Elasticsearch Support Services
Keep Your Elasticsearch Stack
Running Without Interruption
We are Open source Code Contributor
Zero-Day Vulnerability Fixes
Critical Vulnerability Assessment
Roadmap & Recommendations
SLA-Backed Technical Support
Zero-Day Vulnerability Fixes
Critical Vulnerability Assessment
Roadmap & Recommendations
SLA-Backed Technical Support
Elasticsearch Support That's Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
Elasticsearch Support Packages
Every plan is designed around a specific operational reality of your Elasticsearch support services needs. Choose the one that matches how critical your Elasticsearch environment is and how fast you need us to move when something goes wrong.
Standard
Advanced
Platinum
What Ksolves Has Delivered for Organizations Running Elasticsearch at Scale
Across e-commerce, fintech, media, and SaaS, enterprises trust Ksolves' Elasticsearch managed support and AI-First approach to deliver faster search, stable clusters, and lower operational costs.
99.99%
SLA Maintained
SLA Maintained
Ksolves holds 99.99% uptime across client environments through proactive monitoring, auto-healing pipelines, and zero-drama incident response.
40%
Lower TCO
Lower TCO
From licensing audits to compute consolidation, Ksolves cuts total cost of ownership by 40%, without cutting corners on performance or reliability.
98%
Contract Renewal Rate
Contract Renewal Rate
We take pride in saying 98% of clients come back. Not because of lock-in, but because the work speaks for itself. That’s Ksolves Promise - on time, on budget, and exactly what was promised.
30 Min
Turnaround Time
Turnaround Time
Ksolves responds and resolves in under 30 minutes, keeping production running and teams unblocked.
End-to-End Elasticsearch Support Services for Your Complete Search and Analytics Infrastructure
Elasticsearch does not run in isolation. Kibana, Logstash, Beats, ILM policies, snapshot repositories, and security realms all interact with every search and indexing operation. Ksolves supports the full stack.
24/7 Elasticsearch Managed Support
JVM heap pressure, unassigned shards, and disk watermark breaches build silently until clusters turn red. Ksolves monitors every signal and resolves issues before your application teams notice.
- Elasticsearch managed support covering single-node, multi-node, and Elastic Cloud deployments
- Cluster health monitoring covering green, yellow, and red state transitions with immediate alert escalation
- Node JVM heap tracking with GC pressure detection and circuit breaker trip alerting
- Shard allocation monitoring covering unassigned shards and disk watermark proximity alerts
- ILM policy monitoring with rollover, shrink, and delete phase execution tracking
- Elasticsearch SLA support with named escalation contacts and a dedicated client Slack channel
Elasticsearch Performance Monitoring and Health Monitoring
Cluster Health, Nodes Stats, and Index Stats APIs tell you everything. Most teams check them after a red state. Ksolves instruments them into live Elasticsearch health monitoring alerts that catch issues first.
- Prometheus elasticsearch_exporter with per-node and per-index metric labeling
- Grafana dashboards covering search latency, JVM heap, GC time, shard count, and disk usage
- Elasticsearch health monitoring covering green to yellow and yellow to red state transition alerting
- JVM heap alerting at configurable thresholds, with old GC collection time tracking per node
- Disk watermark monitoring covering low, high, and flood stage proximity with pre-breach alerting
Elasticsearch Performance Tuning and Cluster Optimization
Oversharded indexes, missing keyword mappings, and undersized JVM heap cause most performance problems. Ksolves finds the exact layer and fixes it with measurable Elasticsearch performance monitoring benchmarks.
- Index mapping review covering field type selection, keyword vs text distinction, and dynamic mapping risk
- Shard sizing optimization covering count reduction, 10-50GB target alignment, and oversharding remediation
- JVM heap sizing to 50% of available RAM with G1GC configuration and GC log analysis
- Query optimization covering filter context usage, bool query structure, and aggregation memory limits
- Index template design for consistent mapping and settings across all index patterns
Elasticsearch Health Check Service That Finds Risk First
Too many shards, JVM heap above 75%, and untested snapshots carry production risk standard monitoring never surfaces. The Ksolves Elasticsearch health monitoring check finds all of it.
