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In cloud environments, autoscaling provides the elasticity that you need for your big data workloads, but it often leads to uncontrolled costs. With Pepperdata’s Capacity Optimizer, you can relax with the peace of mind that your clusters are operating at the highest levels of resource and cost efficiency.
Complete, actionable insights and visibility into your entire digital ecosystem.
BigPanda’s Root Cause Analysis (RCA) capability uses Open Box Machine Learning to help organizations identify changes in infrastructure and applications that cause the majority of today’s incidents and outages. Additionally, BigPanda identifies low-level infrastructure issues that cause problems. By harnessing the power of AIOps, BigPanda is able to pinpoint the root cause of incidents and outages in real-time. The result is tangible in both revenue and SLAs, by helping IT Ops rapidly resolve incidents and outages.
Confirm your business-critical applications are available to your customers and workforce.
BigPanda’s Incident 360 Console is the “single pane of glass” for IT operations teams. The console allows them to easily see and investigate incidents, analyze their impact, determine their root cause and take action on them, as well as collaborate with other team members to simplify their resolution – all from one screen.
Read the solution brief to learn how Pepperdata's Capacity Optimizer reduces cloud costs and reclaims waste from your infrastructure's big data clusters.
Pepperdata for Amazon EMR provides automated tuning, full-stack observability, and real-time insights across all of your Spark workloads and EMR instances—all in one place. Download the datasheet to see how Pepperdata autonomously optimizes your Spark jobs and reduces Amazon EMR costs by up to 50% with no code changes.
With Log Intelligence you can reduce the noise in your IT/logs events without losing context or the essence of events. Log Intelligence sits in between your enterprise IT logs/events and your SIEM tools (like Splunk, QRadar, Exabeam etc.) and lets you intelligently reduce noise using a combination of AI/ML models and configurable rules using data bots and pipelines.
- Data Reduction
- Data Enrichment
- Data Replay
- Data Analytics & Observability
BigPanda Automatic Incident Triage automates and shortens the triage phase of your incident management lifecycle.
Featured Case Studies
Due to the complexity of its application architecture, the IT team at Techedge faced a variety of issues, including database performance issues as a result of un-optimized SQL queries, lack of visibility, increased MTTR, and resource leakages. Check out this case study to learn how Techedge, a multinational IT services and consulting firm from Italy, optimizes global client services with Applications Manager.
Catchpoint gives Equinix a more complete picture of internet visibility into what's going on in the network, and that helps the company solve problems more quickly and communicate problems with clarity for customers. With Catchpoint, Equinix is able to identify and diagnose issues in a matter of minutes and begin to correct them before they become larger problems for end users.
Samsung SDS's team came across ManageEngine Applications Manager through a web search. Once the team started to familiarize themselves with the wide range of capabilities the product possessed, Applications Manager's team was able to customize the product to meet their requirements.
As a leading non-bank mortgage service, the organization continually strives to optimize its solutions to deliver seamless digital experiences for its customers, clients, and investors. In its first few years, the company took a traditional on-premises approach towards its IT stack. Within weeks of evaluation, the team identified Applications Manager as a perfect fit for its requirements, as it offered real-time, contextual insight across the full stack — from infrastructure performance to end-user experience.
Intercom’s mission is to strengthen the relationship between businesses and their customers through better communication. With that in mind, they began their journey towards complete observability to improve their development pipeline to be able to ship more quickly and efficiently. Learn why they turned to Honeycomb for support.
When looking for an application performance monitoring solution, the organization evaluated several solutions, but found none met their needs — until it discovered Applications Manager. "We evaluated SolarWinds but the solution was too heavy for us, cost-wise. We came across Applications Manager while researching online and since then there have not looked back. Additionally, we have also been using other ManageEngine solutions and, needless to say, it has become a one-stop shop for all our needs now." Peterson, one of the directors of AIDcares, noted.
"We get Catchpoint alerts within seconds when a site is down. And we can, within three minutes, identify exactly where the issue is coming from and inform our customers and work with them."
Through Pepperdata’s Spotlight solutions and Capacity Optimizer, the client optimized resources to ensure efficient application runtimes and achieved a reduction of Amazon EC2 instance costs by 50%. The client’s big data team was then able to run more applications without additional hardware and personnel, empowering the enterprise as a whole to focus on developing new products and solutions for its own customers.
"Without this tool our teams would waste valuable time logging into many different programs. BigPanda helped us streamline our process so that in turn we could solve issues and troubleshoot in a much more timely manner."
KFintech provides mutual fund, global fund, investment fund, private wealth management, and other financial services. Since these services are critical, any unexpected downtime or degradation in service can have a staggering impact on business and can affect the trust of customers.