DOCSLIB.ORG

IBM Application Performance Management

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

Tivoli Usergroup Austria, March 2014 Service Monitoring - IBM Application Performance Management Ingo Averdunk IBM Distinguished Engineer Softwaregroup Services 1 © 2014 IBM Corporation Please note IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here. 2 © 2014 IBM Corporation Agenda ° End-to-End Service Monitoring ° Neues von der Pulse ° IBM Application Performance Management 3 © 2014 IBM Corporation End-to-End can have different meanings ° Platform : Windows, Linux, Unix, zOS ° Domain Monitoring Coverage : OS, Database, Middleware, Messaging, ERP, … ° User Experience : Availability & Response time as seen from the Browser ° Monitoring Aspects : Vertical, Horizontal, Aggregation ° Problem Management : Sense, Isolate, Diagnose, Repair ° Deployment Pattern : On-premise – Hybrid – Cloud ° Lifecycle : Development – Test – Production ° OSI-Model : physical layer - … - application layer ° Agent technology : Agent-less and Agent-based, Element Manager ° Sourcing : Point Products – hybrid – single product ° Manager of Manager aspects ° ITIL : support of Incident & Problem Management, Availability, Performance, Capacity, Compliance, Metering & Accounting ° … 4 © 2014 IBM Corporation ITM Coverage © 2014 IBM Corporation Themes of Pulse 2014 ° Innovation / Optimization / Partnership ° Service Engage – APMaaS – TWAaaS – SCCDaaS – Maximo-aaS ° Analytics – SmartCloud Analytics - Log Analyzer (SCA-LA) – SmartCloud Analytics – Predictive Insight (SCA-PI) – Netcool Operations Insight (NOI) ° Cloud – Softlayer – Blue Mix – dev@Pulse ° Open Standards, in particular OpenStack 6 © 2014 IBM Corporation The nature of the application is changing…. Rapid delivery of client facing applications and new consumption models are shifting focus and success metrics to support the business Traditional IT systems Cloud, Analytics, Mobile, Smart Infrastructure, Social Touchpoints (Systems of Record) (Systems of Engagement) CRMCRM HRHR LegacyLegacy ERPERP DBDB Manage workloads Rapid innovation User experience and and maintain security in the cloud mobile management 7 © 2014 IBM Corporation IBM APM: Adapting to Market Changes Taking the aforementioned market changes into account, how is IBM’s APM portfolio adapting? • Increased Breadth • Extending platform coverage to new application languages, such as Ruby, Python, PHP, mySQL, Mongo DB and Node.js • Expanding APM architecture to manage different types of workloads, such as Cloud applications • Flexible Delivery Options • Streamlining APM delivery by creating SaaS, test/dev, public Cloud, and virtual appliance deployment options • Enterprise customers can seamlessly transition between deployment options with consistent technology and user interface • DevOps • Integration with Rational offerings to make DevOps initiatives practical and rewarding • Integrate with UrbanCode capabilities to promote well-managed Continuous Delivery • Mobile • User experience monitoring for mobile users, as well as mobile infrastructure monitoring • Enhanced Analytics • Extend APM problem detection with predictive outage avoidance, optimize performance through integrated context sensitive search across metrics, events and log files, and optimize performance with capacity trending and modeling • A Better User Experience • Common UI across APM offerings and deployments, featuring a modern application dashboard approach 8 © 2014 IBM Corporation IBM’s direction for APM products Increased Breadth: Extending platform coverage to new application languages, such as Ruby, Python, PHP, mySQL, Mongo DB and Node.js, as well as new deployment models While J2EE and .Net have dominated the application landscape for years, supported by traditional RDBMS platforms and commercial web/application servers, “modern” workloads and today’s developers are increasingly moving to new programming languages and application infrastructures. New in 2013 Coming in 2014 Application Languages • Lightweight deep dive diagnostics for J2EE Databases • PHP • PostgreSQL • Enhanced diagnostic platform coverage for JBoss, • Node.js WebLogic, NetWeaver, Tomcat and more • Cassandra • Python • New APM platform coverage, including Ruby, MySQL and • MemCached • .NET MongoDB • Hbase • Plug-in capability