It’s time to stop firefighting. With Sumo Logic’s AWS Observability, companies like Snoop have been able to simplify data collection, achieve unified visibility across AWS accounts and regions and leverage machine learning to troubleshoot — fast. This re:Invent, we’re excited to showcase how our capabilities for AWS have evolved.

The open-source Kubernetes platform has become the de facto standard for deploying, managing, and scaling containerized services and workloads. In fact, 83% of DevOps teams are using Kubernetes to deploy containerized applications in production, taking advantage of its workload orchestration and automation capabilities to optimize the software development process and reduce web server provisioning costs.

A Global 1000 E-commerce company struggled with the rapid growth in telemetry data that their security team analyzes with Splunk, Grafana, and other Observability tools in the cloud. Specifically, the increase in VPC Flow log and Firewall log volumes caused a spike in Splunk costs on certain data sets and triggered daily indexing limit overage fees. As this deluge of data began piling up in block storage within their Splunk index, the team saw corresponding spikes in storage costs.

A large, global Data Management and AI software company with over 5,000 customers across more than 100 countries had seen unprecedented growth (more than 30% year over year) in telemetry data from their multi-cloud infrastructure being sent to the Elasticsearch Observability and SIEM Platform. The growth of this data contributed to a multi-million dollar price tag for Elasticsearch.

In the realm of modern software development, achieving true observability is paramount for understanding application behavior and performance. This demonstration focuses on a.NET application that harnesses the capabilities of OpenTelemetry to seamlessly integrate logging and tracing functionalities. OpenTelemetry, a key player in the Cloud Native Computing Foundation, provides a unified framework for comprehensive observability.

How to build a pipeline to convert logs to metrics and ship them to long term storage like Levitate.

Parsers make it easier to dig deep into your data to get every byte of useful information you need to support the business. They tell Graylog how to decode the log messages that come in from a source, which is anything in your infrastructure that generates log messages (e.g., a router, switch, web firewall, security device, Linux server, windows server, an application, telephone system and so on).

Developers and SREs choose to host their applications on Google Cloud Platform (GCP) for its reliability, speed, and ease of use. On Google Cloud, development teams are finding additional value in migrating to Kubernetes on GKE, leveraging the latest serverless options like Cloud Run, and improving traditional, tiered applications with managed services. Elastic Observability offers 16 out-of-the-box integrations for Google Cloud services with more on the way.

Here at Logz.io, we realize Kubernetes is the most common infrastructure component that organizations are running on to keep their applications going. In return, we’ve made a big investment to support Kubernetes properly and give customers the tools they need to investigate and troubleshoot any issues that arise.

Amazon Web Services (AWS) VPC Flow Logs is a feature designed to capture and provide information about the IP traffic that flows to and from network interfaces within your Virtual Private Cloud (VPC). This data can be published to various destinations, including AWS CloudWatch Logs, AWS S3, or AWS Kinesis Data Firehose. Flow logs serve several important purposes, such as diagnosing security group rule issues, monitoring incoming and outgoing traffic, and determining traffic directions.