Operations | Monitoring | ITSM | DevOps | Cloud

Third-party APIs and cloud based software as a service (SaaS) tools have become a cornerstone of modern enterprises. It is essential to monitor log data and optimize API performance. This will ensure that development teams provide the desired advantages to clients and users. To address this challenge, businesses can use an observability pipeline. It is a set of tools and processes that monitor and analyze data from various sources. That includes third-party APIs and SaaS tools.

Dear Miss O11y, I remember reading quite interesting opinions from you about usage of metrics and traces in an application. Did you elaborate on those points in a blog post somewhere, so I can read your arguments to forge some advice for myself? I must admit that I was quite puzzled by your stance regarding the (un)usefulness of metrics compared to traces in apps in some contexts (debugging).

In the Technical Validation report, “SolarWinds Observability: Observability and Service Management for Modern Application Architectures,” TechTarget’s Enterprise Strategy Group examined SolarWinds® Observability for its ability to support organizations no matter where they are in their digital transformation journeys. In this Technical Summary, we highlight some of the high-level findings. For the full analysis, you can download the report for free.

The observability landscape is changing fast, as organizations look to deploy applications and separate themselves from competition at a breakneck pace. What are the trends organizations need to be aware of as they make sense of the landscape? Every year, we at Logz.io set out to answer this question by going right to the DevOps and observability practitioners on the front lines.

Broadcom has been named the highest-scoring vendor for the third consecutive year in a row in the 2023 Radar Report for Network Observability.

Over the past several years, one topic that has become of increasing importance for DevOps and site reliability engineering (SRE) teams is AIOps. Artificial intelligence for IT Operations (AIOps) is the application of artificial intelligence (AI), machine learning (ML), and analytics to improve the day-to-day operational work for IT operations teams.

Seems like everyone is building a ChatGPT thing right now, doesn’t it? Well we are too! Inspired by so many others, we decided to see what AI could do with our simplified analytics and observability data. Turns out, it can do quite a lot. I’m thrilled to share that we’ve shipped our first AI insights chatbot, Professor Sloth.

It’s 5:00 pm on a Friday. You’re wrapping up work, ready to head into the weekend, when one of your high-value customers Slacks you that something’s not right. Requests to their service are randomly timing out and nobody can figure out what’s causing it, so they’re looking to your team for help. You sigh as you know it’s one of those all-hands-on-deck situations, so you dig out your phone and type the "going to miss dinner" text.

You know the old saying, I’m sure: “April deploys bring May joys.” Okay, maybe it doesn’t go exactly like that, but after reading what we’ve been up to for the past month, I think it might be time for an update. Let’s dive into our Feature Focus April 2023 edition.

Code instrumentation is closely tied to debugging. Ask one of the experienced developers and they will swear by it for their day-to-day debugging needs. With modest beginnings in the form of print statements that label program execution checkpoints, present-day developers employ a host of advanced techniques for code instrumentation. When carried out in the right way, it improves developer productivity and also reduces the number of intermediate build/deployment cycles for every bug fix.