Managing agile software deployment for cloud infrastructure can be challenging. Deployments should be automated whenever possible to ensure consistent version management. Nevertheless, it can happen that identical software versions are not deployed to all servers. Such imperfect version management is a potential time-bomb. Distributed systems and microservices often rely on the deployment of the exact same software version installed on every cluster node.

The Grafana community comes up with some pretty cool stuff, and we’re hoping to spotlight some of it from time to time. Today, we’re starting with the BigQuery datasource plugin developed by the team at DoiT International. DoiT is a reseller of Google Cloud and AWS that helps companies either move from on premise to cloud or move from one cloud provider to another.

The ELK Stack is the world’s most popular open source log analytics and log management platform. Together, the four main components of the stack — Elasticsearch, Logstash, Kibana and Beats, provide users with a powerful tool for aggregating, storing and analyzing log data. In production environments, the ELK Stack requires an infrastructure flexible and powerful enough to power it.

Learn the best Splunk alternative, what to look for in alternative solutions, and other factors like logging features, speed, ease of use, deployment, scalability, and cost.What Does Splunk Do?Since its first release in 2007, Splunk quickly became one of the leading log management solutions. Its focus on enterprise grade log analysis and security incident and event management (SIEM) made it the de facto choice for organizations generating large volumes of log files and machine data.

Presto is an open source SQL query engine that runs analytics on large datasets queried from a range of sources, including Hadoop and Cassandra. Presto was originally developed by Facebook to run queries on its large Apache Hadoop data warehouse and is now used as an interactive analytics tool at companies like Airbnb, Uber, and Netflix.

As you navigate through Datadog, you may find that you want to dive into a graph to explore your timeseries data more deeply, or make quick changes to a graph without permanently altering it. To make it easier to explore the data in your graphs, we’re excited to introduce a newly revamped full-screen view for our timeseries graphs. You can now quickly and easily apply functions, navigate through time to find anomalies, and save and share your work.

Responsible for collecting various system and service metrics and forwarding them downstream to a backend storage system, the role metric collectors play in monitoring pipelines is crucial. Despite this fact, they often get left in the shadows cast by the beautiful frontend analysis tools like Kibana or Grafana. In the world of open source monitoring stacks, Metricbeat and Telegraf stand out as the most popular metric collectors. The truth is that they do much more than simply collect metrics.