Sumo Logic or self-hosted OpenSearch: which fits your log platform
Choose Sumo Logic if you want a managed log analytics service and your organization accepts that log data is processed in Sumo Logic's cloud. Choose self-hosted OpenSearch if log data must stay inside your own infrastructure, if Apache 2.0 licensing matters to your procurement, or if you want to stop paying for scan-based or credit-based consumption. Sumo Logic fits teams without search cluster experience who would rather hand off indexing, scaling and patching. OpenSearch fits teams that can run a search cluster, with engineers who own its upgrades, backups and capacity planning.
Sumo Logic fits when managed operations matter more than control of the platform, when the staff available cannot take on cluster administration, and when SaaS hosting is acceptable for the log types you ingest, including security-relevant logs. It also fits when your analysts already work in its query language and dashboards and retraining would be costly. OpenSearch fits when regulators, contracts or internal policy require logs to remain in your data center or cloud account, including air-gapped networks, and when the open-source license is a requirement rather than a preference. Confirm with your legal and security teams whether any log source contains data that cannot leave your boundary, since that single answer often decides the question.
The decision turns on three things. First, data location: list every log source and where it may be processed and stored. Second, staff capacity: count the engineers who can own OpenSearch security configuration, index lifecycle, snapshots and version upgrades, and decide whether to hire, train or buy outside support. Third, the search and alerting workflows your analysts depend on: export your saved searches, scheduled alerts and dashboards, then test whether OpenSearch Dashboards and its alerting features can reproduce them before committing. The migration pages in this group cover how to move that work once the choice is made.
Which option fits which scenario
This table maps six common situations to the platform that usually fits better and the condition that would reverse the choice. Read each row as a starting point, then check the flip condition against your own data volumes, team skills and compliance obligations. The main takeaway is that OpenSearch wins on data location and cost control, while Sumo Logic wins when you need managed operations and ready-made content.
| Scenario | Better fit | Why and when it flips |
|---|---|---|
| Data that cannot leave your network | OpenSearch | Sumo Logic is a SaaS service, so logs are sent to its cloud. OpenSearch runs in your own data center or air-gapped network. It flips only if a contract or region setting in your environment is approved for the SaaS data location. |
| A team with no cluster operations skills | Sumo Logic | Sumo Logic runs the service for you, while OpenSearch needs someone to size nodes, manage shards, patch and back up. It flips if you can fund a managed partner or trained staff to run the cluster. |
| A team that already runs Kubernetes and search clusters | OpenSearch | Your existing tooling for deployment, monitoring and backup can be reused. Confirm the OpenSearch Kubernetes Operator or Helm path fits your platform standards before committing. |
| A bill that rises with scanned data | OpenSearch | Sumo Logic spend is driven by its credit-based usage model, which you should review with the vendor. OpenSearch has no license fee, so cost shifts to compute, storage and staff time. It flips if your self-run compute and storage costs exceed the subscription for your retention needs. |
| A need for vendor-managed uptime | Sumo Logic | Sumo Logic carries the availability of the hosted service under its terms. With OpenSearch, uptime depends on your high availability design and on-call rota. It flips only if you can meet your uptime targets with a multi-node cluster you operate. |
| A need for Sumo Logic's out-of-the-box apps and content | Sumo Logic | Sumo Logic ships prebuilt apps and dashboards for many sources. OpenSearch Dashboards gives you a blank canvas, so you must build or import content. It flips if your sources are mostly custom and you plan to build dashboards in-house. |
How query language, dashboards and alerts compare in daily use
Sumo Logic and OpenSearch both give analysts search, dashboards and alerts, but the query language, dashboard model and alert workflow differ enough that existing content will not move across unchanged. The cards below cover where the effort sits and what to test before committing to a migration plan.
