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.
Read the solution brief to learn how Pepperdata's Capacity Optimizer reduces cloud costs and reclaims waste from your infrastructure's big data clusters.
Trusted by some of the most demanding organizations in the world, including Intel, United Airlines and Turner Broadcasting, BigPanda AIOps is the fastest, most effective and least-disruptive way to adopt AIOps. Powered by Open Box Machine Learning, BigPanda correlates IT noise into insights, automates incident management and unifies fragmented IT operations. Overwhelmed and understaffed IT Ops and NOC teams use BigPanda to detect, investigate and resolve IT incidents faster and more easily than ever before.
Optimize performance across your digital service delivery chain.
Complete, actionable insights and visibility into your entire digital ecosystem.
Eliminate any business impact from poor customer experiences.
Ensure your employees can connect & work from anywhere.
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.
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IT Ops execs and service owners in most enterprises want to be able to quickly and easily report on application and service uptime and performance, IT Ops and Network Operations Center (NOC) team performance, and incidents by source, severity and other parameters. But in order to accomplish this, most IT Ops teams waste precious hours every week, wrangling with spreadsheets and general-purpose reporting tools that are hard to use and keep up to date. IT Ops teams also struggle with not having the right data, relying on the wrong data, and focusing on the wrong metrics.
Featured Case Studies
TiVo’s stated objective is to proactively detect and resolve issues before its customers are impacted. But the non-stop pace of digital innovation required to support its ‘Ultimate Entertainment Experience’ mission meant that TiVo’s IT Ops team had to first solve the challenges that come with ever-increasing IT complexity.
"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."
"To ensure our clients' satisfaction, we prioritize the seamless performance of their critical applications. That's why we sought a monitoring solution that could offer a bird's-eye view of their IT infrastructure components, including VMs, databases, and server processes. Applications Manager proved to be the perfect fit, providing real-time insights that enable us to optimize our operations and provide unparalleled service to our valued customers."
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.
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.
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.
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.
"We were using Quest Foglight previously, and it was tricky to get all the data on a single panel to observe and correlate performance trends. Applications Manager's lucid reports and legible dashboards enhanced our visibility and helped us improve the performance of our IT."
Contextual insights from Applications Manager helped the team reduce the negative impact when a server or service is down, increase performance and availability, and make better decisions. "Our favorite feature is APM Insight. It gives us code-level visibility and enables us to understand if the problem is with the database or the code. Another advantage is that we are able to visualize all the data we need from a single console across our cloud and on-premises applications, and this saves us a lot of hassle," says a Senior system specialist from the firm.
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.