Operations | Monitoring | ITSM | DevOps | Cloud

Observability

The latest News and Information on Observabilty for complex systems and related technologies.

4 Ways a Consistent Schema Drives More Value From Your Observability Data

One of the hardest challenges in computer science is deciding what to name things. Adoption of consistent nomenclature is difficult because there is no one right answer. In fact, it’s not uncommon for different teams within organizations to choose different names for the same technologies. In the world of monitoring and observability, this can create quite a lot of confusion – not to mention wasted resources.

Getting _____________ for Less from Your Analytics Tools

Your analytics system of choice is probably pulling triple-duty for your enterprise–data collection, data storage, and its primary goal: analytics for monitoring, reporting and taking action. In this session we discuss considerations for various use cases, and why and how to use Cribl Stream to customize the processing and routing of various data sources to optimize, enrich, and route your data based on its content, value, and purpose.

Apica Acquires LOGIQ.AI to Revolutionize Observability

In the world of observability, having the right amount of data is key. For years Apica has led the way, utilizing synthetic monitoring to evaluate the performance of critical transactions and customer flows, ensuring businesses have important insight and lead time regarding potential issues.

Optimizing cloud resources and cost with APM metadata in Elastic Observability

Application performance monitoring (APM) is much more than capturing and tracking errors and stack traces. Today’s cloud-based businesses deploy applications across various regions and even cloud providers. So, harnessing the power of metadata provided by the Elastic APM agents becomes more critical. Leveraging the metadata, including crucial information like cloud region, provider, and machine type, allows us to track costs across the application stack.

From Disruptions to Resilience: The Role of Splunk Observability in Business Continuity

In today's market, companies undergoing digital transformation require secure and reliable systems to meet customer demands, handle macroeconomic uncertainty and navigate new disruptions. Digital resilience is key to providing an uninterrupted customer experience and adapting to new operating models. Companies that prioritize digital resilience can proactively prevent major issues, absorb shocks to digital systems and accelerate transformations.

Reducing Mean Time to Diagnosis: How Salary Finance Uses Honeycomb to Ask the Right Questions

Salary Finance is a UK-based financial well-being employee benefit program. Over the last seven years, the company grew from a startup to a scaleup, earning rave reviews along the way from its more than 4,000 customers. However, with fast growth also comes natural growing pains. As their customer base expanded, so did the number of incidents they experienced, which also became harder to diagnose due to lack of visibility into their increasingly complex environment.

Managing your applications on Amazon ECS EC2-based clusters with Elastic Observability

In previous blogs, we explored how Elastic Observability can help you monitor various AWS services and analyze them effectively: One of the more heavily used AWS container services is Amazon ECS (Elastic Container Service). While there is a trend toward using Fargate to simplify the setup and management of ECS clusters, many users still prefer using Amazon ECS with EC2 instances.

Effective Remote Debugging with VS Code

This post will discuss remote debugging in VS Code and how to improve the remote debugging experience to maximize debugging productivity for developers. Visual Studio Code, or VS Code, is one of the most popular IDEs. Within ten years of its initial release, VS Code has garnered the top spot among popularity indices, and its community is growing steadily. Developers love VS Code not only for its simplicity but also due to its rich ecosystem of extensions, including the support for debugging.

The Evolution of the Service Model In the Data Industry

Cribl’s Ed Bailey will lead a great discussion with nth degree’s Paul Stout and Scott Gray about the evolution of the service model from time and materials to outcome-based services. We will share our own stories about our experiences with services and how to make them better. Join the live stream for a fun discussion and come armed with suggestions for how to make your next services engagement better.