Query language and search syntax
Sumo Logic uses its own query language with pipe-based operators, while OpenSearch uses its query DSL, a JSON request format, along with SQL and PPL options that you must confirm in your version. Every saved search, parser and field extraction written in Sumo Logic syntax has to be translated by hand or with tooling, and some operators will have no direct equivalent. Test your top 20 searches on sample data and record which ones return the same results before you decide.
Elastic API compatibility
OpenSearch is wire-compatible with Elasticsearch 7.10 REST APIs, so clients, scripts and tools built against that API may keep working with limited changes. This matters if your team already runs Elastic tooling or Beats shippers. Confirm each client library and ingestion agent against the OpenSearch version you plan to run, since compatibility covers the REST layer and not every Elastic feature.
Dashboards and visualizations
Sumo Logic dashboards are managed in the service, with panels, variables and scheduled refresh configured in the browser. OpenSearch Dashboards is derived from Kibana 7.10.2, so visualizations, saved objects and index patterns follow a different model. Expect to rebuild most dashboards, and check that every panel type you rely on exists in the version you deploy before you plan the rebuild.
Alerting and monitors
Sumo Logic monitors run on schedules and send notifications through its managed integrations. In OpenSearch, alerting and anomaly detection are plugins with their own monitor definitions, triggers and notification channels, which you configure, version and back up yourself. Map each Sumo Logic alert to an owner, a threshold and a destination, then test that notifications fire during a failure drill, not only in a demo.
Saved searches and sharing
Saved searches, folders and sharing rules in Sumo Logic follow the account's role model. In OpenSearch, saved objects are stored in the Dashboards index and governed by Security plugin roles and tenants, so access rules must be rebuilt alongside the content. Plan a naming and ownership convention before the import, because duplicated or orphaned objects are common when content is moved without a review.
Rebuild effort to budget for
Query translation, dashboard rebuilding and alert rewrites are the largest effort items in this comparison. Ask any implementation partner for a written inventory of searches, dashboards and monitors, then scope the translation work per item. Your own team will still need to validate results against known incidents, since a search that runs without error can still return different results.
Capabilities side by side: Sumo Logic and OpenSearch
This table compares Sumo Logic's managed log analytics with a self-run OpenSearch cluster across licensing, hosting, query, security and upgrades. Where a row says confirm with vendor, the detail is not established by the sources we rely on and should be checked against current Sumo Logic documentation or the OpenSearch release notes before you decide. The main takeaway is that OpenSearch's security features are open and self-configured, while most Sumo Logic operating work is handled by the vendor.
| Capability | Sumo Logic | OpenSearch |
|---|---|---|
| License and editions | Commercial SaaS subscription, credit-based. Confirm current terms with vendor. | Apache License 2.0. The OpenSearch FAQ does not describe a paid edition. |
| Hosting model | Vendor-hosted SaaS only. Confirm available regions with vendor. | Self-hosted in your cloud accounts, data centers or air-gapped networks. |
| Query language | Sumo Logic's proprietary search language. Confirm syntax coverage in Sumo documentation. | OpenSearch query DSL and REST APIs, wire-compatible with Elasticsearch 7.10. Confirm PPL or SQL support for your version. |
| Dashboards | Built-in dashboards in the Sumo Logic web interface. Confirm sharing and export options. | OpenSearch Dashboards, derived from Kibana 7.10.2. Build and maintain dashboards yourself. |
| Alerting | Monitors and scheduled alerts managed by the service. Confirm notification targets with vendor. | Alerting and anomaly detection are plugins you enable and tune. Confirm plugin versions for your release. |
| Authentication | Vendor-managed sign-in with SAML options. Confirm supported identity providers with vendor. | SAML, OpenID Connect, Active Directory and LDAP, Kerberos and JSON Web Token backends via the Security plugin. |
| Role-based access | Role-based access in the Sumo Logic account. Confirm role granularity with vendor. | Role-based access control through the Security plugin, configured by your team. |
| Document and field-level security | Confirm whether document-level or field-level restrictions exist with vendor. | Document-level and field-level security provided by the Security plugin. |
| Field masking | Confirm with vendor. | Field masking provided by the Security plugin. |
| Audit logs | Confirm audit log scope and retention with vendor. | Audit logs provided by the Security plugin. You set where they go and how long they are kept. |
| TLS | Vendor-managed encryption in transit. Confirm details with vendor. | TLS for node and client traffic, configured on your cluster. |
| Installation methods | Not applicable. Accounts are provisioned by the vendor. | Docker, Helm, the Kubernetes Operator, tarball, RPM, Debian packages, Ansible and Windows. |
| Upgrade path | Performed by the vendor. Confirm change notice practice with vendor. | Rolling upgrades from Elasticsearch 6.0 through 7.10 indices. Minor releases about every eight weeks; maintenance covers patches only. |
Where your log data lives and who can reach it
Sumo Logic and a self-run OpenSearch cluster answer the same question, who holds your logs and who can query them, in different ways. The cards below cover where data sits, who operates it, how access is granted, and which compliance questions still need an answer from your own auditor.
