Operations | Monitoring | ITSM | DevOps | Cloud

Latest Posts

Data lake vs. data mesh: Which one is right for you?

What’s the right way to manage growing volumes of enterprise data, while providing the consistency, data quality and governance required for analytics at scale? Is centralizing data management in a data lake the right approach? Or is a distributed data mesh architecture right for your organization? When it comes down to it, most organizations seeking these solutions are looking for a way to analyze data without having to move or transform it via complex extract, transform and load (ETL) pipelines.

3 Effective Tips for Cloud-Native Compliance

The ephemeral nature of the cloud has made compliance and security a greater challenge for organizations. The volume of data that companies must collect and retain from their cloud services, depending on their industry, is ballooning fast. According to ESG, 71% of companies believe their observability data (logs, metrics and traces) is growing at a concerning rate. Even so, outcomes are getting worse, not better. Six out of 10 teams are unable to prevent issues before customers are impacted.

How to Use Operational IT Data for PLG

Operational IT data, such as log data and other application telemetry, can play an important role in understanding your users. Leveraging user data to continuously optimize and improve products is a core tenet of product-led growth (PLG). Let’s learn more about PLG, and how IT telemetry data can be used to power strategic growth.

Log Analytics 2023 Guide

As enteprise networks grow larger and more complex, IT teams are increasingly dependent on the enhanced network visibility and monitoring capabilities provided by log analytics solutions. Log analytics gives enterprise Engineering, DevOps, and SecOps teams the ability to efficiently troubleshoot cloud services and infrastructure, monitor the security posture of enterprise IT assets, and measure application performance throughout the application lifecycle or DevOps release pipeline.
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5 Advanced DevSecOps Techniques to Try in 2023

If you're here, you know the basic DevSecOps practices like incorporating proper encryption techniques and embracing the principle of least privilege. You may be entering the realm of advanced DevSecOps maturity, where you function as a highly efficient, collaborative team, with developers embracing secure coding and automated security testing best practices.

How to Create a Dashboard in Kibana

Wondering how to create a dashboard in Kibana to visualize and analyze your log data? In this blog post, we’ll provide a step-by-step explanation of how to create a dashboard in Kibana. You’ll learn how to use Kibana to query indexed application and event log data, filter query results to highlight the most critical and actionable information, build Kibana visualizations using your log data, and incorporate those visualizations into a Kibana dashboard.
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The Right Time to Right-Size Your Observability Process

Every client we meet has been using multiple tools to satisfy their observability needs. We rarely find a greenfield opportunity. As their journey progresses, they have pointed out when the time is right to add ChaosSearch into the fold. There isn't just one symptom; it's usually a combination of things, including high log data volume, unpredictable costs, and ineffective results, to name a few. By the time we talk to clients in this state, the pain and frustration are incredibly high. We created a five-minute video to demonstrate how clients find themselves in this predicament.

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.

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.