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The latest News and Information on Cloud monitoring, security and related technologies.

Spark Performance Management Optimization Best Practices | Pepperdata

Gain the knowledge of Spark veteran Alex Pierce on how to manage the challenges of maintaining the performance and usability of your Spark jobs. Apache Spark provides sophisticated ways for enterprises to leverage big data compared to Hadoop. However, the increasing amount of data being analyzed and processed through the framework is massive and continues to push the boundaries of the engine.

How to Optimize Spark Enterprise Application Performance | Pepperdata

Does your big data analytics platform provide you with the Spark recommendations you need to optimize your application performance and improve your own skillset? Explore how you can use Spark recommendations to untangle the complexity of your Spark applications, reduce waste and cost, and enhance your own knowledge of Spark best practices. Topics include: Join Product Manager Heidi Carson and Field Engineer Alex Pierce from Pepperdata to gain real-world experience with a variety of Spark recommendations, and participate in the Q and A that follows.

How to Maximize the Value Of Your Big Data Analytics Stack Investment

Big data analytics performance management is a competitive differentiator and a priority for data-driven companies. However, optimizing IT costs while guaranteeing performance and reliability in distributed systems is difficult. The complexity of distributed systems makes it critically important to have unified visibility into the entire stack. This webinar discusses how to maximize the business value of your big data analytics stack investment and achieve ROI while reducing expenses. Learn how to.

How DevOps Can Reduce the Runaway Waste and Cost of Autoscaling

Autoscaling is the process of automatically increasing or decreasing the computational resources delivered to a cloud workload based on need. This typically means adding or reducing active servers (instances) that are leveraged against your workload within an infrastructure.

Learn How to Simplify Kubernetes Performance Management | Pepperdata

Complex applications running on Kubernetes scale super fast, but this can create visibility gaps that can make detecting and troubleshooting Kubernetes issues as difficult as finding a needle in a haystack. Although Docker and Kubernetes are now becoming standard components when building and orchestrating applications, you’re still responsible for managing the performance of applications built atop this new stack.

Big Data Performance Management Solution Top Considerations

The growing adoption of Hadoop and Spark has increased demand for Big Data and Performance Management solutions that operate at scale. However, enterprise organizations quickly realize that scaling from pilot projects to large-scale production clusters involves a steep learning curve. Despite progress, DevOps teams still struggle with multi-tenancy, cluster performance, and workflow monitoring. This webinar discusses the top considerations when choosing a big data performance management solution.

We raised $29 million in new funding. Here's what we're going to do with it

Today we are announcing an additional $29 million in funding to help Lumigo grow and provide the same powerful observability capabilities we brought to serverless to other cloud-native technologies, including containers and Kubernetes. Lumigo was founded by Aviad Mor and me a few years ago because we believed the world would be rapidly moving to cloud-native architectures and that these technologies are transformative. Our goal was to create the tools that help developers realize this vision.

5 Sustainable IT Practices for Your SaaS Applications

With web browser-accessed applications reaching record levels, employees are now spending most of their productive work time inside a cavern of business web applications. These may be custom applications built by a company for specific business purposes, or commercial SaaS applications for important functions such as collaboration, workflow management, scheduling, communication, transactional business, single sign-on, development, service desk, CRM, HR, and others.

What is Microsoft Azure Portal and its Benefits?

With the help of its continually growing global network of data centres, Microsoft has developed Azure, a cloud platform for developing, deploying, and managing services and applications from any location. Azure is available now. Azure’s platform as a service (PaaS) approach allows you to add cloud capabilities to your current network, while its infrastructure as a service (IaaS) model allows you to entrust Microsoft with all of your computing and network requirements (IaaS).