As an IBM Business Silver Partner, our certified practice team delivers end-to-end expertise across IBM Middleware integration, Security intelligence, Data platforms, and Instana observability — helping enterprises modernise, secure, and gain full visibility into their most critical systems.
Enterprise integration at its core — connecting applications, systems, and data across on-premise and hybrid cloud environments using IBM MQ, App Connect, DataPower, and App Connect Enterprise.
IBM Middleware is the backbone of enterprise integration for thousands of organisations worldwide — enabling reliable, secure message delivery, API management, and application connectivity across heterogeneous landscapes. IBM MQ provides guaranteed message delivery for mission-critical workloads; IBM App Connect Enterprise (formerly IIB) enables complex message transformation and routing; IBM DataPower Gateway secures and controls API and B2B traffic; and IBM App Connect provides cloud-native integration with SaaS and on-premise applications. Our IBM Middleware practice has deep expertise across the full IBM integration portfolio, delivering implementations that are robust, maintainable, and aligned to IBM best practices for enterprise-scale deployments.
Deploying and configuring IBM MQ queue managers, channels, and clusters — designing point-to-point and publish/subscribe topologies, configuring high availability with multi-instance queue managers, and implementing TLS security for enterprise messaging workloads.
Deploying and tuning IBM WebSphere Application Server and WebSphere Liberty for Java EE and Jakarta EE workloads — configuring clusters, session persistence, JNDI resources, and SSL, migrating traditional WAS profiles to Liberty, and implementing zero-downtime rolling upgrades in containerised and on-premises environments.
Configuring IBM DataPower Gateway for API security, B2B integration, and XML/JSON processing — implementing OAuth 2.0, WS-Security, rate limiting, threat protection, and SSL/TLS enforcement for enterprise API and web service traffic management.
Migrating on-premise IBM Middleware deployments to containers — packaging MQ and ACE in Docker/Kubernetes using IBM-provided operators, implementing Cloud Pak for Integration on OpenShift, and establishing hybrid connectivity between on-premise and cloud environments.
Designing enterprise integration architectures using established EIP patterns — message routing, aggregation, splitter, content-based routing, correlation, and saga orchestration implemented on IBM Middleware, aligned to the organisation's governance and operational standards.
Conducting IBM Middleware health assessments — reviewing queue depths, channel throughput, ACE flow performance, and DataPower processing latency — and delivering tuning recommendations for improved throughput, reduced latency, and stable production operations.
Enterprise cybersecurity intelligence — threat detection with QRadar SIEM, data protection with Guardium, identity governance with IBM Verify, and AI-driven security operations across the enterprise attack surface.
IBM Security is one of the most comprehensive enterprise security portfolios in the industry — spanning SIEM, SOAR, data security, identity and access management, and threat intelligence. IBM QRadar SIEM collects, correlates, and analyses security events from across the enterprise to detect threats in real time; IBM Guardium protects sensitive data in databases and data warehouses; IBM Verify provides cloud-native identity governance and access management; and IBM Security Intelligence (formerly X-Force) provides threat intelligence feeds and advisory services. Our IBM Security practice helps organisations design, deploy, and operationalise these platforms — building mature security operations capabilities aligned to NIST, ISO 27001, and regulatory compliance frameworks.
Deploying and configuring IBM QRadar SIEM — integrating log sources (firewalls, endpoints, applications, cloud services), tuning correlation rules and offences, building custom AQL queries, and establishing SOC workflows for threat detection and incident response.
Implementing IBM Guardium for database activity monitoring — configuring agents on Oracle, DB2, SQL Server, and PostgreSQL, defining data access policies, building compliance reports for PCI DSS and GDPR, and alerting on anomalous data access patterns.
Deploying IBM Verify for enterprise IAM — configuring SSO, MFA, adaptive access policies, lifecycle management, and privileged access governance, integrated with Active Directory, LDAP, and cloud applications via OIDC/SAML federation.
Implementing IBM Security QRadar SOAR (formerly Resilient) for automated incident response — building playbooks that orchestrate containment, investigation, and remediation actions across firewall, EDR, identity, and ticketing systems in response to SIEM alerts.
Building IBM QRadar and Guardium compliance reporting frameworks for PCI DSS, HIPAA, SOX, GDPR, and ISO 27001 — automating evidence collection, generating audit-ready reports, and mapping security controls to regulatory requirements.
Reviewing and optimising IBM QRadar correlation rules and building sets — reducing false positive rates, creating custom rules for environment-specific threat patterns, and establishing threat hunting workflows using QRadar's advanced search and UBA capabilities.
Enterprise data management, analytics, and AI — IBM Db2, DataStage ETL pipelines, IIDR data replication, Cognos Analytics, OpenPages governance, and WatsonX AI platform implementations for data-driven enterprises.
