Operations | Monitoring | ITSM | DevOps | Cloud

Monitor Apache Ignite with Datadog

Apache Ignite is a computing platform for storing and processing large datasets in memory. Ignite can leverage hardware RAM as both a caching and storage layer to serve as a distributed, in-memory database or data grid. This allows Ignite to ingest and process complex datasets—such as those from real-time machine learning and analytics systems—in parallel and at faster speeds than traditional databases supported by only disk storage.

Distributed Tracing Tools and New Industry Standards

Metrics and logs have been around for a long time, yet we haven’t adopted common standards for them. Sure, there have been attempts on the metric side with OpenMetrics. Similarly, tracing only got a standardization effort with OpenTracing just a few years ago. There was no effort in a unified approach to standardize all observability signals until OpenTelemetry began a little less than two years ago. And there has been a need.

G2 Crowd Users Rank Uptime.com Best in Support and Most Likely to Recommend

Uptime.com has been ranked #1 in Customer Support, and has been voted Most Likely to Recommend by the G2 Crowd Community. These terrific achievements cap off a year of activity and updates that have helped Uptime.com remain a market leader in IT alerting and web monitoring solutions. With top scores in IT Alerting and Web Monitoring, Uptime.com continues to grow alongside our userbase to create the most powerful and accessible web monitoring platform.

Adding preventive revocation alerts to our certificate monitoring

As part of our SSL certificate monitoring, we check a lot of things. The usuals, like if it covers the right domain name or if it hasn't expired are, of course, already included. But SSL certificates can get quite complex. Sometimes, SSL certificates get revoked by the issuer. When that happens, browsers worldwide stop trusting them and will throw an invalid certificate warning.

How To Deploy Artifactory via Operator in Openshift - John Peterson, Senior Partner Engineer, JFrog

In this lightning talk you will learn the basics of k8s operators and how they work in the Openshift environment. We will also go over the Openshift Operator Lifecycle and explain the stages and steps that take place to get the operator from the OperatorHub and deploy it into your Openshift environment. A demonstration will be done showing Artifactory being deployed into a new Openshift cluster to provide a learning experience on how Artifactory can quickly and easily be deployed into Openshift. Finally we will have a Q&A session to help answer any questions you may have about the integration and how you can use it.

Let's Dive In: JFrog Unified Platform and Splunk - John Peterson, Senior Partner Engineer, JFrog

In our lightning talking will we cover the JFrog Unified Platform integration with Splunk for a wholistic analytics view into the unified platform logs. Combining the two best of breed applications makes tremendous sense for an enterprise without it valuable data insights are lost as well as any action the business might have taken. We will cover how to setup this integration, valuable data insights that can be gained, and how you can extend this integration to discover all new data insights you will wished you always had.

Becoming Hybrid: Operating Your Cloud Environment

It’s a day for celebration! Our migration is complete, and our applications are now running in the cloud environment best suited to their needs. The rest of our application inventory, the ones not cut out for the cloud, remain on-premises where they belong. Actually…we’re not done yet. We still have some work to do to make sure our hybrid environment runs smoothly and delivers the business value we expect. Fortunately, we aren’t the first ones to travel this path.

Stretch Your Reach with Unified JFrog Data and Elastic

DevOps teams rely on Artifactory as the bread and butter tool of universal binary repo managers, but observing its operations can be challenging. With multiple high availability nodes and unification with Xray as the JFrog DevOps Platform, that operations data is spread out across logs for each service in the JFrog Platform deployment. Operations teams need a view into valuable data insights that can only be gained through real time data mining and observation of the platform.