Using Automation to Boost the Effectiveness of Your APM Solution
March 17, 2017

Chris Bloom
Savvius

Share this

Companies are outsourcing their applications to the cloud in droves, and the trend is sure to continue. In fact, the International Data Corporation (IDC) forecasts worldwide spending on cloud solutions will reach $141 billion by 2019. 

So, let’s say your company has examined all the potential pros and cons, and moved your critical business applications to the cloud. The advertised benefits of the cloud seem like they’ll work out great. And in many ways, life is easier for you now. No infrastructure is necessary. Software updates happen magically on the backend. You get on-demand scalability. The benefits seem endless. And with these things taken care of, you might even find yourself with some free time.

But as often happens when things seem too good to be true, this honeymoon period is short-lived. Reality has a way of kicking in to reveal just exactly how many things can go wrong with your cloud setup – things that can directly impact your business.

One of the most common problems in cloud-based solutions is slow performance, causing users to wait an extended period of time for applications to respond. These problems can be difficult to troubleshoot, because you no longer have direct control over an outsourced application sitting in the cloud. And because the application is in a remote cloud being accessed over the Internet, network performance can have an effect as well. End-users feel the symptoms of network issues but usually don’t see the cause. If a network is congested or sluggish, for whatever reason, critical applications such as VoIP, ERP and CRM solutions can quickly bog down, particularly if they are hosted in the cloud.

If any of this sounds familiar, it’s probably because you’ve encountered something similar. This is when you realize that outsourcing your applications to the cloud does not mean your job is done. On the contrary, deploying applications in the cloud or relying on Software Defined Networks (SDN) or Network Functions Virtualization (NFV) architectures to reduce cost or complexity generally means that you’ll need to closely monitor your applications. When they are slow, your only choice is usually to contact the vendor and work with them to get it fixed. Since your company no longer hosts the application, you do not have direct access to it. Instead, you have to go through that vendor, whose priorities may not always align with your own.

When you contact the vendor about a problem, you will often find that the vendor will try to blame the network first, telling you to talk to your network service provider. And when you contact the network provider, guess what they are going to say? This is not fun, because at this point it is on you to prove whether the performance problem is being caused by the network or the application.

Although you do not have direct access or control over the network or the application, you do have access to all of the network traffic. In order to monitor the performance of your cloud applications, you’ll want an Application Performance Management (APM) solution that can measure latency of both the network and the application. When the latency is high, your tools should also help you understand why. Your complete solution should also have packet capture and analysis capabilities to investigate application performance issues.

Automation and APM

A good APM solution should provide automatic updates on performance issues that help to classify applications in real time, and gather the information you need to better understand what is going on in the network. A web-based dashboard or a mobile app can be a huge bonus, giving you real-time application-aware network analysis and forensics capabilities for Layer 4-7 traffic.

If the solution does not have automation capabilities built-in, it should at least have an API to get the analysis out, and ideally extend the capabilities of the analysis. For example, maybe you run a proprietary protocol, and need to extend the APM solution to recognize it. Or maybe there is a type of custom quality measurement you want the APM solution to calculate. APIs can include C++ or a REST-API, which allow scripts and programs to be written to configure and pull data. These types of APIs are also useful when integrating with other systems; for example, changing the settings of switches and routers based on APM thresholds.

Unfortunately, having to write some code to create these extensions can put them out of reach for many IT organizations, who do not have access to software development resources. But that’s ok, as long as the APM solution can output snapshots of the data at user defined intervals in a format like CSV or JSON. This allows other products to pick it up, and put it in a database. That, in turn, enables all kinds of visualization automation and customization.

Many organizations already have a solution to collect all kinds of log data from different systems, allowing them to create dashboards and alerts that correlate the data, providing insight into how they affect each other, and the business. One of those solutions has a “prediction” feature that will forecast trends into the future. The more data you have from the past, the further it can forecast into the future. Imagine getting an alert that tells you that in a week the utilization on your network will reach maximum capacity, or that latency on your most critical app will reach an unacceptable level. Talk about being proactive.

The most important thing to understand about automation is that it’s not all or nothing. Automation is something that can be added a little bit at a time, making your life a bit easier each time you incorporate more.

Chris Bloom is Senior Manager of Technical Alliances at Savvius.

Share this

The Latest

May 25, 2017

According to most industry perceptions, application performance management (APM) and application portfolio management (APM) might seem to be worlds apart — or at best connected by a very thin thread. In this blog, I'd like to highlight three areas that are bridging the APM-to-APM divide: digital experience management, application discovery and dependency mapping (ADDM), and agile/DevOps lifecycle planning ...

May 24, 2017

In today's digital world, it is possible to gauge the cost implications of an IT outage on employee productivity, revenue generation but it is usually much more tricky to measure the negative impacts on the very IT people's lives ...

May 22, 2017

APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 5 offers some interesting final thoughts ...

May 19, 2017

APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 4 covers automation and the dynamic IT environment ...

May 18, 2017

APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 3 covers monitoring and user experience ...

May 17, 2017

APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 2 covers visibility and data ...

May 16, 2017

Managing application performance today requires analytics. IT Operations Analytics (ITOA) is often used to augment or built into Application Performance Management solutions to process the massive amounts of metrics coming out of today's IT environment. But today ITOA stands at a crossroads as revolutionary technologies and capabilities are emerging to push it into new realms. So where is ITOA going next? With this question in mind, APMdigest asked experts across the industry — including analysts, consultants and vendors — for their opinions on the next steps for ITOA ...

May 15, 2017

Digital transformation initiatives are more successful when they have buy-in from across the business, according to a new report titled Digital Transformation Trailblazing: A Data-Driven Approach ...

May 11, 2017

The growing market for analytics in IT is one of the more exciting areas to watch in the technology industry. Exciting because of the variety and types of vendor innovation in this area. And exciting as well because our research indicates the adoption of advanced IT analytics supports data sharing and joint decision making in a way that's catalytic for both IT and digital transformation ...

May 10, 2017

Colin Fletcher, Research Director at Gartner, talks about Algorithmic IT Operations (AIOps) and the challenges and recommendations for AIOps adoption ...