The Google Cloud Operations Suite (formerly Stackdriver) is an APM platform based on three tools for error detection, tracing, and resolution. It manages cloud-based or on-premise applications in live or mid-production environments.
$0.01
per 1,000 read API calls
Redis Software
Score 9.1 out of 10
N/A
Redis is an open source in-memory data structure server and NoSQL database.
N/A
Pricing
Google Cloud Operations Suite
Redis Software
Editions & Modules
Monitoring API Calls
$0.01
per 1,000 read API calls
Trace Ingestion
$0.20
per million spans
Monitoring Data
$0.26
per MB
Logging Data
$0.50
per GB
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Offerings
Pricing Offerings
Google Cloud Operations Suite
Redis Software
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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More Pricing Information
Community Pulse
Google Cloud Operations Suite
Redis Software
Features
Google Cloud Operations Suite
Redis Software
Application Performance Management
Comparison of Application Performance Management features of Product A and Product B
Google Cloud Operations Suite
8.6
2 Ratings
10% above category average
Redis Software
-
Ratings
Application monitoring
9.12 Ratings
00 Ratings
Database monitoring
9.12 Ratings
00 Ratings
Threshold alerts
7.32 Ratings
00 Ratings
Predictive capabilities
9.01 Ratings
00 Ratings
Application performance management console
6.42 Ratings
00 Ratings
Collaboration tools
9.01 Ratings
00 Ratings
Out-of-the box templates to monitor applications
9.01 Ratings
00 Ratings
Application dependency mapping and thresholding
8.01 Ratings
00 Ratings
Virtualization monitoring
10.01 Ratings
00 Ratings
Server availability and performance monitoring
8.22 Ratings
00 Ratings
Server usage monitoring and capacity forecasting
8.22 Ratings
00 Ratings
IT Asset Discovery
10.01 Ratings
00 Ratings
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Easy to set up in all environments. With this tool, the company is now able to measure both well-functioning data and data that needs immediate intervention. This early detection facilitates decisions about actions to correct the disorder and improve indexes. Stackdriver is now essential for the company's security and monitoring team and we plan to expand to other branches.
Redis has been a great investment for our organization as we needed a solution for high speed data caching. The ramp up and integration was quite easy. Redis handles automatic failover internally, so no crashes provides high availability. On the fly scaling scale to more/less cores and memory as and when needed.
Easy for developers to understand. Unlike Riak, which I've used in the past, it's fast without having to worry about eventual consistency.
Reliable. With a proper multi-node configuration, it can handle failover instantly.
Configurable. We primarily still use Memcache for caching but one of the teams uses Redis for both long-term storage and temporary expiry keys without taking on another external dependency.
Fast. We process tens of thousands of RPS and it doesn't skip a beat.
We had some difficulty scaling Redis without it becoming prohibitively expensive.
Redis has very simple search capabilities, which means its not suitable for all use cases.
Redis doesn't have good native support for storing data in object form and many libraries built over it return data as a string, meaning you need build your own serialization layer over it.
We will definitely continue using Redis because: 1. It is free and open source. 2. We already use it in so many applications, it will be hard for us to let go. 3. There isn't another competitive product that we know of that gives a better performance. 4. We never had any major issues with Redis, so no point turning our backs.
It is quite simple to set up for the purpose of managing user sessions in the backend. It can be easily integrated with other products or technologies, such as Spring in Java. If you need to actually display the data stored in Redis in your application this is a bit difficult to understand initially but is possible.
It is also a great problem detection tool, and this is extremely important for General Motors.
The user can count on the ease of flexible panels and advanced visualization tools that help to identify problems. Among the most common, we can mention:
- containment of hosts;
- cloud provider limitation;
- hardware wear.
And also Stackdriver Integration with other Google Cloud data tools such as BigQuery, Cloud Pub/Sub, Cloud Storage and Cloud Database.
The support team has always been excellent in handling our mostly questions, rarely problems. They are responsive, find the solution and get us moving forward again. I have never had to escalate a case with them. They have always solved our problems in a very timely manner. I highly commend the support team.
We are big users of MySQL and PostgreSQL. We were looking at replacing our aging web page caching technology and found that we could do it in SQL, but there was a NoSQL movement happening at the time. We dabbled a bit in the NoSQL scene just to get an idea of what it was about and whether it was for us. We tried a bunch, but I can only seem to remember Mongo and Couch. Mongo had big issues early on that drove us to Redis and we couldn't quite figure out how to deploy couch.
Redis has helped us increase our throughput and server data to a growing amount of traffic while keeping our app fast. We couldn't have grown without the ability to easily cache data that Redis provides.
Redis has helped us decrease the load on our database. By being able to scale up and cache important data, we reduce the load on our database reducing costs and infra issues.
Running a Redis node on something like AWS can be costly, but it is often a requirement for scaling a company. If you need data quickly and your business is already a positive ROI, Redis is worth the investment.