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

Using UX and Observability to Track Application Health

UX (user experience) is a core factor that determines the success of an application or platform in a distributed system. Specifically, developers need to understand the infrastructure within an entire application stack to improve and refine the user experience to meet customer expectations without guesswork. System downtime remains a significant source of revenue and reputational losses for enterprises, employees, and customers.

How to Tackle Spiraling Observability Costs

As today’s businesses increasingly rely on their digital services to drive revenue, the tolerance for software bugs, slow web experiences, crashed apps, and other digital service interruptions is next to zero. Developers and engineers bear the immense burden of quickly resolving production issues before they impact customer experience.

Golang Monitoring using OpenTelemetry

When it comes to monitoring Golang applications, there are various tools and practices you can use to gain insights into your application's performance, resource usage, and potential issues. By using OpenTelemetry for monitoring in your Go applications, you can gain valuable insights into the behavior, performance, and resource utilization of your distributed systems, allowing you to troubleshoot issues, optimize performance, and improve the overall reliability of your software.

Data Observability's Impact on Business Decisions and Strategies

In today's data-driven world, businesses rely heavily on data to make important decisions and formulate strategies. However, one crucial element is often overlooked - data observability. Observing and understanding the behavior and performance of data systems and applications is vital to making accurate and informed decisions. In this blog post, Dennis Bonnen will explore the impact of data observability on business decisions and strategies.
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3 Reasons to Prioritize Observability as part of Application Integration Strategy

Most companies in today's business landscape that deal with large amounts of data want to integrate their applications so that they can pass data between them seamlessly and easily. Being able to ensure that you can see exactly what is happening at every stage of the process is key, and this is where approaching the process with observability in mind can make a real difference. Deciding at the outset that observability is something that you want to be baked into the process means that you can plan and execute with that in mind.

Automatic Instrumentation for OpenTelemetry Go

The OpenTelemetry Go project now supports automatic instrumentation via eBPF! This is a big milestone for the project and makes it significantly easier to generate data from your Go apps: The automatic instrumentation agent is still in s/alpha/beta today, but it’s ready for you to try on your applications!

Announcing Easy Connect - The Fastest Path to Full Observability

Logz.io is excited to announce Easy Connect, which will enable our customers to go from zero to full observability in minutes. By automating service discovery and application instrumentation, Easy Connect provides nearly instant visibility into any component in your Kubernetes-based environment – from your infrastructure to your applications. Since applications have been monitored, collecting logs, metrics, and traces have often been siloed and complex.

Sumo Logic Customer Brown Bag - Observability - July 31st, 2023

In this session, Jeff Deininger, Architect Solutions Engineer from Sumo Logic, shows how to perform version control using Sumo Logic API. If you are interested in an engagement to receive additional guidance from Sumo Logic's Professional Services team, please reach out to your Sumo Logic Account Manager and/or Customer Success Manager.

How to Implement Cloud Cost Optimization in Observability

Although microservices and cloud architectures are the new norm for modern applications, cloud cost optimization could run high in observability. High costs are largely due to the number of components involved in cloud architectures. According to Cloud Data Insights in a recent report, around 71% of IT companies say that cloud observability logs are growing at an alarming rate— a driving factor for rising observability costs.