Cloud platform and product engineering (107)

With consistent global user growth reaching 15M+ active users, a leading software development tools company needed a reliable partner to quickly onboard and manage skilled support teams across multiple countries and time zones.​ 

A distinguished British luxury jeweler partnered with us to replace a decade-old SAP Hybris platform with a modern, composable architecture featuring 15 external integrations, all while existing ecommerce trade continued without interruption. The goal was to deliver a faster, more flexible omnichann...

Most enterprises are already betting big on AI… but very few have turned it into a reliable, industrial‑grade software factory. On the backend, most engineering leaders know they need AI SDLC, but few know how to measure whether they’re actually doing it well. Download the white paper to run a...

According to Gartner, by 2028, 33% of enterprise software applications will include agentic AI. But agentic AI won’t just be embedded in software; it will also help build it. AI agents are rapidly evolving from passive copilots to autonomous builders, prompting organizations to rethink how they dev...

Stay ahead by understanding the four key trends transforming enterprise cloud infrastructure and AI in 2025, from modernization to security and hybrid cloud solutions.

Many organizations have already embraced practices like Agile and DevOps to enhance collaboration and responsiveness in meeting customer needs. While these advancements mark significant milestones, the journey doesn't end here. Microservices offer another powerful way to accelerate business capabil...

The insurance industry is behind the digital modernization curve because of its reliance on outdated, inflexible, and cumbersome legacy systems. Although the sector manages trillions of dollars in assets and plays a vital role in global economic stability, insurance technology needs to keep pace wi...

From AI/ML workloads and multi-tenancy to test labs and edge computing, uncover 5 practical examples of Kubernetes-based platform engineering.

This is the second part of the two-part selection guideline for Infrastructure as Code (IaC) framework selection. The first part provides the recommended approach to IaC framework selection. The second part reviews the actual IaC frameworks and makes specific recommendations for relevant use cases....

Prior to August 2023, cloud resource configuration management automation was dominated by three frameworks: AWS CloudFormation for Amazon Web Services (AWS), Kubernetes API-based tools for Kubernetes, and HashiCorp Terraform. Terraform, in particular, held the position of the go-to solution for clo...

Discover how to unlock new revenue streams through embedded finance. Learn to leverage APIs, AI, and strategic partnerships to integrate financial services seamlessly, and equip yourself to transform everyday interactions into profitable opportunities.

Are you currently navigating the landscape of application hosting and management with Pivotal Cloud Foundry (PCF), now known as VMware Tanzu Application Service? Perhaps you're contemplating a pivotal (pun intended) decision: the transition to cloud hyperscaler Kubernetes engines like Amazon Elas...

In the pursuit of innovation, a notable 91% of enterprises have prioritized modernizing their legacy applications, as reported by VMware. This push for modernization has yielded significant results, with a May 2022 Forrester report revealing that 77% of enterprises have witnessed substantial reve...

Discover the transformative potential of Generative Artificial Intelligence (GenAI) in the software development industry. At Grid Dynamics, we've conducted an extensive study to quantitatively assess the performance enhancements provided by GenAI tools across various software development tasks and...

The diversity of modern data technologies leads to new challenges in establishing a consistent and accurate data view for data consumers. In light of this issue, a semantic data layer introduces a means of harmonizing a single point of view for business metrics, no matter how many different data...

In the past decade, the automotive industry has witnessed a revolution, prioritizing an enjoyable and seamless user experience. Whether it's EVs, internal combustion engines, or hybrids, performance and quality have become key value propositions of this automotive evolution. With embedded systems...

Of the three main cloud providers–Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure (Azure)–GCP can definitely be considered a pioneer in terms of solutions evolution. Many of the IT products we consider to be “industry standard” today, were created or based on Googl...

Industrial IoT (IIoT) has become mainstream in a broad range of industries, including manufacturing, supply chain, logistics, energy, smart cities, and agriculture. IoT solutions enable intelligent decision-making for use cases such as predictive maintenance, visual quality control, and anomaly det...