Where the data is stored
Sumo Logic stores ingested logs in its managed service, so the region, the hosting footprint and any data location commitments are set by the vendor under its contract. With OpenSearch, you choose the cloud account, data center or air-gapped network, and you decide which regions and facilities hold the indices and snapshots. Ask Sumo Logic for the region and backup locations in writing, and map the same answers for your own environment before you compare.
Sub-processors and vendor access
Logs in a SaaS platform pass through the vendor's sub-processors, support staff and infrastructure providers. Request the current sub-processor list, the support access model and the notice period for changes from Sumo Logic. In a self-run OpenSearch deployment, the sub-processor question shrinks to your own cloud or hosting provider, plus any support partner you grant access to.
Retention you set
Retention in a managed service follows the plan and the vendor's options, so changing it can mean a contract conversation. In OpenSearch, retention is an index lifecycle decision: you choose how long hot, warm and archived data stays, how snapshots are kept, and when data is deleted. Document the retention periods your regulators expect and confirm that your snapshot repository follows the same rules.
Identity and access controls
The OpenSearch Security plugin provides role-based access control, document-level and field-level security, field masking, audit logs and TLS for node and client traffic. It also integrates with SAML, OpenID Connect, Active Directory, LDAP, Kerberos and JSON Web Token backends. Map your existing identity provider and access reviews to OpenSearch roles, and confirm that audit logs flow to storage you control.
Compliance scope and evidence
Moving logs into your own stack moves audit evidence into your own stack too. Confirm with your auditor which frameworks apply, how the logging, retention and access controls will be assessed, and which evidence they expect from the vendor versus from you. DeployOpen can prepare controls, configurations and evidence for that review, but it does not issue audit reports, attestations or certifications, and an independent auditor or certification body makes that determination.
Operating the platform securely
Self-hosting makes your team responsible for patching, certificate rotation, network segmentation and hardening that a SaaS vendor otherwise handles. OpenSearch's maintenance policy covers bug fixes and security patches for supported versions, but you must schedule the upgrades and test them. Decide who owns these tasks, how privileged access to the cluster is logged, and whether an outside party will be granted administrative access.
Which security features you get in OpenSearch and what you must still build
The OpenSearch Security plugin covers the access control and transport layer that a log platform needs before any detection work starts. It provides role-based access control, document-level and field-level security, and field masking, so you can limit which users see which indices, documents and fields, for example hiding personal data in a field from analysts who only need event counts. It also supports user impersonation, audit logs and TLS for node and client traffic. Authentication can run through SAML, OpenID Connect, Active Directory, LDAP, Kerberos or JSON Web Token backends, which lets you connect the cluster to your existing identity provider. Sumo Logic's own role and access model is managed by the vendor, so the first task is to write down how your Sumo Logic roles and data access rules map onto OpenSearch roles, index patterns and field rules.
