IBM Edge 2015 Infographic
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TeamQuest provides performance software and services that analyze data from various IT monitoring and management tools. It uses existing data collectors from these tools to deliver descriptive, diagnostic, predictive, and prescriptive analytics. This helps customers understand the impact of changes, have peace of mind, prevent failures through predictive analytics, and optimize their IT environment through prescriptive recommendations.
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Dave Wagner, TeamQuest Advocate, and Chris Lynn, Safeway's Capacity and Performance Management, cover the application of automatic, exception-oriented analytics to a wide variety of IT and business metrics in order to simultaneously optimize service performance and IT cost. Multiple conceptual approaches will be presented, including pros and cons. Most of the presentation will be real examples by which Safeway has integrated performance, capacity, business, and power data into an automated optimization process spanning 1000’s of servers and virtual servers and their applications.[WSO2Con EU 2017] Deriving Insights for Your Digital Business with Analytics
We are at the dawn of digital businesses that are re-imagined to make the best use of digital technologies, such as automation, analytics, cloud, and integration. These businesses are efficient, are continuously optimized, proactive, flexible and are able to understand customers in detail. This slide deck explores how the WSO2 analytics platform plays a role in your digital transformation journey.
Machine Data Analytics
Gain New Insights by Analyzing Machine Logs using Machine Data Analytics and BigInsights.
Half of Fortune 500 companies experience more than 80 hours of system down time annually. Spread evenly over a year, that amounts to approximately 13 minutes every day. As a consumer, the thought of online bank operations being inaccessible so frequently is disturbing. As a business owner, when systems go down, all processes come to a stop. Work in progress is destroyed and failure to meet SLA’s and contractual obligations can result in expensive fees, adverse publicity, and loss of current and potential future customers. Ultimately the inability to provide a reliable and stable system results in loss of $$$’s. While the failure of these systems is inevitable, the ability to timely predict failures and intercept them before they occur is now a requirement.
A possible solution to the problem can be found is in the huge volumes of diagnostic big data generated at hardware, firmware, middleware, application, storage and management layers indicating failures or errors. Machine analysis and understanding of this data is becoming an important part of debugging, performance analysis, root cause analysis and business analysis. In addition to preventing outages, machine data analysis can also provide insights for fraud detection, customer retention and other important use cases.
Deteo. Data science, Big Data expertise
This document discusses data science and related topics. It summarizes that data science involves deriving knowledge from large, structured and unstructured data using techniques like data mining, machine learning, and big data analytics. It provides examples of industries that use these approaches for applications such as fraud detection, sales predictions, and recommendations. The document also outlines Deteo's data science service offerings and expertise in areas like recommendation systems, machine learning, and analyzing structured and unstructured data using tools like Hadoop, R, and Python.
AntWorks Corporate Credentials
AntWorks is a global technology services company that offers future-proof, ‘user-first’ solutions to a wide range of traditional and new age enterprises. We help organizations expedite business decisions, automate processes, draw insights and deliver delightful user experiences. We stand to re-imagine IT by pushing the boundaries of innovation and information to spread the joy of technology.
Don't Leave Your Traditional IBM Systems Out of Your IT Operations Efforts
This document discusses using Ironstream to integrate traditional IBM systems like mainframes and IBM i servers into modern IT operations management. It provides an overview of challenges in collecting and analyzing log data from these systems due to complex data structures and volumes. Ironstream provides a solution by collecting this data in real-time, normalizing it, and enabling analytics across all platforms without requiring specialized expertise. Customer examples show how Ironstream has helped organizations monitor operations, ensure security and compliance, and gain better visibility into their entire infrastructure.
Using real time big data analytics for competitive advantage
Many organisations find it challenging to successfully perform real-time data analytics using their own on premise IT infrastructure. Building a system that can adapt and scale rapidly to handle dramatic increases in transaction loads can potentially be quite a costly and time consuming exercise.
Most of the time, infrastructure is under-utilised and it’s near impossible for organisations to forecast the amount of computing power they will need in the future to serve their customers and suppliers.
To overcome these challenges, organisations can instead utilise the cloud to support their real-time data analytics activities. Scalable, agile and secure, cloud-based infrastructure enables organisations to quickly spin up infrastructure to support their data analytics projects exactly when it is needed. Importantly, they can ‘switch off’ infrastructure when it is not.
BluePi Consulting and Amazon Web Services (AWS) are giving you the opportunity to discover how organisations are using real time data analytics to gain new insights from their information to improve the customer experience and drive competitive advantage.
