18 posts tagged with "Integrations"

Boomi is a leading integration Platform as a Service (iPaaS) that allows you to design, deploy, and manage integration processes. However, managing logs can be challenging. Using Parseable with Boomi reduces the headache and enables the user to experience a seamless process.

Boomi logs are a goldmine of information, helping users get the information they need, yet there are significant challenges in accessing and interpreting the logs.

Traditionally, these logs are stored in files, and extracting meaningful insights often involves manual efforts that are both time-consuming and error-prone.

In this article, learn how to use Parseable with Boomi to utilize its full potential.

Salesforce is a highly customizable and widely used CRM platform that uses observability to maintain and troubleshoot its applications. Observability in Salesforce primarily involves monitoring logs, setting up alerts, and tracking performance metrics.

The problem is that we need more of the right insights, and the leading cause of this is the app's inflexibility. This is nothing new, but how do we fix the problem?

Using an open source, flexible, and extensible tool like Parseable, along with Factorwise for Salesforce integration - you can improve observability in your Salesforce application for optimal health and performance, helping you serve customers and generate revenue. Let's see how.

Top 4 limitations for Observability in Salesforce​

Salesforce offers built-in debugging tools like debug logs dump for tracking events. These are written in Apex, or low-code features like flow. However, this has significant limitations:

• Real-time parsing challenges: Debug logs are not designed for reading in real-time, making it difficult for developers to identify and resolve issues quickly.
• Developer console limitations: While the Developer Console can search through logs, it is not user-friendly and can be unstable, especially with large log files. Its session-based nature can lead to frequent crashes.
• Performance impact: Enabling Debug logs in production environments can degrade performance, creating a trade-off between observability and system efficiency.
• Low-level detail overload: Debug logs often contain low-level details that may not be relevant to developers, who typically look for application-level logs such as System.debug calls.

How we've previously addressed these challenges​

Third-party services​

Several third-party services have tried to address Salesforce's observability challenges in the past. However, these solutions are often not viable for all Salesforce operations teams, particularly those in medium and small businesses, due to cost constraints. As a result, many teams continue to rely on the built-in debug logs despite their limitations.

Another constraint they encounter is the need for user-friendly interfaces for log visualization and searching.

Custom tooling​

Some organizations develop custom logging solutions to overcome these challenges, but they often involve storing logs within the Salesforce instance and publishing them on the Event Bus. An example of this is NebulaLogger. While effective to some extent, without a helpful user interface for log visualization and search capabilities, insights cannot be understood, evaluated, and acted upon in a way that improves observability in Salesforce. Additionally, Salesforce's native search on large text areas can be slow, hampering efficiency.

How we address Observability in Salesforce today with Parseable & Factorwise​

Parseable is an open-source log analytics tool that simplifies and enables bold insights for teams looking for a competitive edge.

Intuitive dashboard for log management​

Parseable's intuitive UI and familiar SQL syntax make it simple yet powerful for developers to query logs.

Factorwise Logger, generates unique transaction IDs for every invocation of custom Salesforce logic, simplifying the process of tracking and debugging specific transactions.

With Parseable, Salesforce logs can be parsed and searched in real time, enabling rapid identification and resolution of issues. This capability is a significant improvement over the traditional Salesforce Developer Console, providing a more stable and user-friendly interface for log management.

The right alert for the right team at the right time​

Parseable enables real-time alerts based on defined conditions, ensuring that abnormal events are promptly identified and addressed. Notifications are delivered to the right team via Slack, Alertmanager, or custom webhooks, keeping the team or person you choose informed and able to respond sooner rather than later to potential issues.

Factorwise Logger captures Salesforce governor limits on every log event generated, storing this data in Parseable. This feature enables teams to track performance bottlenecks and optimize their applications effectively.

Visualize metrics that matter to your team​

Parseable also supports the aggregation and visualization of business and operational metrics!

For example, teams can track the number of leads converted over various time intervals, gaining insights that are difficult to obtain using native Salesforce reports. Parseable's fast query results make real-time data analysis straightforward and efficient.

For Grafana fans and users, Parseable integrates seamlessly with this popular platform for monitoring and observability to create real-time dashboards that provide a comprehensive view of system performance and business KPIs, enabling data-driven decision-making.

Parseable x Factorwise is ideal for Salesforce log analytics​

Factorwise is building a Salesforce native logger, that integrates very well with Parseable. This logger is built with detailed insights from 100s of Salesforce users. Meanwhile, Parseable stands out as the optimal choice for Salesforce observability for several reasons:

• Ease of use: Parseable is easy to deploy, operate, and scale, making it accessible for organizations of all sizes. Its intuitive UI and SQL-based query language reduce the learning curve and enable rapid adoption.
• Comprehensive features: Parseable offers a range of built-in features, including real-time log parsing, alerts, RBAC (Role-Based Access Control), and soft-multi tenancy through stream-based segregation. These capabilities ensure that teams have everything they need to maintain robust observability.
• Cost-effectiveness: For medium and small businesses, Parseable provides a cost-effective solution that doesn't require extensive resources to manage. This makes it an attractive alternative to more expensive third-party services.

If you'd like to talk about how Parseable x Factorwise can help your Salesforce team, please schedule a demo.

We'd love for you to try Parseable today! Ask questions and tell us what you think by joining our community in Slack.

Clickstream consists of a series of ongoing user events (such as page visits, button clicks, form submissions, etc.) on websites or apps. These events capture a wealth of information about user behavior and site usability. Data-driven teams log these events, query, and sequence them to gain insights. Teams from marketing, product, and UI/UX departments use this data as a secret sauce to build delightful products.

In the dynamic landscape of Kubernetes network security, it is necessary to be cautious. Tetragon is an eBPF-based Security Observability and Runtime Enforcement tool that integrates with Parseable, a lightweight, high-performance log analytics tool. This post walks you through how to extract and analyse network connections effectively in Parseable using Tetragon. We'll explore how to trigger an alert in the event of outbound connections occurring from the running pod.

Engineers often run into the issue of reproducibility of an issue. Something that happens at one location is hard to reproduce at another location. More often so, for SREs and DevOps folks whose jobs revolve around several moving parts.

Folks at Fiberplane saw this problem and decided to solve it. Fiberplane provides collaborative notebooks for incident debugging, post-mortem, runbooks and general DevOps debugging.

Traditionally Linux kernel has been one of the best places to implement security and observability features, but also very difficult in practice, because you can't add new features to the kernel. eBPF changes this by securely enhancing the Kernel functionality at runtime. eBPF allows sandboxed programs to be executed in the Linux kernel without changing the kernel source code or requiring a reboot. It extends the Linux kernel at runtime.

Generative AI has been making waves recently, and we're excited to announce how we've used OpenAI to bring Natural Language-based SQL generation to Parseable. In this blog post, we'll delve into the technical aspects of this feature, its potential applications, and what lies ahead on our development roadmap.

AWS Lambda is a serverless compute service that allows you to run code in response to certain events. However, debugging, monitoring or audit logs of Lambda functions are tightly coupled to AWS CloudWatch, which is a leading cost driver for Enterprises. In this post, we will see how to use Parseable to ingest logs and store them in a cost effective manner on AWS S3 for longer and more meaningful analytics.