to extend user experience monitoring to Application Platforms • CouchDB proprietary applications • Azure • Just in time monitoring of self-provisioned, mission critical • EngineYard application workloads • Heroku • Intuitive user experience monitoring at the heart of APM • RightScale 9 • RackSpace © 2014 IBM Corporation IBM’s direction for APM products Flexible Delivery Options: Streamlining APM delivery by creating SaaS, test/dev, public Cloud, and virtual appliance deployment options. Enterprise customers can seamlessly transition between deployment options with consistent technology and user interface Decentralization of applications has lead to lots of new application stakeholders in the market for an APM solution that’s tailored to their needs and budget. But even enterprises that are undergoing “modernization” aren’t ready to change everything all at once… • Traditional on-premises installation • Continue with traditional APM while gradually • APM Software as a Service for use adopting new technologies, without creating anywhere vendor sprawl • Lightweight on-premises solution for private • Mix and match on-premises deployments or or public clouds SaaS, from dev to production, and anywhere in between • Turn-Key “Virtual Appliance” version for rapid deployments • Migrate to SaaS without having learn a new tool or interface 10 © 2014 IBM Corporation Why our APM customers are considering SaaS… Many customers have a expressed their intention to convert to SaaS • Modern DevOps require practical APM tools for pre-production and production support • Customers with APM in production recognize the ROI value in finding bugs pre-production • Your business is changing as new Services are being provisioned faster SaaS tools require less IT skills and are • Embedded, autonomic monitoring of rapidly Lowered easier to use, creating demonstrable or automatically provisioned services is TCO ROI through reduced TCO. essential • • Capital budgets are shrinking Capital Costs reduced • Operation Expenses Reduced (no monitoring Provisioning new services quicker infrastructure to maintain) increases the opportunity to Rapid Deployment of new monetize your customers Services Enabled • S Stand-up implementation aa Add sophisticated root • Easy migration / upgrade S cause analysis tools to new Faster Root Cause & roll back workloads in minutes g to Determination hin • rc Web based UI –available on ma multiple devices is • Intuitive navigation o • Rapid root cause with few clicks li rtfo Small budget, po small team? SaaS M is the answer! AP Do more with Less s M’ • Operation & Capital IB 11 Expense Challenges © 2014 IBM Corporation APM SaaS Capabilities The power of a Big APM solution, with the nimbleness of a niche vendor – the best of both worlds. Choice of on-premises or Resiliency makes for a Ability to seamlessly SaaS (or a combination more stable, reliable combine resource of the two) provides solution than hand- monitoring with user more flexibility than crafted, open source experience monitoring SaaS-only vendors deployments 12 © 2014 IBM Corporation Strategic Initiative: IBM Service Engage Learn Explore Support Try 1 Engage clients with live demos, available 24x7 2 Start a POC with clients in minutes, Extend Buy anywhere, anytime 3 Extend a client’s on-prem environment Delivery Excellence --- with Software as a Service Modern User Experience --- IBM is the only vendor providing on-prem, On-prem and SaaS as-a-Service, and an integrated experience 13 © 2014 IBM Corporation APM SaaS makes DevOps practical Why enterprise customers are considering expanding APM usage throughout their application lifecycle •Desire for monitoring during the app dev cycle: this is now practical with easy-to-implement APM service for pre-production •Customers with APM in production recognize the ROI value in finding bugs pre-production Enterprise capability for continuous software delivery that enables clients to seize market opportunities and reduce time to customer feedback DevOps Lifecycle Business Operations/ Customers Owners Development/Test Production Continuous Feedback and Improvements Reduce time to obtain and Balance speed, cost, respond to customer feedback Accelerate software delivery quality
Recommended publications
  • IBM IT Service Management: Serve Your Clients, Not Your IT 2

