Datadog聽vs聽Monitor in a Box聽vs聽Splunk Cloud

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Datadog
Datadog

2.6K
2K
+ 1
705
Monitor in a Box
Monitor in a Box

4
23
+ 1
0
Splunk Cloud
Splunk Cloud

90
126
+ 1
10
No Stats
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- No public GitHub repository available -

What is Datadog?

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

What is Monitor in a Box?

Collect and maintain a history of both application performance and infrastructure health metrics.

What is Splunk Cloud?

If you're looking for all the benefits of Splunk庐 Enterprise with all the benefits of software-as-a-service, then look no further. Splunk Cloud is backed by a 100% uptime SLA, scales to over 10TB/day, and offers a highly secure environment.
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Why do developers choose Datadog?
Why do developers choose Monitor in a Box?
Why do developers choose Splunk Cloud?
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        What companies use Datadog?
        What companies use Monitor in a Box?
        What companies use Splunk Cloud?
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          What tools integrate with Datadog?
          What tools integrate with Monitor in a Box?
          What tools integrate with Splunk Cloud?
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            What are some alternatives to Datadog, Monitor in a Box, and Splunk Cloud?
            New Relic
            New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.
            Splunk
            Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
            Prometheus
            Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
            Grafana
            Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
            AppDynamics
            AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
            See all alternatives
            Decisions about Datadog, Monitor in a Box, and Splunk Cloud
            Julien DeFrance
            Julien DeFrance
            Principal Software Engineer at Tophatter | 3 upvotes 150.7K views
            atStessaStessa
            New Relic
            New Relic
            Datadog
            Datadog
            #APM

            Which #APM / #Infrastructure #Monitoring solution to use?

            The 2 major players in that space are New Relic and Datadog Both are very comparable in terms of pricing, capabilities (Datadog recently introduced APM as well).

            In our use case, keeping the number of tools minimal was a major selection criteria.

            As we were already using #NewRelic, my recommendation was to move to the pro tier so we would benefit from advanced APM features, synthetics, mobile & infrastructure monitoring. And gain 360 degree view of our infrastructure.

            Few things I liked about New Relic: - Mobile App and push notificatin - Ease of setting up new alerts - Being notified via email and push notifications without requiring another alerting 3rd party solution

            I've certainly seen use cases where NewRelic can also be used as an input data source for Datadog. Therefore depending on your use case, it might also be worth evaluating a joint usage of both solutions.

            See more
            Robert Zuber
            Robert Zuber
            CTO at CircleCI | 8 upvotes 289.1K views
            atCircleCICircleCI
            Datadog
            Datadog
            PagerDuty
            PagerDuty
            Honeycomb
            Honeycomb
            Rollbar
            Rollbar
            Segment
            Segment
            Amplitude
            Amplitude
            PostgreSQL
            PostgreSQL
            Looker
            Looker

            Our primary source of monitoring and alerting is Datadog. We鈥檝e got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We鈥檝e definitely scaled past the point where managing dashboards is easy, but we haven鈥檛 had time to invest in using features like Anomaly Detection. We鈥檝e started using Honeycomb for some targeted debugging of complex production issues and we are liking what we鈥檝e seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

            We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

            See more
            Interest over time
            Reviews of Datadog, Monitor in a Box, and Splunk Cloud
            Review ofDatadogDatadog

            Background

            We're a real-time financial services messaging company, so being able to monitor our servers and applications in real-time is important to us. We also like a good deal, so $15/server seemed a bargain.

            What were we looking for?

            We wanted to monitor our MS infrastructure (servers, SQL) and apps (C#) to understand performance issues and be able to rectify. We also want to be able to do long-term trending. And we wanted to go from nothing to live in a short time.

            Experience

            Installing the Datadog agent on the servers was a breeze and enabling the integrations for SQL and Windows trivial.

