Effective AIOps with Open Source Software in a WeekDatabricks
Classic event, incident, problem and change management are ITSM practices that are getting integrated with DevOps/SRE and ML through a competency known as AIOps. Large streams of data generated through logs, metrics and traces are organized and computed using machine learning algorithms to extract insights on the anomalies of system behavior that could be impacting end-users and business transactions. Businesses cannot afford to see their end-users impacted by those anomalies and therefore would want to proactively predict the likelihood of systems regressing and take corrective action long before any material impact.
In this talk, we show the use of simple linear regression and multivariate linear regression techniques to predict the likelihood of system behavior resulting in one or two sigma of standard deviation. We show how to use FOSS tools to predict them using various decision trees that are integrated to high performing streaming platforms like Apache Flink, Apache Beam, Prometheus and Grafana which makes it a lot easier to visualize the various alerts and triage their way back to performing root cause analysis. These high performing systems are also backed by KAFKA for its streaming and distributed computing capabilities by partitioning the data for various staged analysis some of which can be done in parallel and concurrently based on the use cases. We present a fully integrated architecture that helps you realize a commercial AIOps capability without having to license expensive software products. The above open architecture allows you to implement various ML algorithms as needed and its agnostic to programming languages and tools.
The talk will combine various techniques with demos and is focused to practicing engineers and developers who are familiar with ML.
Combining logs, metrics, and traces for unified observabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Monitoreo sencillo de la infraestructura, de la ingesta a la visualizaciónElasticsearch
La visibilidad sobre la infraestructura es un elemento esencial, independientemente de que sea en tus propias máquinas o en la nube, virtualizada, en contenedores, o en un entorno híbrido. El Elastic (ELK) Stack, históricamente conocido por sus capacidades de logging, permite también monitorear tus métricas con el mismo rendimiento Descubre cómo facilitamos la ingesta de datos mediante cientos de integraciones prediseñadas, mejoramos tu día a día con alertas y machine learning, y mejoramos tus visualizaciones con nuevas herramientas desarrolladas para los casos de uso de monitoreo.
Conferencia principal: Evolución y visión de Elastic ObservabilityElasticsearch
Elastic Observability ayuda a conducir el tiempo medio de resolución hacia cero con una visibilidad de extremo a extremo en una sola plataforma. Escuche las últimas características y capacidades, y dele un vistazo al futuro.
Our post recession economy is demanding better decision making in a more timely and effective manner. Business Intelligence (BI) software is the next tool you can't do without! From financial reporting to budgeting, company consolidation to sales analysis, we'll show you creative and powerful ways to utilize Sage's BI tools. If you're looking for a software package that is going to provide you the information you need, when you need it, in a format you can understand, then you simply must attend this session.
Le monitoring d'infrastructure de l'ingestion aux données : un jeu d'enfants !Elasticsearch
La visibilité de votre infrastructure est essentielle, que ce soit sur le site ou dans le cloud, et qu'elle soit virtualisée, conteneurisée, ou basée sur un mélange hybride. La Suite Elastic (ELK), bien connue pour ses fonctionnalités de logging, a évolué pour intégrer un grand nombre de ces atouts à votre cas d'utilisation des indicateurs. Découvrez comment l'intégration simplifiée des données avec des centaines d'intégrations prédéfinies, l'automatisation des informations avec l'alerting et le machine learning, et les nouveaux outils visuels conçus pour explorer les indicateurs d'infrastructure permettent de rationaliser le cas d'utilisation de monitoring à l'échelle globale.
Application performance monitoring with Elastic APM and the ELK stackAlain Lompo
The recent technological improvements have make it really difficult to properly monitor application performances. Luckily great tools such as Elastic APM are taking care of the problem efficiently. Learn in this presentation how to diagnose, analyse and monitor your applications using Elastic APM.
Effective AIOps with Open Source Software in a WeekDatabricks
Classic event, incident, problem and change management are ITSM practices that are getting integrated with DevOps/SRE and ML through a competency known as AIOps. Large streams of data generated through logs, metrics and traces are organized and computed using machine learning algorithms to extract insights on the anomalies of system behavior that could be impacting end-users and business transactions. Businesses cannot afford to see their end-users impacted by those anomalies and therefore would want to proactively predict the likelihood of systems regressing and take corrective action long before any material impact.