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Vendor Selection Matrix - Capacity Management - Top 15 Vendors in 2016
Independent analyst report on the top 15 vendors in capacity management software and SaaS. More than 1300 IT buyers of capacity management software were surveyed and more than 20,000 data points collected and evaluated. Vendors are ranked in terms of:
*Vision & Go-To-Market
*Innovation & Partner Ecosystem
*Company Viability & Execution Capabilities
*Differentiation & USP
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*Market Share & Growth
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*Price vs Value
TeamQuest was ranked #2 overall and has the highest scores for customer satisfaction and price vs value in the industry.
Eliminate Turbulence Between IT and the Business with Business Value Dashboards
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Learn how to communicate IT’s value to business stakeholders. Gain an understanding of business value metrics (BVM) and how to leverage BVMs to translate operational data into business-driving information. Discover how to use Business Value Dashboards (BVD) to add context, algorithms, and business dimensions to IT data. Learn best practices for managing your BVD to align with the business long-term. Give executives the answers they need – clearly displayed, anytime, anywhere – to drive results.IT Maturity: Lady Gaga and her Effect on Infrastructure Performance and Capac...
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TeamQuest shares a story about the power of Lady Gaga and her Little Monsters on your infrastructure. See how you can combine your performance and capacity capabilities to mitigate risk, keep your website and services running, and gain the confidence of the business.
Adopt more mature processes to increase agility, increase efficiency, and be competitive. Your tools must help you observe your environment, resolve problems fast, predict upcoming hiccups, and guide your decisions so you can balance performance, cost and risk.
The maturity model can help you with virtual machine management, cloud deployment, infrastructure planning and monitoring.
Visit the TeamQuest website for more information - http://itsoemail.teamquest.com/l/33842/2015-06-24/24vdfyInfographic: Is IT Service Optimization Worth It?
To invest, or not to invest? That...is an easy question. Unless you have money to burn, you can't afford NOT to invest in IT Service Optimization solutions. Millions and millions of dollars are invested in IT infrastructure. If it's not optimized, it's like driving a Maserati on a dirt road.
Infographic: Plan for Success!
Forewarned, forearmed...to be prepared is half the victory. Take a look at the anatomy of a disaster and the anatomy of a success. Spend more time on creating a great user experience versus having to explain why your new service isn't working as advertised. IT and business can collaborate to forecast business demand to accurately predict IT requirements to support business demand
Infographic: Why Optimize IT?
There are hundred of thousands...if not millions of reasons to optimize IT. Downtime costs money, a lot of money. Imagine if you could achieve these results: record sales, no IT performance issues, reduce annual IT budget by 25%, have record number of transactions with no increase in call center activity, gain 4 hrs/day by preventing performance issues. Mature IT Service Optimization process improve IT Efficiency, Business Productivity, Workforce Productivity, Agility, Service Delivery Risks, and New Service Implementations.
Analytics: The Next Killer App for Optimizing IT? #GartnerIOM
“Killer Apps” have long driven explosive IT technology growth; from office suites and PCs to web browsers, distributed servers, and networks. Each technology adoption cycle happens ever faster, with concomitant increases in complexity, cost, and performance optimization challenges. Virtualization, Cloud and Software Defined Data Centers (SDDC) raise the bar to new heights. This presentation will present real and conceptual examples of analytics to help automate, align, and accelerate IT optimization in support of business services.
It's Time the Data Center Gets the "Moneyball" Treatment
Hear a new approach to predicting IT and business performance. Join TeamQuest Director of Market Development Dave Wagner as he explains why old, traditional methods are failing.
Wagner will present what he calls the "Moneyball treatment" (loosely based on sabremetrics - an approach to measuring and analyzing complex, previously unappreciated data relationships, famously first applied to sports performance and played out in the movie, "Moneyball").
Learn ways to better identify relationships across widely disparate data sets. Predict IT and business performance based on these relationships combined with historical and current performance. Real predictions cannot be based on simple trending approaches because they don’t factor the ugly realities associated with resource contention.
A #Pink14 Presentation: Optimizing for the #SDDC
Today’s infrastructure situation is increasingly becoming virtualized everything (servers, storage, desktops, networks) with clouds growing in importance has given way to the term Software Defined Data Center (SDDC). The SDDC has it’s own challenges. Challenges like whether or not to include legacy or non-virtual resources, interoperability of multiple vendors’ converged infrastructure systems, and the management of SDDC remains a mystery.
Understanding the Real Value of IT and Proving it to the Business
CIOs want IT to demonstrate business value, but only 27% of those surveyed believe IT contributes to the company's strategic business goals. Find out how IT can effectively measure cost and value, properly plan for future business successes, and focus on business goals in this special report from Computer Weekly.