- Cluster topology review covering node roles, shard allocation awareness, and rack awareness configuration
- Shard audit covering total count per node, unassigned shard history, and primary vs replica balance
- JVM heap and GC audit covering heap sizing, GC algorithm, and circuit breaker configuration
- Index mapping review covering field count, dynamic mapping exposure, and keyword field misuse
- ILM policy audit covering rollover conditions, phase transition timing, and delete policy effectiveness
Elasticsearch Setup, Configuration, and Implementation
Shard count, JVM sizing, and ILM design at setup determine cluster behavior at 10x data volume. Ksolves delivers an Elasticsearch implementation built for production scale from day one.
- Elasticsearch cluster installation on AWS, GCP, Azure, and on-premises with node role separation
- Master-eligible, data, coordinating, ingest, and ML node role configuration per cluster topology
- Index template and component template design for consistent mapping across all index patterns
- ILM policy design covering hot, warm, cold, frozen, and delete phases per data stream
- TLS, RBAC, and audit logging as part of every new Elasticsearch support services deployment
Elasticsearch Migration and Version Upgrade Services
Mapping compatibility and deprecated API removal must happen before any binary is swapped. Ksolves manages Elasticsearch migration and OpenSearch transitions end-to-end.
- Pre-upgrade audit covering deprecated settings, removed APIs, and index compatibility validation
- Rolling upgrade across data nodes with master node sequencing for zero-downtime transitions
- Index reindexing using the Reindex API for indexes incompatible with the target major version
- Elasticsearch to OpenSearch migration covering API compatibility, plugin mapping, and data validation
- Elastic Stack upgrade covering coordinated Elasticsearch, Kibana, Logstash, and Beats alignment
Elasticsearch Security Built Into the Cluster Architecture
Log data, financial events, and application telemetry need security built into the cluster design rather than added before an audit. Ksolves applies controls at the architecture level from day one.
- TLS/SSL for all inter-node transport communication and HTTP client connections
- RBAC using Elasticsearch native security with least-privilege roles at the index and field level
- Field and document-level security for restricting data visibility by user role within indexes
- Elasticsearch Audit Logging for all authentication and data access events with SIEM export
- GDPR, HIPAA, SOC 2, and PCI-DSS compliance with data masking via ingest pipeline processors
Elasticsearch Managed Support Contract With a Dedicated Expert
Real Elasticsearch production expertise covering shard optimization, JVM tuning, ILM design, and security is hard to find. The Ksolves Elasticsearch managed support contract puts that expertise on your team without the hiring overhead.
- Dedicated Elasticsearch expert with guaranteed Elasticsearch SLA support for all severity levels
- Monthly reviews covering shard count trends, JVM heap, disk usage, and capacity forecasts
- Proactive Elasticsearch performance monitoring with release tracking and breaking change advisory
- Consultation hours for index design, mapping optimization, ILM redesign, and topology changes
- Three tiers: Essentials (business hours), Professional (16x5), Enterprise (24x7) with Slack access
Through the Client's Lens
Why Ksolves Is a Trusted Choice of Global Teams for Elasticsearch Support Service?
Ksolves is a trusted Elasticsearch managed service provider in the USA, with proven expertise in JVM heap tuning, split-brain resolution, and zero-downtime major version upgrades at production scale.
90%
Client Retention Rate
750+
Projects Successfully
Delivered
NSE & BSE
Publicly Listed
Company
600+
Workforce and still
growing
350+
Certifications
200+
Happy Clients
150K+
Support Hours
Completed
Industries We Help Scale with Elasticsearch
Every industry runs Elasticsearch differently. The indexing volume, query patterns, and compliance requirements vary significantly. Ksolves builds Elasticsearch support services around what each industry actually demands.
Telecom
CDR analytics and network event logs need a consistent search at carrier scale. Ksolves manages shard allocation, JVM tuning, and ILM policies for telecom Elasticsearch environments.
Healthcare
HIPAA-compliant Elasticsearch for clinical event search requires field-level security and full audit logging. Ksolves manages all security controls, and Elasticsearch managed support for healthcare environments.
E-Commerce
Product search indexes need sub-millisecond response during peak traffic. Ksolves keeps e-commerce Elasticsearch tuned with shard optimization, mapping design, and query cache management.
Fintech
Transaction search and fraud analytics demand speed and compliance simultaneously. Ksolves manages Elasticsearch SLA support where search latency directly affects compliance obligations.
Media and Advertising
Content search and ad event logs at a multi-billion-document scale need consistent throughput. Ksolves manages shard sizing, ILM design, and JVM configuration at audience scale.
