Fix web performance issues before they impact revenue.
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.
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.
Complete, actionable insights and visibility into your entire digital ecosystem.
Read the solution brief to learn how Pepperdata's Capacity Optimizer reduces cloud costs and reclaims waste from your infrastructure's big data clusters.
Eliminate any business impact from poor customer experiences.
Eliminate risk and automate the configuration, patching, and compliance of your Windows, macOS, and Linux systems with one cloud-native platform.
- Be up and running in minutes, not months.
- Remediate thousands of critical vulnerabilities up to 30X faster.
- Slash cost and complexity and get your time back.
- Give your end-users unparalleled productivity without interruptions.
Supercharge your endpoint management strategy regardless of your team's IT expertise or available resources. Fill the gaps with Otto AI, your new AI assistant from Automox. Say goodbye to IT coding and scripting hurdles as you swiftly patch, configure, and control your endpoints. Inspired by Otto, Automox's Agent of Action, Otto AI is the industry's first endpoint management AI assistant – a scripting pioneer here to enhance your in-house proficiency.
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.
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.
Featured Case Studies
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.
"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."
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.
Due to a security breach in one of the IT management products it was using, the General Authority of Civil Aviation (GACA) in Saudi Arabia started looking for an alternative to manage the performance of its applications. Applications Manager was selected after the organization experienced powerful results during the evaluation period and saw our product as the best solution for its needs. Read more to find out how GACA resolves their app performance issues with Applications Manager.
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.
"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."
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.
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.
"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."
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.