Developing and releasing new software into production quickly is key to maintaining a competitive advantage in the evolving digital landscape. This has led many companies to adopt DevOps practices to improve their speed and quality.  DevOps, which stands for development and operations, is a...

The commercial vehicle manufacturing industry has been held back by the limitations of enormous on-premises systems for far too long. And now, since the outset of the global pandemic, and the war in Ukraine, the sense of urgency to maintain availability, adapt to the changing supply chain landsca...

Cloud technologies are increasingly becoming the way to set IT infrastructure across various sectors. Today, many businesses opt for a cloud-first strategy for deploying their software, applications, and databases, rather than relying on traditional on-premises systems. In fact, over the past se...

With the current uncertain economic environment, many leaders are searching for ways to cut costs and redistribute their savings to growth areas. It puts them in a challenging position of simultaneously trying to cut back on spending while positioning their businesses for future growth. For many...

Building e-commerce analytics and product recommendations capabilities should start with data. And while data is abundant in the world of retail, it often comes from dispersed sources owned by either independent teams or external vendors. That was exactly the issue that one of our large retail c...

Modern cloud providers offer compelling opportunities to modernize IT infrastructure and gain operational efficiency through DevOps, containers, and cloud-native design practices. However, migration to the cloud can be quite challenging. Those who join the cloud movement soon realize that there...

With Industry 4.0 on our doorstep, the business landscape presents a completely new set of challenges and possibilities. To achieve the flexibility required to navigate this new environment, companies need to add extra storage, new applications, advanced networking technologies, better hardware, an...

Over the past decade, the complexity of manufacturing processes and assembly lines have significantly increased. Whereas in the past, businesses relied on linear assembly lines, today’s assembly lines can produce customized products, as seen in the automotive industry. However, introducing customiz...

The global market for the Internet of Things (IoT) is expected to reach $413.7 billion by 2031, according to a recent report published by Allied Market Research. The key industries driving this growth include manufacturing, supply chain and logistics, energy, and smart cities. The digital transform...

Originally published on the AWS Partner Network blog Conveyor belts are an essential material handling tool for various industrial processes, and one of the most effective ways to quickly and continuously transport large amounts of materials or products. However, high throughput rates make i...

Originally published on the AWS Partner Network blog Industrial machine, equipment, and vehicle operators are often faced with the challenge of minimizing maintenance costs under strict constraints related to safety, equipment downtime, and other SLAs. Over-sufficient or preventive maintenan...

These days, there is an ever-more pressing need for app development to be fast, dynamic, and scalable. That’s why Grid Dynamics teamed up with Apollo, the leader in open source and commercial GraphQL technologies. Apollo’s supergraph adds a revolutionary layer to your organization’s technology st...

Modern manufacturing, transportation, and energy companies routinely operate thousands of machines and perform hundreds of quality checks at different stages of their production and distribution processes. Industrial sensors and IoT devices enable these companies to collect comprehensive real-t...

As cloud adoption is becoming a rule rather than an exception, the question is no longer about whether to migrate to the cloud or not, but rather how to maximize the value of the cloud and cloud applications. Services are available from inception through development into production, engineering up...

A meal kit company that specializes in delivering healthy, organic, ready meal kits was about to start its journey to the cloud. The company was recently acquired by a leader in the food and beverage industry who intended to merge the business under one umbrella, with the same brand, customer man...

The manufacturing industry has been held back by the limitations of enormous on-premises systems for far too long. And now, since the outset of the global pandemic and the war in Ukraine, the sense of urgency to maintain availability, adapt to the changing supply chain landscape, and meet customer...

Migrating to the cloud is one thing, but maximizing cloud value related to your unique business goals as an insurer is a whole different ballgame. In this whitepaper we provide guidance and best practices on how to build a robust technology foundation that is tailored to your needs and fit for futu...