            Using the StatsD based API was also very easy - no worrying about JSON or UDP calls. The ability to add tags to all metrics is also a key benefit. We run multiple (100+) instances of a single application and being able to distinguish events from each one via tagging, or to see aggregates, is extremely useful.

            In all it took 2 days R&D to instrument our key applications sufficiently for production deployment. Deploying the agent to our production servers took 30 mins, giving our Ops team complete visibility for the 1st time.

            What have we learned

            Since we've been live Datadog has given us numerous insights into the way our system behaves, from uneven server loadings and sporadic memory usage to performance tuning a key application that resulted in a 50% increase in throughput. Knowing what's taking the time has been a boon.

            Continuous evolution

            The other nice surprise has been the evolving nature of Datadog. It seems like every couple of weeks there's a new feature on the site.

            Other points

            • I like the transparent pricing. Services that won't show me the price without having to talk to a sales person are really annoying.
            • Support has been good. We've contacted them several times with questions and always had a quick response (time zone considered...we're in London) and a helpful answer.

            So What's bad?

            Probably the weakest aspect at the moment is the long term trending of data. Whilst you can wind the time bar back to see what happened last week you can't ask questions like "show me the peak period each day for the last x months". The "get data" API is also fairly weak. Neither are concerns at the moment, and I'm sure they're on the to-do list.

            Review ofDatadogDatadog

            I've been a systems administrator most of my career. Everywhere I went, I'd have to rebuild the same monitoring + graphing system. And then make sure that every machine wrote to that system and every application handed up the proper metrics through whatever mechanism seemed good at the time.

            Then, as CTO of SimpleReach, single-handedly managing over 200 servers in addition to everything else, I found Datadog. We were already using statsd to instrument our applications, now it was just a matter of getting that data to Datadog. We use Chef, so I installed the Datadog agent on every machine in about 10 minutes and we were up and running.

            The best part was that we had a deploy problem the next day with one of our main applications and troubleshooting took minutes instead of hours (and Datadog immediately paid for itself). Now no new features go out without instrumentation and no machine gets created without being monitored.

            Datadog just scales with us. Great service and I highly recommend it to anyone not looking to reinvent the wheel with monitoring and instrumentation.

            Review ofDatadogDatadog

            Datadog makes running a service with 800,000 unique users a month possible as a single developer/maintainer. I bought a separate monitor just to keep my datadog dashboards always visible and rely on triggers to keep watch over 20+ servers.

            Highly recommended.

            Review ofDatadogDatadog

            We use datadog to monitor our servers and some application metrics. Easy to get started and scale to many servers. Datadog support engineers are always quick to respond to bugs and other challenges.

            How developers use Datadog, Monitor in a Box, and Splunk Cloud
            Avatar of DigitalPermits
            DigitalPermits uses DatadogDatadog

            We just started looking into Datadog, but from what we see, it's like New Relic meets Loggly. It's really easy to plugin different services (like the one on this list) and get detailed analysis of what is happening on your servers and services. It makes tracking down sparse and difficult to understand problems possible.

            Avatar of Sail Tactics
            Sail Tactics uses DatadogDatadog

            Monitoring day-to-day operations of multiple high-performance computing assets distributed across several networks. Monitoring vendor provided data and setting up alerts when things do not show up on time.

            Avatar of AngeloR
            AngeloR uses DatadogDatadog

            Datadog was used as an agent for monitoring and as for the statsd daemon included. This way we are able to have automated system stats and include whatever other metrics we want to track.

            Avatar of Dynamictivity
            Dynamictivity uses DatadogDatadog

            Datadog is used because it has a great free tier and it provides us with great insights and integrations into our infrastructure and tools.

            Avatar of Flux Work
            Flux Work uses DatadogDatadog

            Powerful all-in-one monitoring solution as a service. Good integration with AWS. Very affordable price for small-scale startups.

            Avatar of alfredxing
            alfredxing uses Splunk CloudSplunk Cloud

            Log viewing and management

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