28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 4
May 05, 2016
Share this

APMdigest asked experts from across the industry – including consultants, analysts and the leading vendors – for recommendations on the best way to ensure application performance in the hybrid cloud. Part 4 covers tools that help you leverage performance data.

Start with 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 1

Start with 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 2

Start with 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 3

17. AUTOMATED ALERT CORRELATION

Hybrid cloud brings an unmatched level of fragmentation and complexity, compounded by modernization in application development - with the uptake of continuous delivery, infrastructure as code, containerization, and the use of micro-services. This exacerbates an already painful problem of the inability to scale manual processes for incident detection, investigation and collaboration in order to keep up with the growing volume of alerts. Automated alert correlation, that delivers enriched and actionable insight into incidents, is the need of the hour. This bridge between the gap of machine generated alerts and human understanding is the key to ensuring application performance with faster time to resolution.
Mala Ramakrishnan
Head of Product Marketing, BigPanda

18. SINGLE PANE OF GLASS

A solution that seamlessly monitors applications across hybrid environments is a necessity. Only a single pane of glass can equip IT teams with the insights they need to plan for capacity, release apps and to monitor applications that run on distributed production environments.
Krishnan Badrinarayanan
Sr. Product Marketing Manager, Riverbed

Create greater gravity around a single management console. Enterprises need to extend real-time performance analytics and IT efficiencies beyond conventional on-premise orthodoxies to include the public cloud resources while at the same time assuring service delivery quality and self-healing functions across conventional infrastructure silos.
Atchison Frazer
VP of Marketing, Xangati

With both on-premises and cloud resources to manage in a hybrid IT environment, a monitoring toolset that quickly surfaces a single point of truth across those platforms is essential and will increase the efficiency and effectiveness of monitoring as a discipline. The normalization of utilization metrics, saturation alerts and error events from applications, regardless of their location, enables a more efficient approach to remediation, troubleshooting and optimization.
Kong Yang
Head Geek, SolarWinds

19. ROOT CAUSE ANALYSIS

The most important word for organizations building out a hybrid cloud is "anticipation." Issues that threaten performance, security, and service availability are inevitable, and balancing the clear benefits of hybrid clouds — tailoring the solution to the need, lower costs, and improved manageability — are the challenges: hybrid clouds typically present a broader attack surface and have more PFPs ("Potential Failure Points") than less complex systems. Preparing for – rather than reacting to – these issues is cost effective and leads to a faster MTTR ("Mean Time To Resolution") for both performance and security issues. How? Enhancing monitoring and investigation capabilities, with a particular emphasis on forensics, the process of getting quickly to root cause. Application, network, and security forensics should all be in place and operational before a problem occurs, not after, for any organization building out a hybrid cloud.
Mandana Javaheri
CTO, Savvius

20. DEPLOYMENT AUTOMATION FOR MULTIPLE OPEN SOURCE MONITORING APPS

Automation is the best way to ensure app performance in any hybrid cloud environment. Companies should look for solutions that can automate the deployment of a wide range of open source Big Data applications to allow for optimal flexibility in the use of application platforms. One such category of open source applications allows businesses to monitor application performance. This type of modern open source software and application monitoring technology can be supported on many different platforms, making it hybrid-cloud compatible. Automation eliminates the time consuming and error-prone manual system engineering of these open source distributed systems. Because different open source tools have different degrees of complexity, automation commoditizes this “heavy lifting” and allows a greater audience of perspective users to take advantage of more of these tools. Its no longer just the “big data elite” that can take advantage of all of the tools in the market today.
Dave Hirko
Managing Partner, Stackspace

21. VM LOAD BALANCING AND MONITORING

Virtual machines that are overloaded with traffic can't efficiently run applications in the hybrid cloud, leading to app lag times and performance delays. Load balancing tools can effectively distribute day traffic to VMs. and monitoring gives IT teams complete, easy visibility into the traffic on each VM, along with real-time reports on application delivery. By monitoring the traffic, you can eliminate any guesswork relative to app performance, wherever you're deploying.
Simon Taylor
SVP and GM, Comtrade System Software and Tools

Read 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 5, covering approaches you might not have thought about.

Share this

The Latest

October 17, 2019

As the data generated by organizations grows, APM tools are now required to do a lot more than basic monitoring of metrics. Modern data is often raw and unstructured and requires more advanced methods of analysis. The tools must help dig deep into this data for both forensic analysis and predictive analysis. To extract more accurate and cheaper insights, modern APM tools use Big Data techniques to store, access, and analyze the multi-dimensional data ...

October 16, 2019

Modern enterprises are generating data at an unprecedented rate but aren't taking advantage of all the data available to them in order to drive real-time, actionable insights. According to a recent study commissioned by Actian, more than half of enterprises today are unable to efficiently manage nor effectively use data to drive decision-making ...

October 15, 2019

According to a study by Forrester Research, an enhanced UX design can increase the conversion rate by 400%. If UX has become the ultimate arbiter in determining the success or failure of a product or service, let us first understand what UX is all about ...

October 10, 2019

The requirements of an APM tool are now much more complex than they've ever been. Not only do they need to trace a user transaction across numerous microservices on the same system, but they also need to happen pretty fast ...

October 09, 2019

Performance monitoring is an old problem. As technology has advanced, we've had to evolve how we monitor applications. Initially, performance monitoring largely involved sending ICMP messages to start troubleshooting a down or slow application. Applications have gotten much more complex, so this is no longer enough. Now we need to know not just whether an application is broken, but why it broke. So APM has had to evolve over the years for us to get there. But how did this evolution take place, and what happens next? Let's find out ...

October 08, 2019

There are some IT organizations that are using DevOps methodology but are wary of getting bogged down in ITSM procedures. But without at least some ITSM controls in place, organizations lose their focus on systematic customer engagement, making it harder for them to scale ...

October 07, 2019
OK, I admit it. "Service modeling" is an awkward term, especially when you're trying to frame three rather controversial acronyms in the same overall place: CMDB, CMS and DDM. Nevertheless, that's exactly what we did in EMA's most recent research: <span style="font-style: italic;">Service Modeling in the Age of Cloud and Containers</span>. The goal was to establish a more holistic context for looking at the synergies and differences across all these areas ...
October 03, 2019

If you have deployed a Java application in production, you've probably encountered a situation where the application suddenly starts to take up a large amount of CPU. When this happens, application response becomes sluggish and users begin to complain about slow response. Often the solution to this problem is to restart the application and, lo and behold, the problem goes away — only to reappear a few days later. A key question then is: how to troubleshoot high CPU usage of a Java application? ...

October 02, 2019

Operations are no longer tethered tightly to a main office, as the headquarters-centric model has been retired in favor of a more decentralized enterprise structure. Rather than focus the business around a single location, enterprises are now comprised of a web of remote offices and individuals, where network connectivity has broken down the geographic barriers that in the past limited the availability of talent and resources. Key to the success of the decentralized enterprise model is a new generation of collaboration and communication tools ...

October 01, 2019

To better understand the AI maturity of businesses, Dotscience conducted a survey of 500 industry professionals. Research findings indicate that although enterprises are dedicating significant time and resources towards their AI deployments, many data science and ML teams don't have the adequate tools needed to properly collaborate on, build and deploy AI models efficiently ...