In this talk, we show the use of simple linear regression and multivariate linear regression techniques to predict the likelihood of system behavior resulting in one or two sigma of standard deviation. We show how to use FOSS tools to predict them using various decision trees that are integrated to high performing streaming platforms like Apache Flink, Apache Beam, Prometheus and Grafana which makes it a lot easier to visualize the various alerts and triage their way back to performing root cause analysis. These high performing systems are also backed by KAFKA for its streaming and distributed computing capabilities by partitioning the data for various staged analysis some of which can be done in parallel and concurrently based on the use cases. We present a fully integrated architecture that helps you realize a commercial AIOps capability without having to license expensive software products. The above open architecture allows you to implement various ML algorithms as needed and its agnostic to programming languages and tools.
The talk will combine various techniques with demos and is focused to practicing engineers and developers who are familiar with ML.
Combining logs, metrics, and traces for unified observabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Monitoreo sencillo de la infraestructura, de la ingesta a la visualizaciónElasticsearch
La visibilidad sobre la infraestructura es un elemento esencial, independientemente de que sea en tus propias máquinas o en la nube, virtualizada, en contenedores, o en un entorno híbrido. El Elastic (ELK) Stack, históricamente conocido por sus capacidades de logging, permite también monitorear tus métricas con el mismo rendimiento Descubre cómo facilitamos la ingesta de datos mediante cientos de integraciones prediseñadas, mejoramos tu día a día con alertas y machine learning, y mejoramos tus visualizaciones con nuevas herramientas desarrolladas para los casos de uso de monitoreo.
Conferencia principal: Evolución y visión de Elastic ObservabilityElasticsearch
Elastic Observability ayuda a conducir el tiempo medio de resolución hacia cero con una visibilidad de extremo a extremo en una sola plataforma. Escuche las últimas características y capacidades, y dele un vistazo al futuro.
Our post recession economy is demanding better decision making in a more timely and effective manner. Business Intelligence (BI) software is the next tool you can't do without! From financial reporting to budgeting, company consolidation to sales analysis, we'll show you creative and powerful ways to utilize Sage's BI tools. If you're looking for a software package that is going to provide you the information you need, when you need it, in a format you can understand, then you simply must attend this session.
Le monitoring d'infrastructure de l'ingestion aux données : un jeu d'enfants !Elasticsearch
La visibilité de votre infrastructure est essentielle, que ce soit sur le site ou dans le cloud, et qu'elle soit virtualisée, conteneurisée, ou basée sur un mélange hybride. La Suite Elastic (ELK), bien connue pour ses fonctionnalités de logging, a évolué pour intégrer un grand nombre de ces atouts à votre cas d'utilisation des indicateurs. Découvrez comment l'intégration simplifiée des données avec des centaines d'intégrations prédéfinies, l'automatisation des informations avec l'alerting et le machine learning, et les nouveaux outils visuels conçus pour explorer les indicateurs d'infrastructure permettent de rationaliser le cas d'utilisation de monitoring à l'échelle globale.
Application performance monitoring with Elastic APM and the ELK stackAlain Lompo
The recent technological improvements have make it really difficult to properly monitor application performances. Luckily great tools such as Elastic APM are taking care of the problem efficiently. Learn in this presentation how to diagnose, analyse and monitor your applications using Elastic APM.
Elastic APM: Amping up your logs and metrics for the full pictureElasticsearch
No matter where you are in your journey to cloud native, Elastic APM can help you deliver better customer experiences by spotting performance bottlenecks sooner and identifying regressions from new deployments faster. Learn how to get a complete view of the services that power your applications — from frontend to backend — to keep them running smoothly.
Combining logs, metrics, and traces for unified observabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Improving Power Grid Reliability Using IoT AnalyticsDatabricks
Society depends on reliable utility services to ensure the health and safety of our communities. Electrical grid failures have impact and consequences that can range from daily inconveniences to catastrophic events. Ensuring grid reliability means that data is fully leveraged to understand and forecast demand, predict and mitigate unplanned interruptions to power supply, and efficiently restore power when needed. Neudesic, a Systems Integrator, and DTE Energy, a large electric and natural gas utility serving 2.2 million customers in southeast Michigan, partnered to use large IoT datasets to identify the sources and causes of reliability issues across DTE’s power distribution network. In this session, we will demonstrate how we ingest hundreds of millions of quality measures each day from DTE’s network of smart electric meters. This data is then further processed in Databricks to detect anomalies, apply graph analytics and spatially cluster these anomalies into “hot spots”. Engineers and Work Management Experts use a dashboard to explore, plan and prioritize diverse actions to remediate the hot spots. This allows DTE to prioritize work orders and dispatch crews based on impact to grid reliability. Because of this and other efforts, DTE has improved reliability by 25% year over year. We will demonstrate our notebooks and machine learning models along with our dashboard. We will also discuss Spark streaming, Pandas UDF’s, anomaly detection and DBSCAN clustering. By the end of our presentation, you should understand our approach to infer hidden insights from our IoT data, and potentially apply similar techniques to your own data.
