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it oct 10 2026 6 min read open source two years of valkey the road to 10 0 noah bovenizer oct 9 2026 5 min read runtime runtime open source isn t europe s sovereign computing answer yet tom krazit oct 8 2026 6 min read news monstercloud boss charged over ransomware decryption fraud edward targett oct 8 2026 2 min read quantum darpa moves four systems to last stage of its quantum benchmark noah bovenizer oct 8 2026 2 min read linux foundation europe needs to step up on open source funding linux europe gm noah bovenizer oct 7 2026 2 min read video for amsterdam based exchange bitvavo the speed at which its customers can trade is everything every network latency that we cut or every request that we serve faster means a lot of revenue a lot of opportunities also for our users bitvavo engineering leader ibrahim el moufti told the stack we deal with a lot with high frequency trading and market makers and low latency systems and our systems need to serve those requests as soon as possible he said and while increasing speed by milliseconds and sometimes nanoseconds can make a difference for its customers like many other companies bitvavo wants to focus on managing its core business rather than infrastructure the company s requirements are a system with zero downtime and the ability to accommodate bursty spikes in traffic imagine you have a busy day in crypto moufti said perhaps due to a typical elon musk tweet suddenly we have a high spike in traffic that was unprecedented and we want to deal with those events really fast a private datacenter that requires a phone call to provision more capacity would simply not cut it so from its earliest days bitvavo has been cloud native and that decision has proven wise in a highly cyclical market for a company that wants to iterate fast when there is a surge in interest moufti said its system centred on kubernetes through amazon eks scales automatically and cleanly with low operational overhead cloud native for a smooth dora process bitvavo particularly appreciates aurora s separation of compute and storage which aws says improves availability failover capabilities and operational efficiency compared with self managed database deployments for bitvavo those characteristics have become increasingly important as regulatory requirements have tightened the company recently completed work associated with europe s digital operational resilience act dora which requires financial institutions and critical service providers to demonstrate operational resilience and disaster recovery capabilities moufti said aurora s cross region failover capabilities significantly reduced the engineering effort required to test and demonstrate resilience tasks that once demanded detailed playbooks dedicated war rooms and extensive operational preparation are now more routine allowing teams to focus on customer facing development rather than infrastructure management according to the bitvavo engineering leader aurora beat out other aws services with its low operational overhead we used rds for example we tried managing our own databases on ec2s i think the reason aurora really sticks out for us is its low operational effort we don t want to deal with the complexity of managing databases on the cloud cloud and ai native the cloud first strategy also shapes bitvavo s approach to artificial intelligence like many technology companies the exchange is attempting to move beyond ai assisted workflows towards what moufti described as becoming ai native the goal is to mature past giving employees access to generative ai tools to integrating ai throughout engineering product legal and operational processes one example is incident management bitvavo is experimenting with ai agents that can analyse logs metrics and alerts during production incidents helping engineers identify likely causes more quickly rather than rearchitecting systems around ai moufti said the larger challenge has been improving documentation and knowledge management so that agents can understand internal systems and processes in practice that has meant changing how product specifications architectural decisions and operational knowledge are recorded aws is also becoming part of that ai strategy bitvavo recently began using amazon bedrock and aws s emerging agent tooling attracted in part by the ability to route tasks to different models while maintaining governance controls for a regulated financial platform moufti said identity management and access controls remain as important as model performance this interview was delivered in partnership with aws why bitvavo chose a cloud native database for nanosecond latency wins bank of america chief information and technology officer ctio hari gopalkrishnan has played a key role in the bank s ai rollout since it first announced its erica chatbot back in 2016 but speaking to the stack he strikes a cautious tone when discussing the returns on ai investment people are going a little crazy about like we can use agents and agents will call agents and they will use tokens he says during a conversation at the bank s london office before you know it something that was a 100 000 process you spend 1 million trying to optimize it that s not to say america s second largest bank which manages some 4 9 trillion in client funds isn t investing heavily in ai after chatting with the stack the ctio team sent over ai statistics outlining its 300 use cases in development 34 of which are fully deployed and 1 722 ai focused patents registered in its name but gopalkrishnan says it s easy to fall into a trap with ai explaining with old technologies you spent so much time writing code you had plenty of time to figure out how much it was going to cost you because ai is so fast to deploy it s very easy to get seduced into thinking let s just go full steam ahead and figure out the cost later that doesn t work well he adds this post is for subscribers only subscribe now already have an account sign in the big interview bank of america ctio hari gopalkrishnan the stack is resurfacing some of our favourite big interviews from 2025 as we close off the year this piece first appeared on august 26 bny cio leigh ann russell s first job after school was in a bank she hated it i had to stamp cheques every day thousands of them i d get to 1 500 stamps and then i d forget the number and i have to start it all again it just wasn t my dream of how i would spend my life she tells the stack russell grew up in a council estate in scotland her dad worked a manual role during the week and at a fish and chip shop at the weekends to them an apprenticeship in a bank sounded like white collar stability so when she decided to go to university the first in her family to do so to study engineering they were worried and taken aback she recalls i think my mom said but universities are for hippies and rich people she remembers with a wry laugh but intent on blazing her own trail she set off to aberdeen university for a degree in engineering that changed everything she s now back in a bank as cio and this time she s loving it leigh ann russell is now chief information officer of bny a bank that oversees 51 trillion in assets for clients and which in recent years has embarked on a major technology and organisational transformation bny was created by founding father alexander hamilton in 1784 and became the first firm listed on the new york stock exchange legacy just a bit then whilst much