As a business in the digital age, developing, deploying and managing applications in the fastest, most secure and cost-effective way possible is critical to achieving and maintaining a competitive edge. In pursuit of achieving these milestones, we have seen the application development process shift...

Let’s face it; the current state of today’s digital technology revolution would not exist without the cloud. With this undeniable truth, the pressure on business leaders to embrace and optimize strategies for the cloud is mounting inexorably. And we see this with the growing rate of cloud adoption...

Modern enterprises operate with tremendous amounts of data, and data management has become an integral part of  business decision-making processes, KPI management and reporting. However, getting advanced insights from data and ML models is a sophisticated process that many companies still stru...

Over the last few years, the demand for complex scalable architecture with independently deployable modules and loosely-coupled units has increased. Recently, one of our clients, who has an online chemical platform, requested a solution to develop a complex extendable architecture that allows cross...

Modern cloud providers offer compelling opportunities to modernize IT infrastructure and gain operational efficiency through cloud-native design practices, DevOps, containers and more. However, moving to the cloud isn't easy. Those who join the cloud movement soon learn that there are a lot of m...

To meet the need for faster deployments and a scalable, cost-efficient infrastructure, a leading global manufacturer of electronic components worked with us to reach those goals faster. They needed a modern application to track component lifecycles, demands, and delivery timelines, and calculate co...

As the complexity of modern software development and maintenance grows, so too does the cost - in terms of time and money. It comes as no surprise then that the evolution of technologies continues to make progress in hiding complexity under abstractions for ease of operations. This has always been...

A global industrial technology leader in transportation and mobility faced multimillion-dollar annual losses from fuel distribution challenges, including leaks, theft, and meter inaccuracies. By deploying a cloud-native AWS analytics platform in just seven days, the company implemented AI-powered a...

Every business is focused on a rapid time to market and return on investment. It’s no longer enough to implement a data lake, businesses require a data platform that can provide immediately actionable insights. But building a data platform from the ground up can take a significant amount of tim...

Cloud migration has been a hot topic for many years but for many organizations it's far from being complete. According to a recent Forrester's State Of Public Cloud Migration report, about two-thirds of firms plan to move their workloads to public clouds in the next 12 months. When we design a c...

It's an e-commerce web application for a top-tier North American retailer. Quite a large application system - a few hundred developers are working on it. The system was rebuilt from scratch from a heavy monolithic enterprise application platform to a number of separately deployed components inter...

Every company wants to take advantage of their data to turn it into actionable insights. It can be used to build customer 360, reduce customer churn, plan marketing campaigns, and optimize pricing, inventory, and supply chain. Data is also key to increasing productivity and the efficiency of the wo...

There’s no way around it - preparing an annual CI/CD roadmap is boring. For the last half a decade it has simply ended up with listing the same "automate X", "extend pipeline Y", or "implement dashboard Z" actions. Always referring to similar tools and barely ever featuring any novel ideas. The...

While microservices architecture is a great way to design modern systems, most enterprise applications are still built as monoliths. While working with both Fortune-1000 companies and startups we often hear the same three questions: Should I use microservices architecture for the new system I...

The trend of implementing and migrating to microservices isn’t new. The industry is full of war stories where companies invested a lot of time, money, and effort to migrate microservices architectures but were never able to realize the full benefits. Every company’s journey is unique and mistakes t...

How does a data scientist typically perform their standard job stack such as data processing and training models? In the case of playing around with test data or models, all the work can be done locally. But when that isn’t the case, data specialists often resort to the help of cloud solutions, w...

In recent years, many organizations have provided public access to their digital ecosystems via APIs. This has transformed APIs from being a tool, into being a product. At the same time, wide adoption of microservices has led to an increased number of internal APIs used by organizations as well....

