Operations | Monitoring | ITSM | DevOps | Cloud

5 Costly Mistakes to Avoid When Outsourcing Java Development

5 Costly Mistakes to Avoid When Outsourcing Java Development

Apr 29, 2025 By OpsMatters In OpsMatters
Java has been around for nearly three decades. And it's still one of the most in-demand programming languages in the world. Businesses often need enterprise applications, cloud platforms, and mobile apps. For this, they rely on Java software development services to build secure, scalable solutions. To keep with this growing demand, many companies now outsource Java development. It makes sense. Outsourcing offers access to a larger talent pool, faster delivery cycles, and lower costs compared to hiring and training in-house teams.
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coroot

Troubleshooting Java Applications with Coroot

Apr 22, 2025 By Nikolay Sivko In Coroot
Java applications run on top of the JVM — a powerful but complex runtime environment that re-implements many OS features. It has its own memory management, garbage collector, and dynamic code compiler (JIT). While these features help with performance and portability, they often make troubleshooting a real challenge. At Coroot, we recently improved our support for continuous profiling in JVM-based applications.
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sumologic

How to create and monitor an AWS Lambda function in Java 11

Apr 15, 2025 By Colin Fernandes In Sumo Logic
Serverless computing is a modern cloud-based application architecture in which the application’s infrastructure and support services layer are completely abstracted from the software layer. While every application still relies on physical servers to run, serverless applications shift that responsibility to cloud service providers like Amazon Web Services (AWS).
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last9

Java Util Logging Configuration: A Practical Guide for DevOps & SREs

Apr 8, 2025 By Anjali Udasi In Last9
Setting up proper logging is like having a good navigation system when you're driving through unfamiliar territory. For DevOps engineers and SREs managing Java applications, understanding how to configure the built-in java.util.logging framework is essential knowledge that can save you hours of troubleshooting headaches. Let's break down java util logging configuration in a way that makes sense — no fancy jargon, we promise!
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metricfire

Easiest Way to Monitor Your Java Application Using OpenTelemetry

Mar 25, 2025 By Benjamin Pitts In MetricFire
When you're running a Java application, the JVM is doing a ton of work behind the scenes but unless you're actively collecting its internal metrics, you're essentially flying blind. Fortunately, the JMX Prometheus Receiver paired with the JMX Java Exporter Agent offers one of the simplest and most effective ways to expose JVM performance data.
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metricfire

How to Monitor JVM with OpenTelemetry and MetricFire

Mar 21, 2025 By Benjamin Pitts In MetricFire
When you're running a Java application, the JVM is doing a ton of work behind the scenes but unless you're monitoring those internals, it's hard to know how your app is really performing. JVM metrics give you a window into the heart of the runtime: how much memory you're using, how often garbage collection is kicking in, how many threads are active, and where potential bottlenecks might be hiding.
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site24x7

Identifying and fixing deadlocks in Java

Mar 14, 2025 By Kirubanandan RA In Site24x7
A deadlock occurs when two or more threads are continuously blocked after waiting for the same resources. In other words, Thread A is waiting for a resource held by Thread B, while Thread B is also waiting for a resource held by Thread A. This creates a loop of blocking, causing the application to become unresponsive.
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eg innovations

7 Java Exception Monitoring Blind Spots That SREs Must Eliminate

Mar 10, 2025 By Arun Aravamudhan In eG Innovations
It’s 2 a.m. Alerts flood your dashboard. Transactions are failing, but logs offer no clues. Your SRE team is drowning in noise—while users struggle with outages. As Java workloads shift to microservices, Kubernetes, and the cloud, this problem is compounded. Exceptions cascade across tiers, triggering blame games while the root cause remains buried under fragmented logs and scattered alerts. Legacy monitoring tools overwhelm SREs with raw data but fail to connect the dots.
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