AppDynamics is open for business to enterprise companies and government agencies in Brazil, bringing them the advantages of its next-generation solution for application performance management and the broader IT operations management market.
The company currently has staff and a network of highly specialized partners in Sao Paulo , Rio de Janeiro, Brasilia, Curitiba and Belo Horizonte to support its business initiatives in Brazil, and plans an official sales office in the near future.
“Increasingly, businesses and governments are becoming software-defined, and superior software performance in itself is now a key competitive advantage,” said Jyoti Bansal, Founder and CEO of AppDynamics. “The proliferation of e-commerce companies in Brazil is indicative of the digital transformation that’s underway. Now more than ever, applications require an intelligence platform that can dynamically discover stress points even before they develop. We are excited to help Brazilian businesses and government agencies to continuously manage the performance of their web and mobile applications, and to harvest the valuable, actionable data those applications contain to help maximize both application and business performance.”
International companies based in Latin America such as Localiza and Falabella have already selected the AppDynamics’ Application Intelligence Platform.
“The key focus for my team will be customer success. With legacy systems and long implementation cycles, it’s increasingly difficult for customers to achieve tangible ROI’s,” said Jonah Kowall, VP of Marketing Development and Insights at AppDynamics.
“In Brazil, we already have a network of relevant partners and important customers, and we are committed to help companies in the world’s seventh largest economy optimize end user customer experience, enhance IT operations, and achieve and exceed their business goals”, added Kowall.
AppDynamics provides real-time access to application performance at the code level and across the application infrastructure, allowing businesses to see the impact of performance issues in real-time. This enables customers to anticipate problems and resolve them quickly, reducing the cost of performance incidents to the business and helping to maintain a positive customer experience. With powerful, intuitive dashboards and robust collaboration functionality, the Application Intelligence Platform enables business, development, and operations teams to tie performance of their applications directly to overall performance of the business.
The AppDynamics Application Intelligence Platform is a comprehensive solution enabling companies and government entities to maximize business and application performance. The platform is designed and architected to help give business and government users the confidence that their applications are running at their best, to give IT personnel the operational visibility and control they need, and to give end users the great experiences they’ve come to expect and demand.
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.