Implementing end-to-end continuous delivery at the enterprise level has always been a challenge. It is a complex problem that requires simultaneous improvements across an organization’s structure, culture, application architecture, infrastructure and change management processes. This challenge i...

Despite speeding up development with deployment automation, one of our clients was experiencing slow time-to-market due to a lack of collaboration in DevOps. While they had invested in DevOps, every production pipeline was set up individually, forcing teams to remake the wheel for each project....

Retailers wanting to upgrade their monolithic architecture systems to a microservices approach will need to build a management platform to truly capture its benefits. The advantages of microservices over monolithic architectures are evident: greater scalability, more customization, quicker updates,...

Speed and quality have always seemed mutually exclusive for engineering development -- but do they have to be? In order to ensure high quality, builds need to be thoroughly tested. However, testing takes time, and leads to slower production and missed deadlines. If teams release a product without i...

Recently, we started working on a mini chat application for a client support team. Though we expected a quick and easy implementation, we hit on some unexpected issues. We built the UI for our real-time application, wrote unit tests, and prepared some routes and controllers on the back end. Every...

In the previous blog post we explained our overall approach to the DevOps stack used for the deployment and management of the In-Stream Processing blueprint. In this post we’ll focus on more details of Mesos and Marathon, and provide you with scripts to provision the complete computational environm...

This post is about the approach to the “DevOps” part of our In-Stream Processing blueprint — namely, deploying the platform on a dynamic cloud infrastructure, making the service available to its intended users and supporting it through the continuous lifecycle of development, testing, and roll-ou...

In the previous four blog posts in this series we covered the reference architecture of a general purpose In-Stream Processing Service blueprint. To recap, here is a list of shortcuts to the blogs in that series: … AI data harness for data your AI can trustRead More »

In just six weeks, our QA experts at Grid Dynamics helped a client team turn limited test automation into a quality gate enforced on every merge. Coverage grew from roughly 20% to 80% across a modern release stack, without expanding the QA team. Two QA engineers directed the AI agents, reviewed...

Most enterprises are already betting big on AI… but very few have turned it into a reliable, industrial‑grade software factory. On the backend, most engineering leaders know they need AI SDLC, but few know how to measure whether they’re actually doing it well. Download the white paper to run a...

Today, agentic AI can autonomously build, test, and deploy full-stack application components, unlocking new levels of speed and intelligence in SDLC automation. A recent study found that 60% of DevOps teams leveraging AI report productivity gains, 47% see cost savings, and 42% note improvements in...

Today, many organizations find themselves grappling with the developer productivity paradox. Research shows that software developers lose more than a full day of productive work every week to systemic inefficiencies, potentially costing organizations with 500 developers an estimated $6.9 million an...

According to Gartner, by 2028, 33% of enterprise software applications will include agentic AI. But agentic AI won’t just be embedded in software; it will also help build it. AI agents are rapidly evolving from passive copilots to autonomous builders, prompting organizations to rethink how they dev...

Delivering reliable software at speed is challenging. Even more challenging is continuing to rely on traditional quality assurance as digital transformation accelerates. Manual testing and conventional test automation simply can't keep up with the complexity and pace of modern development. Arti...

Stay ahead by understanding the four key trends transforming enterprise cloud infrastructure and AI in 2025, from modernization to security and hybrid cloud solutions.

Many organizations have already embraced practices like Agile and DevOps to enhance collaboration and responsiveness in meeting customer needs. While these advancements mark significant milestones, the journey doesn't end here. Microservices offer another powerful way to accelerate business capabil...

Buckle up, web enthusiasts! We’re about to explore the fascinating world of Google’s Web Vitals—the crucial initiative that has reshaped how we approach web performance and user experience. My name is Maksym, and with more than 8 years in front-end development, I’ve seen firsthand how Web Vitals ha...

Given the global impact of the CrowdStrike event, the principles of good digital platform engineering must be emphasized more than ever. Today’s digital network ecosystems have highly automated processes mixing machine intelligence with manual activities. When building and enhancing these missi...