Construção de uma plataforma de observabilidade centralizadaElasticsearch
Veja como o Elastic Observability capacita equipes de plataforma a criar centros de excelência com recursos como gerenciamento central para agentes, gerenciamento de ciclo de vida de índice e instantâneos pesquisáveis.
IBM and Lightbend Build Integrated Platform for Cognitive DevelopmentLightbend
By now you have likely heard the news that IBM has made a strategic investment in Lightbend to bring Reactive solutions to IBM Platforms. So, what does this mean for developers?
During this 30-minute conversation with Karl Wehden, Director of Product Management at Lightbend, and Sebastian Hassinger, from the Developer Partners and Ecosystems team at IBM, will explore the following questions:
1. Why did IBM choose to partner with Lightbend, and vice a versa - what intrigued Lightbend about partnering with IBM?
2. Why is Scala important to this vision of the “Cognitive Era”?
3. What types of companies are creating these types of cognitive applications, and what do you see this partnership doing to help them accelerate their efforts?
4. What tools and technologies will we see begin to collaborate first?
5. In which other IBM products and services will we see Lightbend technologies appear as a joint solution?
6. What is the impact on JVM developers, the tools they use and how they get started with these technologies?
Reinventing enterprise defense with the Elastic StackElasticsearch
In 2020 Uber's security team landed on a search and discovery platform heavily dependent on the Elastic Stack. While the security engineering challenges Uber faces on a day-to-day basis span far and wide, they're certainly not all unique to Uber — from correlating behaviors across data sources to building interfaces for examining security logs and crafting detection logic to surface malicious behaviors, to name a few. Hear the most impactful lessons learned from Uber's security journey, and how security practitioners everywhere can tackle pervasive enterprise security challenges using the Elastic Stack.
Elastic APM: amplificação dos seus logs e métricas para proporcionar um panor...Elasticsearch
Não importa onde você esteja em sua jornada rumo à nuvem, o Elastic APM ajuda a oferecer melhores experiências ao cliente, identificando gargalos de desempenho e identificando regressões de novas implantações com mais rapidez.
Watch this recorded demonstration of SnapLogic from our team of experts who answer your hybrid cloud and big data integration questions.
demo, ipaas, elastic integration, cloud data, app integration, data integration, hybrid could integration
Monitoring real-life Azure applications: When to use what and whyKarl Ots
Slides from my presentation at Intelligent Cloud Conf on 29.5.2018 in Copenhagen
Modern applications leverage a variety of services, and often span across on premises, IaaS, PaaS and SaaS. Monitoring these environments is different from traditional systems. We have more and more data available from the platform with the likes of ARM Activity Logs, Azure Monitor, Log Analytics and Application Insights.
With a massive amount of signal and noise being generated in all these systems, how do we get our arms around what is happening? Is my application impacted in an ongoing Azure outage? Are my integrations intact? Which services from Azure should I use to monitor my application end-to-end? Come and hear how to answer these questions. After the session, you’ll have deeper understanding of end-to-end monitoring techniques in Azure solutions and know which services to choose for which scenario.
.
An introduction to Elasticsearch's advanced relevance ranking toolboxElasticsearch
The hallmark of a great search experience is always delivering the most relevant results, quickly, to every user. The difficulty lies behind the scenes in making that happen elegantly and at a scale. From App Search’s intuitive drag and drop interface to the advanced relevance capabilities built into the core of Elasticsearch — Elastic offers a range of tools for developers to tune relevance ranking and create incredible search experiences. In this session, we’ll explore some of Elasticsearch’s advanced relevance ranking features, such as dense vector fields, BM25F, ranking evaluation, and more. Plus we’ll give you some ideas for how these features are being used by other Elastic users to create world-class, category defining search experiences.