Optimizing IBM AIX Enterprise Environments
In IBM AIX environments, there are multiple data sources and there is a abundance of performance data, but what you need is actionable information:
- You need to know which servers are underutilized
- You need to know which servers have resource capacity issues
- You need to be able to quantify the waste to support business decisions
- Anticipate business trends, cycles, and demands and avoid unpleasant surprises
Enterprise Capacity Optimization - Capacity Management Over Everything
Traditional performance analysis and capacity planning encompassed deep-dive, technology domain-specific metrics, tools and skillsets; limiting feasibility to only the largest, most critical enterprise resources. Optimizing today’s complex and dynamic environments with almost all resources dynamic and virtualized or cloud-based - requires a new process. Discover a flexible, automated and business service-aligned process. View real-world examples of businesses optimizing enterprise capacity by marrying existing technology, business, service, asset, financial, power and other metrics. This presentation was delivered at the Gartner IT Infrastructure & Operations Management Summit.
Optimizing IT Costs & Services With Big Data (Little Effort!) - Case Studies ...
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IT organizations have a wealth of Service Management and Service Delivery tools, processes and metrics that typically exist in relative isolation. This session will present detailed real-life examples of how existing tools and metrics can be brought together using big data techniques to optimize costs and performance of IT environments.Big Data - Marrying Service Management With Service Delivery - #Pink13
TeamQuest advocates applying "big data" approaches to capacity management to optimize resources through faster, scalable techniques. Traditionally, capacity management focused on technology and was staff-intensive, but new approaches integrate data from technology, services, and business sources using federated analytics. This provides a single view of capacity across the organization and correlates different metrics like response time, tickets, and financial data to surface new insights for optimizing efficiency.
State of Capacity Management
IT managers share that they and their organizations could be more mature in their service delivery efforts, affecting their overall IT efficiency. Companies typically tend to be more reactive in nature, allowing less than ten percent of their staff's time to be spent on proactive improvement efforts, like capacity planning and performance management. Proper capacity management has a positive impact across all IT areas, according to survey findings. Virtual machine management is not without its struggles, but proper planning is cited as a solution. Find out what else IT managers had to say about their state of capacity management and how it affects their ability to effectively plan, deliver and manage IT resources.
How to Do Capacity Planning
The document discusses how to perform capacity planning in three steps:
1. Determine service level requirements by defining workloads, units of work, and expected service levels.
2. Analyze current capacity by measuring service levels, resource usage, and workload impacts to identify constraints.
3. Plan for the future by forecasting changes and ensuring sufficient capacity through configuration changes.
Real-world examples are provided using a scheduling application and TeamQuest performance tools.
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The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
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CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
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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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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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IBM Edge 2015 Infographic
- 1. teamquest.com TEAMQUEST ® PERFORMANCE SOFTWARE manymore! SERVICES CLOUD APPLICATIONS MIDDLEWARE DATABASES OPERATING SYSTEMS HYPERVISORS SERVERS NETWORK STORAGE Analyzes everything you’ve got. TeamQuest CMIS BMC • TCO/BCO • BPA • Patrol CA Nimsoft HP • OVPM & OVPA • OVPI • Reporter IBM • TDW • TDS IntelliMagic Microsoft • SCOM • MOM VMware vCenter Netuitive Oracle • OEM Intel DCM APC and more... manymore! Uses existing data collectors. IT Service Optimization Automated Predictive Analytics & Capacity Management Delivers the analytics you need.
- 2. What does it mean? Descriptive Analytics Process incoming data to drive actions and alerts Type of question answered Data mining to discover patterns and identify root causes Diagnostic Analytics Calculating optimal configurations for current and future needs Predictive Analytics Propose optimal actions based on predictions Prescriptive Analytics Copyright © 2015 TeamQuest Corporation. All Rights Reserved. TeamQuest and the TeamQuest logo are registered trademarks in the US, EU and elsewhere. All other trademarks and service marks are the property of their respective owners. teamquest.com IT Service Optimization Analytics Do you understand the impact of change? Do you have peace of mind? • Automatically predict IT failures • View apps, servers & storage together • Use analytics to focus on what matters PREVENT RESOLVE OPTIMIZE CHAOTIC REACTIVE PROACTIVE SERVICE VALUE Descriptive Analytics Diagnostic Analytics Predictive Analytics Prescriptive Analytics IT Service Optimization M aturity “What do we have and what is it doing?” “Why is it doing this?” “When will it break and why?” “What should we do to prevent it?”