of it is proud legacy the bank like every well established financial services firm had no shortage of ageing infrastructure and applications to clean up mercifully a major overhaul had already born fruit when russell joined in 2024 she cheerfully admits we had a greenfield project which was really about massively upgrading our infrastructure and our app environment a lot of that core work had been completed we re 35 more energy efficient in our data centers we re 40 more space efficient in our data centers she explains sony turns to k8s reveals playstation outage cause the cloud on prem split is roughly a third of our apps sit in the cloud environment but almost our entire landscape is cloud ready so that we can move from on prem to cloud at will as we choose what s right for the right application she adds in response to a question from the stack a few recently closed roles in bny s technology services group arguably give a flavour of the shift one vp role captures a whole industry zeitgeist seeking expertise creating configuring upgrading and administering kubernetes clusters on vms baremetal openshift experience is a plus must have experience in argocd or flux helm kustomize prometheus based monitoring ansible terraform and ci cd automation every organisation s digital transformation ted talk in a single job description bny s early ledgers document the finances of founder alexander hamilton this modernisation effort has taken place under the leadership of goldman sachs veteran robin vince who took over as ceo in september 2022 prior to the ceo role he ran the bank s clearance and collateral management treasury services markets and execution services bny has been notably building out its bench under his leadership it also recently added blackrock s carolyn weinberg as chief product and innovation officer like russell she sits on the executive committee many people across our organization are focused on innovating new capabilities instant payments digital assets wealth tech private markets collateral liquidity all examples of domains where we are innovating ceo vince emphasised on bny s q1 earnings call in april weinberg will focus on innovative new commercial opportunities and find new ways to leverage our platforms and data for client solutions he said on the call hacker used deepseek to create langflow exploit on the organisational front vince warned that bny was intent on making sure that it does not repeat the problems we ve had in the past of having everyone go off in their own direction resulting in siloed capabilities and platform engineers wrestling with an untidy plethora of systems he s instated a platform model with group wide functions like payments data treasury etc for more horizontal innovation and simplified stacks a quarter of employees had transitioned into the model by end 2024 bny expects that figure to hit 80 by the end of calendar 2025 earnings show a snapshot of some of what bny does ai for everyone bny is keen to innovate hard with ai across those platforms making use of its extensive datasets and that s one of russell s priorities she says the idea was to aggressively democratise ai access and see what started bearing fruit when everyone got ai seeds to sow before that happened the bank rolled out a group wide ai training programme some of the very first to take it were lawyers our legal function is at 100 training completion they have gone out of the way to make themselves innovative so when they work with us on how do we keep our data safe how do we ensure privacy every single one of our lawyers understands what we re trying to do and they re not blockers she explains they keep us completely within our guardrails same with risk same with our cyber teams but because they ve all been part of the immersion they ve become real advocates and champions for ai our mantra was ai for everyone everywhere russell tells the stack why because the best ideas don t all come from the engineering department they come from the folks in the business who think now i understand what ai is this is how i can apply it to make things better at the bank in production there s an endless tidal wave of ai noise in the market and so much froth versus what is arguably just the lightest mist when it comes to roi still but russell engineer s hat firmly on is a genuine convert taking the conversation offline too after the interview and pushes back on this characterisation we have more than 40 ai solutions in full production they touch almost everything at the bank she says on production deployments citing anomaly detection on our asset servicing platforms trade settlements on our client services team we have a multi agentic solution these are delivering real value in dollar terms and productivity terms i would say that scale of deployment is pretty unique pushed on the tracking of roi she s quick to respond and her view is arguably counterintuitive i think many organizations that i talk to get really stuck on oh i can t put this into production till i narrow what the exact dollar value is or that exact productivity value has been not trying to track and micro manage each deployment now the training is done and group wide guardrails are set has truly been part of our success russell says also highlighting the bank s eliza chatbot and new partnership with openai it also uses other models although the bank also cites how its digital transformation has helped drive down unit costs for example helping deliver 5 lower cost per custody trade 15 lower cost per net asset value in traditional fund services versus last year on genai we have 85 of the bank fully trained and 8 000 of those people bear in mind we re a 50 000 person bank are building their own agents flags russell that s the result of massive team sport between legal our risk function our cyber teams our ai hub we have set up model governance that i also think represents real innovation from cpo to cio where as a chief information officer does she sit in bny particularly vis a vis this new platform model we ask russell who reports to the ceo briefly sketches out the platform approach again and explains that engineering sits as a matrix on that i have an entire engineering organization who matrix into me but also report directly into the platforms adding i think that s a wonderful model if you do it correctly how do you get the engineers to rally around a problem in the platforms world but still report back into the engineering function for their careers for their developer productivity experience for the standards by which we operate engineering i think that s a real sweet spot organize around a problem but make sure you don t lose control of your standards and career paths by having an overlay of the engineering function that s an approach she was an advocate for at her previous employer bp she says where she ran 30 billion in annual supplier spend as chief procurement officer before taking on the cto role an unusual shift what did she take from that procurement role on the technology side we ask i took a lot from that role one thing about a procurement organization is it s come deeply commercial deeply technical and deeply about partnering organisations russell recalls i also honed quite a lot of my technology skills in procurement because it s really critical to have frictionless supply chains so that could be right at the front end of using digital auctions to process automation there was a whole bunch of technology that goes with ...