Operations | Monitoring | ITSM | DevOps | Cloud

There is no more valuable confirmation that your business is doing the right thing than positive feedback directly from your customers. That’s why we are honored and grateful to have achieved TrustRadius “Top-Rated” status across an astounding eight categories.

The telecom industry is at an inflection point today, where the endless possibilities of 5G meet the growing challenges of accelerating 5G monetization. This is particularly true for telecom providers who have pumped billions of dollars in building 5G networks. The telecom cloud market is expected to cross USD 74 billion by 2026.

Raygun has a long history of continually improving the quality and capability of our Crash reporting grouping logic. Across thousands of customers, it’s essential to help teams quickly discern where to allocate their resources to fix bugs, resolve performance issues, and create better experiences for customers. Today, we’re pleased to launch a new and improved grouping system for Python.

SEO, or search engine optimization, has fundamentally transformed the way that companies manage and maintain their digital presence in the modern globalized economy. With the power of Google to direct potential customers to your business entirely based on your relevance to key search terms around your operations, knowing your SEO strengths and weaknesses is a must to keep up with your competition.

You probably have heard of logging agents, such as Logstash or Fluent Bit, if you’ve been investigating log analysis, monitoring, and observability. If so, and you’re wondering what logging agents are and why you might need them, you’ve come to the right place. This article will look at what logging agents are for, their advantages, and what you can use instead of a logging agent.

We are excited to share the latest advances around the Deep Learning Toolkit App for Splunk (DLTK). Earlier this year, Splunk’s Machine Learning Toolkit (MLTK) was updated with some important changes. Please refer to the blog post Driving Data Innovation with MLTK v5.3 and the official documentation to learn more about what changes were made and most importantly how they may affect you, especially if you run MLTK models in production.

It’s no secret that edge networks, edge computing, and IoT are some of the biggest current trends in IT circles. In fact, Gartner projects that 75% of data will be created and processed outside of traditional centralized locations by 2025, up from about 10% in 2018.

In this article, we will explain what Microsoft Azure is and how you can monitor its data. We will also learn how to integrate Microsoft Azure with MetricFire. Last, we will look at the benefits of using MetricFire’s monitoring solution with Azure metrics. Try the free trial version of MetricFire and enjoy all the benefits of using our system. Book a demo with our team and discuss in detail the process of integrating Microsoft Azure and MetricFire.

AWS Lambda execution lifecycle has main phases: initialization, invocation, and shutdown. In the initialization phase, Lambda creates the runtime environment, downloads the code, imports everything needed, and runs the functions initialization code. In the invocation phase, the Lambda will get an input, process it, and produce an output. After the invocation phase, Lambda will go to an ideal state and wait for the next input.