Pepperdata Introduces New Kafka Monitoring
April 14, 2020
Share this

Pepperdata announced the availability of Streaming Spotlight, a new product in Pepperdata's data analytics performance suite.

The suite is purpose-built for IT operations teams, giving them a single, comprehensive view of their analytics stack, both in the cloud and on premises. With Streaming Spotlight, existing customers can integrate Kafka monitoring metrics into the Pepperdata dashboard, adding detailed visibility into Kafka cluster metrics, broker health, topics and partitions.

Kafka is a distributed event streaming platform and acts as the central hub for an integrated set of messaging systems. Kafka's architecture of brokers, topics and data replication supports high availability, high-throughput and publish-subscribe environments. For some users, Kafka handles trillions of messages per day. Managing these data pipelines and systems is complex and requires deep insight to ensure these systems run at optimal efficiency.

Gartner confirms organizations are shifting from traditional processing on databases and batch to a streaming-first approach. Organizations moving to streaming architectures are quickly adopting Kafka for microservices communication, leading to an increased need to monitor Kafka's overall performance.

To make Kafka monitoring simpler, Pepperdata's Streaming Spotlight provides visibility into brokers and topics, and enables users to quickly resolve any issues by correlating host metrics. Pepperdata customers report the ability to track the right metrics, and then integrate those metrics as part of their overall big data analytics stack, is integral to their ongoing IT operations success.

Pepperdata Kafka monitoring benefits include:

- Automatically detect and alert on atypical Kafka behavior to prevent data loss

- Ensures preservation of SLAs for real-time stream processing applications

- Forecast Kafka data streaming capacity needed to protect throughput performance

- Correlate infrastructure and application metrics across Kafka, Spark, Hive, Impala, HBase and more

"With this new functionality, IT teams have the visibility needed to run their streaming applications as efficiently as possible. The ability to be alerted to faults, and then pinpoint those issues in near real time for remediation is no longer a luxury in mission-critical environments," said Ash Munshi, CEO, Pepperdata. "We're providing an elegant solution for observability and monitoring as Kafka is becoming the de-facto standard for streaming applications."

Share this

The Latest

September 25, 2020

Michael Olson on the AI+ITOPS Podcast: "I really see AIOps as being a core requirement for observability because it ... applies intelligence to your telemetry data and your incident data ... to potentially predict problems before they happen."

September 24, 2020

Enterprise ITOM and ITSM teams have been welcoming of AIOps, believing that it has the potential to deliver great value to them as their IT environments become more distributed, hybrid and complex. Not so with DevOps teams. It's safe to say they've kept AIOps at arm's length, because they don't think it's relevant nor useful for what they do. Instead, to manage the software code they develop and deploy, they've focused on observability ...

September 23, 2020

The post-pandemic environment has resulted in a major shift on where SREs will be located, with nearly 50% of SREs believing they will be working remotely post COVID-19, as compared to only 19% prior to the pandemic, according to the 2020 SRE Survey Report from Catchpoint and the DevOps Institute ...

September 22, 2020

All application traffic travels across the network. While application performance management tools can offer insight into how critical applications are functioning, they do not provide visibility into the broader network environment. In order to optimize application performance, you need a few key capabilities. Let's explore three steps that can help NetOps teams better support the critical applications upon which your business depends ...

September 21, 2020

In Episode 8, Michael Olson, Director of Product Marketing at New Relic, joins the AI+ITOPS Podcast to discuss how AIOps provides real benefits to IT teams ...

September 18, 2020

Will Cappelli on the AI+ITOPS Podcast: "I'll predict that in 5 years time, APM as we know it will have been completely mutated into an observability plus dynamic analytics capability."

September 17, 2020
One of the benefits of doing the EMA Radar Report: AIOps- A Guide for Investing in Innovation was getting data from all 17 vendors on critical areas ranging from deployment and adoption challenges, to cost and pricing, to architectural and functionality insights across everything from heuristics, to automation, and data assimilation ...
September 16, 2020

When you consider that the average end-user interacts with at least 8 applications, then think about how important those applications are in the overall success of the business and how often the interface between the application and the hardware needs to be updated, it's a potential minefield for business operations. Any single update could explode in your face at any time ...

September 15, 2020

Despite the efforts in modernizing and building a robust infrastructure, IT teams routinely deal with the application, database, hardware, or software outages that can last from a few minutes to several days. These types of incidents can cause financial losses to businesses and damage its reputation ...

September 14, 2020

In Episode 7, Will Cappelli, Field CTO of Moogsoft and Former Gartner Research VP, joins the AI+ITOPS Podcast to discuss the future of APM, AIOps and Observability ...