Django developers build data-driven applications using a framework that ships with an ORM, migrations, authentication, permissions, and an automatically generated admin interface. Companies hire them because the admin alone replaces months of internal tooling work, and because ORM misuse producing hundreds of queries per page is the most common cause of slow Django applications.
Two things define working with this framework. The admin interface gives you a usable operations tool almost free, which teams routinely underuse. And the ORM makes it easy to write one line that issues four hundred queries. TechEsperto Solutions exploits the first and fixes the second.
Define your models and you have database tables, migrations, an administrative interface with search and filtering, user accounts, permissions, and password handling. For an internal operations tool, that is most of the product. Teams building the same thing on a minimal framework spend weeks producing something worse. The corresponding risk is that the ORM hides how many queries your code generates, so applications feel fast in development and crawl with real data. TechEsperto Solutions builds on the strength and measures the weakness.
Our engagements cover internal tools built on the admin, REST APIs using Django REST Framework, ORM performance and query optimisation, background processing, permission and multi-tenancy implementation, and version upgrades on applications several releases behind. Performance work and upgrades together make up most of our remediation engagements. Clients scoping broader delivery review our Python development services alongside hiring developers directly.
Customised admin interfaces with tailored list views, filters, bulk actions, inline editing, and permission-scoped access. Delivers an operations tool in weeks rather than a bespoke build over months.
Serialisers, viewsets, filtering, pagination, and authentication for APIs serving web and mobile clients. Includes schema generation so documentation stays accurate automatically.
Query counting, N+1 elimination, index review against actual query plans, and pushing aggregation into the database. Frequently produces large improvements with modest code changes.
Task queues for email, reports, third-party synchronisation, and anything slow, with retry policy, idempotency, monitoring, and dead letter handling for tasks that repeatedly fail.
Role-based and object-level permissions, and tenant scoping enforced at the query layer rather than in views. Includes tests that specifically attempt cross-tenant access.
Sequential upgrades through releases with dependency compatibility checked first. Applications on unsupported versions carry security exposure that upgrading resolves.
Assessment for this work centres on the ORM, because that is where Django applications succeed or fail. We test whether a candidate can read a query count, choose correctly between joining and prefetching, interpret a query plan, and design admin customisation rather than replacing it. API work is frequently staffed alongside our API development team where contract design matters as much as implementation.
Knowing when a join is correct and when a separate prefetch query is better, and applying each to the right relationship type. This single skill accounts for most Django performance work.
Custom list displays, computed columns, filters, actions, inline formsets, and permission scoping. A well-customised admin serves operations teams for years without a bespoke interface.
Squashing, conflict resolution, data migrations separated from schema changes, and reversibility. Several developers generating migrations concurrently is a predictable source of friction without process.
Nested representations, write behaviour, validation placement, and avoiding serialisers that trigger queries per item. Serialiser design is where API performance is usually won or lost.
Per-view, per-fragment, and per-query caching with an explicit invalidation rule for each. Caching without a clear invalidation story trades a slow application for a wrong one.
Asynchronous handling benefits views waiting on external calls. The ORM has limited async support, so the benefit is narrower than teams expect and worth assessing rather than assuming.
Most clients begin with a code review, because query counts and version currency both tend to differ from expectations. Options then include internal tool builds, API delivery, performance optimisation, an embedded developer, and an upgrade retainer. Indicative rates sit on our pricing page. Transparent pricing, an executed NDA, and full intellectual property transfer apply throughout.
We examine model design, query counts on key pages, admin usage, migration history, version currency, dependency vulnerabilities, and test coverage, then report findings ranked by impact.
An operations tool built primarily on a customised admin with the models, permissions, and workflows your team needs. Frequently the fastest route from a spreadsheet to a real system.
Endpoints with serialisers, filtering, pagination, authentication, and generated documentation, priced against acceptance criteria including query count limits per endpoint.
Query profiling, N+1 elimination, index work, and caching where warranted, measured before and after. Usually the highest-return engagement on an application with real data volume.
One specialist inside your team building features while keeping query behaviour and migrations disciplined. Suits organisations with an existing application and a continuing roadmap.
Sequential version upgrades, dependency updates, security patching, and performance monitoring. Releases arrive regularly and long-term support versions have defined end dates.
Nearly every slow Django application we inherit has the same cause. A template or serialiser iterates over objects and accesses a related field, and the ORM issues one query per item. Two hundred rows becomes two hundred and one queries, and nobody notices until production data arrives. The fix is straightforward once measured. We count queries before changing anything, apply the correct prefetching strategy per relationship, fetch only the columns actually used, add indexes based on real query plans, push aggregation into the database, and cache computed values with an explicit invalidation rule. Clients working with TechEsperto Solutions get measured improvements rather than guesses.
Instrument the request and read the actual count and duration. A page issuing three hundred queries needs a different fix from one issuing three slow ones, and the numbers tell you which you have.