    IBM IT Service Management: Serve Your Clients, Not Your IT 2

    IBM IT Service Management January 2016 IBM IT Service Management: Serve your clients, not your IT 2 Contents 3 What’s keeping you up at night? Optimize decisions with insights 4 Embrace agility to accelerate transformation Succeed and manage in a hybrid environment 5 IBM IT Service Management: Tool for your hybrid envrionment Operations Performance Automation Workload Automation Service Desk Analytics 9 Why choose IBM for your middleware solution? Solid Foundation of Trusted Technology 10 What IT Service Management solutions are right for you? What can you do next? IBM IT Service Management 3 What’s Keeping you up at night? Optimize decisions with insights Are you having trouble falling asleep or staying asleep—can Let’s investigate further why solutions that help you optimize you sleep at all? We know what’s keeping today’s CIO up decisions with insights are so critical to your company’s at night. success. Businesses all over the world run on applications and data. Ensuring the smooth running of business applications and the Your business does as well. The success of your business health of your infrastructure and network is vital, but without relies on your IT infrastructure and network because they the right tools, it is also difficult. The impact of outages can support and carry the applications that represent the lifeblood be costly, and their repercussions can have a direct impact on of your company. How to keep things up and running, revenue and profits, brand equity, and, most importantly, your connected, responsive, and relevant could be keeping you customers. up at night.
  • Application Performance Management for Dummies®, Riverbed Special Edition Published by John Wiley & Sons, Inc

    Application Performance Management for Dummies®, Riverbed Special Edition Published by John Wiley & Sons, Inc

    These materials are the copyright of John Wiley & Sons, Inc. and any dissemination, distribution, or unauthorized use is strictly prohibited. These materials are the copyright of John Wiley & Sons, Inc. and any dissemination, distribution, or unauthorized use is strictly prohibited. Application Performance Management Riverbed Special Edition by Lawrence C. Miller, CISSP These materials are the copyright of John Wiley & Sons, Inc. and any dissemination, distribution, or unauthorized use is strictly prohibited. Application Performance Management For Dummies®, Riverbed Special Edition Published by John Wiley & Sons, Inc. 111 River St. Hoboken, NJ 07030-5774 www.wiley.com Copyright © 2013 by John Wiley & Sons, Inc., Hoboken, New Jersey No part of this publication may be reproduced, stored in a retrieval system or trans- mitted in any form or by any means, electronic, mechanical, photocopying, record- ing, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748- 6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions. Trademarks: Wiley, the Wiley logo, For Dummies, the Dummies Man logo, A Reference for the Rest of Us!, The Dummies Way, Dummies.com, Making Everything Easier, and related trade dress are trademarks or registered trademarks of John Wiley & Sons, Inc. and/or its affiliates in the United States and other countries, and may not be used without written permission. Riverbed, OPNET, Steelhead, Cascade, Wireshark, FlyScript, Stingray, and the Riverbed logo are trademarks or registered trademarks of Riverbed Technology Inc.
  • The State of Analytics in IT Operations

    The State of Analytics in IT Operations

    White Paper IT Operations Management The State of Analytics in IT Operations IT operations analytics Introduction holds considerable promise for making day-to-day If you lived through the AI (artificial intelligence) hype of the 1990s or earlier, you might be skeptical about IT Ops work easier. seeing the term in such frequent use these days. AI can mean many different things, andalways has. It has also changed names a few times, from IT Operations Analytics (ITOA) to Algorithmic IT Ops, AIOps, and Cognitive Operations. But over the past two years, with influential analyst firms like Gartner and Forrester getting on board with the term, AI is getting more respect, and it’s getting more practical. According to a recent Forrester survey, ITOA is the number one application of AI technology that busi- nesses are considering. Also high on Forrester’s list are business insight and security, all of which are related to ITOA at a fundamental level. IT Ops Analytics all starts with data collection or monitoring data. Analytics is dependent on data and lots of it, often called Big Data. Data is the food that fuels analytics, without it analytics has nothing to look at to find patterns or anomalies that provide us insight. IT Operations Analytics holds considerable promise for making day-to-day IT Ops work easier. But what does this mean for IT Ops specialists who aren’t trained in analytics? Do they now need to take classes in data science and machine learning, and learn to write the algorithms that lie at the heart of analytics capabilities? No.
  • The Opsramp State of Aiops Report