Keynote: Elastic Observability evolution and visionElasticsearch
Elastic Observability helps drive mean time to resolution toward zero with end-to-end visibility in a single platform. Hear about the latest features and capabilities, and get a glimpse into the future.
Elastic APM: Amping up your logs and metrics for the full pictureElasticsearch
No matter where you are in your journey to cloud native, Elastic APM can help you deliver better customer experiences by spotting performance bottlenecks sooner and identifying regressions from new deployments faster. Learn how to get a complete view of the services that power your applications — from frontend to backend — to keep them running smoothly.
Combining logs, metrics, and traces for unified observabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Improving Power Grid Reliability Using IoT AnalyticsDatabricks
Society depends on reliable utility services to ensure the health and safety of our communities. Electrical grid failures have impact and consequences that can range from daily inconveniences to catastrophic events. Ensuring grid reliability means that data is fully leveraged to understand and forecast demand, predict and mitigate unplanned interruptions to power supply, and efficiently restore power when needed. Neudesic, a Systems Integrator, and DTE Energy, a large electric and natural gas utility serving 2.2 million customers in southeast Michigan, partnered to use large IoT datasets to identify the sources and causes of reliability issues across DTE’s power distribution network. In this session, we will demonstrate how we ingest hundreds of millions of quality measures each day from DTE’s network of smart electric meters. This data is then further processed in Databricks to detect anomalies, apply graph analytics and spatially cluster these anomalies into “hot spots”. Engineers and Work Management Experts use a dashboard to explore, plan and prioritize diverse actions to remediate the hot spots. This allows DTE to prioritize work orders and dispatch crews based on impact to grid reliability. Because of this and other efforts, DTE has improved reliability by 25% year over year. We will demonstrate our notebooks and machine learning models along with our dashboard. We will also discuss Spark streaming, Pandas UDF’s, anomaly detection and DBSCAN clustering. By the end of our presentation, you should understand our approach to infer hidden insights from our IoT data, and potentially apply similar techniques to your own data.
Construção de uma plataforma de observabilidade centralizadaElasticsearch
Veja como o Elastic Observability capacita equipes de plataforma a criar centros de excelência com recursos como gerenciamento central para agentes, gerenciamento de ciclo de vida de índice e instantâneos pesquisáveis.
IBM and Lightbend Build Integrated Platform for Cognitive DevelopmentLightbend
By now you have likely heard the news that IBM has made a strategic investment in Lightbend to bring Reactive solutions to IBM Platforms. So, what does this mean for developers?
During this 30-minute conversation with Karl Wehden, Director of Product Management at Lightbend, and Sebastian Hassinger, from the Developer Partners and Ecosystems team at IBM, will explore the following questions:
1. Why did IBM choose to partner with Lightbend, and vice a versa - what intrigued Lightbend about partnering with IBM?
2. Why is Scala important to this vision of the “Cognitive Era”?
3. What types of companies are creating these types of cognitive applications, and what do you see this partnership doing to help them accelerate their efforts?
4. What tools and technologies will we see begin to collaborate first?
5. In which other IBM products and services will we see Lightbend technologies appear as a joint solution?
6. What is the impact on JVM developers, the tools they use and how they get started with these technologies?
Reinventing enterprise defense with the Elastic StackElasticsearch
In 2020 Uber's security team landed on a search and discovery platform heavily dependent on the Elastic Stack. While the security engineering challenges Uber faces on a day-to-day basis span far and wide, they're certainly not all unique to Uber — from correlating behaviors across data sources to building interfaces for examining security logs and crafting detection logic to surface malicious behaviors, to name a few. Hear the most impactful lessons learned from Uber's security journey, and how security practitioners everywhere can tackle pervasive enterprise security challenges using the Elastic Stack.
Elastic APM: amplificação dos seus logs e métricas para proporcionar um panor...Elasticsearch
Não importa onde você esteja em sua jornada rumo à nuvem, o Elastic APM ajuda a oferecer melhores experiências ao cliente, identificando gargalos de desempenho e identificando regressões de novas implantações com mais rapidez.
