Alex TsoiInformation Technology Consultant at TELUS Corporation
BrianHeislerPrincipal Enterprise Systems Engineer at a healthcare company
Darrin KhanCompliance, Security & Testing Manager at a financial services firm
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"It is good for giving an overview of the systems and for tracking long-term trends. It is handy for root cause analysis, e.g. it can eliminate whether storage is the cause of an issue."
"Among the most valuable features are the queries and reporting that allow us to look at the utilization of resources, at how well the storage is performing, and to report on which resources are being used by which business units. We can track usage across the entire environment, across applications, business units, cost centers, etc."
"Its ability to quickly inventory our resources, figure out interdependencies across them, and assemble a topology of your environment is brilliant. There is a price associated with it. Whenever you target a NetApp environment, it is included in the price but whenever you want to add different vendors, like VMware and Cisco, the price greatly spikes. Inventorization helps us a lot to visualize the environment."
"Cloud Secure is definitely the most valuable feature and being able to see file level activity. It gives real-time alerting on possible ransomware attacks and provides file security review. It helps us to see if something abnormal is happening on the system before it's too late."
"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."
"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"Straightforward to integrate and automate."
"Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"A cool feature is that it helps us to understand the flow of the alert. If the alert was coming to the current on-call and he didn't catch the call or didn't notice it for any reason, it starts being escalated automatically, according to the escalation schedule, or to other teammates. You can see the flow very easily on your phone or via the website, if you want to do a post-mortem."
"The most valuable feature is definitely the flexibility of the schedule. The mobile app is quite also good for what we do: for receiving alerts, acknowledging, assigning, adding new responders. It has rich features for our needs."
"It reduces the amount of white noise. If something comes through, then it will alert somebody. However, if it's a bit of white noise that comes through at night, then it gets dealt with the next day. Everything is visible to everybody. It's not just a single person getting an SMS, then going, "Oh, I'm not going to worry about that." The visibility to everybody on the team is one of the great things about it because it reduces the white noise."
"When I did need support because I was having problems with the solution, the first or the second line just didn't understand it. They were providing this only on a software as a service basis. So, they were asking all the wrong questions."
"There is room for improving the creating and managing or modifying of reports. That is still a difficult task to do and requires knowledge beyond the storage itself. I would love to see reporting improved so that we can create reports by dragging and dropping pieces into a report form and publish a report that way."
"Their pricing model needs improvement."
"In a perfect world we would have something built, right out-of-the-box, that can identify what we call "noise," and reduce the amount of data. You're presented with so much data when you first start the data collectors. For example, it brings back a lot of change rates that happen just because of standard computing, like profile changes and that sort of thing. Being able to identify things like that and categorize them and strip it down—and it probably can do that, I just haven't gotten there yet—would be very beneficial."
"Additional metrics should be included."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"Could be a little more user friendly."
"The error traceability is an area that can be improved."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"In the past two years, there have been a couple of outages."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"There is room for improvement with the time schedule. The way the schedule currently works is you assign all the team members in one schedule and it automatically spreads them around throughout the schedule... It would be better to be able to edit the schedule and place my team members where I want, or at least to have that option in addition to the automatic process."
"The solution's analytics are okay. I don't think the features, at this point, give you a lot of insights. We have actually been trying to get insights from it but it hasn't really given us a lot of extra points to explore. We were looking at the number of alerts to see where many of the alerts were coming from. We never managed to get many insights on this."
"Because of the way you have to structure the rosters, if an engineer has to go on leave (or something), you can't just go in and reassign/take this person out of all of the different rosters that they're in. You have to go into each of the rosters and take them out. There might be a roster for business hours, after hours rotation, and monitoring deployments. Each time we need to take an engineer out of the pool, e.g., if they're sick or on leave, then we have to go and touch all of those rosters, updating and replacing them. Whereas, if we could just take the person out and have it automatically fill in the rostering, then that would make life a lot easier for managing it."
"The licensing model could be improved. We love that you can use it for free for looking at NetApp products. You only need licenses to look at non-NetApp products, but as soon as you do that, you start utilizing licenses that actually would have been free in the public. So, there is a bit of an anomaly in the licensing model."
"Be aware of the capacity licensing and understand how that works, because it is based on capacity. Getting an understanding of that is the biggest thing."
"It didn't scale well from the cost perspective. We had a custom package deal."
"The price is better than some competing products."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"The cost is high and this can be justified if the scale of the environment is big."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"The cost is quite high. But if you want to get a full-featured application and you have a big team..."
"If you add more people, then you have to pay more, which is always a thing with the SaaS solutions."
"If we wanted phone calls or additional SMSs, we would have to pitch up for those. They give us so many per month per user, then we have to pay extra if it goes over that."
NetApp Cloud Insights is an infrastructure monitoring tool that gives you visibility into your complete infrastructure. With Cloud Insights, you can monitor, troubleshoot and optimize all your resources including your public clouds and your private data centers.
PagerDuty is an agile incident management solution that integrates with ITOps and DevOps monitoring stacks to improve operational reliability and agility. From enriching and aggregating events to correlating them into actionable alerts, PagerDuty streamlines the incident management lifecycle by reducing noise and resolution times. With hundreds of native integrations with operations tools, automated scheduling, advance reporting and guaranteed availability, PagerDuty is trusted by over 7,000 organizations globally to increase business and employee efficiency. The company is headquartered in San Francisco and backed by leading venture capital firms Andreessen Horowitz, Bessemer Venture Partners, Baseline Ventures, Ignition Partners and others. To try PagerDuty for free, or to get more information, visit www.pagerduty.com.
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Datadog is ranked 2nd in Cloud Monitoring Software with 22 reviews while PagerDuty is ranked 1st in IT Alerting and Incident Management with 3 reviews. Datadog is rated 8.4, while PagerDuty is rated 8.4. The top reviewer of Datadog writes "Provides insightful analytics and good visibility that assist with making architectural decisions". On the other hand, the top reviewer of PagerDuty writes "Reduces white noise, which has reduced engineer fatigue". Datadog is most compared with Dynatrace, Splunk, New Relic APM, ELK Logstash and Azure Monitor, whereas PagerDuty is most compared with ServiceNow, Everbridge IT Alerting, Opsgenie, Splunk and IBM Tivoli NetCool OMNIbus.
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