    The Opsramp State of Aiops Report

    The OpsRamp State of AIOps Report Report The OpsRamp State of AIOps Report The Signal in the Noise: The Truth on How AIOps is Truly Impacting Business Performance Page: 1 The OpsRamp State of AIOps Report Executive Summary It’s Time to Understand How AIOps Is Actually Being Used While classic event correlation and modern IT operations analytics tools have been around for some time, the AIOps market is fairly new, with Gartner coining the phrase back in 2016. Today, AIOps expectations are reaching peak levels of inflated expectations (see Google Trends to get a glimpse of its growth). Figure 1 - Google Trends Report for AIOps (April 2016 - April 2019) Page: 2 The OpsRamp State of AIOps Report To help you understand the true impact of AIOps, OpsRamp has assembled ‘The State of AIOps’ report which is probably one of the few surveys that is based on data from IT Methodology practitioners who are currently using machine learning-powered event analysis. We conducted the survey through a third The purpose of commissioning The State of AIOps report was three-fold: party with a total of 200 respondents. All • Understand which technology capabilities and use cases were most important for respondents worked at the IT manager AIOps tool acquisition level or above, across IT operations, • Quantify the operational benefits of AIOps for incident management DevOps or Site Reliability • Track leading concerns that might stall AIOps adoption in the future Engineering teams. Read the report to learn, from the trenches, what truly matters while selecting an AIOps Enterprises surveyed had more than solution for a modern enterprise.
  • 3 Steps to a Comprehensive View of IT Operations How to Improve Visibility in Mature Virtual Environments and the Cloud

    3 Steps to a Comprehensive View of IT Operations How to Improve Visibility in Mature Virtual Environments and the Cloud

    WHITE PAPER 3 Steps to a Comprehensive View of IT Operations How to improve visibility in mature virtual environments and the cloud The Challenge You Can’t See As companies grow their virtual infrastructures and transition into cloud computing, one of the greatest challenges they face is the lack of visibility into their IT environment. Getting a unified view of system capacity, performance, and underlying hardware information is often a manual exercise. The number of different tools required to maintain and manage multiple clouds and a mix of proprietary and open-source databases and hardware extends this challenge. In fact, a recent Forrester Consulting research report shows that tools creep and lack of visibility are big problem areas for companies. Additionally, the research showed that only 24 percent of companies could provision infrastructure in a matter of hours instead of days or weeks.1 Challenges Evolve as Companies Virtualize More Infrastructure “What are the top challenges you face managing your virtualized infrastructure?” (Ranked as top three) Low virtualization High virtualization (N=63) (N=63) T1. Lack of visibility across 1. Too many different tools 48% infrastructure domains T1. Ensuring adequate capacity 2. Lack of visibility across 46% exists for workloads infrastructure domains 3. Inability to scale infrastructure 40% 3. Lack of expertise/skills 40% as needed 4. Lack of expertise/skills 37% 4. Infrastructure too complex 38% T5. Lack of collaboration across 5. Infrastructure too complex 33% teams T5. Ensuring adequate capacity T6. Too many different tools 32% 33% exists for workloads T6. Lack of collaboration across 32% 7. Disconnect from business need 27% teams 8.
  • Vrealize Operations Overview

    Vrealize Operations Overview

    Avoiding the Hardware Emergency Room VMware vSphere with Operations Management and HPE OneView Malcolm Ferguson Hewlett Packard Enterprise (HPE) Data Center Architect Cheryl Thrailkill VMware Nov 4, 2015 © 2014 VMware Inc. All rights Software-Defined Data Center Specialist reserved. Agenda • Today’s IT mission critical operations environment • Monitor systems for signs of pre-failure vs just failure • Analytics approach to monitoring and immediate resolution • Gain a full perspective of the status of your systems • Monitor the health of your hardware and virtual environment together • No-cost ways to evaluate CONFIDENTIAL 2 Operations Management Goals Goal Status Quo • Are you able to meet or exceed service level expectations? Quality of • Can you remediate issues before end users are impacted? Service • How many monitoring tools are you using? Operational • What is your average Mean Time to Incident & Resolution? • Do you manage your infrastructure capacity? Efficiency • How do you plan for future needs? Control • Is your IT infrastructure compliant to regulatory standards? and • Can you proactively enforce IT standards in your organization? Compliance 3 Today’s Reality in Operations Management Monitoring Data Overload Alert Storms DBA VI Storage Over-provisioning Finger Pointing 4 Volume of Monitoring Data is Exploding “Operations Gap” Alert Volume Distributed & Mobile Apps (incl. Public cloud, SaaS, Mash-ups, …) Metrics & Data Virtualized Infrastructure Volume (incl. Storage and Network Virtualization) Traditional Stack (Server, Storage,
  • Redefining Workplace Paradigms Through Autonomous Ops