Watch this recorded demonstration of SnapLogic from our team of experts who answer your hybrid cloud and big data integration questions.
demo, ipaas, elastic integration, cloud data, app integration, data integration, hybrid could integration
Monitoring real-life Azure applications: When to use what and whyKarl Ots
Slides from my presentation at Intelligent Cloud Conf on 29.5.2018 in Copenhagen
Modern applications leverage a variety of services, and often span across on premises, IaaS, PaaS and SaaS. Monitoring these environments is different from traditional systems. We have more and more data available from the platform with the likes of ARM Activity Logs, Azure Monitor, Log Analytics and Application Insights.
With a massive amount of signal and noise being generated in all these systems, how do we get our arms around what is happening? Is my application impacted in an ongoing Azure outage? Are my integrations intact? Which services from Azure should I use to monitor my application end-to-end? Come and hear how to answer these questions. After the session, you’ll have deeper understanding of end-to-end monitoring techniques in Azure solutions and know which services to choose for which scenario.
.
An introduction to Elasticsearch's advanced relevance ranking toolboxElasticsearch
The hallmark of a great search experience is always delivering the most relevant results, quickly, to every user. The difficulty lies behind the scenes in making that happen elegantly and at a scale. From App Search’s intuitive drag and drop interface to the advanced relevance capabilities built into the core of Elasticsearch — Elastic offers a range of tools for developers to tune relevance ranking and create incredible search experiences. In this session, we’ll explore some of Elasticsearch’s advanced relevance ranking features, such as dense vector fields, BM25F, ranking evaluation, and more. Plus we’ll give you some ideas for how these features are being used by other Elastic users to create world-class, category defining search experiences.
Keynote: Elastic Observability evolution and visionElasticsearch
Elastic Observability helps drive mean time to resolution toward zero with end-to-end visibility in a single platform. Hear about the latest features and capabilities, and get a glimpse into the future.
KTSL is an Elite BMC Software partner.
We sell, install and support BCM Software products to organisations across all sectors.
We also provide a range of value-added products that enhance our customers BMC Software tools.
This presentation describes our skills and gives an overview of the value added products that we provide, including:
- Alderstone CMT for BMC Remedy
- Bomgar for BMC service desks
- Hitachi ID for BMC service desks
- iCAN for BMC Control-M
- PWS ShareRemedy for BMC Remedy
- Scapa TPP for BMC Remedy
- Service Flow for BMC Remedy
- TekWurx uControl for BMC ADDM
- KTSL Professional Services
Please contact us for more information
Virtualization technology is helping to drive an increase in the utilization of computing assets while allowing managers to reduce operating costs through data center consolidation. However, in a recent CIO Magazine survey across 3000 customers throughout the world, there was a 42% jump in those reporting that virtualization has increased the complexity of their data centers. This complexity is being driven by the following issues as CIOs and IT managers work to combine the virtual data center with the their physical data center: * Virtual sprawl
* Consolidated Event Management
* Provisioning & Compliance
* Change & Configuration Management
In this 45 minute webinar, Pepperweed Consulting will discuss these issues and outline a roadmap and architecture using HP BTO Software solutions to ensure that you do not miss an operational beat and maximize your investment in virtualization technology.
Placement of BPM runtime components in an SOA environmentKim Clark
The service oriented architecture (SOA) reference architecture is intentionally simplistic at a high level but it holds some surprises when you look closely at how components really interact. This is especially true in relation to the placement of business process management (BPM) componentry. We discuss the most common design questions including: Is BPM a consumer or provider of services? To what extent should a user interface, be decoupled from the BPM runtime? How do we retain agility in BPM while adhering to the architectural separation of SOA? These subtleties are critical when designing solutions to reap benefits of both SOA and BPM simultaneously.
Webinar: Deploying the Combined Virtual and Physical InfrastructurePepperweed Consulting
Delivering complex business services in your organization demands a rigid approach to server deployment and management. Modern data centers often have distributed virtual and physical servers as well as management teams which make the challenge even more difficult. Increasing headcount in your group is typically not an acceptable answer so how do you manage the growing complexity? The answer lies in a complete physical and virtual server life cycle management solution which provides the automation of application deployments.
In Part IV of its five-part webinar series "Managing IT Operations in a Virtualized World", Pepperweed Consulting will discuss how a combination of HP Server Automation and HP Operations Orchestration can streamline the deployment of your operating systems, software and patches for both your physical and virtual infrastructure. We will also analyze how compliance and application release management play a key role in ensuring control over your server deployments.
