Your app is outgrowing its
architecture? We scale it With You.
We build and optimize Azure apps to handle peak demand and scale smoothly as you grow.
Trusted by
Most performance issues are Architectural,
not infrastructure-related.
Performance degrades
Applications slow down under peak demand, even after adding compute resources.
Failures are hard to trace
When failures occur, poor visibility makes it harder to find the root causes.
Real-time demands on a batch-built system
Processing requirements have changed but the underlying architecture was never designed to support them.
Uncertain architecture
As traffic grows, it becomes unclear whether the architecture can keep up.
/ Our offerings
Built for the demands of Scale.
High-Performance Application Architecture
We design application architectures that scale and perform under real production workloads. Your existing systems will also be assessed to identify any bottlenecks and improve performance. What you get is a scalable, cloud-native architecture that is built using modern design patterns like event-driven systems, microservices, and CQRS to improve responsiveness and system stability.
Real-Time Processing and Event Streaming
We enable real-time processing of high-volume data so your systems react instantly to events like transactions or IoT signals, improving visibility and decisions. Built using Azure Event Hubs, Stream Analytics, Service Bus, and Functions, with proper reliability, partitioning, and failure handling.
Scalable API Platforms
Mashira designs API platforms to handle high traffic, with governance features like rate limiting, versioning, authentication, and monitoring to keep integrations stable as usage grows, built on Azure API Management and Azure Front Door.
Database Performance and Scalability
We design high-performance data layers for heavy workloads using Azure SQL Hyperscale, Cosmos DB, PostgreSQL Flexible Server, and Azure Cache for Redis.
Performance and Resilience Engineering
We identify and fix performance issues early through profiling and load testing. Our systems are resilient, with retries, circuit breakers, auto-scaling, and failure testing built in.
How our Cloud Migration
consulting Works:
Assess
Define performance needs, traffic patterns, and existing bottlenecks.
Architect
Plan target architecture with scale and fault-tolerance considerations included.
Build
Build component parts according to specification.
Test
Test for capacity, load, and failover.
Operate
Run with observability and autoscaling enabled.
Why Clients Choose Us, and Stay
Proven experience and track record with throughput-intensive architectures on Azure
Performance-first mindset from architecture through to delivery
In-depth knowledge of synchronous and asynchronous architecture
Certified Microsoft Solutions Partner with Azure expertise
See if this is the right fit for your Team
This is for you if ...
- Throughput, performance, or availability is your main engineering constraint
- You use or plan to move to Azure and need the architecture set up correctly from the start
- You anticipate growth in traffic and want to ensure that scalability is dealt with before it becomes an issue
- You've experienced performance issues in production and want a third-party assessment
- You're anticipating a traffic spike and would like validation ahead of time
This may not be the best fit if…
- Your application is still very early-stage and you do not have a performance requirement yet
- Your main priority is release speed rather than performance tuning
- You're using a different platform and do not intend to migrate to Azure
Your questions, answered
It comes down to architectural constraints -where throughput goes beyond the standard capabilities of a 3-tier application, latency SLA requires certain caching strategies, availability requirement calls for automated failovers, or real-time processing isn't possible via a batch processing approach. When those constraints exist, regular architectural decisions are a risk factor.
Architectural review and profiling under realistic load scenarios come first, since the symptom doesn't always point to the underlying cause. Based on a thorough understanding of how the application works, we generate a list of performance recommendations with estimated impacts and start implementing the most impactful items first.
There definitely is. Load testing only tells you if the system is meeting the targets at some particular point in time. Performance engineering relies on the load test as an integral part of an iterative cycle, which includes identification of bottlenecks, architecture changes, and subsequent load test validation of changes.
Our engineers will be involved in the process, but whether we'll be the main engineering force is dependent on the scope and phase of the project. With a greenfield project, we'll likely be responsible for engineering the system and doing the knowledge transfer to the customer. For existing apps, we usually support the internal development team.
Yes. High workload applications have their own infrastructure and data storage requirements, along with the performance ones. The Cloud Migration group and Data Engineering/BI teams will help out with that.