Those controls do not give you detection. Detection content, threat intelligence feeds and correlation rules are not included by default in OpenSearch Dashboards or the Security plugin, so the alerting you had in Sumo Logic Cloud SIEM must be designed, written and tested by your team or an implementation partner. Each detection needs a data source, a logic definition, a severity, an owner and a response path. Feeds of indicators also have to be selected, licensed where required, and loaded on a schedule you control. Ask for a written inventory of the rules your Sumo Logic environment runs today, then decide which ones you rebuild, which you drop and which you replace with a different tool.
Treat each Sumo Logic security feature as a control with a named owner. Assign someone to access management, someone to detection content, someone to audit log review and someone to certificate and TLS maintenance, then record how each one will be verified. Run a proof of concept that replays a representative sample of real events through the new cluster and checks that masked fields stay masked for restricted roles, that audit entries are written and forwarded, and that alerts fire on the scenarios you care about. For a platform that also covers endpoint or host security, the sibling Sumo Logic vs Wazuh comparison describes the agent-based side of the picture.
The operating work Sumo Logic hides from your team
This sequence lists the recurring engineering work that a managed service absorbs today and that a self-run OpenSearch cluster hands to your team, with an owner and a closing check for each step.
Assign an owner for each operating step
Before choosing hardware or an install method, name one accountable owner for each area below: sizing, installation, high availability, index lifecycle, backup, patching and monitoring. Most teams split these between platform engineering, the security operations lead and whoever carries on-call. The step is done when every area has a named person, a backup owner and a documented on-call path, and leadership has accepted the staffing that follows from that list.
Size and tune the cluster
The platform owner estimates daily ingest, retention per data stream, query concurrency and dashboard load, then sets node counts, heap, shard counts and storage tiers to match. Sumo Logic hides this decision behind credits, so the team must measure its own volumes and test them against realistic query patterns before go-live. The step closes with a load test report that shows indexing and search latency under peak ingest, which becomes the baseline for every later capacity change.
Choose the installation method and standardize it
OpenSearch documents installation with Docker, Helm, the OpenSearch Kubernetes Operator, tarball, RPM, Debian packages, an Ansible playbook and Windows. The platform team picks one method that matches its existing tooling and records it in version control, including security configuration such as TLS and the Security plugin settings. The step is complete when a new node can be rebuilt from code alone and the same build passes in a non-production environment.
Design high availability and node roles
The platform owner decides how many nodes, which roles they carry, how replicas are placed across failure domains, and how the cluster behaves when a node or zone is lost. Confirm the design against the OpenSearch cluster guidance and your own failure tests rather than assumptions. The step closes when a planned node failure has been simulated and the cluster has recovered without data loss, and the results are filed with the architecture document.
Set index lifecycle and retention rules
The data owner writes index lifecycle policies that move data from hot to warm or cold storage, roll over indices and delete them when retention expires. Retention must match the obligations recorded for each log source, which is where compliance and legal input matters. The step is done when each data stream has a documented policy, a test shows an expired index is removed as intended, and storage growth is projected against the sizing from the earlier step.
Build and test backup and restore
The platform owner configures snapshot repositories on storage you control, sets a schedule, and keeps snapshots outside the failure domain of the cluster. A restore is only proven when someone performs one into a separate cluster and checks document counts and key searches. The step closes with a signed restore test record and a runbook that another engineer could follow during an incident.
Patch on the release cadence and track end of life
OpenSearch targets a new minor version about every eight weeks. Version 3.8.0 was released on August 4, 2026 and 3.9.0 on September 29, 2026. Maintenance versions receive bug fixes and security patches but no new features, and each version stays in maintenance only until the next major version enters maintenance or one year passes, whichever is longer. The owner keeps a version calendar, schedules rolling upgrades in a staging cluster first, and records the end-of-life date for every running version. The step is done when the running version is inside its support window and a rollback path has been tested.
