How to upgrade (and why)

Our team of professionals speak human and code. Supporting our users and making them successful is encoded into our DNA.The support team is fully integrated with the Elastic engineering team.

• Support end of life
• Supported platform and software matrix
• Working with Elastic Support
• Working with support: Best practices

Get up and running with the Elastic Stack in minutes. Take your project from experiment to production without hitting scale roadblocks.

• Data ingestion into Elastic Cloud
• Getting started with Elastic Cloud: Elastic Cloud onboarding center

The Elastic Stack — Elasticsearch, Kibana, Beats, and Logstash — powers a variety of use cases. And we have flexible plans to help you get the most out of your on-prem subscriptions.

Our resource-based pricing philosophy is simple — you only pay for the data you use, at any scale, for every use case.

Whether you are looking to manage a single cluster through its development phases or herd a fleet of deployments across multiple use cases in your organization, we have the provisioning, management, and orchestration tools to help you be successful. Simplify operations and increase your productivity with Elastic Cloud Enterprise and Elastic Cloud on Kubernetes — a suite of orchestration products from Elastic, the creators of Elasticsearch.

• Elastic Stack subscriptions
• Elastic license management overview

As an open source company, our team extends beyond our employee base. Whether it's interacting around feature feedback on the forums, incorporating pull requests into our product releases, or swapping stories at meetups, we wouldn't be where we are today without you.

• Community events
• Discussion forum
• Elastic community Slack
• Community home

Our success framework helps you plan for success, calls out things that you should think about while deploying, and recommends continuous improvement. The three journeys provide specific recommendations based on how you use our solutions — all built on the Elastic Stack.

• Customer Success workbook
• Elastic Enterprise Search journey
• Elastic Observability journey
• Elastic Security journey

Information on moving from a self managed Elastic deployment to Elastic Cloud, to Kubernetes, or from another set of tools to our solutions.

• Moving from Splunk
• Restore from a snapshot
• Migrate to Elastic Cloud Enterprise
• Migrate to Kubernetes

Keep up to date for performance improvements, new features, and bug/security fixes. Planning your upgrade is also important. Your data is valuable — make sure to take your time, complete your testing, and get and do it right the first time in production.

• Upgrading: Planning for success
• Upgrading the Elastic Stack
• Zero-downtime production upgrades

If you're searching for a unique solution or service from Elastic or a trusted and skilled Elastic partner, look no further. Elastic consultants have the breadth of experience and deep technical knowledge to help you streamline project timelines and drive business outcomes. We also have a global partner ecosystem that is ready to assist you and the needs of your business. Learn how to harness the power of the different options and become an Elastic expert.

• Elastic consulting
• Business partners
• Elastic training

For an introduction into how data in Elasticsearch is organized into shards, the documentation below teaches you how to deal with unassigned shards and build the skills to understand your cluster at a deeper level.

• How to: Shards
• Allocation explain API
• Disk based allocation settings
• Allocation awareness settings

Things happen. Whether you have a hardware failure, a network failure, or something else you have to be ready. Here are some actions that you should be familiar with before things go bad.

• Restart a non-responsive Elasticsearch node
• Restore from a snapshot
• Retry a failed shard
• Relieve high heap pressure on one node

These resources discuss important operating system, Elasticsearch, and index lifecycle management configurations.

• Important system configuration
• Important Elasticsearch configuration
• Configuring data storage

Collecting diagnostic information, backup and restore, and monitoring are all important second day activities.

• Diagnostics
• Backups: Snapshot and restore
• Monitoring your cluster

Information on securing your Elastic deployment, reporting security concerns, and subscribing to security announcements.

• Security issues
• Security announcements
• Security advisories RSS feed
• Fundamentals of securing Elastic

Elasticsearch is used for many use cases and each deployment can be tuned based on business requirements. Below you’ll find documentation for tuning search speed, indexing speed, Logstash performance, and Beats performance.

• Tune for search speed
• Tune for indexing speed

• Logstash performance tuning

• Filebeat troubleshooting

High heap can be caused by intensive monitoring, high cardinality in fielddata, mapping explosion, completion suggesters, too many shards, heavy search/indexing, etc. See below for information on monitoring and reducing heap use.

• Monitoring your deployment
• JVM memory pressure indicator in Elasticsearch Service
• Avoiding expensive queries
• Avoid over-sharding

The two previous sections are related to tuning the Elastic Stack. These resources are related to improving the way you interact with the stack.

• Avoiding expensive queries
• Auditing queries
• Dealing with rejected bulk indexing
• Elasticsearch slow log

Learn about balancing data protection, performance, and capacity, and then tune your deployment to meet your business needs.

• How to design your Elasticsearch storage architecture for scale
• Store compression in Lucene and Elasticsearch
• Index codec

If you have a timeout error in Kibana or your custom client, have a look at the troubleshooting steps in these documents.

• Elasticsearch slow log
• Avoid over-sharding