Forward relationships suit a join, while reverse and many-to-many relationships suit a separate prefetch query. Using the wrong one either fails to help or produces an enormous result set.
Deferring large text and binary fields on list views reduces transfer and memory noticeably. Selecting a handful of columns instead of entire rows is frequently overlooked.
Read the plan from your database rather than guessing which column needs an index. Unnecessary indexes slow writes, so each one should be justified by a query that uses it.
Counting, summing, and grouping done by the database rather than in Python over fetched rows. Large difference on reporting pages and straightforward to apply once identified.
Expensive aggregates cached with a documented rule for when they become stale. Caching without that rule produces a fast application showing incorrect numbers, which is worse.
Django projects usually begin as a replacement for something rather than as new capability. Spreadsheets running a real process, an application written fifteen years ago, off-the-shelf software the business has outgrown, or a bespoke admin panel nobody wants to maintain. Knowing which shapes the approach considerably. Replacement of older platforms is frequently delivered alongside our legacy software modernisation practice.
The most common starting point and the one where this framework shines. Models mirroring the existing columns plus a customised admin frequently delivers a usable system within weeks.
Working software with security exposure and no available developers. We map existing behaviour carefully first, since undocumented business rules live in the code rather than in any specification.
Products where the licence cost or configuration limits have become the constraint. Migration involves data extraction and careful behaviour mapping rather than only new development.
Bespoke interfaces built before anyone realised the framework provides one. Replacing them with a customised admin removes a large amount of code nobody enjoys maintaining.
Processes coordinated through inboxes and shared folders. Models, statuses, and permissions turn an invisible process into one with a record and a queue.
Applications where models became enormous, business logic scattered, and queries multiplied. Refactoring incrementally is almost always better than restarting.
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The entry point is a free code review. Give us read access and we return a written assessment covering model design, query counts on your slowest pages, admin usage, migration history, version currency, dependency vulnerabilities, and test coverage, with findings ranked by impact against effort. Internal tools and performance work are available at fixed prices once scope is clear. Your team interviews the matched developers, onboarding completes inside a week, and retainers stay optional.
A few days of reading plus query measurement on your key pages. Clients frequently act on the findings themselves, which is a reasonable outcome from our side.
Query counts and response times on the pages that matter, recorded before any change. Establishes the number every later improvement is measured against.
Admin-based operations tooling quoted at a fixed price against a defined model and workflow list. Predictable because this is the framework’s strongest and most repeatable use.
Profiles arrive with relevant ORM and admin experience. You assess them against your standards, decline at no cost, and matching continues until the technical fit is right.
Repository access, database access or a seeded local setup, and sprint planning handled immediately so useful commits land inside the first fortnight.
Support begins with version upgrades and dependency patching, which is where the recurring need sits given the regular release cadence.
Our work and story have been picked up by news outlets and databases worldwide.
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Code reviews are free. Internal tools built on the admin are quoted at a fixed price against a defined model list and are unusually predictable. Performance engagements are quoted against a measured baseline, frequently with expected improvement stated. API delivery is priced against endpoints. Embedded developers are quoted monthly.
Code reviews deliver in under a week. An admin-based internal tool replacing a spreadsheet process typically launches in three to six weeks. API delivery runs four to eight weeks depending on endpoint count. Performance engagements usually show measured improvement within two to three weeks.
Most Django applications run well with one senior developer, since the framework does a great deal and coordination overhead rises quickly. Larger builds justify two working on separate applications within the project. Performance work is a single-person investigation.
Our developers join your repository, board, and chat workspace and follow your review process. Weekly sessions cover deployed changes and, for performance work, query counts before and after. Direct developer access throughout.
Repository access and either a development database or an anonymised dump. A mutual NDA is signed first. We do not need production data and prefer not to have it. Where production access is genuinely required it is scoped and revocable.
We staff for at least four hours of daily overlap with your business day across North American, UK, European, and Australian schedules. Reviews, pairing, and deployment windows sit inside that window.
Releases arrive every few months, with every third designated long-term support and carrying several years of security fixes. Staying on the current long-term support release is the pragmatic policy for most organisations. Retainers treat upgrades as scheduled maintenance, which keeps each step small and avoids running on an unsupported version.
Django wins wherever you need an administrative interface, a relational data model with migrations, built-in authentication and permissions, or server-rendered pages, and it wins on internal tooling by a wide margin. FastAPI wins for API-only services, high-concurrency workloads dominated by waiting on external calls, and cases where asynchronous handling throughout matters, since Django’s asynchronous support does not yet extend fully through the ORM. If your application has an admin requirement, choose Django. If it is a set of endpoints with no interface and heavy concurrency, choose FastAPI. We ask about the admin requirement first because it usually settles the question.
Tell us what you’re building. Our team will get back to you within one business day with a clear, no-obligation plan.
