communications to avoid incurring unnecessary charges as well as showcasing integration with cloud platforms to help optimize spending and usage patterns.
Arrcus Demo: 5G Network Slicing on BlueField 3
In this demo, Arrcus will demonstrate offload of SRv6 on BlueField 3, for 5G Network Slicing. They will show the ease in configuration as well as the increase in throughput and performance gains.
Arrcus Automation: Beyond Orchestration
In this section, we will share how Arrcus is helping automate networking for DC, to simplify operations and reduce OPEX. We will also discuss how Arrcus can increase service delivery while being proactive about finding issues with operational teams and remediating them before they impact downstream customers.
Arrcus Introduction and ACE-AI Platform
Arrcus delivers a modern, software-programmable network, deployable on wide range of merchant silicon/compute for a wide range of use cases from Edge to Core to Multi-cloud. Now with ACE-Al, Arrcus has a unique platform that seamlessly connects Distributed Al workloads for Training & Inferencing, with a high performance, lossless network. This presentation will cover next […]
cPacket Network Observability for AI
cPacket started its network observability journey with electronic trading system and their unique challenges of microbursts. However today we’re seeing the same exact challenges with microbursts, and low-latency with the massive AIML clusters built around the world. cPacket is using our unique IP and working with our customers and partners to deliver the solutions that […]