Manufacturing
IoT event logs and production analytics feed operational dashboards continuously. Ksolves manages indexing pipeline health, ILM policies, and cluster availability for high-volume environments.
Retail
Product catalog search and POS analytics power real-time retail search. Ksolves keeps retail Elasticsearch performant across seasonal peaks and promotional surges.
Banking and Financial Services
Audit trail indexes and transaction logs require strict security and guaranteed availability. Ksolves provides Elasticsearch managed support for banking institutions across multiple jurisdictions.
Logistics and Supply Chain
Shipment event logs and carrier analytics feed a real-time operational search. Ksolves manages cluster health and search performance where data freshness has direct cost implications.
Technology and SaaS Application
log search and multi-tenant event data need reliable performance without dedicated operations headcount. Ksolves provides the Elasticsearch managed support that makes it sustainable.
Ksolves: Insights from Enterprise Experts
Explore the latest real-time data processing trends, stream processing strategies, and expert insights for building scalable, reliable, and high-performance data environments.
Success Stories from Global Enterprises
Ksolves Big Data Experts have delivered excellence for multiple clients operating across industries. Explore the case studies and experience the Ksolves Impact.
Multi-Site CDR Pipeline for a Telecom Operator Across 4 Remote Locations
Challenge
CDR data from 4 remote sites had no unified ingestion, and billing reconciliation was fully manual, causing revenue leakage as subscriber volumes grew.
Solution
NiFi agents at all 5 sites feed Kafka → Spark → Druid, with live Superset dashboards for billing and network teams.
Sub-second
Query Response on Live CDR Data
NiFi 1.27 → 2.7 Kubernetes
Migration– Financial Services
Challenge
NiFi 1.27 is running on bare metal with no SSO, no scalability, and a growing compliance pipeline that the architecture couldn't support.
Solution
Migrated to NiFi 2.7 on Kubernetes with OneLogin SSO integration, zero downtime, completed in 6 weeks.
3X
Scalability Headroom – 6 Weeks, Zero Downtime
Eliminating ~900K Duplicate Oil Well Records via Azure Databricks
Challenge
The same wellbore appeared under 3–4 different IDs across 6,200 Excel files and 8 systems, causing royalty errors and a BLM audit risk.
Solution
Azure Databricks + PySpark deduplication with geospatial blocking and an ML model (F1=0.971), plus a human-in-the-loop MDM review portal.
~900K
Duplicate Records Eliminated
Petabyte CDR Migration from MapR to ClickHouse – Zero Data Loss
Challenge
Years of CDR data on an end-of-life MapR platform with no vendor support. Compliance queries took 4–6 hours, and regulators required signed proof of zero data loss.
Solution
Spark migrated data in resumable batches with 4 automated validation checks per batch. NiFi produced a signed migration certificate. ClickHouse was optimised for compliance queries from day one.
<8s
Compliance Query Time (from 4–6 hours)
AI-Ready Open Lakehouse on Red Hat OpenShift – Gulf Retailer
Challenge
SAP S/4HANA was too expensive. Cloud platforms are unavailable across GCC. 80 TB of daily data needed sub-second processing, and Power BI reports couldn't be touched.
Solution
On-premises lakehouse on existing OpenShift: NiFi → Kafka → Flink → Iceberg on MinIO → Trino serving Power BI as a drop-in SAP BW replacement. Zero new hardware.
80 TB
Daily Data: Sub-Second SLA, Zero New Hardware
Multi-Site CDR Pipeline for a Telecom Operator Across 4 Remote Locations
Challenge
CDR data from 4 remote sites had no unified ingestion, and billing reconciliation was fully manual, causing revenue leakage as subscriber volumes grew.
Solution
NiFi agents at all 5 sites feed Kafka → Spark → Druid, with live Superset dashboards for billing and network teams.
Sub-second
Query Response on Live CDR Data
NiFi 1.27 → 2.7 Kubernetes Migration, Financial Services
Challenge
NiFi 1.27 is running on bare metal with no SSO, no scalability, and a growing compliance pipeline that the architecture couldn't support.
Solution
Migrated to NiFi 2.7 on Kubernetes with OneLogin SSO integration, zero downtime, completed in 6 weeks.
3X
Scalability Headroom – 6 Weeks, Zero Downtime
Eliminating ~900K Duplicate Oil Well Records via Azure Databricks
Challenge
The same wellbore appeared under 3–4 different IDs across 6,200 Excel files and 8 systems, causing royalty errors and a BLM audit risk.