Monitor the cluster and the pipeline
The operations owner watches cluster health, node resources, indexing and search latency, disk pressure, snapshot success, and whether collectors are still delivering events. Alerts go to an on-call rota, not to a shared mailbox. Ask your partner or vendor to confirm which metrics the platform exposes out of the box and which need extra exporters. The step closes when each alert has a named responder and a runbook, and a test alert has been acknowledged within the agreed on-call process.
What drives the cost of each option over time
On the Sumo Logic side, the buyer pays a subscription and consumption charges that are defined by the contract, not by the product page. Ask the vendor to spell out how ingested data, scanned data, retained data and any add-ons (such as Cloud SIEM or additional retention tiers) are metered and billed, and which of those meters grow with query activity. Each search, dashboard refresh and scheduled monitor can increase scan consumption, so the recurring bill tends to rise as more teams and rules are added. Over time, the cost drivers are log volume, the number of searches and monitors, retention length and the price terms negotiated at renewal. Confirm the exact unit definitions and overage terms in writing before comparing totals.
On the OpenSearch side, the software carries no license fee, because OpenSearch is released under Apache License, Version 2.0. The costs move to the infrastructure and people that run it: compute and memory for indexing and queries, storage for hot and older indices, network traffic, snapshot backups, and the staff time and on-call coverage that keep the cluster healthy. Outside support, if you buy it, is a separate recurring line. Much of the work is one-time: architecture, index and retention design, log pipeline setup, and rebuilding searches, dashboards and monitors. Much of it recurs: applying minor releases (OpenSearch targets a new minor version about every eight weeks, and each version is maintained for a limited window), patching, capacity planning and index lifecycle review. Keep the security configuration on the same list, since the Security plugin's roles, audit logs and TLS settings need periodic review.
When requesting a quote from any implementation partner, ask for the written scope and the assumptions behind it: the log sources and daily volume estimate, the retention period for hot and archived data, the high availability design (node count, zones and snapshot target), who performs each upgrade and how long rollbacks are kept, and whether on-call and monitoring are included or left to your team. Ask for one-time and recurring costs to be shown separately, and for the assumptions on search load to be stated, because query traffic is what most often moves a self-hosted cluster from one size to the next. Compare that quote with your current Sumo Logic invoice using the same retention and the same sources, and confirm your export position first, since the Sumo Logic export documentation sets limits on bulk CSV downloads that affect how much history you can move.
What a move from Sumo Logic to OpenSearch involves
The sequence turns an undocumented pile of collectors, searches and dashboards into a tested OpenSearch deployment, with Sumo Logic kept running until the new path has been checked against real data.
Inventory sources, collectors and searches
Your team lists every log source, every Sumo Logic collector and source definition, every saved search, dashboard, scheduled search and monitor, and the people who depend on each one. Record the daily volume per source, the retention each data set needs and which compliance obligations rely on it. The output is a single inventory that marks each item as rebuild, retire or replace with a different tool. Ask your Sumo Logic administrator for an export of the configuration, since hand-built lists tend to miss items that exist only in shared folders or personal searches.
Design the cluster and the security model
DeployOpen or your platform team sizes the OpenSearch cluster for the inventoried volume and retention, choosing node roles, shard layout, snapshot storage and high availability with your own hosting or data center in mind. The security model is planned in the same pass: the Security plugin's roles, document and field-level security, field masking, audit logs and the identity backend you will use, such as SAML, OpenID Connect or LDAP. The output is a written design document and an installation plan, with the install method chosen from the options OpenSearch documents, such as Docker, Helm, the Kubernetes Operator, tarball or packages. Confirm the exact supported versions on the OpenSearch releases page before you commit.
Run a proof of concept with representative data
Stand up a non-production cluster and send a representative slice of logs through the same collectors you plan to use in production. Rebuild the highest-value searches and one or two dashboards, then compare results against Sumo Logic for the same time range. Test alerting end to end, including the notification path to your ticketing or paging tools, and test a failure, such as a node restart, to see how the cluster recovers. The output is a signed-off list of gaps, such as query functions that translate differently, along with the fixes or workarounds for each.
