Elasticsearch Consulting and Implementation Services

Assessment engagements can be applied to either legacy Elastic Stack or Elastic Cloud environments, or third-party products. Includes design recommendations, data ingest and monitoring, patterns and the Elastic Common Schema („ECS“), MITRE ATT&CK™ mapping, alerts, and visualizations for identifying security risks and cyber threat monitoring. May include all Elastic Stack or Elastic Cloud components including Elastic Security, machine learning, Beats, Logstash, and Elastic Endgame, and may also include data mapping from third-party security, network, and cloud products and services. Our Elasticsearch consulting services are tailored to meet your specific needs. Whether you’re just getting started or looking to optimize your existing setup, our expert team will guide you through every step of the process.

Things become more complicated at a large scale, which is why this section is dedicated to correct infrastructure, tools and methods for optimal operations. Considering the specific use case and requirements, we assist you in choosing the optimal number of primary shards, determining how many replicas are needed, and what the best practices settings are needed in order to achieve that. We follow up with benchmark tests in order to make sure requirements are met and performance improves.

Nextbrick’s Offerings In The Search Space

Elastic Security provides prevention, detection, and response capabilities across your IT systems and applications through a unified platform. Define an effective path for selecting, implementing, and supporting your Elasticsearch application. Contact us with your questions about our services or to initiate an engagement with Elastic Consulting. Flex Services let you focus on the tasks within a package that are most important to you. Accelerate search results across any cloud and increase personalization.

Manage all your deployments from a single console, or automate management using our API, CLI, and SDKs. One-click upgrades mean getting the latest version of Elasticsearch and Kibana with no downtime. And with deployment templates, you can easily select the hardware and architecture profiles that best suit your needs. In this section we review the way data is stored in Elasticsearch and review the methods to make search and indexing faster, while keeping disk usage as low as possible. This includes reviewing the correct schema of the documents, how the documents are structured, what the best way to group data into indices is and how to make sure search results are as expected. As for the data considerations aspect, we review the data requirements, how much data is added daily and what the retention policy is.

Self hosted Elasticsearch to Elastic Cloud migrations

The Strategic Architect will help define and drive Elastic strategy within the context of customer’s business and desired outcomes. Description
Consulting session with Elastic and customer team to discuss use case, business requirements, reference architecture and data best practices and sizing methodology for the Elastic Stack or Elastic Cloud. Whether you’re using Elasticsearch for time-series data (e.g., logs) or enterprise search (e.g., E-commerce), we https://matrix-ua.org/news_pageNumber=12.html can help you save precious time and money by using our experience to implement best practices and avoid
unnecessary errors. In the end, you’ll have a well-configured setup and more knowledge to maintain and develop it further. Deploy Elasticsearch for various business use cases, from enterprise search and public website search, to log analytics and security applications. Ingest logs into your managed cluster and explore them in real time using the Logs app.

• May include all Elastic Stack or Elastic Cloud components including SIEM, Machine Learning, Beats, Logstash, and endpoint security, and may also include data mapping from third-party security, network, and cloud products and services.
• Available time may be used on deployment services of the ingestion pipeline (e.g., Logstash, Beats, Elastic Endpoint Security, and data source ingestion).
• In this section we review the way data is stored in Elasticsearch and review the methods to make search and indexing faster, while keeping disk usage as low as possible.
• Then, you can enhance it by way of your own coding knowledge and expertise.