Data center insights summit 2015 disruptive force of cloudscrbraun
60 - 70% of the typical IT operations budgets is wasted. The business model is broken. The major broken processes are the procurement process, the asset management process and the lifecycle management process. These must be corrected if companies hope to compete with competitors utilizing a cloud computing model.
RFG does data center optimization studies and offers recommendations on how to transform data centers.
A Practical Guide to CMDB Deployment in a Tivoli EnvironmentAntonio Rolle
This presentation focuses on the significance of the CMDB to your organization and offers practical guidelines for successful population of the CMDB utilizing the Tivoli Netcool suite of products. Specific products discussed include Precision for IP Networks, Tivoli Application Dependency Discovery Manager (TADDM), Tivoli Business Service Manager (TBSM) and Maximo.
Eliminate Risks in SOA Implementation & SupportSuneraTech
Presentation is focused on various types of risks faced by IT & business during SOA Implementation and how to bring value to Oracle Fusion Middleware SOA investments.
19. Application “Packaging” Process - - Platform Specific Packaging Tools Build Manager (Scheduler) PVCS Tracker IBM Rational Clearquest Source Control Compiler ANT Make CVS Subversion System V (Solaris) MSI (Wintel) RPM (Linux) Custom Scripts (Unix) Package Deploy to “Environment” Manual BladeLogic Application Release Manager
35. BMC customer case-studies CARFAX cut downtime in half, eliminated licensing and maintenance for servers no longer in use, realized an ROI of 285% and payback of seven months International Trucking increased job processing by 500% and manages 500,000 more jobs per month without adding staff Dresdner Kleinwort centralized planning and budgeting, increased transparency for IT spend, reduced cost centers by 90%, and achieved a first-year savings of 3M Euros Mutual of Omaha saved over $4M in critical business application downtime, reducing customer-impact problem tickets by 69% and downtime by 66% in the first year Cap Gemini deployed reduced server auditing and patching effort from 45 hours per month to one hour . Fault diagnostics takes 3 minutes per server, down from 37 minutes E*Trade is saving more than $4M in revenue annually by using incident prioritization to reduce unplanned downtime by 75 percent UBS reduced outage time for mainframe database changes by 97% Motorola consolidated to company-wide change process & Incident process, providing 30% reduction in MTTR , 60% reduction in unplanned outage time impacting users, and realized $11M in savings
Editor's Notes
Key points: -- BSM encompasses key functions in the IT organization: plan, support, and operations -- BSM covers a broad range of capabilities within each of these departments -- equally important, BSM is about bringing these functions together, and overall, bringing IT closer to the business services that it supports BSM is in part, about is the ability to bring together information and processes from across your IT organization. Implicit in this is the ability to cover a significant cross-section of functions within these organizations. BSM covers the key functions across your organization you rely on the most. Many IT organizations are building up planning and business operations organizations, sometimes characterized as a program management office, other times it's found in the business operations office. For these people we have seen the need to pull together information that has never been put together into a single view before. Therefore, our approach for the planning organization encompasses the five areas that you see on the slide. IT support is one of the areas that BMC has been supporting for some time. So much IT delivery in IT support workflow occurs in this organization, and therefore, in its ability to share information and processes is absolutely critical. BSM addresses these needs and providing a comprehensive workflow system as well as the ability to integrate this kind of information IT operations is in many respects the bedrock for IT organizations. It is where the majority of IT spend occurs, and the ability for this organization to do its job efficiently will make or break the success of many IT organizations. Therefore, it is more critical than ever to combine IT operations functions, moving away from "random acts of IT management" and pulling information together so that better decisions can be made, and that those decisions can be automated.