Dual-ship from collectors during cutover
Reconfigure the log shippers so each event goes to both Sumo Logic and OpenSearch at the same time. This keeps the old path complete while the new path fills and lets your analysts compare results for every live source. Track ingestion lag, dropped events and parsing differences per source, and fix field mappings before any consumer depends on them. The output is a cutover checklist where each source is marked as matching, with the date and the person who verified it. Dual shipping roughly doubles the collector egress for the cutover period, so check that your network and cost model can absorb it.
Forward new data and export history in ranges
Use Sumo Logic data forwarding to send newly ingested logs to your object storage, where a loader or pipeline feeds OpenSearch for the period after the cutover. Historical data needs a separate plan because forwarding does not backfill older events. For history, run searches over shorter time ranges and export each one as CSV from the browser, since a single export is limited to 100,000 rows. Splitting ranges means more searches and more manual steps, so the effort grows with the number of days and the number of data sets to keep. The output is a retained archive with an index of which ranges were exported and how each file was checked. Confirm the forwarding setup and export limits in the Sumo Logic documentation for your account tier.
Rebuild dashboards and monitors
Recreate each dashboard and monitor from the inventory in OpenDashboards and the OpenSearch alerting features, translating query syntax and thresholds. Start with the items that feed compliance evidence or on-call response, then move to lower-priority reporting. Each rebuilt item is compared with its Sumo Logic counterpart over the same period, and owners sign off that the output matches what they expected. The sibling migration page on moving from Sumo Logic to OpenSearch covers the translation details. The effort depends on the number of searches and dashboards in your inventory, so ask for that count before agreeing on a scope.
Retire the old path after validation
After dual-shipping has run through a full review cycle and every dashboard, monitor and compliance report has been signed off, remove the Sumo Logic collectors and stop forwarding. Keep read access to the Sumo Logic account until the retention commitments for archived data are met, and confirm the archive is readable from the new platform. Update runbooks, access reviews and the vendor contract. The output is a closure record that lists each retired source, each archive location and the owner of the new operating procedures, which you can show to auditors or internal reviewers.
Questions buyers ask before choosing OpenSearch over Sumo Logic
How much effort does a self-run OpenSearch cluster take to operate?
Running OpenSearch is ongoing work, not a one-time install. The effort scales with the number of nodes, the daily data volume, the retention you set and how many teams query the cluster. Your team carries capacity planning, index lifecycle policies, snapshot and restore testing, node failure handling, version upgrades and security patching. Sumo Logic carries most of that work for you as a managed service, so the difference in operating load is the main thing to weigh. Ask your own platform team to estimate hours per month against your planned volume before you compare the two.
What staff does an OpenSearch deployment need?
You need people who can own the cluster, the data pipeline and the security configuration. In practice that means an engineer for the cluster and its upgrades, someone who owns collectors and ingestion, and a security owner who manages roles, tenants and audit logging through the Security plugin. Search and dashboard authors on the security or operations side also need training in the query language. Small teams often combine these roles, which works only if one person has time for on-call duty. Confirm these roles with your own headcount plan before committing.
Can our team run OpenSearch without outside help?
A capable platform team can run OpenSearch alone, provided it has the time, skills and on-call coverage to handle cluster health, upgrades and incidents. Outside help is most useful for the first deployment, hardening, migration and periodic reviews, when the team is still learning the platform. DeployOpen plans, implements, hardens, backs up, upgrades, documents and supports self-hosted open-source platforms in your own infrastructure, and ongoing support and upgrades are available as retainers. Engagements are fixed-scope, with scope, deliverables and timelines agreed in writing before work starts.
How long does a migration from Sumo Logic to OpenSearch take?
