Monitoring in production allows you to easily surface system health indicators (such as processor capacity or available memory) to provide essential visibility necessary for engineers conducting tasks related to DevOps, SysOps and resource management.
The Logit.io solution for monitoring in production uses hosted Prometheus, a tool that was created specifically for the goal of production monitoring in 2013 and the de-facto solution monitoring Kubernetes (K8s) clusters.
Without sufficient monitoring of both staging and production environments, your engineering teams will always be a step behind end users experiencing issues in your application, website or tool.
By using a hosted service harnessing the best open-source technology specifically built for monitoring in production, you can make observability an achievable goal when using the Logit.io complete monitoring platform as a centralised source of truth.
Get started with ingesting your Prometheus metrics into our managed back end to experience scale and global production monitoring within minutes.
Want to request a demo or need to speak to a specialist before you get started? No problem, simply select a time that suits you in our calendar and a member of our technical team will be happy to take you through the platform and discuss your requirements in detail.
As you run applications in production it is essential to monitor both the infrastructure that they run on and the performance metrics that demonstrate the health of applications (for example; error rates and latency).
A production monitoring system is commonly used to provide a better understanding of your operating environment, surface available capacity and visualise key performance metrics.
Efficient production monitoring software plays a key role in continuous development and provides visibility into the data often required when conducting root cause analysis and troubleshooting.
It is commonly known that the open-source tools, Grafana and Prometheus can be used in tandem for production monitoring in both typical use cases as well as more complicated and demanding tasks (such as monitoring machine learning applications).
Monitoring in production also allows you to monitor costs by seeing how efficiently resources are being utilised across your system.
Logit.io handles all of the hosting and instrumentation required to monitor your services in production by offering hosted Prometheus and Grafana. Our hosted Prometheus service is fully able to surface vital insights into application and container behaviour to provide a complete observability suite built to handle any monitoring use case that you can imagine.
One of the first aspects involved in setting up production monitoring is log aggregation. Log aggregation is seamlessly handled by the Logit.io platform and ingestion from a wide range of different sources is documented in detail in our support and onboarding documentation.
The second element of production monitoring involves collecting metrics from your cluster. Logit.io offers a zero-management way to run Prometheus in order to collect and centralise the metrics necessary for effective production monitoring.
From here you can use your metrics within reports and dashboards whilst also being able to create alerts seamlessly from the Logit.io platform.
"Internally, Logit.io has made it easier for us to provide better support for our customers, since finding individual messages based on various data in the payload has become easier.
At Youredi, pretty much everyone from our technical support teams through to our professional services teams uses Logit.io."
Mats von Weissenberg, CTO @ Youredi
When the topic of monitoring in production is raised, engineers may be caught between the choice to use either Prometheus or Elasticsearch. Some experienced users advise against using Elasticsearch to monitor high dimensional data as it can consume a lot of system resources, whereas Prometheus is better suited for handling data of this type.
When it comes to storing and displaying counters or other time series metrics, users may quickly discover that storing the same metrics in Elasticsearch is considerably more expensive than using Prometheus for the same purposes. Often used alongside Elasticsearch, Kibana, the visualisation suite of the ELK Stack can also prove to be much more resource-intensive than using Grafana for metrics visualisation.
By using Logit.io, you don't have to choose between using one open-source solution or the other as our platform provides both fully hosted Elasticsearch and Prometheus. This is ideal for users that have complicated data sets where they require the benefits of both of these tools for logs and metrics that they need centralised.
The Logit.io platform operates in compliance with GDPR, HIPAA, SOC 2 and is ISO 27001 & PCI Service Provider certified. Our platform can also be used to accelerate compliance with CMMC certification for many of the requirements of their outlined auditing and accountability controls.
At scale and in production, it is essential that enterprise organisations are ready to observe global metrics clearly, offer high availability for their applications and use long-term data retention to meet key compliance certifications.
The Logit.io platform is fully integrated with all of the essential support and onboarding tools required by professionals running a large scale software infrastructure. Our live chat & regularly updated help documentation are also here to answer any queries that you may have.