An API, or Application Programming Interface, is a set of rules, protocols, and tools that allows different software applications to communicate and interact with each other. It acts as a facilitator that lets software programs exchange data and functionality without delving into each other's compl...

2023 continues to be a challenging year for manufacturers, with ongoing supply chain disruptions, economic and geopolitical shifts, as well as talent shortages adding to the anticipated hurdles. This white paper dives into the why and how of strategic cost optimization for the manufacturing Informa...

Every developer strives to improve the speed and quality of coding, as well as formalizing processes and standards. Automation can help streamline these processes significantly, especially when it comes to reviewing pull requests—one of the most tiresome tasks in software development. When crea...

Adoption of machine learning (ML) methods across all industries has drastically increased over the last few years. Starting from a handful of ML models, companies now find themselves supporting hundreds of models in production. Operating these models requires the development of comprehensive capa...

With the current uncertain economic environment, many leaders are searching for ways to cut costs and redistribute their savings to growth areas. It puts them in a challenging position of simultaneously trying to cut back on spending while positioning their businesses for future growth. For many...

Let’s face it; the current state of today’s digital technology revolution would not exist without the cloud. With this undeniable truth, the pressure on business leaders to embrace and optimize strategies for the cloud is mounting inexorably. And we see this with the growing rate of cloud adoption...

After initial migration to the cloud, companies often discover that their infrastructure costs are surprisingly high. No matter how good the initial planning and cost estimation process was, the final costs almost always come in above expectations. On-demand provisioning of cloud resources...

In this article we’ll describe the Grid Dynamics technology for CPT, Jagger, which we developed

In the course of delivering many successful Continuous Performance Testing (CPT) implementations for enterprise customers, Grid Dynamics engineering teams have developed a number of basic design principles to guide their actions. Your requirements may be unique, but just as all custom race cars hav...

In previous posts we've talked about why  Continuous Performance Testing (CPT) must be an integral part of managing the user experience. We've also discussed some of the reasons CPT is hard to implement. Now it's time to get into the nitty-gritty of making CPT part of your CI pipelin...

The main reason website and application performance testing is not already continuous in many companies is clear: it’s hard to implement. Why? Let’s look at a few CPT implementation issues: Cost: Continuous Performance Testing takes money. Production-like infrastructure and an engineering team o...

In the world of e-commerce, performance issues can lead to substantial revenue loss, presenting a crucial challenge for enterprises. This scenario is particularly distressing for engineering teams, as nothing upsets them more than the frantic troubleshooting and patching required in the middle of t...

Given the global impact of the CrowdStrike event, the principles of good digital platform engineering must be emphasized more than ever. Today’s digital network ecosystems have highly automated processes mixing machine intelligence with manual activities. When building and enhancing these missi...

An API, or Application Programming Interface, is a set of rules, protocols, and tools that allows different software applications to communicate and interact with each other. It acts as a facilitator that lets software programs exchange data and functionality without delving into each other's compl...

For the past few years, cross-site scripting (XSS) has consistently remained on the OWASP Top 10 list of Web Application Security Risks, making it one of the most prevalent and dangerous vulnerabilities affecting web applications today. Despite advances in web technologies and growing awareness amo...

Financial services face significant risks from cybercriminals due to insecure cloud and DevOps practices, leading to data theft, financial losses, and reputational damage. Download our whitepaper to discover effective strategies for securing your ecosystem, from identification and protection to res...

Organizations take great care to secure cloud platforms, relying on sophisticated access control systems. Multi-factor authentication, identity management, and fine-grained authorization aim to fully lock down valuable data and infrastructure. However, what if these complex safeguards unexpect...

Supply chain cyber security risks have become more complex than ever, with attack surfaces increasing due to the involvement of more suppliers and vendors in sensitive data operations. Consequently, supply chain cybersecurity must adapt to and protect against new infiltration mechanisms, resource...