The duration depends on the number of data sources and collectors, how many searches and dashboards need rebuilding, how much history you must keep, and how many teams must validate their alerts. Collector changes and dual shipping during cutover add work that scales with the source count. Historical data is a separate track, because Sumo Logic's browser CSV export is capped at 100,000 rows per search, so long histories need many shorter-range exports. DeployOpen sets a timeline in the written scope after reviewing your environment, so ask for that scope before planning dates.
What do we have to provide during an OpenSearch project?
The project depends on named owners for logging sources, the security use cases, and the dashboards and alerts that matter to each team. You also need read access to existing Sumo Logic searches, dashboards and monitors, access to the target infrastructure, and a change window for collector cutover. Name one decision-maker who can sign off on scope changes, since delays usually come from unresolved ownership rather than technical work. Confirm these inputs in the written scope so both sides know what has to be ready before work starts.
Does OpenSearch have a paid edition or a license fee?
OpenSearch is licensed under the Apache License, Version 2.0, and all software in the project is released under that license. The OpenSearch FAQ does not describe any paid edition, so there is no license fee to pay for the software itself. Your costs are infrastructure, storage, staff time and any outside support you choose to buy. Ask any vendor that offers a commercial OpenSearch distribution to show you exactly which features are paid and in what license terms, since that is outside what the project's own FAQ describes.
How do we get our history out of Sumo Logic?
Historical data needs its own plan, because it leaves Sumo Logic through different routes than new data. Browser CSV downloads are limited to 100,000 rows per search, so you split large exports into multiple searches over shorter time ranges. Data forwarding covers newly ingested logs to Amazon S3 or Google Cloud Storage, but it does not move history that was already ingested. Decide early which history you actually need for audit, investigation or compliance, since that choice drives both the export effort and the storage you must provision. The documented exit routes are described in our guide on exporting data from Sumo Logic.
Does DeployOpen issue audit reports for our OpenSearch setup?
No. DeployOpen prepares systems, controls and evidence for compliance assessments, but it does not issue audit reports, attestations or certifications. Independent auditors and certification bodies perform those assessments. DeployOpen can configure access control, audit logging, TLS and documentation that your auditor will review, and it can run security testing on the platform. Agree with your auditor early which evidence they need, so the readiness work matches what the assessment will ask for.
How DeployOpen helps you evaluate, implement or migrate
DeployOpen is a Chainscore Labs company that plans, implements, hardens, backs up and documents self-hosted open-source platforms inside your own cloud accounts, data centers or air-gapped networks. For Sumo Logic vs OpenSearch, we work from your current Sumo Logic searches, collectors and retention needs to a self-run OpenSearch cluster you control.
How we scope
- We inventory your Sumo Logic collectors, log sources, dashboards, monitors and retention requirements before any design work starts.
- Engagements are fixed-scope, with the OpenSearch topology, data location, authentication and deliverables agreed in writing first.
- We confirm which Sumo Logic query language features your team relies on so searches can be mapped or rebuilt accurately.
How we build
- We size and deploy an OpenSearch cluster in your environment using the install method your platform team prefers.
- We configure the Security plugin for SSO through SAML or OpenID Connect, role-based access, field-level security and audit logs.
- We rebuild dashboards and alerting in OpenSearch Dashboards and test alert routing against real notification targets you provide.
How we hand over
- You receive documentation of the cluster design, index lifecycle settings, access roles and backup procedures.
- We deliver a mapping of each Sumo Logic search, dashboard and monitor to its OpenSearch equivalent, with gaps listed.
- We run knowledge transfer sessions so your operators can run upgrades, scaling and incident response without us.
How we support
- Ongoing support, upgrades and continuous testing are available as retainers after handover.
- Retainers can cover tracking of OpenSearch minor releases and maintenance-window planning for your cluster.
- Confirm with us during scoping which support hours, response paths and upgrade responsibilities the retainer includes.