Solution
Azure Databricks + PySpark deduplication with geospatial blocking and an ML model (F1=0.971), plus a human-in-the-loop MDM review portal.
~900K
Duplicate Records Eliminated
Petabyte CDR Migration from MapR to ClickHouse – Zero Data Loss
Challenge
Years of CDR data on an end-of-life MapR platform with no vendor support. Compliance queries took 4–6 hours, and regulators required signed proof of zero data loss.
Solution
Spark migrated data in resumable batches with 4 automated validation checks per batch. NiFi produced a signed migration certificate. ClickHouse was optimised for compliance queries from day one.
<8s
Compliance Query Time (from 4–6 hours)
AI-Ready Open Lakehouse on Red Hat OpenShift – Gulf Retailer
Challenge
SAP S/4HANA was too expensive. Cloud platforms are unavailable across GCC. 80 TB of daily data needed sub-second processing, and Power BI reports couldn't be touched.
Solution
On-premises lakehouse on existing OpenShift: NiFi → Kafka → Flink → Iceberg on MinIO → Trino serving Power BI as a drop-in SAP BW replacement. Zero new hardware.
80 TB
Daily Data: Sub-Second SLA, Zero New Hardware
Frequently Asked Questions
Everything you need to know before choosing an Elasticsearch support partner.
Elasticsearch managed support covers 24×7 cluster health monitoring, shard allocation management, JVM heap tracking, ILM policy management, query optimization, version upgrades, security hardening, and incident response with full root cause analysis.
A red cluster means one or more primary shards are unassigned. Common causes include a data node going offline, a disk watermark breach blocking allocation, or a shard count exceeding node capacity. Ksolves resolves red cluster states as part of every Elasticsearch support services engagement.
Slow search most commonly traces back to shard oversharding, JVM GC pauses, query context used where filter context should apply, or high-cardinality aggregations consuming excessive heap. Ksolves identifies the exact cause through Elasticsearch performance monitoring and fixes it at the root.
Oversharding occurs when the total shard count exceeds what node heap can manage, degrading search performance and cluster state operations. Ksolves fixes it through index consolidation using the Shrink API and ILM rollover redesign as part of Elasticsearch managed support engagements.
JVM heap pressure occurs when the heap is sized above 50% of available RAM, when aggregations consume excessive heap without circuit breaker limits, or when field data cache is unbounded on high-cardinality fields. Ksolves resolves it through heap resizing and G1GC configuration.
Elasticsearch health monitoring uses the Cluster Health API for overall status, Nodes Stats API for JVM and disk per node, Cat Shards API for shard allocation visibility, and Index Stats API for search latency and indexing throughput. Ksolves instruments all of these into Prometheus and Grafana dashboards as part of Elasticsearch performance monitoring engagements.
Elasticsearch upgrades use a rolling approach, upgrading data nodes one at a time. Indexes before the minimum supported version require reindexing first. Ksolves manages the full process, including compatibility audits, reindexing, and post-upgrade regression testing as part of Elasticsearch managed support.
Yes. Ksolves provides an Elasticsearch to OpenSearch migration covering REST API compatibility assessment, plugin equivalence mapping, index migration, and post-migration query validation. Contact us to discuss your migration scope and timeline.
Elasticsearch security requires TLS for all transport and HTTP communication, RBAC with least-privilege roles, field and document level security, LDAP integration for centralized authentication, and Audit Logging with SIEM export. Ksolves implements all of these as part of Elasticsearch support services compliance engagements.
Index Lifecycle Management automatically moves indexes through hot, warm, cold, frozen, and delete phases based on age or size. Without ILM, indexes grow unchecked, causing disk exhaustion and cluster performance degradation. Ksolves designs ILM policies as part of every Elasticsearch managed support engagement.
Yes. Ksolves is a trusted Elasticsearch support company in the USA and an Elasticsearch managed service provider in the USA serving enterprises across North America with Elasticsearch SLA support and 24×7 global coverage with sub-15-minute critical incident response SLAs.
The Ksolves Elasticsearch health monitoring check audits cluster topology, shard sizing, JVM heap configuration, ILM policy effectiveness, index mapping health, and security configuration. Delivered as a written report with severity-ranked findings and projected performance improvement per change.