What are the top 5 cybersecurity threats directed at tech companies? Which 4 major preventive measures against data breaches should you use? What are the data security risks related to remote work? Data breach protection is a set of activities aimed at securing databa...

You can wait for vendors to make token economics more transparent or act now to understand your AI costs, reduce waste, keep innovating, and direct more of your budget toward measurable business value. The choice is yours. Because you chose to act now. This discussion helps you measure the p...

An agentic AI initiative can beat every adoption target and still destroy its own margin. Every prompt, model call, tool invocation, and agent decision adds a variable cost that grows with usage. What looked affordable in a pilot can turn into a real P&L exposure within months, once adoption ex...

In just six weeks, our QA experts at Grid Dynamics helped a client team turn limited test automation into a quality gate enforced on every merge. Coverage grew from roughly 20% to 80% across a modern release stack, without expanding the QA team. Two QA engineers directed the AI agents, reviewed...

With the rapid growth of AI agent usage in production, Grid Dynamics began facing challenges in determining whether agents were healthy, identifying abnormal behavior, and understanding when agent behavior deviated from expected outcomes. This article provides an actionable approach to building eval...

Ask five people in your organization what AI agent evaluation means, and you will get five different answers. Product teams track conversions and outcomes. Engineers test prompts and tool calls. SREs monitor uptime, latency, and token usage. Security teams run red-team exercises. Everyone evaluates...

A leading healthcare revenue cycle management (RCM) SaaS platform provider faced a fixed deadline to migrate its on-premise, monolithic claims platform. Rapid growth and multiple acquisitions had compounded legacy debt, making the .NET 4.5 application difficult to scale and maintain. The company ne...

What does AI-powered modernization as a daily operating model look like? On Monday morning, your teams do not start by opening an incident queue. They start by reviewing a set of pull requests produced overnight by software agents focused on modernization. Each pull request is small.

Download the ebook to learn how vibe prototyping helps teams validate ideas earlier, reduce uncertainty sooner, and invest only in initiatives with real business potential.

Most enterprises are already betting big on AI… but very few have turned it into a reliable, industrial‑grade software factory. On the backend, most engineering leaders know they need AI SDLC, but few know how to measure whether they’re actually doing it well. Download the white paper to run a...

Choosing the right agentic AI framework matters. Crew AI, Google ADK, LangGraph, and OpenAI Agents SDK each solve different problems, from rapid multi-agent prototyping to durable, stateful workflows and cloud-native enterprise agentic AI deployments.  This comprehensive white paper examine...

As an enterprise leader, you’ve likely seen countless AI prototype demos over the last few years promising empty buzzwords like “transformation”, “efficiency”, and “competitive edge”. But how many of those prototypes actually work in production? Over the past decade, multiple AI hype cycles ha...

Agents of change are here. Agentic AI is rewriting the rules of retail, manufacturing, financial services, and insurance, making workflows autonomous, compliant, and customer-first.

Today, agentic AI can autonomously build, test, and deploy full-stack application components, unlocking new levels of speed and intelligence in SDLC automation. A recent study found that 60% of DevOps teams leveraging AI report productivity gains, 47% see cost savings, and 42% note improvements in...

Today, many organizations find themselves grappling with the developer productivity paradox. Research shows that software developers lose more than a full day of productive work every week to systemic inefficiencies, potentially costing organizations with 500 developers an estimated $6.9 million an...

According to Gartner, by 2028, 33% of enterprise software applications will include agentic AI. But agentic AI won’t just be embedded in software; it will also help build it. AI agents are rapidly evolving from passive copilots to autonomous builders, prompting organizations to rethink how they dev...

Delivering reliable software at speed is challenging. Even more challenging is continuing to rely on traditional quality assurance as digital transformation accelerates. Manual testing and conventional test automation simply can't keep up with the complexity and pace of modern development. Arti...