The structured nature of Kubernetes enables a repeatable and scalable means of deploying and managing services and applications. This has led to widespread adoption across market verticals for both on-premises and cloud deployment models. The autonomous nature of Kubernetes operation, however, demands comprehensive, fully-converged observability and security. This is uniquely possible today using the Elastic platform.

Observability is a growing practice that provides many benefits to IT and DevOps teams. With greater visibility into their environments, teams can determine the state of the system, predict issues, and mitigate them before end users are impacted. Observability makes data more usable and in turn, businesses reap the benefits of having great insights. Are you on the fence on whether to get started with your own observability practice? Check out these 12 observability benefits and get started today!

As organizations strive to meet the challenges of digital transformation, they are adopting newer technologies to build more robust software systems. Next generation observability solutions are paving the way to help them meander this maze to deliver better customer experiences and drive business results.

This past October, we had the pleasure of meeting with 11 IT leaders from diverse industries—including healthcare, financial services, education, telecom, logistics, and technology— as part of our inaugural SolarWinds Customer Advisory Board (CAB) meeting. The CAB is an exciting initiative for both myself, and our GVP of Customer Success, Anselm Peng.

Configuration Management and Change Tracking are well known key tenets of project management. Change tracking and controlled change ensure that there is a record of the state of a system and if issues arise the cause can be linked to effects. In this blog, I will use a real-world example to demonstrate the importance of configuration and change tracking when it comes to IT observability.

A couple of weeks ago, I had the opportunity to attend AWS re:invent, one of the biggest cloud industry events of the year. An event so massive and big that only AWS can pull it off – 50,000 people marching across half a dozen of the finest hotels on the Las Vegas strip. The expo hall alone would have taken more than a couple of days to cover all the vendor booths spread across the expansive Venetian convention center.

Observability tools have traditionally focused on capturing and analyzing log data to improve application performance monitoring and security. Data observability turns the focus back on the data to improve data quality, tune data infrastructure and identify problems in data engineering pipelines and processes. “Data analysts and business users are the primary consumers of this data,” said Steven Zhang, director of engineering at Hippo Insurance.

As an observability provider, we are always confronted with our clients’ goal for faster resolution of problems and better overall performance of their systems. By working on large-scale projects at Logz.io, I see the same main challenge coming up for all: extracting valuable insights from huge volumes of data generated by modern systems and applications.

We here at Honeycomb really like OpenTelemetry and goodie bags, so we have a nice little OpenTelemetry-flavored holiday goodie bag to share with you before you’re off for the holidays!

Is all observability data worth the same cost? If you guessed no, then you’d obviously be correct. Anyone familiar with the very nature of gaining targeted observability knows that some data points hold more value than others. Yet, many observability platforms still treat all types of log data the same, and as a result, related costs remain uniform. One of the most persistent observability challenges today is the cost of indexing log data.