Comprehensive Data Platform Support Services

TechNerds provides specialized support for Redis and Apache Kafka data platforms. We ensure your caching, messaging, and event streaming infrastructure is reliable, performant, and optimized for enterprise workloads.

Our data platform services cover the complete operational lifecycle—from architecture and deployment through performance tuning, capacity planning, high availability configuration, and incident response. We specialize in making Redis and Kafka production-ready for enterprise environments with monitoring, backup strategies, and disaster recovery procedures.

Core Platforms: Redis & Apache Kafka

We support Redis for high-performance caching and data structures, and Apache Kafka for distributed event streaming and messaging at enterprise scale.

Core Service Areas

Redis Platform Operations

High-performance caching and data structure operations

  • Redis Deployment: Installation and configuration of Redis standalone, sentinel, or cluster modes
  • High Availability Setup: Redis Sentinel configuration for automatic failover
  • Redis Cluster Management: Multi-node Redis cluster setup and operations
  • Performance Tuning: Memory optimization, eviction policies, and persistence configuration
  • Data Persistence: RDB and AOF configuration for data durability
  • Replication Management: Master-replica replication setup and monitoring
  • Security Configuration: ACL setup, password authentication, and TLS encryption
  • Backup & Recovery: Automated backup strategies and point-in-time recovery
  • Monitoring & Alerting: Redis-specific monitoring with Prometheus and Grafana

Apache Kafka Platform Operations

Distributed event streaming and messaging platform management

  • Kafka Cluster Deployment: Multi-broker Kafka cluster installation and configuration
  • ZooKeeper Management: ZooKeeper ensemble setup and operations (or KRaft mode)
  • Topic Management: Topic creation, partition management, and replication configuration
  • Producer & Consumer Tuning: Optimization of producer and consumer configurations
  • Cluster Scaling: Adding and removing brokers, rebalancing partitions
  • Security Configuration: SSL/TLS encryption, SASL authentication, and ACL management
  • Monitoring & Metrics: Kafka-specific monitoring with JMX, Prometheus, and Grafana
  • Performance Optimization: Throughput and latency optimization for high-volume workloads
  • Upgrade Management: Kafka version upgrades with rolling restarts

High Availability & Disaster Recovery

Ensuring business continuity for critical data platforms

  • HA Architecture Design: Design of highly available Redis and Kafka architectures
  • Multi-Zone Deployment: Deployment across multiple availability zones
  • Failover Configuration: Automatic failover setup and testing
  • Disaster Recovery Planning: DR strategies and recovery procedures
  • Backup Strategies: Regular backups and retention policies
  • Cross-Region Replication: Geo-replication for disaster recovery (Kafka MirrorMaker)
  • Recovery Testing: Regular DR drills and recovery time validation
  • RTO/RPO Optimization: Tuning recovery objectives for business requirements

Performance Tuning & Optimization

Maximizing throughput and minimizing latency

  • Performance Profiling: Analysis of performance bottlenecks and resource utilization
  • Memory Optimization: Redis memory management and eviction policy tuning
  • Disk I/O Optimization: Kafka disk configuration and log segment tuning
  • Network Tuning: Network configuration optimization for high throughput
  • Batch Size Optimization: Kafka producer and consumer batch size tuning
  • Compression Configuration: Data compression for reduced network and storage overhead
  • Connection Pooling: Client connection pooling and management
  • Load Testing: Performance testing and capacity validation

Capacity Planning & Scaling

Proactive capacity management and horizontal scaling

  • Capacity Analysis: Analysis of current usage and growth trends
  • Resource Forecasting: Forecasting of future resource requirements
  • Scaling Strategies: Horizontal and vertical scaling recommendations
  • Cluster Expansion: Adding nodes/brokers to existing clusters
  • Partition Rebalancing: Kafka partition rebalancing for even distribution
  • Storage Planning: Storage capacity planning and expansion
  • Performance Benchmarking: Baseline performance metrics for capacity decisions
  • Cost Optimization: Right-sizing resources for cost efficiency

Incident Handling & Troubleshooting

Rapid response to data platform incidents

  • 24×7 Incident Response: Round-the-clock support for critical data platform issues
  • Performance Degradation: Diagnosis and resolution of performance issues
  • Connection Issues: Troubleshooting client connectivity problems
  • Data Loss Investigation: Investigation and recovery from data loss scenarios
  • Replication Lag: Diagnosis and resolution of replication lag issues
  • Cluster Health Issues: Resolution of broker/node health problems
  • Root Cause Analysis: Detailed RCA for incidents with preventive measures
  • Escalation Management: Coordination with vendors for complex issues

Technology Stack

Redis / Redis Enterprise
Redis Sentinel / Redis Cluster
Apache Kafka
Apache ZooKeeper / KRaft
Kafka Connect
Kafka Streams
Schema Registry
Kafka MirrorMaker
Prometheus / Grafana
Kafka Manager / AKHQ

Technologies & Tools We Support

Redis Platforms

Redis
In-Memory Data Store
Redis Sentinel
High Availability
Redis Cluster
Distributed Redis
Redis Enterprise
Enterprise Platform

Apache Kafka Ecosystem

Apache Kafka
Event Streaming
ZooKeeper
Coordination Service
KRaft
Kafka Raft Metadata
Kafka Connect
Data Integration
Kafka Streams
Stream Processing
Schema Registry
Schema Management

Kafka Tools & Management

MirrorMaker
Replication
Kafka Manager
Cluster Management
AKHQ
Kafka GUI
Kafka CLI Tools
Command Line

Monitoring & Observability

Prometheus
Metrics Collection
Grafana
Visualization
JMX Exporter
Java Metrics
Redis Exporter
Redis Metrics

Deployment & Orchestration

Kubernetes
Container Orchestration
OpenShift
Enterprise Platform
Helm
Package Manager
Operators
K8s Operators

Delivery Model

9×5 Active Support

Dedicated data platform engineers for operations, performance tuning, and capacity planning.

24×7 Critical Escalation

Round-the-clock support for production-impacting Redis or Kafka issues.

Performance Monitoring

Continuous monitoring of platform performance, throughput, and resource utilization.

Proactive Maintenance

Regular health checks, upgrades, and optimization to prevent issues.