Operations | Monitoring | ITSM | DevOps | Cloud

Latest Posts

Centralizing infrastructure metrics and planning for scale with the Elastic Stack

This post is the second in our series on system metrics where we cover: In the previous post, we went through some built-in tools and methods for identifying key metrics and values on your systems. In this post, we'll provide a tutorial on how to use Metricbeat to consolidate metrics, store and analyze them in the long term, and discuss some of the benefits of a centralized metric store.

Virtual Elastic{ON} Gov Summit: Mindsets, solutions, and user stories for the future

We hosted our first ever virtual Elastic{ON} Gov Summit with one primary goal: recreate the collaboration and community-building we normally enjoy at our in-person Gov Summit in a new, virtual format. And we were humbled to be able to do just that. The event gathered more than 2,000 registered attendees from across government agencies and partners to collaborate while so many of us were social distancing across the nation.

Searching Google Drive: Better collaboration with Elastic Workplace Search

While Google G Suite is an indispensable productivity and collaboration tool for modern businesses, all too frequently content tends to pile up in the far corners of Google Drive, making content search and discovery difficult. Spending valuable time sifting and searching through tens of thousands of documents to find the right one has become all too common, and most workers spend several hours per week searching for information.

How to add powerful (Elastic)search to existing SQL applications

Elasticsearch has a lot of strengths (speed, scale, relevance), but one of its most important strengths is its flexibility to be added to existing environments without the need for any sort of architectural overhaul. If you are a sysadmin (dev, sec, ops, etc.), you know just how appealing this is. So many legacy systems remain in place not because they are perfect, but because replacing them would cost time and money that you don't have.

Identifying and monitoring key metrics for your hosts and systems

This post is the first in a three-part series on how to effectively monitor the hosts and systems in your ecosystem, and we're starting with the one you use most: your personal computer. Metrics are a key part of observability, providing insight into the usage of your systems, allowing you to optimize for efficiency and plan for growth. Let's take a look at the different metrics you should be monitoring.

Improving search relevance with boolean queries

When you perform a search in Elasticsearch, results are ordered so that documents which are relevant to your query are ranked highly. However, results that may be considered relevant for one application may be considered less relevant for another application. Because Elasticsearch is super flexible, it can be fine-tuned to provide the most relevant search results for your specific use case(s).

How to easily correlate logs and APM traces for better observability

Application performance monitoring (APM) and logging both provide critical insight into your ecosystem. When paired together with context, they can provide vital clues on how to resolve problems with your applications. As the log data you analyze becomes more complex, navigating to the relevant pieces can be tricky using traditional tools. With Elastic Observability (powered by the Elastic Stack), correlating logs with APM is as simple as a few clicks in Kibana.

Searching Salesforce: Boosting your teams' productivity with Elastic Workplace Search

“If it’s not in Salesforce, it didn’t happen.” You’ve undoubtedly heard it, or perhaps you’ve said it yourself. And why not? Over the past 15 years, Salesforce has redefined the CRM industry, becoming the de facto solution for managing sales, customer service, marketing automation, and analytics functions with its cloud-only approach. As Salesforce’s solutions have expanded so has their user base.

Exploring Jaeger traces with Elastic APM

Jaeger is a popular distributed tracing project hosted by the Cloud Native Computing Foundation (CNCF). In the Elastic APM 7.6.0 release we added support for ingesting Jaeger traces directly into the Elastic Stack. Elasticsearch has long been a primary storage backend for Jaeger. Due to its fast search capabilities and horizontal scalability, Elasticsearch makes an excellent choice for storing and searching trace data, along with other observability data such as logs, metrics, and uptime data.

Elasticsearch Service on Google Cloud Marketplace: New ways to purchase and discover

Last year we announced an expanded partnership with Google to bring Elasticsearch Service to even more Google Cloud users. We were also named one of Google Cloud's partners of the year! We've since deepened our partnership, and today we are proud to announce new ways to purchase and discover Elasticsearch Service in the Google Cloud Marketplace. You can now purchase monthly Gold and Platinum subscriptions as well as Standard, Gold, and Platinum annual subscriptions through the marketplace.