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Testimonials
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.
I was impressed with the amount of professionalism, communication, and speed of delivery.
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.
They are very knowledgeable in their area of expertise.
From my experience, working with MeteorOps brings high value to any company at almost any stage. They are uncompromising professionals, who achieve their goal no matter what.
We were impressed with their commitment to the project.
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.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
They have been great at adjusting and improving as we have worked together.
Nguyen is a champ. He's fast and has great communication. Well done!
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
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.
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Free Project Planning: We dive into your goals and current state to prepare before a kickoff.
Pay-as-you-go: Use our capacity when you need it, none of that retainer nonsense.
Experts On-Demand: Get new experts from our team when you need specific knowledge or consultation.
We Don't Sleep: Just kidding we do sleep, but we can flexibly hop on calls when you need.
Ad-hoc Calls: When a video call works better than a chat, we hop on a call together.
How it works?
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.
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.
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.
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.
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
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
