Operations | Monitoring | ITSM | DevOps | Cloud

Business metrics are notoriously hard to monitor because of their unique context and volatile nature. Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts in their context. Anodot reduces detection and resolution for revenue-critical issues by as much as 80%. We have your back, so you’re free to play the offense and grow your business.

Shipa and EKS make a perfect combination when deploying cloud native applications across multiple Kubernetes clusters

Bite Size AIOps Knowledge Sessions - Accelerate Incident Resolution with faster root cause analysis and contextual insights and recommendation.

Welcome to The CTO Perspective – discussions on the most current issues in IT Operations. In this talk: Changes in software and infrastructure are the main cause of outages in the modern IT Stack. How do you embrace change without compromising service quality and availability?

Welcome to The CTO Perspective – discussions on the most current issues in IT Operations. In this talk: As enterprises move to hybrid-cloud - are ITSM and ITIL a thing of the past?

You don’t have to choose between cost management and full observability. With Logz.io features Log Patterns, Drop Filters, and Archive & Restore add to cost efficiency. These features are designed to easily identify and filter out that data before indexing it, and then reingest that data if necessary later.

Coralogix is a machine learning-powered log analytics platform built for companies performing CI/CD. Coralogix offers the most extensive alerting mechanism in the logging market integrated with PagerDuty, including built-in PD webhooks, custom webhooks, and automatic resolve notifications.

Sematext Synthetics allows you to collect information on the performance of critical business transactions, resources, load test information, and much more.

IBM Log Analysis with LogDNA is an IBM Cloud service that provides hosted log management using LogDNA. It lets you collect, analyze, and manage logs in a central location without having to provision or maintain your own logging solution. You can forward logs from your IBM Cloud Kubernetes clusters, servers, and applications in as little as three steps. In addition, you can leverage the IBM Cloud to manage the service, set access controls via IAM, and even archive older logs to IBM Cloud Object Storage. When you provision an IBM Log Analysis with LogDNA instance, you get access to a LogDNA endpoint and web UI hosted on the IBM Cloud. Your logs are stored on the IBM Cloud itself, allowing you to colocate your logging service and applications for greater throughput and control. You get the full benefits of LogDNA—including fast log ingestion and searching, over 30 integrations and ingestion sources, and support for dozens of log formats—with the security and convenience of the IBM Cloud.