Operations | Monitoring | ITSM | DevOps | Cloud

ITOps and Incident Management teams must manually handle high volumes of daily alerts, tickets, and incidents. This makes it challenging to spot recurring patterns that could be addressed or prevented. Without proactive problem management, teams waste time resolving repeat issues instead of focusing on higher-priority or first-time problems. Limited visibility into incident trends forces organizations to engage in reactive firefighting, diverting valuable time from addressing the root cause.

OpsGenie has served many teams well for years, but with Atlassian’s OpsGenie 2027 sunset announcement and as it enters its maintenance phase, it’s time to look forward and plan your next move. Running tomorrow’s operations on yesterday’s technology isn’t just risky – it’s holding you back. This isn’t just a transition – it’s an opportunity to leap ahead.

If you’ve been using Honeycomb for a bit, you know that Calculated Fields (otherwise known as derived columns) are a powerful way to transform your events to a format that’s easier to query and understand. However, they use a lisp-esque language that can be difficult to read and a pain to write. If you dislike making Calculated Fields and want something a little easier, here’s a generative AI prompt that can generate them from natural language.

When we launched Grafana Drilldown, our queryless experience for quicker, easier insights into your telemetry, we focused first on Prometheus because it was—and is—such a great solution for storing time series data. But as the industry continued to evolve, a different open source project began to emerge as another standard for modern observability: OpenTelemetry.

Cloud migration involves transferring digital assets, services, databases, applications, and IT resources from on-premises infrastructure to cloud environments. A well-executed cloud migration can reduce operational costs, improve scalability, enhance flexibility, and boost performance. Organizations can shift from capital-intensive infrastructure to more predictable pay-as-you-go expenses while scaling resources to match needs.

PostgreSQL is a powerful and widely used relational database, but like any system, it can suffer from performance bottlenecks. Without proper management, slow queries, inefficient indexing, and resource contention can lead to sluggish performance. In this blog, we will explore the top 10 PostgreSQL performance issues and how to fix them.

In a recent survey, it was discovered that 57% of software developers’ time is spent in meetings resolving performance problems rather than innovating software solutions. The culprit? A lack of full-stack observability. Without the right tools, IT teams are left playing a high-stakes game of “Guess That Outage” – leading to delayed response to critical incidents and excessive time spent in intense meetings focused on these incidents and their root cause.

Syntax highlighting and auto suggestions to streamline query building and troubleshooting.

As part of Atlassian’s ongoing investment in security, we’re introducing new controls to help administrators manage authentication tokens more effectively and securely. To reduce the risk of long-lived credentials becoming security vulnerabilities, all newly created access tokens in Bitbucket will require an expiry duration, as determined by the workplace admin.

We've enhanced our application performance monitoring capabilities to give you a granular view of your application's behavior with minutely metrics. Now, when you select specific time ranges in your charts, you can see short-term trends, spot anomalies faster, and gain deeper insights into your application's performance.