IBM's data portfolio spans the full enterprise data lifecycle — from transactional data management with IBM Db2, through ETL and data integration with IBM DataStage, business intelligence and reporting with IBM Cognos Analytics, governance and risk management with IBM OpenPages, to AI and foundation model deployment with IBM WatsonX. These platforms serve enterprises in financial services, healthcare, manufacturing, and public sector that need robust, auditable, and scalable data infrastructure. Our IBM Data practice helps organisations design and implement data architectures that connect these platforms, establish data governance frameworks, and deliver business intelligence and AI capabilities that create measurable value.
Deploying and tuning IBM Db2 for OLTP and analytical workloads — configuring tablespaces, buffer pools, and compression, implementing high availability with HADR, and optimising query performance through index design, statistics collection, and explain plan analysis.
Building IBM DataStage parallel jobs for enterprise ETL — designing extraction, transformation, and load pipelines from source systems (Oracle, SAP, Salesforce, flat files) into data warehouses or data lakes, with error handling, logging, and scheduling via IBM DataStage Director or Airflow.
Implementing IBM Cognos Analytics for enterprise BI — designing semantic layer models (Framework Manager), building self-service dashboards and reports, configuring data modules, and establishing governed analytics environments with role-based access to business data.
Implementing IBM OpenPages for governance, risk, and compliance — configuring risk registers, control libraries, audit workflows, and regulatory reporting frameworks aligned to SOX, GDPR, Basel III, and operational risk management standards.
Deploying IBM WatsonX.ai for enterprise AI workloads — integrating foundation models, building prompt engineering workflows, configuring WatsonX.data as the lakehouse layer, and establishing AI governance with WatsonX.governance for bias detection and model risk management.
Implementing IBM IIDR for real-time change data capture and continuous replication — configuring CDC pipelines between heterogeneous databases (Db2, Oracle, SQL Server, PostgreSQL), enabling zero-downtime migrations, disaster recovery replication, and event-driven data streaming to Kafka and cloud targets.
Automated application performance monitoring — continuous, code-level observability for microservices, Kubernetes, and hybrid cloud environments with AI-powered root cause analysis and sub-second incident detection.
IBM Instana is an automated APM platform purpose-built for modern, dynamic application environments — providing continuous discovery, tracing, and monitoring of microservices, containerised workloads, and cloud-native applications without manual configuration. Its single-agent deployment automatically instruments hundreds of supported technologies, collecting 1-second granularity metrics and distributed traces across every service, database call, and infrastructure component. AI-powered change detection correlates deployment events with performance degradation in real time, dramatically reducing mean time to resolution (MTTR). Our Instana practice helps engineering and SRE teams deploy, configure, and operationalise Instana across complex multi-cloud and hybrid environments — delivering end-to-end visibility from user experience through application code to infrastructure.
Rolling out IBM Instana agents across Kubernetes clusters, VMs, and container platforms — configuring DaemonSet deployments, validating technology sensor coverage (JVM, Node.js, .NET, Python, databases, MQ), and ensuring complete application topology discovery from day one.
Configuring end-to-end distributed tracing across microservice architectures — setting up trace correlation across service boundaries, instrumenting asynchronous messaging (IBM MQ, Kafka), and configuring custom span tags to capture business-relevant context in traces.
Building Instana custom dashboards for service-level monitoring — defining SLI/SLO targets for latency, error rate, and availability, configuring SLO widgets, and creating infrastructure and application dashboards tailored to engineering, operations, and management audiences.
Designing Instana alerting policies — configuring smart alerts, threshold-based and anomaly-based alert channels, and integrating Instana with PagerDuty, ServiceNow, Slack, and OpsGenie for incident creation, escalation, and on-call management workflows.
Deploying IBM Instana on self-hosted infrastructure — configuring the Instana backend on Kubernetes using the Instana Operator, managing datastores (Cassandra, Elasticsearch, ClickHouse, Kafka), and establishing backup, upgrade, and high-availability procedures for production environments.
Integrating Instana with the broader IBM observability ecosystem — feeding Instana events and metrics into IBM QRadar for security correlation, connecting Instana traces to IBM Watson AIOps for AI-powered incident analysis, and exporting metrics to IBM Turbonomic for resource optimisation.
TechAvidity holds IBM Business Silver Partner status — giving clients access to IBM-trained and certified consultants, partner support channels, and early access to IBM product roadmaps and technical resources.
From MQ messaging and ACE integration through QRadar security and Instana observability — we cover the full IBM enterprise stack in a single practice, delivering cohesive solutions that span integration, security, data, and monitoring.
Our IBM practice has delivered programmes in financial services, healthcare, utilities, and government — sectors where IBM's enterprise reliability, compliance posture, and long-term support commitments are non-negotiable requirements.
We go beyond advisory — our team designs, builds, tests, and supports IBM implementations, providing hands-on delivery from initial architecture workshops through production go-live and post-deployment operational support.