Operations | Monitoring | ITSM | DevOps | Cloud

Learn how Intercom implemented Honeycomb’s distributed traces to learn about production. Kesha Mykhailov, Product Engineer at Intercom joins Honeycomb Developer Advocate Jessica Kerr, and Account Executive Michael Wilde to discuss how Intercom uses distributed traces to streamline their observability workflows, allowing their product engineers to learn about and from their production to increase Intercom’s resilience. Topics include.

Today’s technology leaders are facing a reliability gap. Customers expect their apps to be fast and available. But with Devops and distributed systems driving more speed and complexity, it’s harder than ever to find and fix the reliability risks that can impact customer experience–before it’s too late. To close the Reliability gap, we need a reliability strategy. One that’s proactive, measurable, built-in and automated. We need a reliability management platform.

Learn how to monitor your website to improve uptime and give your users the best possible experience, with our industry-leading tools at Dotcom-Monitor.

Datadog is an observability and security platform that ingests and processes tens of trillions of data points per day, coming from more than 22,000 customers. Processing that amount of data in a reasonable time stretches the limits of well known data engines like Apache Spark. In addition to scale, Datadog infrastructure is multi-cloud on Kubernetes and the data engineering platform is used by different engineering teams, so having a good set of abstractions to make running Spark jobs easier is critical.

Asset infinity’s software eliminates spreadsheet utilization. This system is configured to define all locations, categories and equipment & fixed asset register for all the assets in the hotel premises. It helps in monitoring and tracking every asset. With this hotel asset management software you can do depreciation calculations as well.

Splunk Incident Intelligence is a team-based incident response solution that connects the right on-call staff to the actionable data they need to diagnose, remediate and restore services quickly. Integrated with the Splunk Observability Cloud portfolio of products, it helps you unify incident response, streamline your on-call and ultimately resolve incidents faster.

What are application metrics? Each network device runs applications that consume traffic. However, as a network administrator, it is vital to know which applications consume the most bandwidth or if any application takes up more than its fair share of network traffic. How does Site24x7 allow users to view application metrics? Here's where Site24x7 makes things easier for you. In its NetFlow Analyzer, Site24x7 allows you to view the amount of traffic consumed by each application and the percentage of traffic it uses.

Join us for a high level tour of CircleCI, and learn how to most effectively utilize the platform’s features and capabilities. Every first and third Wednesday, we’ll be offering a technical demo so you can learn best practices and have all your CircleCI questions answered. Topics Covered: How it works: the nuts and bolts of the product Why CircleCI can make developers’ jobs easier and more rewarding How CircleCI can support your security posture by ensuring organizational policies and guardrails are met Greater visibility by surfacing trends and status across your organization

In this webinar, you will learn from real life case studies how to avoid migration roadblocks and how CircleCI is set up to support you in implementing a predictable migration strategy. In addition, Brian O’Halloran, Senior Solutions Engineer, and Zan Markan, Senior Developer Advocate, explain how CircleCI is built differently, and how it can adapt to the needs of your software delivery process.

Pushing data in JSON format to an Apache Kafka topic is very common. However, dealing with messages not having a predefined structure can create some problems, specifically when trying to sink the data via connectors, like the JDBC sink, which require the knowledge of the message structure. Transforming the messages from JSON to AVRO can enforce a schema on messages and allow the usage of a bigger variety of connectors.