Key points: -- the BSM blueprint provides a map of capabilities you can build over time -- these capabilities are amplified when you implement BMC atrium -- by pursuing this approach to BSM, you'll be in a better position to make better decisions, cover your entire IT environment, and you will provide an architecture that allows for effective workflow, compliance, and growth BSM from BMC comes together in the graphic that you see here. A few key things to call out, as we don't plan to talk about each of these common sense individually at this time: -- note how some functions overlap each other. This illustrates just how important it is for IT organizations to be able to share information across traditional boundaries -- atrium is positioned in the middle for an important reason, which is that it is central to making a lot of the IT functions integrated, and helps ensure that the right people have the right information at the right time -- this architecture has been designed to provide three things that we believe make BSM from BMC unique in the industry 1. With this architecture, you're able to make better decisions, because the right information and a complete visibility to what you require is available 2. BMC’s unique architecture, largely based on BMC atrium, provides extremely robust workflow, and the ability to manage IT management information 3. BMC’s focus that spans mainframe and distributed, as well as virtual and physical environments allows you to pull together a complete view of your IT organization. You don't need to section it off into various views. This becomes especially important as you perform compliance tasks, and other decision-making tasks that require you to have 100% visibility into the entire breadth and depth of your projects, people, assets, and status of your IT organization.
Key Points Performing problem isolation and maintaining performance remain in the second tier of concerns; however, Gartner believes that these will increase in importance with rising consolidation ratios and the increasing virtualization of mission-critical applications
Single architecture leverages Atrium CMDB for event, impact and ITSM Integrated workflow between event identification, incident track and problem remediation Proactive, business-impact based Incident and Problem Management
Key points: -- BSM can simultaneously address multiple IT business objectives -- these are not theoretical arguments, these are statements based on actual customer successes With BSM, you can make breakthroughs against multiple IT business objectives. Although results may vary, we have seen some pretty consistent patterns of success with business service management, which you can see on the right-hand portion of the slide. Furthermore, we have a number of customers that it significantly exceeded these benchmarks for addressing these highly tangible objectives: IT costs is probably the most measurable metric, and one we have had tremendous success with. Customers will benefit across their planning, support, and operations functions in this area. At Dresdner Kleinwort: Eliminated 20 FTEs, First year savings: $3M Euro . Centralized planning and budgeting efficiency (1,500+ cost centers reduced to 150). Increased transparency resulted in improved governance, more strategically aligned IT decisions and increased credibility (BMC Service Resource Planning) Comcast : BMC Remedy Service Desk has driven Incident and Problem management improvements, allowing a 200% productivity increase for Customer Service staff, increasing first call resolution and MTTR, driving a $50K/day service improvement and overall $18.25M per year saving . AT&T achieved 30 percent savings on elapsed times for billing runs, consolidated monitoring of more than 100,000 jobs per day, reduced scheduling related headcount by 75 percent (BMC CONTROL-M) IT business impact has also been highly proven as result of business service management With BSM, a large European and Latin American bank has reduced the time to deploy new services by more than 50 percent . The bank now manages its infrastructure from a business perspective and has improved both quality of service and IT responsiveness. Further, it has met compliance goals for asset management, driven down third-party maintenance costs, and reduced the number of vendors used. A leading multinational aerospace manufacturer and advanced technology company saved more than $6.5 million dollars and increased customer satisfaction by more than 70 percent by adopting BSM. Quality of service is yet another metric that is very objective, and this is one that we have seen our customers deliver tremendous improvements as a result of applying business service management processes and technology A telecommunications company reduced the manual handling of exceptions from 147,000 on a quarterly basis down to 4,800 , improving its ability to complete jobs in a timely manner and achieve SLA deadlines. The company also reduced the headcount in the scheduling area from 180 down to 25 , resulting in a savings of more than $10M. An Institutional Securities Group achieved 99.9 percent availability , a key performance indicator for a critical business objectives. The customer estimates savings of 50 percent in administration time , and also estimates a savings of up to 30 percent in storage cost avoidance . IT organizations are also able to reduce risk on a number of fronts: A leading manufacturer consolidated multiple processes into a single companywide change process, providing 30 percent reduction in mean time to repair , 60 percent reduction in unplanned outage time impacting users, and an $11M “ savings ” in change management alone. A systems integrator reduced