Blog

Opster’s Quarterly Feature Spotlight – Q2-2022

As we finish up another amazing quarter of 2022, we’re happy to share some of Opster’s highlights from the last few months and a sneak peak of what’s in the the pipeline. Quarter Feature Highlight …

Launching Open-Source Operator for OpenSearch

With powerful capabilities for orchestration & management of OpenSearch clusters. The Operator is led by Opster with partners including SUSE Rancher, Maibornwolff, Logz.io, OpenSearch, and more. The OpenSearch Operator is fully open-source, licensed as Apache…

How to Improve Performance in Elasticsearch When Your Cluster Is Loaded

Elasticsearch users often work with one primary cluster for all operations, even if they actually require a second backup cluster. If a backup cluster exists, it will usually sit idle while the primary cluster handles…

Opster’s 2021 Review & What’s Ahead

As we kick off 2022, we’re happy to share some of Opster’s highlights from 2021 and some of our upcoming features that will be released this year.  In 2021 we introduced tons of exciting new…

Managing Elasticsearch with Elastic Cloud – What Does Elastic Provide

Managed Elasticsearch – What does Elastic provide? In this blog we will be covering what Elastic’s managed service covers, and what is not included. If you’re wondering whether to run self-hosted or look for a…

Managing Elasticsearch & OpenSearch – Expectations VS Reality

A Comparison of Elastic, AWS, Consulting Services & Opster Quick links: Overview – options for running and managing Elasticsearch & OpenSearch  Comparison table – what you get from each option What do managed services cover…

Elasticsearch best practices, and mistakes you should avoid from analyzing 3,154 clusters.

Are you making the same mistakes as everyone else?  Elasticsearch users know just how easy it is to misstep when setting up and configuring your system, and what happens when you fail to notice issues…

Announcing Opster’s Support for Opensearch

Opster is proud to announce that it is supporting OpenSearch as part of our continued mission to provide the best products and services available. Our community tools and products now support OpenSearch, as well as…

Self-Hosted Elasticsearch or Managed? Where to Manage your Elasticsearch Infrastructure

Wondering whether to choose Elastic Cloud or AWS? Read a full breakdown of the two options and how they compare with Opster here. What you need to know when choosing where to host Elasticsearch When…

How to Easily Upgrade Elasticsearch Versions

Upgrading versions in Elasticsearch is often a very daunting task, especially when jumping major versions. Users fear downtime, data loss, configuration issues and more, all of which are legitimate risks when upgrading.  One way to…

How to Prevent Downtime in Elasticsearch and Benefit from Active-Active Recovery

When a primary cluster falls in Elasticsearch, the data recovery process is usually initiated, but it might take time to complete. This means that you’ll suffer from downtime in the system and data will not…

How to Ensure Data Recovery in Elasticsearch

It’s always important to have more than one copy of your data, especially if you’re operating a mission-critical Elasticsearch deployment. Should your cluster fall or become unavailable for any reason, it’s possible to maintain service…

How to Solve “Noisy Neighbor” Issues in Elasticsearch

A common issue many multi-tenant Elasticsearch deployments face is having a “noisy neighbor” – a certain customer interfering with the service and user experience of another customer on the same cluster. In cases like these,…

How to Scale Elasticsearch with Multiple Users and Tenants

Hosting too many tenants on a single Elasticsearch cluster adds unnecessary load to your system. With too many shards, indices and nodes, cluster state and metadata become far larger than is optimal. Master nodes can’t…

How to Optimize Search Performance and Eliminate Latency in Elasticsearch

One of the most difficult issues to manage and resolve in Elasticsearch is poor search performance and search latency. To optimize Elasticsearch search performance, you need to find the heavy and slow searches in your…

How to Correctly Identify Slow and Heavy Searches in Elasticsearch

A heavy search is a search that consumes many resources in the cluster (like memory, disk bandwidth, CPU and network) and which causes latency in Elasticsearch. Heavy searches are not to be confused with a…

How to Locate Which Elasticsearch Users are Slowing Down Searches

When viewing Elasticsearch searches, it’s very difficult to derive actionable insights without knowing which of your users searched for what. Assigning which searches belong to which users is a crucial step towards improving search performance…

Finding Searches that are Slowing Down your Elasticsearch Cluster

It can be very difficult to understand what is going with your searches in Elasticsearch. Without visibility, you can’t get a clear picture of what is happening in your system, which searches are slowing it…

Announcing SOC 2 Compliance: Ensuring the Highest Standards of Security

As it continues to stride forward with new products and services, Opster is committed to ensuring and protecting the privacy of its clients and their data. Opster has always prioritized the trust of its clients…

High Availability in Elasticsearch – Cross Cluster Replication and Alternatives

How to Achieve High Availability in ES – Cross Cluster Replication, Load Balancer Approach and Snapshots (/Backup and Restore) Last Updated : August 2020 High availability in Elasticsearch, as well as data recovery, are two…