Webinar: Unlocking efficiency – cloud-native observability for financial services
Register now!
Date: Wednesday, July 19, 2023
Time: 4:00 PM British Summer Time
In an increasingly challenging economic environment, financial services companies – from global organisations to budding fintech start-ups – are all investing in cloud native technologies to ship new features faster, optimise costs and deliver an optimal application experience. Downtime events can cost millions, putting more pressure than ever on engineering teams.
Most companies can calculate the cost of a service outage, but the cost of an unreliable observability platform can be much more difficult to scope. Legacy monitoring systems, which were built for observing monolithic applications deployed on virtual machines, struggle with containers and microservices-based environments.
Poor reliability of an observability platform can end up costing companies in several ways. Business can grind to a halt, engineers get burned out, troubleshooting takes too long, and customers switch to competitors after a bad experience.
And in times such as these, companies often choose to manage risk – often at the expense of investing in the right technology. But it doesn’t have to be that way.
By investing in tools such as cloud native observability, financial services companies can not only achieve significant cost savings, but also increase engineer productivity and improve overall reliability.
In this webinar, brought to you by FinTech Futures and Chronosphere, our panel of experts will delve into how cloud native observability can be the right choice for your firm, its advantages over legacy monitoring systems, and what buyers should take into consideration when opting for cloud native observability.
Learn from real-world examples and gain practical insights from industry experts who have successfully harnessed the power of cloud native observability to overcome their challenges.
Register now for this free webinar!
Speakers of the “Unlocking efficiency: cloud native observability for financial services” webinar:
Ian Smith
Field CTO, Chronosphere
Ian Smith is Field CTO at Chronosphere, where he works to deliver better insights and outcomes to observability teams supporting high scale cloud native environments.
Previously, he worked with industry-leading engineering organisations implementing observability and incident response tooling in pre-sales roles at New Relic, Wavefront, PagerDuty and Lightstep.
Tom Bentley
Head of Growth, Natwest Group
Tom is an expert in the Banking and Financial services Technology sector with more than 15 years of experience. Tom joined Natwest from Vodeno, a Warbug-Pincus backed venture, where he was the Chief Commercial Officer across the UK & Europe. Previous to this Tom was part of Thought Machine where he was responsible for growing its business across Europe and has held executive roles at banking software company, Temenos, across Asia and Australia, working with some of the most disruptive fintechs in the world.
Michael Azoff
Chief Analyst, Omdia
Michael Azoff is Chief Analyst in the Cloud and Data Center Research Practice, Omdia, part of Informa Tech, where he runs the Cloud Native Computing Intelligence Service. Topics coverage range from cloud native (microservices, containers and their management, agile/DevOps) to software development lifecycle, observability, artificial intelligence, and more. He provides consulting to clients and supports Informa Tech events. Michael was with Informa companies including Ovum for 17 years until he left in 2020 as Distinguished Analyst to work for Kisaco Research, GigaOm and the UK Home Office, before returning to Omdia/Informa in March 2022.
After completing his PhD in the field of solid state electronics at University of Sheffield, Michael worked at Rutherford Appleton Laboratory and published academic papers. He went into R&D in industry, building neural networks when backpropagation was invented, had a startup for his Prognostica Microsoft Excel add-in for time series forecasting and published a book on Neural Network Time Series Forecasting (Wiley, 1994).
Shruti Khairnar
Reporter, FinTech Futures
Shruti Khairnar is a reporter at FinTech Futures, covering all aspects of financial services news and innovations in the space.
She has previously worked as a reporter for Sustainabonds, ESG Investor and the Hindustan Times, and has an MA in Magazine Journalism from City, University of London.
Brought to you by Chronosphere
