Multicloud Cost Reporting Demo
Report on costs across your multicloud infrastructure by service, cloud provider, payer account, linked account, line of business (LOB) and more.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Kubernetes Pod Overprovisioning Demo
See how you can drill into your K8s costs by cluster, node, and pod to isolate Kubernetes pods that have been overprovisioned with memory or CPU and rightsize their resources.
Enable Operational Analytics with Cribl Stream and Snowflake
Every enterprise collects and stores massive amounts of security and observability data but struggles to get value outside of operations and security teams. These datasets can offer enormous value to business operations and enterprise reporting teams if they have access to the data in their toolsets. BizOps needs to optimize batch planning and the enterprise reporting teams need to reconcile how many assets the enterprise owns versus the number it has under support contracts.
How to Manage Aiven for Apache Kafka Parameters
Learn how to manage your Aiven for Apache Kafka® parameters. In this tutorial, we will show you how you can change the default values of your cluster parameters, for example, the “public_access” parameter, which allows access to your cluster from the public internet. We'll demonstrate how to customize your Aiven for Apache Kafka® parameters from the Aiven web console and command line. Find the full list of parameters in the link below and an article about it.
DEVCOM Uses InfluxDB to Connect the Field and the Lab
The U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory (ARL) faces unique challenges in working with data to develop new technologies. It needs the ability to seamlessly analyze data both in the field and in the lab. Connectivity in the field can also be very unpredictable. Without a database that can handle intermittent connectivity, the systems become inefficient and waste time and money.
Monitoring Ruby on Rails with InfluxDB
Time series databases like InfluxDB are databases that specialize in handling time series data, which is data that is indexed by time. Unlike traditional databases, time series databases are optimized for reading and writing data with less performance consideration for updating or deleting data. Due to the time-dependent nature of time series data, time series databases are handy for application monitoring.
Spark Tuning Helps You Optimize Your Resources (Part One)
As our recent survey showed, Apache Spark is poised to continue as big data’s most dominant large-scale big data processing platform. Thus it is imperative that Spark users learn and master Spark tuning if they want to get the most out of their Spark environments. But what is tuning in Spark? How is it done? Read on to know more about Spark tuning.
Measuring the ROI of IT operations: IT staff performance
Measuring the ROI of IT operations enables organizations to visualize the contributions of IT teams in terms of dollar value. In this video, we discuss how to measure the ROI of IT staff using advanced analytics.
How Companies Are Using InfluxDB and Kafka in Production
Hulu, the entertainment streaming platform, needed a solution to scale up its internal application and infrastructure monitoring platform as it grew beyond 1 million metrics per second. The solution it created combines two open source tools— InfluxDB, a time series database, and Kafka, an event-streaming platform. It’s not just global enterprises like Hulu that have access to world-class tools and infrastructure to achieve their business goals.
Build or Buy? Developer Productivity vs. Flexibility
A common debate in software development focuses on whether to use already-available tools or services, which offer better developer productivity, or stick with lower-level tools or custom-built solutions, which offer more control and potentially better performance and flexibility. This can be boiled down to the decision of whether to build or buy. These two approaches are at the root of many current tech industry ideological conflicts.