    Redefining Workplace Paradigms Through Autonomous Ops

    REDEFINING WORKPLACE PARADIGMS THROUGH AUTONOMOUS OPS Mohammed Hashim Head - Technology Innovation Council Digital Infrastructure Brillio [email protected] Knowledge Sharing Article © 2018 Dell Inc. or its subsidiaries. Table of Contents 1. Overview ......................................................................................................................................... 3 2. Where is the Industry Headed? ...................................................................................................... 5 3. Demystifying Autonomous Ops ...................................................................................................... 6 4. Changing Workplace Paradigms ..................................................................................................... 8 5. AO Adoption Approach ................................................................................................................. 11 6. Market Drivers and Restraints ...................................................................................................... 13 7. Study of AO in Hybrid Data Center & Multi-Cloud Management ................................................. 15 8. Future of Autonomous Ops .......................................................................................................... 18 9. Conclusion .................................................................................................................................... 19 Appendix A: Research References .......................................................................................................
  • Syncsort Powerpoint Template

    Syncsort Powerpoint Template

    Big Iron to Big Data: Do more with the data you’ve got Kevin Markwick Regional Sales Director Leading the next technology [r]evolution: Big Iron to Big Data Big Iron to Big Data: a fast-growing market segment composed of solutions that optimize traditional data systems and deliver mission-critical data from these systems to next-generation analytic environments. Syncsort Confidential and Proprietary - do not copy or distribute 2 Trusted Industry Leadership >6,000 84 Customers of Fortune 100 are Customers The global leader in Big Iron to Big Data 500+ 1968 3x Experienced & Talented 50 Years of Market Leadership Revenue Growth Data Professionals & Award-Winning Customer Support In Last 12 Months Syncsort Confidential and Proprietary - do not copy or distribute 3 Macro Trends Require Big Iron to Big Data Strategies Big Iron to Big Data Digital business is driving Innovation is enabling significant growth in workloads analysis of larger, more managed by legacy data systems diverse data ▪ IBM i and Mainframes run the core ▪ Enterprises making major investments transactional applications of most in new Big Data repositories for enterprises greater insights ▪ Growing touchpoints on mobile & ▪ Mobile & online data sources must be online increasing transaction volumes analyzed quickly & efficiently and workload unpredictability ▪ Next-gen analytic environments must ▪ Critical focus on data infrastructure contain valuable app & machine data optimization & availability initiatives to from legacy systems that is liberated, meet demand and manage costs
  • Harnessing the Value of Big Data with Advanced Analytics

    Harnessing the Value of Big Data with Advanced Analytics

    ANALYST CONNECTION Tim Grieser Program Vice President, Enterprise System Management Software Harnessing the Value of Big Data w ith Advanced Analytics March 2017 In today's digitally connected economy, data is created constantly within an end-to-end value chain. We have experienced a dramatic increase in connectivity across the value chain, which shows no signs of slowing down and, in fact, is accelerating at a rapid pace. As the volume of data created continues to increase, it's imperative that enterprises seek to identify opportunities to leverage advanced analytics to drive value for their business. The following questions were posed to Tim Grieser, program vice president of IDC's Enterprise System Management Software research, by CA Technologies on behalf of CA's customers. Q. From an IT and DevOps perspective, how effective is the traditional business intelligence (BI) approach in the new world of big data? A. Traditional approaches to gaining knowledge from business intelligence typically involve a variety of analytical skills and software tools needed to extract meaningful information and insights from business data. Traditional BI is based on operational business data, which can range from data stored in spreadsheets to data in a structured data warehouse. Traditional BI approaches are enabled by "data scientists" often requiring knowledge of statistics, data analysis techniques, and related analytic methods and processes — using tools to search, visualize, and analyze data to discover patterns and gain intelligence. Today, the enormous volume, variety, and velocity of IT and DevOps data — especially machine-generated data — make it extremely difficult to follow this type of process for IT operations analytics (ITOA).
  • IT Operations Analytics Market by Component

