Operations | Monitoring | ITSM | DevOps | Cloud

ChaosSearch

2022 Year in Review

If you are like me, I always look forward to reading (here writing) a company's Year in Review and this year is no different. However, as I reflect back on 2022, I realized we achieved a five year anniversary. An anniversary of completing a very big vision of transforming customer’s cloud object storage such as AWS S3 into the first stream-based Search+SQL Analytic Database. Initially providing access via the Elastic (Search) API, then Presto (SQL), at scale and in production.

Optimizing the AWS CloudWatch Log Process

Amazon’s native monitoring and management service AWS CloudWatch is great for basic monitoring and alerts. However, on its own, it may not be the best solution for analyzing log data at scale — especially if you need to analyze data outside of AWS. Many teams may find themselves restricted by retention issues and basic analytic features with Amazon CloudWatch logs for troubleshooting use cases.

ChaosSearch re:Invent 2022 | theCube

At ChaosSearch we transform customer's #AWS #S3 into a Stream-based Search+SQL hot analytic database. Hear how we work with S3 to provide the most simple, scalable and cost-efficient: All on one unified platform (S3 + Chaos = Better Together). Great to see Ed Walsh, Kevin Miller, and David Vellante on the SiliconANGLE & theCUBE at #reinvent2022!

Three Key Considerations for Deploying Best-of-Breed Observability | AWS reInvent 2022, Ed Walsh

Organizations today need a broad set of cloud services to modernize their applications, keep their systems secure, and ultimately deliver for their customers. At the same time, application-generated operational data is complex, constantly growing, and coming from a variety of sources. This complexity requires a robust plan to ensure its availability for observability and analytics at scale. With today's solutions, TCO can vary wildly, which makes it critical to understand how costs are generated and quickly mount, including deploying your infrastructure, managing ongoing operations, managing data retention, scaling the stack, and building growth plans. Watch this lightning talk to learn about the three key considerations for success.

The Basics of Using AWS EventBridge for Observability

As you adopt modern, serverless, microservices-based architectures, it can become more challenging to monitor and understand the state of your applications at any given time. That’s where event bus capabilities from services like Amazon EventBridge can come in handy. AWS EventBridge can help you build loosely coupled, event-driven architectures and applications, and deploy new features faster.

The Human Element of Tech Development

Opportunities for growth are all around us, but it takes the ability to be open and an eager growth mindset to see them. In this episode, David Noblet, Co-Founder + Chief Architect at ChaosSearch, shares how he and his team find innovative ways to improve digital services for their clients by constantly taking inspiration from their daily lives.

How to use Cribl Stream and ChaosSearch for Next-Gen Observability

The market for enterprise observability solutions is growing in 2022, as organizations search for more effective ways to maintain security and oversight of increasingly complex and distributed IT systems. Traditional observability solutions like Splunk, Datadog and New Relic are still widely used by enterprises to analyze logs, metrics, and traces from their IT environments. But as enterprises generate increasing volumes of log data, two things tend to happen.

How to Index and Process JSON Data for Hassle-free Business Insights

If your IT department is generating a tsunami of JSON-based log and event data, ChaosSearch® JSON Flex® can fast-track automatic, flexible indexing for custom insights of your valuable business data. JavaScript Object Notation (JSON) has become the de facto standard for log and event data created by business applications and services. The easy-to-read, semi-structured format can hold a wealth of information and statistics.

Understanding the Three Pillars of Observability: Logs, Metrics and Traces

Many people wonder what the difference is between monitoring vs. observability. While monitoring is simply watching a system, observability means truly understanding a system’s state. DevOps teams leverage observability to debug their applications, or troubleshoot the root cause of system issues. Peak visibility is achieved by analyzing the three pillars of observability: Logs, metrics and traces.