server auditing and patching effort from 45 hours per month to one hour . Fault diagnostics now take 3 minutes per server, down from 37 minutes. A global financial services company reduced outage time for mainframe database changes by 97 percent. U.S. Army Manages compliance and configuration control in a large, multi-vendor data center with BMC. Reduced man-hours by 75%, while improved change success rates from 35% to 95% And finally, through effective implementation of dashboards, and produce and portfolio management processes and technologies, IT has been able to provide transparency both inside the organization and outside the organization, replacing massive spreadsheet drills with management technologies that can immediately rollout resources required to deliver on IT and business objectives. In addition to saving costs, Dresdner Kleinwort demonstrated that with effective use of this technology, they were able to make very clear how the IT agenda aligned with the business agenda, and are even able to reduce the number of cost centers from 1500 down to 150. A Specialized Financial Institution in California initiated a new Vendor Management Office (VMO) leveraging BMC Vendor Relationship Management and saved $350K in the first three months by rationalizing vendors and creating transparency into the vendor portfolio . By deploying Governance and Compliance Management, the CIO and his team eliminated silo-based compliance and automated manual processes, reducing the overall headcount required to manage compliance. (BMC Service Resource Planning) Reduce labor 25% - comes from Forrester Total Economic Impact study: http://www.bmc.com/USA/Corporate/attachments/TEI_CMDB_FINAL_version_2-21-08_V3.pdf Lockheed : Using BMC Remedy ITSM Service Desk Lockheed Martin has seen resolution matching of Incidents increase from 15% to 76% , allowing first call resolution to improve from 91.5% to 96.5% and Customer Satisfaction up from 96.2% to 98.5% … this has driven a $6.5M saving in the first year 1, $1.2M ongoing annual savings. (BMC Service Support) BellSouth : Using BMC Remedy Change Management, Bellsouth has been able to achieved a 55% reduction in cost per event , 91% reduction in manual efforts required for an Incident, and $200K in year 1 and $1.1M in year 2 saved in per event costs. (BMC Service Support) REDUCED FAILED CHANGES 50% reduced failed changes - Forrester Total Economic Impact survey - http://www.bmc.com/USA/Corporate/attachments/TEI_CMDB_FINAL_version_2-21-08_V3.pdf Motorola : Used BMC Remedy ITSM to consolidate Service Desks (25 into 1) handling 100k incidents per month. One companywide change process managing 5k changes per month all based on the CMDB . 30% reduction in MTTR . 60% reduction in unplanned outage time impacting users. $11m “savings” in Change Management alone (first project). $32m “savings” for ITSM when fully deployed. ( BMC Service Support) ACCELERATE ITIL INITIATIVES BBVA: Used BMC ITSM to meet compliance goals for Asset management . Drove down 3rd-party maintenance costs . Reduced number of vendors (CA, Topaz, Tivoli). Time to deploy new service improved more than 50%. (BMC Service Support) Also, this is estimate from implementing Service Management Process Model (SMPM) eTrade : Used BMC Application Performance and Analytics to underwrite its “ 2-second trade guarantee ” and realized 15% Y-Y IT cost reduction by automating event monitoring. The company also patch audited and remediated 2,660 servers automatically in 2 weeks vs. in months. (BMC Service Assurance) A telecommunications manufacturer consolidated to one company-wide change process, providing 30% reduction in MTTR , 60% reduction in unplanned outage time impacting users, and realized $11M in savings An international hospital group has reduced time to resolution for critical incidents by 68% and achieved $1.2M of annualized IT labor savings Mutual of Omaha reduced business application downtime by 66%, decreased customer-impact problem tickets by 70% and saved $4M through productivity gains. Chicago Mercantile Exchange used BMC BladeLogic Operations Manager to improve its administrator to server ratio from 45:1 to 112:1 , effectively handle 40,000 weekly changes and eliminate server configuration outages , and become fully compliant with SOX 404 . (BMC Service Automation) Telecom Italia standardized its policies, automated cross-platform patching and audit and remediation tasks to reduce time and effort by more than 90% . (BMC Service Automation) VirginMobile – reduced audit cycle time from 2 months to 5 days (BMC Service Automation) Intel – handled network security audits and remediation in 30 minutes vs. 60 days (BMC Service Automation) International Trucking manages 500,000 more jobs per month — without adding staff, increased job processing by 500 percent , and realized 5 percent aggregated CPU resource savings (BMC CONTROL-M)
Key points: -- BMC has a very broad customer base that it has built over 28 years -- in addition to expecting some breakthroughs in cost structures, business impact, and your ability to reduce risk, improve QoS, and , here you can see some cases for customers really got some additional value out of BSM solutions BMC has been delivering business service management for quite a while, and as a result, we have built up a loyal customer base that spans every major vertical, and in every region. Perhaps more important, these customers are truly seen success as a result of implementing business service management. They're implementing things incrementally, doing it quickly, and seen very clear returns on their investments. Here, you can see an example of those customers that are realizing those benefits with business service management