Operations | Monitoring | ITSM | DevOps | Cloud

How you choose to store and process your system data can have significant implications on the cost and performance of your system. These implications are magnified when your system has data-intensive operations such as machine learning, AI, or microservices. And that’s why it’s crucial to find the right data format. For example, Parquet file format can help you save storage space and costs, without compromising on performance.

In a recent user group meeting, guest speaker Marc Luescher from Amazon Web Services (AWS) joined us to give an overview of Amazon Security Lake. We talked about Cribl use cases and how Cribl Stream can bring your non-AWS data into the Security Lake. Enterprises are dealing with some significant challenges with security data in 2023. Inconsistent, incomplete, poorly-formatted log data is simultaneously scattered across companies and locked up in different silos within the organization.

In today’s fast-paced world, applications are vital for driving businesses forward. However, without proper monitoring and insights into your application’s performance, you can’t identify what causes slow response times, high CPU usage, or database bottlenecks. But with an Application Performance Monitoring (APM) tool, you can gain deep visibility into your application’s performance by tracking critical metrics.

Fujitsu is a Japanese multinational information technology equipment and services company. Headquartered in Tokyo, Fujitsu has over 100 data centers worldwide. The company and its subsidiaries offer a diverse range of products and services in areas such as personal and enterprise computing (including x86), SPARC, and mainframe-compatible server products.

As you’d imagine, generative AI has been a huge topic here at Grafana Labs. We’re excited about its potential role in bridging the gap between people and the beyond-human scale of observability data we work with every day. We’ve also been talking a lot about where open source fits in — especially if that Google researcher is right and OSS will outcompete OpenAI and friends. What role can we play to bring the community along?

The majority of users continually depend on a variety of web applications to meet their everyday needs, so a business’s success is now often proportionate to the success of its application performance. As a result, the importance of using an appropriate APM solution has become even greater to businesses globally. Application Performance Monitoring (APM) still continues to grow in popularity and is now considered a must for observing the health and performance of your organization's applications.

The nationwide Rogers outage in Canada majorly disrupted the lives of many, affecting wireless, Internet, and even people’s ability to call 911. When major network outages or Internet outages occur, it’s important to be notified as soon as they happen. Understanding the causes and identifying network outages or Internet disruptions is not only essential for individual users but also for businesses striving to maintain uninterrupted operations.

We’re excited to announce an important extension to our API. After rigorous research, testing, and feedback, we’ve launched the Error Groups endpoints. This powerful new addition aims to enhance your monitoring experience and better handle errors across your applications. Our primary aim with the introduction of these endpoints is to offer you a more detailed view into your applications’ error groups, and to offer a way to update their statuses using the API.

In this article, learn how to setup application monitoring for Python apps using an open-source solution, SigNoz.