Le soluzioni tecnologiche per il disaster recovery e business continuity

Editor's Notes

• #3: Cost of Data Center Outages, January 2016 Data Center Performance Benchmark Series Based on your region, for this slide, call out specific business downtimes that have been impactful in the recent past. Americas: In August 2015, the Federal Aviation Administration (FAA) experienced an outage that caused over 450 cancellations up and down the east coast. but a software update caused the Federal Aviation Administration (FAA) systems to go down for about 3 hours. This downtime essentially shut down air travel along the US Eastern seaboard for this time period and more. The ripple effect of this though was much bigger. Aside from thousands of delays, over 450 flights cancelled, travelers were left in the dark about their situation, with many not making it to their destination for up to two days. In October 2015, a problem in one of PayPal’s data centers shut down the payment service for just about two hours. http://fortune.com/2015/10/30/paypal-outage-sales/ At first glance that does not make your jaw drop, but PayPal processes around 645 million dollars per day, more than 26 million dollars per hour. This outage equals over 50 million dollars of non-processed payments and the result is lost revenue for PayPal. Europe & Middle East: In March 2016, Storage hardware failure brought Salesforce down for some users in Europe in a lengthy outage. The outage made the popular cloud CRM software provider’s service inaccessible for customers in Europe whose applications were running on the EU2 instance. Users didn’t have full access to the instance for about 11 hours. European companies are losing an average of £54,750 per annum as a result of network outages, according to a new study into the effects of network downtime conducted on behalf of supplier Avaya. Asia Pacific: Typhoon Soudelar hit Japan, Taiwan and China in 2015, killing over 34 people and leaving millions without power. https://www.washingtonpost.com/news/capital-weather-gang/wp/2015/08/03/super-typhoon-soudelor-devastates-saipan-spins-toward-okinawa-taiwan-and-china/ In Feb 2015, Fujitsu's Perth data centre suffered a major power outage on Sunday following fierce thunderstorms, affecting customers including WA Health. The company's general manager of data centre service, Michael Gunton, told iTnews that the Malaga facility experienced two incidents during storms that swept across the metropolitan area. http://www.itnews.com.au/news/fujitsu-perth-data-centre-suffers-power-outage-399940#ixzz4BVyx2KT2
• #4: DevOps and the Cost of Downtime: Fortune 1000 Best Practice Metrics Quantified IDC Study conducted by Stephen Elliot and sponsored by AppDynamics, December 2014 To examine application downtime impact per year across the Fortune 1000, they conducted the following analysis:  1,000 companies multiplied by an average of 250 critical applications per company equals 250,000 total applications. 250,000 multiplied by an average of $500 to $1 million per hour of downtime cost equals $1.25 billion to 2.5 billion of unplanned application downtime costs per year. IT outages, planned or unplanned, can unleash a procession of costs and consequences that are direct and indirect, tangible and intangible, short term and long term, immediate and far reaching. These costs include tangible/direct costs such as lost transaction revenue, lost wages, lost inventory, remedial labour costs, marketing costs, bank fees and legal penalties from not delivering on service level agreements, and intangible/indirect costs including lost business opportunities, loss of employees and/or employee morale, decrease in stock value, loss of customer/partner goodwill, brand damage, driving business to competitors or even bad publicity/press. The cost that may be assignable to each hour of downtime varies widely depending upon the nature of your business, the size of your company, and the criticality of your IT systems to primary revenue generating processes. For instance, a global financial services firm may lose millions of dollars for every hour of downtime, whereas a small manufacturer that uses IT as an administrative tool would lose only a margin of productivity.
• #30: An airline operates over 5000 flights daily. Every day, there is a fight against time - Check-in have to complete, gates have to be closed, planes to take off, land and being maintained. Passengers have to get food and drinks, aircrews have to be scheduled.  Minutes or even seconds of system malfunctions induces problems for the whole airline, and will ultimately determine whatever or not they will make profit. Ensuring end-to-end system resiliency is critical to the whole business model Before Resiliency Platform: Stranded customers at airport Storage Admin talking points: - Only care about the storage and the volumes DB Admin: - Ambiguity around responsibility. Is it me or the storage admin? Volumes are replicated, but will it really work? VM Admin - I know how to manage my VMs. I hope those storage and network guys have their stuff sorted out. Anyway, that’s not my problem. Network Admin: - Some network changes are required if disaster strikes. Anyway, that hasn’t happen in the past, so we should be fine...I think..... Application Owner: - I get conflicting messages here. All these teams are not in sync. They can’t answer basic questions such as how long time it will take to restore the services on the secondary site. - What is my availability level? PAIN POINTS Fragmented teams with no holistic workload visibility Inefficient manual operations and handoffs Lack of confidence in application uptime How Veritas Helps Reduces operational maintenance overhead Reduces Opex spend on time and effort involved Removes downtime by manual errors
• #31: An airline operates over 5000 flights daily. Every day, there is a fight against time - Check-in have to complete, gates have to be closed, planes to take off, land and being maintained. Passengers have to get food and drinks, aircrews have to be scheduled.  Minutes or even seconds of system malfunctions induces problems for the whole airline, and will ultimately determine whatever or not they will make profit. Ensuring end-to-end system resiliency is critical to the whole business model Before Resiliency Platform: Stranded customers at airport Storage Admin talking points: - Only care about the storage and the volumes DB Admin: - Ambiguity around responsibility. Is it me or the storage admin? Volumes are replicated, but will it really work? VM Admin - I know how to manage my VMs. I hope those storage and network guys have their stuff sorted out. Anyway, that’s not my problem. Network Admin: - Some network changes are required if disaster strikes. Anyway, that hasn’t happen in the past, so we should be fine...I think..... Application Owner: - I get conflicting messages here. All these teams are not in sync. They can’t answer basic questions such as how long time it will take to restore the services on the secondary site. - What is my availability level? PAIN POINTS Fragmented teams with no holistic workload visibility Inefficient manual operations and handoffs Lack of confidence in application uptime How Veritas Helps Reduces operational maintenance overhead Reduces Opex spend on time and effort involved Removes downtime by manual errors
• #32: Here is a view of the products that make up each of these categories.