    IT Operations Analytics Market by Component

    +44 20 8123 2220 [email protected] IT Operations Analytics Market by Component (Solutions and Services), Solution (Log Management, Network and Security Management, Anomaly Detection), Service, Deployment Mode, Organization Size, End User, and Region - Global Forecast to 2025 https://marketpublishers.com/r/I92E170064BEN.html Date: September 2020 Pages: 323 Price: US$ 4,950.00 (Single User License) ID: I92E170064BEN Abstracts The global ITOA market size is projected to grow from USD 9.3billion in 2020 to USD 45.1 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 37.2% during the forecast period. The increasing focus on adoption of cloud-based ITOA solutions and proliferation of huge amounts of IT operations data are expected to drive the market growth. However, increasing complexities and dynamic nature of the IT architecture is one of the factors hindering the market growth. The objective of the report is to define, describe, and forecast the ITOA market size based on component, solutions, services, deployment mode, organization size, end user, and region. In a short time, the COVID-19 outbreak has affected markets and customers' behavior and is making a substantial impact on economies and societies. With offices, educational institutions, and manufacturing facilities shutting down for an indefinite period; major sports and events being postponed; and work-from-home and social distancing policies in effect, businesses are increasingly looking for technologies to help them sail through these difficult times. The COVID-19 pandemic is impacting businesses across the globe. Analytics companies are trying to fight this pandemic by keeping their assets online and ensuring the privacy and security of data across networks.
  • ARTIFICIAL INTELLIGENCE for IT OPERATIONS a Study on High-Performance Compute Technical White Paper

    ARTIFICIAL INTELLIGENCE for IT OPERATIONS a Study on High-Performance Compute Technical White Paper

    Technical white paper Check if the document is available in the language of your choice. ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS A study on high-performance compute Technical white paper CONTENTS Introduction ........................................................................................................................................................................................................................................................................................................................................3 AIOps at a glance .......................................................................................................................................................................................................................................................................................................................... 3 Case study: AIOps for HPC systems ............................................................................................................................................................................................................................................................................ 4 AIOps models .............................................................................................................................................................................................................................................................................................................................4 Kraken Mare Data Platform ..........................................................................................................................................................................................................................................................................................
  • NEXT GENERATION MANAGED SERVICES Scale, Capacity, Speed and Innovation Are Your Priorities

    NEXT GENERATION MANAGED SERVICES Scale, Capacity, Speed and Innovation Are Your Priorities

    CC 24x7 NEXT GENERATION MANAGED SERVICES Scale, Capacity, Speed and Innovation are your priorities. We can take charge of your evolving and increasing hybrid IT Operations, helping you to automate and run your business. IT operations run your business! Whilst your business evolves, scales and accelerates, your IT infrastructure and architecture grow in complexity (products, Cloud, Microservices) and IT operations have to move to the next level. Next Generation Managed Services automate for scaling, manage the Innovation, simplify complexity, serve the business and enable the developers to succeed. TODAY: AVAILABLE. TOMORROW: AVAILABLE. NEXT GENERATION MANAGED SERVICES 24x7 CONTINUOUS AND PROACTIVE IMPROVEMENT To manage the complexity of hybrid infrastructure and accelerate the The continuous management of IT environment enables us to gradually innovation you need to automate and increase the IT operations agility and steadily amend infrastructures, services and processes. Thanks to and scalability. Our DevOps and SRE teams implement Continuous this method we can anticipate issues capable of downgrading service Pro-Active Monitoring tools to improve performance and operational quality in the interests of infrastructure efficiency, security and efficiency and flexibility and to monitor and test Private and Public reliability improvement, as well as cost reduction. We specialize in IT Cloud environment. Operations Analytics for predictive maintenance. OPEN SOURCE SUPPORT MANAGED SERVICES 24x7 MULTILINGUAL 24x7 support (advisory and break-fix) of production-grade OSS Tailored made Service | Monitoring | SPOC | Incident, Problem and deployment, based on Sorint reference architecture and best practices. Change Management | IT Operations Analytics | Qualified support for Advisory support for integrated technologies (logging, monitoring, etc.), Vendors | IT staff augmentation services provider | Dedicated hot fixes and custom builds (when necessary), with best effort to merge Management Team upstream.