PROCESS

How it works?

It's simple!

You tell us about your Elasticsearch needs + important details.

We turn it into a work plan (before work starts).

An Elasticsearch expert starts working with you! 🚀

Learn More

Small Elasticsearch optimizations, or a full Elasticsearch implementation - Our Elasticsearch Consulting & Hands-on Service covers it all.

We can start with a quick brainstorming session to discuss your needs around Elasticsearch.

Elasticsearch Requirements Discussion

Meet & discuss the existing system, and the desired result after implementing the Elasticsearch Solution.

Elasticsearch Solution Overview

Meet & Review the proposed solutions, the trade-offs, and modify the Elasticsearch implementation plan based on your inputs.

Match with the Elasticsearch Expert

Based on the proposed Elasticsearch solution, we match you with the most suitable Elasticsearch expert from our team.

Elasticsearch Implementation

The Elasticsearch expert starts working with your team to implement the solution, consulting you and doing the hands-on work at every step.

FEATURES

🤓 An Elasticsearch Expert consulting you

We hired 7 engineers out of every 1,000 engineers we vetted, so you can enjoy the help of the top 0.7% of Elasticsearch experts out there

🧵 A custom Elasticsearch solution suitable to your company

Our flexibile process ensures a custom Elasticsearch work plan that is based on your requirements

🕰️ Pay-as-you-go

You can use as much hours as you'd like:
Zero, a hundred, or a thousand!
It's completely flexible.

🖐️ An Elasticsearch Expert doing hands-on work with you

Our Elasticsearch Consulting service extends beyond just planning and consulting, as the same person consulting you joins your team and implements the recommendation by doing hands-on work

👁️ Perspective on how other companies use Elasticsearch

Our Elasticsearch experts have worked with many different companies, seeing multiple Elasticsearch implementations, and are able to provide perspective on the possible solutions for your Elasticsearch setup

🧠 Complementary Architect's input on Elasticsearch design and implementation decisions

On top of a Elasticsearch expert, an Architect from our team joins discussions to provide advice and factor enrich the discussions about the Elasticsearch work plan

WHY METEOROPS

Testimonials

What our clients say about us

Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive."

Mike Ossareh

vp of software, ERISYON

You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you"

Maayan Kless-Sasson

Head of Product, iangels

Good consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope.
I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.”

Gil Zellner

Infrastructure Lead, Hourone ai

Working with MeteorOps brings high value to any company at almost any stage.They are uncompromising professionals, who achieve their goal no matter what.״

David Nash

CEO, Gefen ai

We got to meet Michael from MeteorOps through one of our employees. We needed DevOps help and guidance and Michael and the team provided all of it from the very beginning. They did everything from dev support to infrastructure design and configuration to helping during Production incidents like any one of our own employees. They actually became an integral part of our organization which says a lot about their personal attitude and dedication.”

Amir Zipori

VP r&d, TARANIS

Working with MeteorOps was exactly the solution we looked for.
We met a professional, involved, problem solving DevOps team, that gave us an impact in a short term period.”

Tal Sherf

Techops lead, optival

Nguyen is a champ. He's fast and has great communication. Well done!"

Ido Yohanan

EMBIE CLINIC

They are very knowledgeable in their area of expertise."

Mordechai Danielov

CEO, BitWise MnM

I'm impressed with the amount of professionalism, communication, and speed of delivery."

Dean Shandler

Software Team Lead, Skyline robotics

USEFUL INFO

A bit about Elasticsearch

Things you need to know about Elasticsearch before using any Elasticsearch Consulting company

What is Elasticsearch?

Elasticsearch is an open-source, distributed search and analytics engine built on Apache Lucene. It excels at full-text search, real-time data analysis, and scalable search solutions, storing data in a structured format that supports efficient data retrieval. Designed for high throughput and low latency, it's capable of searching and analyzing large volumes of data in near real-time. Elasticsearch is commonly used for log and event data analysis, application search, and analytics across massive datasets. Its RESTful API, easy scalability, and ability to handle complex search queries make it a popular choice for developers and companies needing to sift through and make sense of large data sets quickly and effectively, enhancing decision-making and operational insights.

What is Logging?

Logging is a software development practice in which application data about events, warnings and errors is being saved in an organized manner that allows for a better understanding of that system's operations and a quicker incidents response.

Why use Logging?

Some of the many reasons for using logging tools:

Receive detailed information about what is happening in your code, making it easier to identify and fix bugs.
Track changes to your code and understand how it is being used.
Logging tools can provide information about the performance of your code, helping you identify bottlenecks and optimize performance.
Logging tools can automatically report errors to you or a team, allowing for quick response to critical issues.
Logging can help you meet regulatory requirements for auditing and security.
Handle large amounts of data and easily integrate it into a centralized logging system, making it much more manageable to oversee logs across multiple servers and applications.
Logging can be done at different levels, such as debug, info, warning, error, and critical, so you can filter out or focus on specific types of events.

Why use Elasticsearch?

Advantages of using Elasticsearch:

Elasticsearch is a highly scalable search engine capable of efficiently handling large data volumes with built-in mechanisms to ensure high availability.
Its powerful query language allows for sophisticated search queries and filtering.
The seamless integration with other data storage solutions, such as databases and data lakes, enhances data management.
Elasticsearch's real-time search and analytics capabilities are well-suited for applications requiring rapid and accurate search results.
The support for distributed search enables improved performance through distributed data processing.
Its versatility extends to full-text search, autocomplete, and natural language processing tasks.
Elasticsearch comes with built-in support for machine learning, enabling organizations to explore advanced search and analytics use cases.
Being an open-source tool with a thriving community, Elasticsearch offers organizations full control over their search infrastructure, making it an appealing option for those aiming to avoid vendor lock-in.

Why get our help with Elasticsearch?

Having acquired extensive experience integrating Elasticsearch into numerous projects, we possess the expertise and knowledge required to deliver exceptional Elasticsearch setups. Our achievements include:

Deployment of Elasticsearch on Kubernetes using Helm for streamlined container orchestration.
Performance enhancements through meticulous optimization of sharding and replication strategies.
Implementation of efficient autoscaling mechanisms for Elasticsearch clusters to adapt to fluctuating workloads.
Provision of developer-friendly interfaces for seamless log shipping to Elasticsearch.
Adherence to industry best practices for optimal index management in Elasticsearch.
Creation of insightful dashboards using Kibana for comprehensive log analysis.
Utilization of Prometheus and Grafana for robust monitoring of Elasticsearch clusters

How can we help you with Elasticsearch?

We can provide you with end-to-end help utilizing Elasticsearch for your needs.

Things we can do for your company:

Creation of log analysis dashboards using Kibana
Deployment of Elasticsearch on Kubernetes with Helm
Optimization of sharding and replication to enhance performance
Adoption of best practices for managing indices in Elasticsearch
Provision of easy interfaces for developers to ship logs automatically to Elasticsearch
Monitoring of Elasticsearch clusters via Prometheus and Grafana
Implementation of autoscaling for Elasticsearch clusters

Elasticsearch Consulting